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Advances in Artificial Intelligence [[electronic resource] ] : 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part I / / edited by Ildar Batyrshin, Grigori Sidorov
| Advances in Artificial Intelligence [[electronic resource] ] : 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part I / / edited by Ildar Batyrshin, Grigori Sidorov |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XXV, 596 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Application software Pattern recognition Data mining Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Information Systems Applications (incl. Internet) Pattern Recognition Data Mining and Knowledge Discovery |
| ISBN | 3-642-25324-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Title -- Preface -- Organization -- Table of Contents -- Automated Reasoning and Multi-Agent Systems -- Case Studies on Invariant Generation Using a Saturation Theorem Prover -- Introduction -- Preliminaries -- Symbol Elimination and Invariant Generation in Vampire -- Program Analysis in Vampire -- Theory Reasoning in Vampire -- Symbol Elimination in Vampire -- Pruning Generated Invariants -- Proving Invariants, Postconditions, and Assertions -- Experimental Results -- Challenging Benchmarks -- Industrial Examples -- Analysis of Experiments -- Related Work -- Conclusions -- References -- Characterization of Argumentation Semantics in Terms of the MMr Semantics -- Introduction -- Background -- Syntax and Some Operations -- The MMr Semantics -- Argumentation Theory -- Relation between CF2 and MMr -- Preferred Extension and MMr Semantics -- Conclusions -- References -- Learning Probabilistic Description Logics: A Framework and Algorithms -- Introduction -- Basics -- Description Logics -- Probabilistic Description Logics and crALC -- Learning Description Logics -- Learning with the PDL crALC -- The Probabilistic Score Function -- The Algorithm to Learn Probabilistic Terminologies -- Experiments -- Experiments on Description Logic Learning -- Experiments on Learning Probabilistic Terminologies -- Conclusion -- References -- Belief Merging Using Normal Forms -- Introduction -- Preliminaries -- Normal Partial Satisfiability -- Comparing Results -- Postulates -- Algorithm PS-Merge -- Prime Implicant-Based Merging -- Conclusion -- References -- Toward Justifying Actions with Logically and Socially Acceptable Reasons -- Introduction -- Background and Objectives -- Related Work -- Motivating Example -- Logical Preliminaries -- Structuring Arguments and Defeat Functions -- Practical and Theoretical Arguments.
Theoretical, Preference-Based and Welfare-Based Defeats -- Justifying Logically and Socially Acceptable Reasons -- Analyzing Structured Practical Argumentation Frameworks -- Analyzing Layered Practical Argumentation Frameworks -- Illustrative Example -- Conclusions and Future Work -- References -- A Complex Social System Simulation Using Type-2 Fuzzy Logic and Multiagent System -- Introduction -- Representation of Uncertainty in a MAS -- Simulation of a Social Complex System -- Interactions between Agents -- Use of Type-2 Fuzzy Logic -- Simulation Results -- Conclusions and Future Work -- References -- Computing Mobile Agent Routes with Node-Wise Constraints in Distributed Communication Systems -- Introduction -- Problem Formulation -- Algorithm Description -- Dynamic Programming (DP) Algorithm -- General Description of the FPTAS -- Stage A: Finding Preliminary Lower and Upper Bounds for PN1 -- Stage B: Finding Improved Bounds for PN1 -- Stage C: The \epsilon-Approximation Algorithm -- Discussion and Concluding Remarks -- References -- Collaborative Redundant Agents: Modeling the Dependences in the Diversity of the Agents' Errors -- Introduction -- Related Work -- A Model of Dependences for Collaborative Agents -- Experiments and Analyses -- Conclusions and Future Work -- Modeling and Using Dependences in Trust and Reputation Networks -- References -- Strategy Patterns Prediction Model (SPPM) -- Introduction -- RoboCup 2D Soccer Simulator -- Knowledge Base Creation -- In-Game Features -- Results Obtained -- Conclusions and Further Work -- References -- Fuzzy Case-Based Reasoning for Managing Strategic and Tactical Reasoning in StarCraft -- Introduction -- Related Work -- Strategic Reasoning -- Strategy Selection -- Case Representation for Strategies -- Methodology to Build the Case Base -- Matching Treat -- Tactical Reasoning. Abstraction of the Space -- Fuzzy Case Representation -- Fuzzy Sets and Case Base -- Fuzzy Matching Method -- Experiments and Results -- Conclusions and Future Work -- References -- Problem Solving and Machine Learning -- Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach -- Introduction -- Solution Approach -- Variable and Value Ordering -- CSP Instances and the Problem State Representation -- The Decision Matrix Hyper-heuristic and the Local Improvement Approach -- Experiments and Results -- Experiment I -- Experiment II -- Experiment III -- Conclusions -- References -- Improving the Performance of Heuristic Algorithms Based on Causal Inference -- Introduction -- Learning Explanations through Causal Inference -- Causal Models -- Learning Causal Models from Data -- Causal Analysis of Parameters in WABP Algorithm -- Weight Annealing Algorithm for the Bin Packing Problem -- Experimental Design -- Learning a Causal Model from the Experimental Data -- Conclusions and Future Work -- References -- Fuzzified Tree Search in Real Domain Games -- Introduction -- Current Situation in Game Tree Search -- The Fuzzy Approach -- The Fuzzified Search Algorithm -- Game Setup -- Experimental Results -- Conclusions and Future Work -- References -- On Generating Templates for Hypothesis in Inductive Logic Programming -- Introduction -- Background -- Incremental Template Generation -- History-Driven Tabu Template Generation -- Stochastic Extension of History-Driven Tabu Template Generation -- Experimental Results -- Conclusions -- References -- Towards Building a Masquerade Detection Method Based on User File System Navigation -- Introduction -- Masquerade Detection -- The SEA Dataset -- Masquerade Detection Mechanisms: An Overview -- Navigation Structures -- Access Graph -- Directory Graph -- Some Preliminary Results. Construction- and Validation-Masquerade Datasets -- Experimentation Results -- Discussion -- Conclusions -- References -- A Fast SVM Training Algorithm Based on a Decision Tree Data Filter -- Introduction -- Preliminaries -- Support Vector Machines -- Decision Trees -- Implementing a Data Filter Algorithm -- Algorithm Description -- SVM Training Based on Data Filter -- Experimental Results and Comparison -- Data Sets -- Classification Accuracy and Training Time -- Conclusions and Future Work -- References -- Optimal Shortening of Covering Arrays -- Introduction -- Problem Definition -- Related Work -- The OSCAR Problem Is NP-Complete -- Algorithms to Solve the OSCAR Problem -- Greedy Algorithm to Solve the OSCAR Problem -- Exact Algorithm to Solve OSCAR Problem -- Experimentation and Results -- Conclusions -- References -- An Exact Approach to Maximize the Number of Wild Cards in a Covering Array -- Introduction -- Background -- Exact Approach for Wild Card Detection -- Symbol Fixing Process -- Exact Algorithm for Wild Card Identification: wcBBCA -- Experimental Results -- Experiment 1: Identification of Wild Cards in a CA Benchmark -- Experiment 2: Wild Card Profile Detection for Larger CAs -- Experiment 3: Diversity in the Wild Card Profiles -- Conclusions -- References -- Intelligent Learning System Based on SCORM Learning Objects -- Introduction -- SCORM Sequencing -- Intelligent Tutoring Systems -- Sequencing and Navigation in ITS -- Using Probabilistic Graphical Models for Adaptive Sequence -- Using Decision Networks in the Sequencing and Navigation of Los -- Intelligent Learning System Based on Learning Objects -- General Architecture of the System -- Domain Knowledge Model -- Tutor Module -- Case Study -- Description of the Evaluation Process -- Results and Discussion -- Model Validation in Electrical Sector -- Conclusions -- References. Natural Language Processing -- A Weighted Profile Intersection Measure for Profile-Based Authorship Attribution -- Introduction -- Related Work -- Proposed Method -- Experimental Evaluation -- Authorship Attribution Data Sets -- CNG-SPI vs CNG-WPI -- CNG-SPI vs Classification-based methods -- Conclusions -- References -- A New General Grammar Formalism for Parsing -- Introduction -- Grammatical Framework -- ConstrainedW-Grammars -- Probabilistic CW-Grammars -- Learning CW-Grammars from Tree-Banks -- Some Further Technical Notions -- Capturing State of the Art Parsers -- Bilexical Grammars -- Markov Rules -- Stochastic Tree Substitution Grammars -- References -- Contextual Semantic Processing for a Spanish Dialogue System Using Markov Logic -- Introduction -- Dialogue Models -- Semantic Processing -- Word Enhanced Spotting -- Markov Logic -- Corpus -- Experiments -- Exploratory and Baseline Experiments -- Context Experiments -- Results -- Conclusions -- References -- A Statistics-Based Semantic Textual Entailment System -- Introduction -- Related Work -- Universal Networking Language -- System Description -- UNL En-Conversion Module -- Pre-processing Module -- Scoring Module -- Decision Module -- Experimental Results -- Error Analysis -- Conclusions -- References -- Semantic Model for Improving the Performance of Natural Language Interfaces to Databases -- Introduction -- Background -- Problems in Queries -- Semantically Enriched Database Modeling -- Grammatical Descriptors -- Entities -- Attributes -- Relationships -- Specialization and Generalization -- SEM Representation -- Case Study -- Final Remarks and Future Work -- References -- Modular Natural Language Processing Using Declarative Attribute Grammars -- Introduction -- General Notation -- Underlying Foundation -- Grammars, Top-Down Parser and Combinators. Declarative and Executable Attribute Grammars. |
| Record Nr. | UNISA-996465683203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Artificial Intelligence [[electronic resource] ] : 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings, Part I / / edited by Grigori Sidorov, Arturo Hernández Aguirre, Carlos Alberto Reyes Garcia
| Advances in Artificial Intelligence [[electronic resource] ] : 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings, Part I / / edited by Grigori Sidorov, Arturo Hernández Aguirre, Carlos Alberto Reyes Garcia |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XXIII, 479 p. 190 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Application software Pattern recognition Data mining Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Information Systems Applications (incl. Internet) Pattern Recognition Data Mining and Knowledge Discovery |
| ISBN | 3-642-16761-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Paper -- Some Encounters on the Productive Use of a Failed Proof Attempt or a Counterexample -- Natural Language Processing -- Discourse Segmentation for Spanish Based on Shallow Parsing -- Towards Document Plagiarism Detection Based on the Relevance and Fragmentation of the Reused Text -- Lexicon Based Sentiment Analysis of Urdu Text Using SentiUnits -- A Semantic Oriented Approach to Textual Entailment Using WordNet-Based Measures -- On Managing Collaborative Dialogue Using an Agent-Based Architecture -- Dialog Structure Automatic Modeling -- A Probabilistic Model Based on n-Grams for Bilingual Word Sense Disambiguation -- Information Retrieval with a Simplified Conceptual Graph-Like Representation -- Teaching a Robot to Perform Tasks with Voice Commands -- Music Composition Based on Linguistic Approach -- Robotics, Planning and Scheduling -- A Practical Robot Coverage Algorithm for Unknown Environments -- An Algorithm for the Automatic Generation of Human-Like Motions Based on Examples -- Line Maps in Cluttered Environments -- Fuzzy Cognitive Maps for Modeling Complex Systems -- Semantic Representation and Management of Student Models: An Approach to Adapt Lecture Sequencing to Enhance Learning -- An Effective Heuristic for the No-Wait Flowshop with Sequence-Dependent Setup Times Problem -- Optimizing Alternatives in Precedence Networks -- AI-Based Integrated Scheduling of Production and Transportation Operations within Military Supply Chains -- Turbo Codification Techniques for Error Control in a Communication Channel -- A New Graphical Recursive Pruning Method for the Incremental Pruning Algorithm -- A New Pruning Method for Incremental Pruning Algorithm Using a Sweeping Scan-Line through the Belief Space -- POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative Method -- Computer Vision and Image Processing -- Testing Image Segmentation for Topological SLAM with Omnidirectional Images -- Automatic Image Annotation Using Multiple Grid Segmentation -- Spatio-temporal Image Tracking Based on Optical Flow and Clustering: An Endoneurosonographic Application -- One Trilateral Filter Based on Surface Normal -- Beta-Measure for Probabilistic Segmentation -- Robust Spatial Regularization and Velocity Layer Separation for Optical Flow Computation on Transparent Sequences -- SAR Image Denoising Using the Non-Subsampled Contourlet Transform and Morphological Operators -- Logic and Distributed Systems -- Scheme-Based Synthesis of Inductive Theories -- A Possibilistic Intuitionistic Logic -- Jason Induction of Logical Decision Trees: A Learning Library and Its Application to Commitment -- Extending Soft Arc Consistency Algorithms to Non-invertible Semirings -- Frequency Transition Based Upon Dynamic Consensus for a Distributed System -- AI-Based Medical Application -- Towards Ubiquitous Acquisition and Processing of Gait Parameters -- Intelligent Wheelchair and Virtual Training by LabVIEW -- Environmental Pattern Recognition for Assessment of Air Quality Data with the Gamma Classifier -- Massive Particles for Brain Tractography -- Emotional Conversational Agents in Clinical Psychology and Psychiatry -- Knowledge-Based System for Diagnosis of Metabolic Alterations in Undergraduate Students. |
| Record Nr. | UNISA-996465712703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in artificial intelligence : 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010 : proceedings, part 1 / / Grigori Sidorov, Arturo Hernandez Aguirre, Carlos Alberto Reyes Garcia (eds.)
| Advances in artificial intelligence : 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010 : proceedings, part 1 / / Grigori Sidorov, Arturo Hernandez Aguirre, Carlos Alberto Reyes Garcia (eds.) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XXIII, 479 p. 190 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
SidorovGrigori
Hernandez AguirreArturo ReyesCarlos A (Carlos Alberto) |
| Collana |
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in artificial intelligence |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-642-16761-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Paper -- Some Encounters on the Productive Use of a Failed Proof Attempt or a Counterexample -- Natural Language Processing -- Discourse Segmentation for Spanish Based on Shallow Parsing -- Towards Document Plagiarism Detection Based on the Relevance and Fragmentation of the Reused Text -- Lexicon Based Sentiment Analysis of Urdu Text Using SentiUnits -- A Semantic Oriented Approach to Textual Entailment Using WordNet-Based Measures -- On Managing Collaborative Dialogue Using an Agent-Based Architecture -- Dialog Structure Automatic Modeling -- A Probabilistic Model Based on n-Grams for Bilingual Word Sense Disambiguation -- Information Retrieval with a Simplified Conceptual Graph-Like Representation -- Teaching a Robot to Perform Tasks with Voice Commands -- Music Composition Based on Linguistic Approach -- Robotics, Planning and Scheduling -- A Practical Robot Coverage Algorithm for Unknown Environments -- An Algorithm for the Automatic Generation of Human-Like Motions Based on Examples -- Line Maps in Cluttered Environments -- Fuzzy Cognitive Maps for Modeling Complex Systems -- Semantic Representation and Management of Student Models: An Approach to Adapt Lecture Sequencing to Enhance Learning -- An Effective Heuristic for the No-Wait Flowshop with Sequence-Dependent Setup Times Problem -- Optimizing Alternatives in Precedence Networks -- AI-Based Integrated Scheduling of Production and Transportation Operations within Military Supply Chains -- Turbo Codification Techniques for Error Control in a Communication Channel -- A New Graphical Recursive Pruning Method for the Incremental Pruning Algorithm -- A New Pruning Method for Incremental Pruning Algorithm Using a Sweeping Scan-Line through the Belief Space -- POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative Method -- Computer Vision and Image Processing -- Testing Image Segmentation for Topological SLAM with Omnidirectional Images -- Automatic Image Annotation Using Multiple Grid Segmentation -- Spatio-temporal Image Tracking Based on Optical Flow and Clustering: An Endoneurosonographic Application -- One Trilateral Filter Based on Surface Normal -- Beta-Measure for Probabilistic Segmentation -- Robust Spatial Regularization and Velocity Layer Separation for Optical Flow Computation on Transparent Sequences -- SAR Image Denoising Using the Non-Subsampled Contourlet Transform and Morphological Operators -- Logic and Distributed Systems -- Scheme-Based Synthesis of Inductive Theories -- A Possibilistic Intuitionistic Logic -- Jason Induction of Logical Decision Trees: A Learning Library and Its Application to Commitment -- Extending Soft Arc Consistency Algorithms to Non-invertible Semirings -- Frequency Transition Based Upon Dynamic Consensus for a Distributed System -- AI-Based Medical Application -- Towards Ubiquitous Acquisition and Processing of Gait Parameters -- Intelligent Wheelchair and Virtual Training by LabVIEW -- Environmental Pattern Recognition for Assessment of Air Quality Data with the Gamma Classifier -- Massive Particles for Brain Tractography -- Emotional Conversational Agents in Clinical Psychology and Psychiatry -- Knowledge-Based System for Diagnosis of Metabolic Alterations in Undergraduate Students. |
| Record Nr. | UNINA-9910484964503321 |
| New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Artificial Intelligence and Soft Computing [[electronic resource] ] : 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015, Proceedings, Part I / / edited by Grigori Sidorov, Sofía N. Galicia-Haro
| Advances in Artificial Intelligence and Soft Computing [[electronic resource] ] : 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015, Proceedings, Part I / / edited by Grigori Sidorov, Sofía N. Galicia-Haro |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXIX, 575 p. 224 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Health informatics Application software Information storage and retrieval Algorithms Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-27060-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Organization -- Contents - Part I -- Contents - Part II -- Invited Paper -- Signs-Based vs. Symbolic Models -- Abstract -- 1 Introduction -- 2 Sign -- 3 Relations Over a Set of Signs -- 3.1 Relations Over a Set of Signs Generated by Their Images -- 3.2 Relations Over the Set of Signs Generated by Their Significances -- 3.3 Relations Over a Set of Signs Generated by Their Meanings -- 4 Operations Over a Set of Signs -- 5 Applications to Cognitive Psychology and Synthesis of Behavior -- 5.1 Actor's Model of the World -- 5.2 The Problem of Goal Setting -- 6 Conclusion -- Acknowledgments -- References -- Natural Language Processing -- SynFinder: A System for Domain-Based Detection of Synonyms Using WordNet and the Web of Data -- 1 Introduction -- 2 Background and Related Works -- 3 Structure of the System -- 3.1 Parameters of SynFinder -- 4 Experimentation -- 4.1 Methodology -- 4.2 Results -- 5 Conclusions and Future Work -- References -- Ro-PAAS -- A Resource Linked to the UAIC-Ro-Dep-Treebank -- Abstract -- 1 Introduction -- 2 Extending the Sense of the Term ``Predicate'' -- 2.1 Categories of Words Which Can Be Logical Predicates -- 2.2 The Dependency Status of Function Words -- 3 Related Works -- 4 Description of Ro-PAAS -- 4.1 The Verb ``a putea'' (Can) -- 4.2 The Content of .xml Tags -- 5 A Tool for Searching Patterns in the UAIC-RoTb: GGS (Graphical Grammar Studio) -- 6 Conclusion and Future Works -- 6.1 Increasing the Size and the Quality of Romanian Resources -- 6.2 The Old Romanian Language -- Appendix: The 4-th Pattern of Verb ``a putea'' in RoPAAS -- References -- Word-Order Analysis Based Upon Treebank Data -- 1 Introduction -- 2 Setup of the Experiment -- 2.1 HamleDT and Available Treebanks -- 2.2 PML-TQ Tree Query -- 3 Analysis of Data -- 3.1 Czech -- 3.2 English -- 3.3 Farsi -- 3.4 Comparison of Results.
3.5 Application of Results -- 4 Conclusions -- References -- Low-Level Features for Paraphrase Identification -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data -- 4 Paraphrase Identification -- 4.1 Baselines -- 4.2 Extended Features -- 5 Evaluation -- 6 Conclusion and Future Work -- Acknowledgments -- References -- Multilingual Unsupervised Dependency Parsing with Unsupervised POS Tags -- 1 Introduction -- 2 Related Work -- 3 Unsupervised Dependency Parser -- 4 Data -- 5 Word Clustering -- 6 Experiments and Results -- 7 Conclusions -- 8 Future Work -- References -- Term Dependence Statistical Measures for Information Retrieval Tasks -- 1 Introduction -- 2 Dependence Analysis -- 2.1 Problem Statement -- 2.2 Independence Tests -- 2.3 Measures of Association or Correlation -- 3 Experimental Design and Results -- 3.1 Test Collection Description -- 3.2 Independence Test Design -- 3.3 Experimental Results Analysis -- 4 Conclusions -- References -- The Role of n-grams in Firstborns Identification -- 1 Introduction -- 2 Related Work -- 3 Data Set -- 4 Followed Methodology -- 4.1 Experimental Setup -- 4.2 Lexical Features -- 4.3 Syntactic Features -- 5 Analysis and Discussion -- 6 Conclusions -- References -- Recognition of Paralinguistic Information in Spoken Dialogue Systems for Elderly People -- 1 Introduction -- 2 Related Work -- 3 Data Used for Experimentation -- 4 Data Analysis -- 4.1 Segmentation of Interaction Recordings -- 4.2 Phenomena Selection -- 4.3 Speech Characterization -- 5 Automatic Phenomena Recognition -- 6 Differences Between Young and Older Speakers -- 7 Conclusions -- References -- Practical Measurements for Quality of Ontology Matching Applying to the OAEI Dataset -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Finding False-Positive Correspondences -- 4 Experimental Results -- 5 Conclusion -- Appendix -- References. Automatic Phoneme Border Detection to Improve Speech Recognition -- Abstract -- 1 Introduction -- 2 Application Block Diagram -- 3 Automatic Phoneme Border Detection -- 4 Experiments and Results -- 5 Conclusion -- Acknowledgments -- References -- Logic and Multi-agent Systems -- Description Logic Programs: A Paraconsistent Relational Model Approach -- 1 Introduction -- 2 Paraconsistent Relation Model and Its Operators -- 3 Descripiton Logic Programs -- 3.1 Definite Logic Programs (P) -- 3.2 Description Logic (L) -- 3.3 Description Logic Programs (KB) -- 4 Dl-relations -- 5 Fixed-Point Semantics for Dl-programs -- 6 Conclusion -- References -- A Branch & -- Bound Algorithm to Derive a Direct Construction for Binary Covering Arrays -- 1 Introduction -- 2 Related Work -- 3 Proposed Solution -- 3.1 Generation of Covering Arrays Using Binomial Coefficients -- 3.2 A Branch and Bound Algorithm -- 3.3 The Explicit Formula -- 4 Computational Results -- 5 Conclusions -- References -- On the Model Checking of the Graded -calculus on Trees -- 1 Introduction -- 1.1 Motivations and Related Works -- 1.2 Contributions and Outline -- 2 Graded -calculus for Trees -- 3 Model Checking -- 3.1 Preliminaries -- 3.2 The Algorithm -- 4 Conclusions -- References -- Lifelong Learning Selection Hyper-heuristics for Constraint Satisfaction Problems -- 1 Introduction -- 2 Related Work -- 3 Problem Characterization and Ordering Heuristics -- 3.1 Problem State Characterization -- 3.2 Ordering Heuristics -- 4 A Lifelong Learning Selection Hyper-heuristic Model for CSPs -- 4.1 Benchmark Instances -- 5 Experiments -- 5.1 Producing Hyper-heuristics for Specific Classes of Instances -- 5.2 Producing a Hyper-heuristic for Multiple Classes of Instances -- 5.3 Discussion -- 6 Conclusion -- References -- A Parametric Polynomial Deterministic Algorithm for #2SAT -- 1 Introduction. 2 Preliminaries -- 2.1 The Constraint Graph of a 2-CF -- 3 Computing #2SAT According to the Topology of the Constrained Graph -- 3.1 #2SAT for 2-CF Representing a Path -- 3.2 #2SAT for 2-CF Whose Graph Contains Parallel Edges -- 3.3 Processing Acyclic Graphs -- 4 Formulas with Constraint Cyclic Graph -- 4.1 Example -- 5 Conclusion -- References -- A Performative-Based Information Capacity Calculation Metric for MultiAgent Interaction Protocols -- Abstract -- 1 Introduction -- 2 Discrete Noiseless Channel Modeling of MAS Communication and the Metric -- 3 Application of the Metric to Agent Communication Protocols -- 3.1 FIPA Contract Net Protocol -- 3.2 FIPA Iterated Contract Net Protocol -- 4 Results and Discussions -- 5 Conclusions -- References -- Bioinspired Algorithms -- Bio-Inspired Optimization Algorithm Based on the Self-defense Mechanism in Plants -- Abstract -- 1 Introduction -- 2 Self-defense Mechanisms of the Plants -- 3 Predator-Prey Model -- 3.1 Analysis of the Lotka and Volterra Model -- 4 Proposed Optimization Algorithm Based on the Self-defense Mechanisms of Plants -- 5 Results -- 5.1 Statistical Comparison -- 6 Conclusions -- References -- On the Use of Ant Colony Optimization for Video Games -- 1 Introduction -- 2 Ant Colony Optimization -- 2.1 Mathematical Model of ACO -- 3 Algorithm Development for the Video Game -- 4 Video Game Implementation -- 5 Results -- 6 Conclusions -- References -- A System for Political Districting in the State of Mexico -- 1 Introduction -- 2 Problem Description -- 2.1 Population Equality -- 2.2 Compactness -- 2.3 Indigenous Districts -- 2.4 Geographical Features -- 2.5 Objective Function -- 3 Heuristic Algorithms -- 3.1 Simulated Annealing -- 3.2 Simulated Annealing Adaptation -- 3.3 Artificial Bee Colony -- 3.4 Artificial Bee Colony Adaptation -- 4 IEEM's Districting System. 4.1 Geographic Visualization System -- 4.2 Simulated Annealing Module -- 4.3 Artificial Bee Colony Module -- 5 Experimental Results and Discussion -- 6 Conclusions -- References -- Particle Swarm Optimization Algorithm for Dynamic Environments -- Abstract -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 3.1 Moving Peaks Benchmark Problem -- 3.2 Varying Shift Severity -- 3.3 Varying Number of Peaks -- 3.4 Varying Number of Dimensions -- 4 Conclusions -- References -- A Migrating Birds Optimization Algorithm for Machine-Part Cell Formation Problems -- 1 Introduction -- 2 Related Work -- 3 Problem Description -- 4 Migrating Birds Optimization -- 4.1 Natural Migration of Birds -- 4.2 Migrating Birds Optimization Method -- 5 Computational Experiments -- 6 Conclusions -- References -- Solving Manufacturing Cell Design Problems Using an Artificial Fish Swarm Algorithm -- 1 Introduction -- 2 Related Work -- 3 Manufacturing Cell Design Problem -- 4 Artificial Fish Swarm Algorithm -- 4.1 Proposed Algorithm -- 5 Experimental Result -- 6 Conclusion and Future Work -- References -- Neural Networks -- A Simple Bio-Inspired Model for Synaptogenesis in Artificial Neural Networks -- 1 Introduction -- 2 Random Neuritic Propagation -- 3 Reaction-Difussion Mechanism in Neural Networks -- 3.1 Reaction-Difussion Models Applied to Morphogenesis -- 3.2 The Gierer-Meinhardt Model of Reaction-Difussion -- 3.3 The Gierer-Meinhardt Model Implementation -- 3.4 Neuritic Branching Conditioned by Markers Concentration -- 4 Implementation and Results -- 4.1 Efferences Propagation Rules -- 4.2 Synaptogenesis -- 5 Results -- 6 Conclusions -- References -- Control by Imitation Using a Maximum Sensibility Neural Network -- 1 Introduction -- 2 Maximum Sensibility Neural Network -- 2.1 Running of MSNN -- 2.2 Training of the MSNN -- 3 Experiments -- 3.1 Plant Description. 3.2 Control Structure. |
| Record Nr. | UNISA-996466232003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Artificial Intelligence and Soft Computing : 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015, Proceedings, Part I / / edited by Grigori Sidorov, Sofía N. Galicia-Haro
| Advances in Artificial Intelligence and Soft Computing : 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015, Proceedings, Part I / / edited by Grigori Sidorov, Sofía N. Galicia-Haro |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXIX, 575 p. 224 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Medical informatics Application software Information storage and retrieval Algorithms Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-27060-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Organization -- Contents - Part I -- Contents - Part II -- Invited Paper -- Signs-Based vs. Symbolic Models -- Abstract -- 1 Introduction -- 2 Sign -- 3 Relations Over a Set of Signs -- 3.1 Relations Over a Set of Signs Generated by Their Images -- 3.2 Relations Over the Set of Signs Generated by Their Significances -- 3.3 Relations Over a Set of Signs Generated by Their Meanings -- 4 Operations Over a Set of Signs -- 5 Applications to Cognitive Psychology and Synthesis of Behavior -- 5.1 Actor's Model of the World -- 5.2 The Problem of Goal Setting -- 6 Conclusion -- Acknowledgments -- References -- Natural Language Processing -- SynFinder: A System for Domain-Based Detection of Synonyms Using WordNet and the Web of Data -- 1 Introduction -- 2 Background and Related Works -- 3 Structure of the System -- 3.1 Parameters of SynFinder -- 4 Experimentation -- 4.1 Methodology -- 4.2 Results -- 5 Conclusions and Future Work -- References -- Ro-PAAS -- A Resource Linked to the UAIC-Ro-Dep-Treebank -- Abstract -- 1 Introduction -- 2 Extending the Sense of the Term ``Predicate'' -- 2.1 Categories of Words Which Can Be Logical Predicates -- 2.2 The Dependency Status of Function Words -- 3 Related Works -- 4 Description of Ro-PAAS -- 4.1 The Verb ``a putea'' (Can) -- 4.2 The Content of .xml Tags -- 5 A Tool for Searching Patterns in the UAIC-RoTb: GGS (Graphical Grammar Studio) -- 6 Conclusion and Future Works -- 6.1 Increasing the Size and the Quality of Romanian Resources -- 6.2 The Old Romanian Language -- Appendix: The 4-th Pattern of Verb ``a putea'' in RoPAAS -- References -- Word-Order Analysis Based Upon Treebank Data -- 1 Introduction -- 2 Setup of the Experiment -- 2.1 HamleDT and Available Treebanks -- 2.2 PML-TQ Tree Query -- 3 Analysis of Data -- 3.1 Czech -- 3.2 English -- 3.3 Farsi -- 3.4 Comparison of Results.
3.5 Application of Results -- 4 Conclusions -- References -- Low-Level Features for Paraphrase Identification -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data -- 4 Paraphrase Identification -- 4.1 Baselines -- 4.2 Extended Features -- 5 Evaluation -- 6 Conclusion and Future Work -- Acknowledgments -- References -- Multilingual Unsupervised Dependency Parsing with Unsupervised POS Tags -- 1 Introduction -- 2 Related Work -- 3 Unsupervised Dependency Parser -- 4 Data -- 5 Word Clustering -- 6 Experiments and Results -- 7 Conclusions -- 8 Future Work -- References -- Term Dependence Statistical Measures for Information Retrieval Tasks -- 1 Introduction -- 2 Dependence Analysis -- 2.1 Problem Statement -- 2.2 Independence Tests -- 2.3 Measures of Association or Correlation -- 3 Experimental Design and Results -- 3.1 Test Collection Description -- 3.2 Independence Test Design -- 3.3 Experimental Results Analysis -- 4 Conclusions -- References -- The Role of n-grams in Firstborns Identification -- 1 Introduction -- 2 Related Work -- 3 Data Set -- 4 Followed Methodology -- 4.1 Experimental Setup -- 4.2 Lexical Features -- 4.3 Syntactic Features -- 5 Analysis and Discussion -- 6 Conclusions -- References -- Recognition of Paralinguistic Information in Spoken Dialogue Systems for Elderly People -- 1 Introduction -- 2 Related Work -- 3 Data Used for Experimentation -- 4 Data Analysis -- 4.1 Segmentation of Interaction Recordings -- 4.2 Phenomena Selection -- 4.3 Speech Characterization -- 5 Automatic Phenomena Recognition -- 6 Differences Between Young and Older Speakers -- 7 Conclusions -- References -- Practical Measurements for Quality of Ontology Matching Applying to the OAEI Dataset -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Finding False-Positive Correspondences -- 4 Experimental Results -- 5 Conclusion -- Appendix -- References. Automatic Phoneme Border Detection to Improve Speech Recognition -- Abstract -- 1 Introduction -- 2 Application Block Diagram -- 3 Automatic Phoneme Border Detection -- 4 Experiments and Results -- 5 Conclusion -- Acknowledgments -- References -- Logic and Multi-agent Systems -- Description Logic Programs: A Paraconsistent Relational Model Approach -- 1 Introduction -- 2 Paraconsistent Relation Model and Its Operators -- 3 Descripiton Logic Programs -- 3.1 Definite Logic Programs (P) -- 3.2 Description Logic (L) -- 3.3 Description Logic Programs (KB) -- 4 Dl-relations -- 5 Fixed-Point Semantics for Dl-programs -- 6 Conclusion -- References -- A Branch & -- Bound Algorithm to Derive a Direct Construction for Binary Covering Arrays -- 1 Introduction -- 2 Related Work -- 3 Proposed Solution -- 3.1 Generation of Covering Arrays Using Binomial Coefficients -- 3.2 A Branch and Bound Algorithm -- 3.3 The Explicit Formula -- 4 Computational Results -- 5 Conclusions -- References -- On the Model Checking of the Graded -calculus on Trees -- 1 Introduction -- 1.1 Motivations and Related Works -- 1.2 Contributions and Outline -- 2 Graded -calculus for Trees -- 3 Model Checking -- 3.1 Preliminaries -- 3.2 The Algorithm -- 4 Conclusions -- References -- Lifelong Learning Selection Hyper-heuristics for Constraint Satisfaction Problems -- 1 Introduction -- 2 Related Work -- 3 Problem Characterization and Ordering Heuristics -- 3.1 Problem State Characterization -- 3.2 Ordering Heuristics -- 4 A Lifelong Learning Selection Hyper-heuristic Model for CSPs -- 4.1 Benchmark Instances -- 5 Experiments -- 5.1 Producing Hyper-heuristics for Specific Classes of Instances -- 5.2 Producing a Hyper-heuristic for Multiple Classes of Instances -- 5.3 Discussion -- 6 Conclusion -- References -- A Parametric Polynomial Deterministic Algorithm for #2SAT -- 1 Introduction. 2 Preliminaries -- 2.1 The Constraint Graph of a 2-CF -- 3 Computing #2SAT According to the Topology of the Constrained Graph -- 3.1 #2SAT for 2-CF Representing a Path -- 3.2 #2SAT for 2-CF Whose Graph Contains Parallel Edges -- 3.3 Processing Acyclic Graphs -- 4 Formulas with Constraint Cyclic Graph -- 4.1 Example -- 5 Conclusion -- References -- A Performative-Based Information Capacity Calculation Metric for MultiAgent Interaction Protocols -- Abstract -- 1 Introduction -- 2 Discrete Noiseless Channel Modeling of MAS Communication and the Metric -- 3 Application of the Metric to Agent Communication Protocols -- 3.1 FIPA Contract Net Protocol -- 3.2 FIPA Iterated Contract Net Protocol -- 4 Results and Discussions -- 5 Conclusions -- References -- Bioinspired Algorithms -- Bio-Inspired Optimization Algorithm Based on the Self-defense Mechanism in Plants -- Abstract -- 1 Introduction -- 2 Self-defense Mechanisms of the Plants -- 3 Predator-Prey Model -- 3.1 Analysis of the Lotka and Volterra Model -- 4 Proposed Optimization Algorithm Based on the Self-defense Mechanisms of Plants -- 5 Results -- 5.1 Statistical Comparison -- 6 Conclusions -- References -- On the Use of Ant Colony Optimization for Video Games -- 1 Introduction -- 2 Ant Colony Optimization -- 2.1 Mathematical Model of ACO -- 3 Algorithm Development for the Video Game -- 4 Video Game Implementation -- 5 Results -- 6 Conclusions -- References -- A System for Political Districting in the State of Mexico -- 1 Introduction -- 2 Problem Description -- 2.1 Population Equality -- 2.2 Compactness -- 2.3 Indigenous Districts -- 2.4 Geographical Features -- 2.5 Objective Function -- 3 Heuristic Algorithms -- 3.1 Simulated Annealing -- 3.2 Simulated Annealing Adaptation -- 3.3 Artificial Bee Colony -- 3.4 Artificial Bee Colony Adaptation -- 4 IEEM's Districting System. 4.1 Geographic Visualization System -- 4.2 Simulated Annealing Module -- 4.3 Artificial Bee Colony Module -- 5 Experimental Results and Discussion -- 6 Conclusions -- References -- Particle Swarm Optimization Algorithm for Dynamic Environments -- Abstract -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 3.1 Moving Peaks Benchmark Problem -- 3.2 Varying Shift Severity -- 3.3 Varying Number of Peaks -- 3.4 Varying Number of Dimensions -- 4 Conclusions -- References -- A Migrating Birds Optimization Algorithm for Machine-Part Cell Formation Problems -- 1 Introduction -- 2 Related Work -- 3 Problem Description -- 4 Migrating Birds Optimization -- 4.1 Natural Migration of Birds -- 4.2 Migrating Birds Optimization Method -- 5 Computational Experiments -- 6 Conclusions -- References -- Solving Manufacturing Cell Design Problems Using an Artificial Fish Swarm Algorithm -- 1 Introduction -- 2 Related Work -- 3 Manufacturing Cell Design Problem -- 4 Artificial Fish Swarm Algorithm -- 4.1 Proposed Algorithm -- 5 Experimental Result -- 6 Conclusion and Future Work -- References -- Neural Networks -- A Simple Bio-Inspired Model for Synaptogenesis in Artificial Neural Networks -- 1 Introduction -- 2 Random Neuritic Propagation -- 3 Reaction-Difussion Mechanism in Neural Networks -- 3.1 Reaction-Difussion Models Applied to Morphogenesis -- 3.2 The Gierer-Meinhardt Model of Reaction-Difussion -- 3.3 The Gierer-Meinhardt Model Implementation -- 3.4 Neuritic Branching Conditioned by Markers Concentration -- 4 Implementation and Results -- 4.1 Efferences Propagation Rules -- 4.2 Synaptogenesis -- 5 Results -- 6 Conclusions -- References -- Control by Imitation Using a Maximum Sensibility Neural Network -- 1 Introduction -- 2 Maximum Sensibility Neural Network -- 2.1 Running of MSNN -- 2.2 Training of the MSNN -- 3 Experiments -- 3.1 Plant Description. 3.2 Control Structure. |
| Record Nr. | UNINA-9910484244203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov
| Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (433 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Artificial intelligence Optical data processing |
| ISBN | 3-030-89817-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Organization -- Contents - Part I -- Contents - Part II -- Machine and Deep Learning -- Identifying Optimal Clusters in Purchase Transaction Data -- 1 Introduction -- 2 Clustering Taxonomies -- 3 Cluster Validity Indices -- 4 Data Complexity Measures -- 5 Data Sets and Experimental Methodology -- 6 Results and Discussions -- 7 Conclusions -- A Appendix -- References -- Artificial Organic Networks Approach Applied to the Index Tracking Problem -- 1 Introduction -- 1.1 Objectives and Limitations -- 2 The Proposed Approach -- 2.1 AON Properties -- 2.2 Artificial Hydrocarbon Networks Algorithm -- 3 Implementation Considerations -- 3.1 System Identification -- 3.2 Target Function Mathematical Formulation -- 3.3 Financial Analysis and Strategy -- 4 Preliminary Results -- 4.1 Experiment 1: Establishing a Regression -- 4.2 Experiment 2: Comparing MNLR Performance Vs. Other ML Techniques. -- 4.3 Experiment Three: Buy-and-Hold Strategy -- 4.4 Experiment 4: A Hybrid K-Means with AHN Algorithm -- 5 Conclusions and Future Work -- References -- Supervised Learning Approach for Section Title Detection in PDF Scientific Articles -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Creation -- 3.2 Classifiers Training and Testing -- 4 Results -- 5 Conclusion -- References -- Real-Time Mexican Sign Language Interpretation Using CNN and HMM -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Techniques -- 2.3 Works About MSL in Mexico -- 3 Proposal -- 4 Dataset -- 4.1 Description -- 4.2 Participants -- 4.3 Data Acquisition -- 4.4 Dataset Standardization -- 5 Experiments and Results -- 5.1 Training -- 5.2 Results Experiment 1: Focus on Isolated Words -- 5.3 Results Experiment 2: Focus on Sentences -- 6 Conclusions -- References -- RiskIPN: Pavement Risk Database for Segmentation with Deep Learning.
1 Introduction -- 2 Databases -- 2.1 Previous Datasets -- 2.2 RisksIPN -- 3 Segmentation Deep Model -- 4 Experiments and Results -- 4.1 Preprocessing -- 4.2 Training -- 5 Conclusion -- References -- A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Organization and Collection -- 3.2 Data Augmentation -- 3.3 Feature Representations -- 3.4 Development of CNNs -- 4 Results and Evaluation -- 5 Conclusion -- References -- Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data -- 1 Introduction -- 2 General Methodology -- 2.1 Real-World Datasets -- 2.2 Synthetic Datasets -- 3 Experimental Results -- 3.1 Real-World Dataset -- 3.2 Synthetic-Datasets -- 4 Conclusions -- Appendix -- References -- Long-Term Exploration in Persistent MDPs -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Markov Decision Processes -- 3.2 Persistent MDPs -- 4 Exploration via State Space Clustering -- 4.1 Similarity Model -- 4.2 Graph of Clusters -- 5 The Prince of Persia Domain -- 6 Experiments -- 6.1 Experimental Setup -- 6.2 Exploring the Prince of Persia Environment -- 6.3 Ablation Study -- 7 Conclusion -- References -- Source Task Selection in Time Series via Performance Prediction -- 1 Introduction -- 2 Transfer Learning -- 3 Related Work -- 4 Performance Prediction for Source Task Selection -- 4.1 Feature Extraction -- 4.2 Regression Model -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Meta-learning Tasks -- 2.2 MiniImageNet Dataset -- 3 Proposed Model -- 3.1 Feature Reduction Techniques -- 3.2 Inter and Intra Class Nearest Neighbors Score (ICNN Score) -- 4 Experiments. 4.1 Implementation Details -- 4.2 Model Design Choices -- 4.3 Comparison with Baselines -- 5 Conclusion -- References -- Seasonality Atlas of Solar Radiation in Mexico -- 1 Introduction -- 1.1 Related Work -- 2 Mexico's Solar Radiation -- 3 Methodology -- 3.1 Designing the Atlas -- 3.2 Cluster Analysis -- 3.3 Algorithms -- 3.4 Validation of the Results -- 4 Results -- 4.1 1-Dimensional Cluster Analysis -- 4.2 2-Dimensional Cluster Analysis -- 5 Discussion -- 6 Conclusions -- References -- Best Paper Award, Third Place -- Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones -- 1 Introduction -- 2 State of the Art -- 2.1 Deep Learning Architectures -- 2.2 Traditional Computer Vision Methods -- 3 Proposed Approach -- 4 Data Set -- 4.1 Image Processing -- 5 Metrics and Loss Functions -- 5.1 Metrics -- 5.2 Loss Functions -- 6 Training -- 7 Testing -- 8 Results and Discussion -- 8.1 Selected Metrics -- 8.2 Best Loss Function -- 8.3 Traditional and Deep Learning Segmentation -- 8.4 Discussion -- 9 Conclusions -- References -- A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Machine Learning Workflow -- 5 Results and Discussion -- 6 Conclusions -- References -- DBSCAN Parameter Selection Based on K-NN -- 1 Introduction -- 2 Related Work -- 3 DBSCAN Parameter Selection Based on K-Distance -- 4 Experiments -- 4.1 Parameter Selection DBSCAN -- 4.2 ACND -- 4.3 Clustering -- 4.4 Border Definition -- 5 Conclusion -- References -- Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets -- 1 Introduction -- 2 Methods -- 2.1 Multi-Layer Perceptron (MLP) -- 2.2 Approach 2 (MLP + Weather Data) -- 2.3 Approach 3: CNN -- 2.4 Approach 4: Hybrid Model (CNN + MLP) -- 2.5 Approach 5: Sentinel CNN + MLP. 2.6 Approach 6: VAE + MLP -- 2.7 Approach 7: Recurrent Neural Network (LSTM) -- 3 Analysis and Conclusions -- References -- Causal Based Action Selection Policy for Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Assumptions and Limitations -- 3.2 Action Selection -- 4 Experimental Set Up -- 4.1 Environment -- 4.2 Implementation and Compared Approaches -- 4.3 Evaluation Metric and Exploration Rate Decay -- 5 Results -- 5.1 Modifying the Causal Graph -- 5.2 Exploit or Keep Exploring -- 5.3 Using Visual Observations of the Environment -- 6 Conclusions -- References -- Performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Preprocessing -- 3.3 Artificial Neural Networks -- 3.4 Experimental Settings -- 4 Results and Discussion -- 5 Conclusion and Future Directions -- References -- Machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram -- 1 Introduction -- 2 Background -- 2.1 CNN -- 2.2 LSTM -- 2.3 GRU -- 2.4 Bidirectional RNN -- 2.5 DT -- 2.6 Random Forest -- 2.7 MLP -- 2.8 Gaussian Naïve Bayes -- 2.9 SVM -- 2.10 LDA and Logistic Regression -- 2.11 AdaBoost -- 2.12 KNN -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Image Processing and Pattern Recognition -- Touchless Fingerphoto Extraction Based on Deep Learning and Image Processing Algorithms -- A Preview -- 1 Introduction -- 2 Related Work -- 2.1 Image Acquisition -- 2.2 Background Removal -- 2.3 Fingerprint Enhancement -- 3 Methods and Materials -- 3.1 Fingerphoto Acquisition -- 3.2 Background Removal -- 3.3 Fingerphoto Segmentation and Enhancement -- 3.4 Equivalent Touch-Based Image -- 3.5 NIST Fingerprint Image Quality. 4 Experiments and Results -- 4.1 Fingerphoto Dataset -- 4.2 U-Net for Background Removal -- 4.3 Fingerphoto Extraction -- 5 Conclusions and Feature Work -- References -- Real Time Distraction Detection by Facial Attributes Recognition -- 1 Introduction -- 1.1 Previous Work -- 2 Method and Data -- 2.1 Image Acquisition -- 2.2 Face Detection -- 2.3 Facial Attributes Recognition -- 2.4 Classification -- 3 Results -- 3.1 Classic Evaluation -- 3.2 5-Fold Cross Validation Evaluation -- 3.3 Real Time Environment Evaluation -- 4 Discussion -- 4.1 Future Work -- 5 Conclusions -- References -- Urban Perception: Can We Understand Why a Street Is Safe? -- 1 Introduction -- 2 Related Works -- 2.1 Urban Perception -- 2.2 Model Interpretation -- 3 Methodology -- 3.1 Datasets and Data Pre-processing -- 3.2 Visual Components Extraction -- 4 Experiments and Discussions -- 5 Conclusions -- References -- Continual Learning for Multi-camera Relocalisation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Generation -- 3.2 Continual Learning -- 4 Experiments and Results -- 5 Conclusion -- References -- Facing a Pandemic: A COVID-19 Time Series Analysis of Vaccine Impact -- 1 Introduction -- 2 Related Work -- 2.1 COVID-19 World Vaccination Progress with Tableau -- 2.2 COVID-19: Can We Predict the Future? -- 2.3 COVID-19 EDA: Man Vs. Disease -- 2.4 Remarks -- 3 Methodology -- 3.1 Data Understanding -- 3.2 Data Preparation -- 3.3 Modeling -- 4 Results -- 4.1 Model Evaluation -- 4.2 Deployment -- 5 Conclusion -- References -- COVID-19 on the Time, Countries Deaths Monitoring and Comparison Dealing with the Pandemic -- 1 Introduction -- 2 Focus on Deaths Instead of Reported Infections -- 3 Methods -- 3.1 Moving Average -- 3.2 Plateau -- 3.3 Maximum Value -- 3.4 Economics Information Per Country -- 4 Results -- 5 Conclusions and Future Work -- 6 Related Work. References. |
| Record Nr. | UNISA-996464395303316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov
| Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (433 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Artificial intelligence Optical data processing |
| ISBN | 3-030-89817-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Organization -- Contents - Part I -- Contents - Part II -- Machine and Deep Learning -- Identifying Optimal Clusters in Purchase Transaction Data -- 1 Introduction -- 2 Clustering Taxonomies -- 3 Cluster Validity Indices -- 4 Data Complexity Measures -- 5 Data Sets and Experimental Methodology -- 6 Results and Discussions -- 7 Conclusions -- A Appendix -- References -- Artificial Organic Networks Approach Applied to the Index Tracking Problem -- 1 Introduction -- 1.1 Objectives and Limitations -- 2 The Proposed Approach -- 2.1 AON Properties -- 2.2 Artificial Hydrocarbon Networks Algorithm -- 3 Implementation Considerations -- 3.1 System Identification -- 3.2 Target Function Mathematical Formulation -- 3.3 Financial Analysis and Strategy -- 4 Preliminary Results -- 4.1 Experiment 1: Establishing a Regression -- 4.2 Experiment 2: Comparing MNLR Performance Vs. Other ML Techniques. -- 4.3 Experiment Three: Buy-and-Hold Strategy -- 4.4 Experiment 4: A Hybrid K-Means with AHN Algorithm -- 5 Conclusions and Future Work -- References -- Supervised Learning Approach for Section Title Detection in PDF Scientific Articles -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Creation -- 3.2 Classifiers Training and Testing -- 4 Results -- 5 Conclusion -- References -- Real-Time Mexican Sign Language Interpretation Using CNN and HMM -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Techniques -- 2.3 Works About MSL in Mexico -- 3 Proposal -- 4 Dataset -- 4.1 Description -- 4.2 Participants -- 4.3 Data Acquisition -- 4.4 Dataset Standardization -- 5 Experiments and Results -- 5.1 Training -- 5.2 Results Experiment 1: Focus on Isolated Words -- 5.3 Results Experiment 2: Focus on Sentences -- 6 Conclusions -- References -- RiskIPN: Pavement Risk Database for Segmentation with Deep Learning.
1 Introduction -- 2 Databases -- 2.1 Previous Datasets -- 2.2 RisksIPN -- 3 Segmentation Deep Model -- 4 Experiments and Results -- 4.1 Preprocessing -- 4.2 Training -- 5 Conclusion -- References -- A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Organization and Collection -- 3.2 Data Augmentation -- 3.3 Feature Representations -- 3.4 Development of CNNs -- 4 Results and Evaluation -- 5 Conclusion -- References -- Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data -- 1 Introduction -- 2 General Methodology -- 2.1 Real-World Datasets -- 2.2 Synthetic Datasets -- 3 Experimental Results -- 3.1 Real-World Dataset -- 3.2 Synthetic-Datasets -- 4 Conclusions -- Appendix -- References -- Long-Term Exploration in Persistent MDPs -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Markov Decision Processes -- 3.2 Persistent MDPs -- 4 Exploration via State Space Clustering -- 4.1 Similarity Model -- 4.2 Graph of Clusters -- 5 The Prince of Persia Domain -- 6 Experiments -- 6.1 Experimental Setup -- 6.2 Exploring the Prince of Persia Environment -- 6.3 Ablation Study -- 7 Conclusion -- References -- Source Task Selection in Time Series via Performance Prediction -- 1 Introduction -- 2 Transfer Learning -- 3 Related Work -- 4 Performance Prediction for Source Task Selection -- 4.1 Feature Extraction -- 4.2 Regression Model -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Meta-learning Tasks -- 2.2 MiniImageNet Dataset -- 3 Proposed Model -- 3.1 Feature Reduction Techniques -- 3.2 Inter and Intra Class Nearest Neighbors Score (ICNN Score) -- 4 Experiments. 4.1 Implementation Details -- 4.2 Model Design Choices -- 4.3 Comparison with Baselines -- 5 Conclusion -- References -- Seasonality Atlas of Solar Radiation in Mexico -- 1 Introduction -- 1.1 Related Work -- 2 Mexico's Solar Radiation -- 3 Methodology -- 3.1 Designing the Atlas -- 3.2 Cluster Analysis -- 3.3 Algorithms -- 3.4 Validation of the Results -- 4 Results -- 4.1 1-Dimensional Cluster Analysis -- 4.2 2-Dimensional Cluster Analysis -- 5 Discussion -- 6 Conclusions -- References -- Best Paper Award, Third Place -- Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones -- 1 Introduction -- 2 State of the Art -- 2.1 Deep Learning Architectures -- 2.2 Traditional Computer Vision Methods -- 3 Proposed Approach -- 4 Data Set -- 4.1 Image Processing -- 5 Metrics and Loss Functions -- 5.1 Metrics -- 5.2 Loss Functions -- 6 Training -- 7 Testing -- 8 Results and Discussion -- 8.1 Selected Metrics -- 8.2 Best Loss Function -- 8.3 Traditional and Deep Learning Segmentation -- 8.4 Discussion -- 9 Conclusions -- References -- A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Machine Learning Workflow -- 5 Results and Discussion -- 6 Conclusions -- References -- DBSCAN Parameter Selection Based on K-NN -- 1 Introduction -- 2 Related Work -- 3 DBSCAN Parameter Selection Based on K-Distance -- 4 Experiments -- 4.1 Parameter Selection DBSCAN -- 4.2 ACND -- 4.3 Clustering -- 4.4 Border Definition -- 5 Conclusion -- References -- Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets -- 1 Introduction -- 2 Methods -- 2.1 Multi-Layer Perceptron (MLP) -- 2.2 Approach 2 (MLP + Weather Data) -- 2.3 Approach 3: CNN -- 2.4 Approach 4: Hybrid Model (CNN + MLP) -- 2.5 Approach 5: Sentinel CNN + MLP. 2.6 Approach 6: VAE + MLP -- 2.7 Approach 7: Recurrent Neural Network (LSTM) -- 3 Analysis and Conclusions -- References -- Causal Based Action Selection Policy for Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Assumptions and Limitations -- 3.2 Action Selection -- 4 Experimental Set Up -- 4.1 Environment -- 4.2 Implementation and Compared Approaches -- 4.3 Evaluation Metric and Exploration Rate Decay -- 5 Results -- 5.1 Modifying the Causal Graph -- 5.2 Exploit or Keep Exploring -- 5.3 Using Visual Observations of the Environment -- 6 Conclusions -- References -- Performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Preprocessing -- 3.3 Artificial Neural Networks -- 3.4 Experimental Settings -- 4 Results and Discussion -- 5 Conclusion and Future Directions -- References -- Machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram -- 1 Introduction -- 2 Background -- 2.1 CNN -- 2.2 LSTM -- 2.3 GRU -- 2.4 Bidirectional RNN -- 2.5 DT -- 2.6 Random Forest -- 2.7 MLP -- 2.8 Gaussian Naïve Bayes -- 2.9 SVM -- 2.10 LDA and Logistic Regression -- 2.11 AdaBoost -- 2.12 KNN -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Image Processing and Pattern Recognition -- Touchless Fingerphoto Extraction Based on Deep Learning and Image Processing Algorithms -- A Preview -- 1 Introduction -- 2 Related Work -- 2.1 Image Acquisition -- 2.2 Background Removal -- 2.3 Fingerprint Enhancement -- 3 Methods and Materials -- 3.1 Fingerphoto Acquisition -- 3.2 Background Removal -- 3.3 Fingerphoto Segmentation and Enhancement -- 3.4 Equivalent Touch-Based Image -- 3.5 NIST Fingerprint Image Quality. 4 Experiments and Results -- 4.1 Fingerphoto Dataset -- 4.2 U-Net for Background Removal -- 4.3 Fingerphoto Extraction -- 5 Conclusions and Feature Work -- References -- Real Time Distraction Detection by Facial Attributes Recognition -- 1 Introduction -- 1.1 Previous Work -- 2 Method and Data -- 2.1 Image Acquisition -- 2.2 Face Detection -- 2.3 Facial Attributes Recognition -- 2.4 Classification -- 3 Results -- 3.1 Classic Evaluation -- 3.2 5-Fold Cross Validation Evaluation -- 3.3 Real Time Environment Evaluation -- 4 Discussion -- 4.1 Future Work -- 5 Conclusions -- References -- Urban Perception: Can We Understand Why a Street Is Safe? -- 1 Introduction -- 2 Related Works -- 2.1 Urban Perception -- 2.2 Model Interpretation -- 3 Methodology -- 3.1 Datasets and Data Pre-processing -- 3.2 Visual Components Extraction -- 4 Experiments and Discussions -- 5 Conclusions -- References -- Continual Learning for Multi-camera Relocalisation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Generation -- 3.2 Continual Learning -- 4 Experiments and Results -- 5 Conclusion -- References -- Facing a Pandemic: A COVID-19 Time Series Analysis of Vaccine Impact -- 1 Introduction -- 2 Related Work -- 2.1 COVID-19 World Vaccination Progress with Tableau -- 2.2 COVID-19: Can We Predict the Future? -- 2.3 COVID-19 EDA: Man Vs. Disease -- 2.4 Remarks -- 3 Methodology -- 3.1 Data Understanding -- 3.2 Data Preparation -- 3.3 Modeling -- 4 Results -- 4.1 Model Evaluation -- 4.2 Deployment -- 5 Conclusion -- References -- COVID-19 on the Time, Countries Deaths Monitoring and Comparison Dealing with the Pandemic -- 1 Introduction -- 2 Focus on Deaths Instead of Reported Infections -- 3 Methods -- 3.1 Moving Average -- 3.2 Plateau -- 3.3 Maximum Value -- 3.4 Economics Information Per Country -- 4 Results -- 5 Conclusions and Future Work -- 6 Related Work. References. |
| Record Nr. | UNINA-9910506398403321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Computational Intelligence [[electronic resource] ] : 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23–28, 2016, Proceedings, Part I / / edited by Grigori Sidorov, Oscar Herrera-Alcántara
| Advances in Computational Intelligence [[electronic resource] ] : 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23–28, 2016, Proceedings, Part I / / edited by Grigori Sidorov, Oscar Herrera-Alcántara |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXVII, 552 p. 184 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Optical data processing Computer organization Algorithms Artificial Intelligence Information Systems Applications (incl. Internet) Image Processing and Computer Vision Computer Systems Organization and Communication Networks Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-62434-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Natural Language Processing -- The relevance of the Named Entities in Authorship Attribution -- A compact representation for cross-domain short text clustering -- Characteristics of Most Frequent Spanish Verb-Noun Combinations -- Sentence Paraphrase Graphs: Classification Based on Predictive Models or Annotators Decisions -- Mathematical model of an ontological-semantic analyzer using basic ontological-semantic patterns -- CookingQA: A Question Answering System based on Cooking Ontology -- LEXIK. An Integrated System for Specialized Terminology -- Linguistic Restrictions in Automatic Translation from Written Spanish to MSL -- Intra-Document and Inter-Document Redundancy on Multi-Document Summarization -- Framework for searching judicial precedents based on Automatic summarization -- Discriminatory capacity of the most representative phonemes in Spanish: an evaluation for forensic speech recognition -- A Speech-Based Web Co-Authoring Platform for the Blind -- Social Networks and Opinion Mining -- Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets -- Additive Regularization for Topic Modeling in Sociological Studies of User-Generated Texts -- Effect of the inclusion of non-newsworthy messages in credibility assessment -- On the impact of neighborhood selection strategies for recommender systems in LBSNs -- Fuzzy Logic -- For Multi-Interval-Valued Fuzzy Sets, Centroid Defuzzification Is Equivalent to Defuzzifying Its Interval Hull: A Theorem -- Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition -- A study of parameter dynamic adaptation with fuzzy logic for the grey wolf optimizer algorithm -- Interval Type-2 fuzzy logic for parameter adaptation in the gravitational search algorithm -- Water cycle algorithm with fuzzy logic for dynamic adaptation of parameters -- Off-line tuning of a PID controller using Type-2 Fuzzy Logic -- Detection of faults in induction motors using texture-based features and fuzzy inference -- Time Series Analysis and Forecasting -- Trend Detection in Gold Worth using Regression -- Queries to Internet as a Tool for Analysis of Regional Police Work and Forecast of Crimes in Regions -- Creating Collections of Descriptors of Events and Processes Based on Internet Queries -- Planning and Scheduling -- Using a Grammar Checker to Validate Compliance of Processes with Workflow Models -- On Verification of Workflow and Planning Domain Models using Attribute Grammars -- Tramp Ship Scheduling Problem with Berth Allocation Considerations and Time-dependent Constraints -- Hierarchical Task Model for Resource Failure Recovery in Production Scheduling -- A multi-objective hospital operating room planning and scheduling problem using compromise programming -- Solving Manufacturing Cell Design Problems using the Black Hole Algorithm -- Image Processing and Computer Vision -- Efficient Computation of the Euler Number of a 2-D Binary of Image -- Image filter based on block matching and principal component analysis -- Support to the diagnosis of the Pap test, using computer algorithms of digital image processing -- Implementation of Computer Vision Guided Peg-Hole Insertion Task Performed by Robot through LabVIEW -- Object Tracking Based on Modified TLD Framework Using Compressive Sensing Features -- Parameter characterization of complex wavelets and its use in 3D reconstruction -- Customer Analysis via Video Analytics: Customer Detection with Multiple Cues -- Methodology for Automatic Collection of Vehicle Traffic Data by Object Tracking -- Robotics -- GPS-based curve estimation for an adaptive pure pursuit algorithm -- Collective motion of a swarm of simulated quadrotors using repulsion, attraction and orientation rules -- Design and simulation of a new lower exoskeleton for rehabilitation of patients with paraplegia -- Sensorial system for obtaining the angles of the human movement in the coronal and sagittal anatomical planes. |
| Record Nr. | UNISA-996466191003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computational Intelligence : 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23–28, 2016, Proceedings, Part I / / edited by Grigori Sidorov, Oscar Herrera-Alcántara
| Advances in Computational Intelligence : 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23–28, 2016, Proceedings, Part I / / edited by Grigori Sidorov, Oscar Herrera-Alcántara |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXVII, 552 p. 184 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Optical data processing Computer organization Algorithms Artificial Intelligence Information Systems Applications (incl. Internet) Image Processing and Computer Vision Computer Systems Organization and Communication Networks Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-62434-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Natural Language Processing -- The relevance of the Named Entities in Authorship Attribution -- A compact representation for cross-domain short text clustering -- Characteristics of Most Frequent Spanish Verb-Noun Combinations -- Sentence Paraphrase Graphs: Classification Based on Predictive Models or Annotators Decisions -- Mathematical model of an ontological-semantic analyzer using basic ontological-semantic patterns -- CookingQA: A Question Answering System based on Cooking Ontology -- LEXIK. An Integrated System for Specialized Terminology -- Linguistic Restrictions in Automatic Translation from Written Spanish to MSL -- Intra-Document and Inter-Document Redundancy on Multi-Document Summarization -- Framework for searching judicial precedents based on Automatic summarization -- Discriminatory capacity of the most representative phonemes in Spanish: an evaluation for forensic speech recognition -- A Speech-Based Web Co-Authoring Platform for the Blind -- Social Networks and Opinion Mining -- Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets -- Additive Regularization for Topic Modeling in Sociological Studies of User-Generated Texts -- Effect of the inclusion of non-newsworthy messages in credibility assessment -- On the impact of neighborhood selection strategies for recommender systems in LBSNs -- Fuzzy Logic -- For Multi-Interval-Valued Fuzzy Sets, Centroid Defuzzification Is Equivalent to Defuzzifying Its Interval Hull: A Theorem -- Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition -- A study of parameter dynamic adaptation with fuzzy logic for the grey wolf optimizer algorithm -- Interval Type-2 fuzzy logic for parameter adaptation in the gravitational search algorithm -- Water cycle algorithm with fuzzy logic for dynamic adaptation of parameters -- Off-line tuning of a PID controller using Type-2 Fuzzy Logic -- Detection of faults in induction motors using texture-based features and fuzzy inference -- Time Series Analysis and Forecasting -- Trend Detection in Gold Worth using Regression -- Queries to Internet as a Tool for Analysis of Regional Police Work and Forecast of Crimes in Regions -- Creating Collections of Descriptors of Events and Processes Based on Internet Queries -- Planning and Scheduling -- Using a Grammar Checker to Validate Compliance of Processes with Workflow Models -- On Verification of Workflow and Planning Domain Models using Attribute Grammars -- Tramp Ship Scheduling Problem with Berth Allocation Considerations and Time-dependent Constraints -- Hierarchical Task Model for Resource Failure Recovery in Production Scheduling -- A multi-objective hospital operating room planning and scheduling problem using compromise programming -- Solving Manufacturing Cell Design Problems using the Black Hole Algorithm -- Image Processing and Computer Vision -- Efficient Computation of the Euler Number of a 2-D Binary of Image -- Image filter based on block matching and principal component analysis -- Support to the diagnosis of the Pap test, using computer algorithms of digital image processing -- Implementation of Computer Vision Guided Peg-Hole Insertion Task Performed by Robot through LabVIEW -- Object Tracking Based on Modified TLD Framework Using Compressive Sensing Features -- Parameter characterization of complex wavelets and its use in 3D reconstruction -- Customer Analysis via Video Analytics: Customer Detection with Multiple Cues -- Methodology for Automatic Collection of Vehicle Traffic Data by Object Tracking -- Robotics -- GPS-based curve estimation for an adaptive pure pursuit algorithm -- Collective motion of a swarm of simulated quadrotors using repulsion, attraction and orientation rules -- Design and simulation of a new lower exoskeleton for rehabilitation of patients with paraplegia -- Sensorial system for obtaining the angles of the human movement in the coronal and sagittal anatomical planes. |
| Record Nr. | UNINA-9910483128503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in soft computing : 20th Mexican international conference on artificial intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, proceedings, part II / / Ildar Batyrshin, Alexander Gelbukh and Grigori Sidorov
| Advances in soft computing : 20th Mexican international conference on artificial intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, proceedings, part II / / Ildar Batyrshin, Alexander Gelbukh and Grigori Sidorov |
| Autore | Batyrshin I. Z (Ilʹdar Zakirzi͡anovich) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (380 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Soft computing
Artificial intelligence |
| ISBN | 3-030-89820-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Organization -- Contents - Part II -- Contents - Part I -- Natural Language Processing Supervised -- Supervised Machine Learning for Automatic Assessment of Free-Text Answers -- 1 Introduction -- 2 Related Work -- 3 Our Methodology -- 4 Experimental Results -- 4.1 RQ1 Coverage: How Many Answers Can Be Automatically Assessed? -- 4.2 RQ2 Accuracy: How Accurate Is the Suggested Assessment? -- 5 Conclusion and Future Work -- References -- Towards Multilingual Image Captioning Models that Can Read -- 1 Introduction -- 2 State of the Art -- 2.1 Summary of the State-of-the-Art -- 3 Data and Methods -- 3.1 TextCaps Dataset -- 3.2 Automatic Translation of TextCaps -- 3.3 M4C-Captioner -- 3.4 Multilingual M4C-Captioner -- 3.5 Experimental Setup -- 4 Results -- 5 Conclusions and Future Work -- 6 Declarations -- References -- Best Paper Award, Second Place -- Question Answering for Visual Navigation in Human-Centered Environments -- 1 Introduction -- 2 Related Works -- 3 HISNav VQA Dataset -- 3.1 Images -- 3.2 Human-Asked Questions -- 3.3 Synthetic Questions -- 3.4 Dataset Analysis -- 4 Vector Semiotic Architecture Baseline -- 5 Experiments -- 5.1 Neural Network Baseline -- 5.2 Vector Semiotic Architecture -- 6 Discussion -- 7 Conclusion -- A Appendix: Data Labeling -- B Appendix: Examples -- References -- Improving a Conversational Speech Recognition System Using Phonetic and Neural Transcript Correction -- 1 Introduction -- 2 Background -- 3 Approach and Implementation -- 4 NLU Preprocessing Module -- 4.1 Phonetic Correction -- 4.2 Neural Classification Module -- 5 Experiments -- 6 Results and Discussion -- 7 Conclusions and Future Work -- References -- Estimation of Imageability Ratings of English Words Using Neural Networks -- 1 Introduction -- 2 Data and Method -- 3 Result -- 4 Result Interpretation -- 5 Conclusion.
References -- Hypernyms-Based Topic Discovery Using LDA -- 1 Introduction -- 2 Preliminaries -- 2.1 Latent Dirichlet Allocation -- 2.2 Latent Semantic Analysis -- 2.3 Probabilistic Latent Semantic Analysis -- 2.4 WordNet -- 3 Related Work -- 4 The Proposed Method -- 4.1 Datasets -- 5 Results -- 5.1 Experimental Results -- 6 Conclusions -- References -- Virality Prediction for News Tweets Using RoBERTa -- 1 Introduction -- 2 Related Works -- 3 Our Method -- 3.1 Corpus -- 3.2 Tweet Influence Formula -- 3.3 Method Overview -- 3.4 Method Description -- 4 Results and Discussion -- 4.1 Results -- 4.2 Findings -- 5 Conclusion -- References -- Sentiment Analysis on Twitter About COVID-19 Vaccination in Mexico -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Extraction -- 3.2 Data Transformation and Export Resulting Dataset -- 3.3 Data Labeling -- 3.4 Text Processing and Feature Extraction -- 3.5 Machine Learning Models -- 3.6 Experiments -- 3.7 Machine Learning Model Selection -- 4 Results and Discussion -- 5 Conclusions -- References -- Text-Independent Speaker Identification Using Formants and Convolutional Neural Networks -- 1 Introduction -- 2 Previous Work -- 3 Proposal -- 3.1 Converting Speech Signals into Images Disregarding Time -- 3.2 Convolutional Neural Network (CNN) -- 4 Experiments -- 5 Conclusions and Future Work -- References -- Nahuatl Neural Machine Translation Using Attention Based Architectures: A Comparative Analysis for RNNs and Transformers as a Mobile Application Service -- 1 Introduction -- 2 State of the Art -- 2.1 How Big is Nahuatl? -- 2.2 NMT Related Works -- 2.3 NLP Nahuatl Related Works -- 2.4 Related Nahuatl and Translation Services -- 3 Models Description -- 3.1 Nahuatl -- 3.2 Bi-directional Recurrent Neural Network Plus Attention -- 3.3 Transformer -- 3.4 Bilingual Evaluation Understudy and FuzzyWuzzy. 3.5 Axolotl -- 3.6 JW -- 3.7 SentencePiece Tokenization -- 3.8 Main Technologies -- 4 Implementation and Experiments -- 4.1 RNN -- 4.2 Transformer -- 4.3 The Application -- 4.4 Model Evaluation and Comparative -- 4.5 Comparatives Among and with Another Models -- 4.6 Emerging Behaviors -- 5 Conclusions -- 5.1 Future Work -- References -- STClass: A Method for Determining the Sensitivity of Documents -- 1 Introduction -- 2 Related Work -- 3 STClass: Method for Determining the Sensitivity of Documents -- 4 Datasets and Experimental Methodology -- 5 Conclusion -- References -- Plagiarism Detection in Students' Answers Using FP-Growth Algorithm -- 1 Introduction -- 2 Related Works -- 3 Dataset and Features -- 4 Methodology -- 5 Experiment -- 6 Results -- 7 Conclusion -- 8 Future Work -- References -- Determining the Relationship Between the Letters in the Voynich Manuscript Splitting the Text into Parts -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Experiment -- 5 Result -- 6 Conclusion -- References -- Intelligent Applications and Robotics -- The Comparative Approach to Solving Temporal-Constrained Scheduling Problem Under Uncertainty -- 1 Introduction -- 2 Solving the Problem of Network Activity Planning in a Non-fuzzy Formulation -- 3 Solving the Problem of Network Planning in a Probabilistic Formulation -- 4 Solution of the Problem of Network Activity Planning in Fuzzy-Interval Formulation -- 5 Conclusion -- References -- A Tourist Recommendation System: A Study Case in Mexico -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Collaborative-Based Filtering -- 3.3 Demographic-Based Filtering -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Detecting Traces of Self-harm in Social Media: A Simple and Interpretable Approach -- 1 Introduction. 2 gSC: A One-Class Approach for Detecting Mental Disorders -- 2.1 Mass Assignment to Users -- 3 Experimental Settings -- 3.1 Dataset -- 3.2 Text Representations -- 3.3 Self-harm Vocabulary for Mass Calculation -- 3.4 Parameters' Tuning -- 4 Results -- 4.1 Error Analysis -- 5 Decision-Making Support Tool -- 6 Conclusions -- References -- Finite-Field Parallel Adder Circuit Over Prime Numbers Based on Spiking Neural P Systems -- 1 Introduction -- 2 An Introduction to the Finite-Field Addition Over GF(p) -- 3 Proposal of a Finite-Field Neural Adder Circuit -- 4 Experiment and Results -- 5 Conclusions and Future Work -- References -- A Rapid HMI Prototyping Based on Personality Traits and AI for Social Connected Thermostats -- 1 Introduction -- 2 Material and Methods -- 2.1 New Dataset Creation as a Result of the Survey -- 3 Methodology -- 3.1 Two-Layer Feed-Forward ANN Classification -- 3.2 Rapid Prototyping Using Arduino UNO and MATLAB/Simulink -- 4 Proposed Framework -- 4.1 Knowledge Base -- 4.2 Decision System -- 4.3 Evaluation -- 5 Results: Arduino Prototype -- 6 Discussion -- 7 Conclusion -- References -- Machine Learning Framework for Antalgic Gait Recognition Based on Human Activity -- 1 Introduction -- 1.1 Related Work -- 1.2 Problem Statement and Solution Proposal -- 1.3 Paper Organization -- 2 Antalgic Gait Recognition Framework -- 2.1 Data Acquisition -- 2.2 Preprocessing -- 2.3 Feature Extraction and Selection -- 2.4 Training Model -- 2.5 Classification -- 3 Results and Discussion -- 4 Conclusions -- References -- A New Approach for the Automatic Connection of Sensors to an IoT Platform -- 1 Introduction -- 2 Background and Related Work -- 2.1 Internet of Things -- 2.2 FIWARE Platform -- 2.3 Related Work -- 3 Overview of Our Approach Proposed -- 4 Our Approach for the Automatic Connection of Sensors to an IoT Platform. 4.1 Management Module -- 4.2 Code Generation Module for Communication with FIWARE -- 4.3 Code Generation Module for Capturing Data from Sensors -- 5 Software System for the Automatic Connection of Sensor to FIWARE IoT Platform -- 6 Conclusions and Future Work -- References -- A Hybrid Model for the Prediction of Air Pollutants Concentration, Based on Statistical and Machine Learning Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Data -- 2.2 AI/ML Methods -- 3 Results -- 3.1 PM10 -- 3.2 PM2.5 -- 3.3 O3 -- 4 Summary and Conclusions -- References -- Mexican Automotive Industry Sales Behavior During the COVID-19 Pandemic -- 1 Introduction -- 2 Related Work -- 3 Description of the Proposal -- 3.1 Exploration of Variables and Data Sources -- 3.2 Model Analysis and Selection -- 3.3 Experimentation -- 4 Results and Discussion -- 5 Conclusions -- References -- Modeling Self-efficacy and Self-regulated Learning in Gamified Learning Environments Through Educational Data Mining -- 1 Introduction -- 2 Data Mining in Education -- 3 ITS and Gamification -- 4 Data-Driven Construction of a Gamified ITS -- 5 Conclusions and Future Work -- References -- Parallelization of the Array Method Using OpenMP -- 1 Introduction -- 1.1 Contributions of the Paper -- 2 Basic Definitions -- 3 Related Works -- 3.1 Parallel Application Design -- 4 Array Method Parallelization Using OpenMP -- 4.1 Arrays of the Array Method -- 5 Results -- 5.1 Experiments to Evaluate the Makespan Metric -- 5.2 Experiments to Evaluate the Waiting Time Metric -- 5.3 Experiments to Evaluate the Quality of Assignments When Experimenting with the Makespan Metric -- 5.4 Time to Search for Resources in the Clusters for the Assignment of Tasks -- 6 Conclusions -- 7 Future Works -- References -- Best Paper Award, Third Place -- Sign Language Translation Using Multi Context Transformer -- 1 Introduction. 2 Related Work. |
| Record Nr. | UNINA-9910506386203321 |
Batyrshin I. Z (Ilʹdar Zakirzi͡anovich)
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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