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Advances in Artificial Intelligence and Its Applications [[electronic resource] ] : 12th Mexican International Conference, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part I / / edited by Félix Castro, Alexander Gelbukh, Miguel González Mendoza
Advances in Artificial Intelligence and Its Applications [[electronic resource] ] : 12th Mexican International Conference, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part I / / edited by Félix Castro, Alexander Gelbukh, Miguel González Mendoza
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 585 p. 139 illus.)
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 3-642-45114-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Some Properties of Logic N-GLukG -- The Inverse Method for Many-Valued Logics -- A Parametric Interpolation Framework for First-Order Theories -- Dalal’s Revision without Hamming Distance -- Default Assumptions and Selection Functions: A Generic Framework for Non-monotonic Logics -- Soft Constraints for Lexicographic Orders -- Expressive Reasoning on Tree Structures: Recursion, Inverse Programs, Presburger Constraints and Nominals -- Completion-Based Automated Theory Exploration -- Possibilistic Minimal Models for Possibilistic Normal Programs -- Knowledge-Based Systems and Multi-Agent Systems Estimating the Number of Test Cases for Active Rule Validation -- A Dynamic Multi-Expert Multi-Criteria Decision Making Model for Risk Analysis -- An Architecture for Cognitive Modeling to Support Real-Time Adaptation and Motivational Responses in Video Games -- Semantic Representation of CAD Models Based on the IGES Standard -- Complexity of Verification of Fuzzy Multi-Agent Systems -- Using Activity Theory and Causal Diagrams for Designing MultiAgent Systems That Assist Human Activities -- Challenges in Ontology Alignment and Solution to the Contradictory Evidence Problem -- Simple Window Selection Strategies for the Simplified Lesk Algorithm for Word Sense Disambiguation -- Disambiguating Wikipedia Articles on the Basis of plWordNet Lexico-semantic Relations -- Recognising Compositionality of Multi-Word Expressions in the Wordnet Oriented Perspective -- Automatic Processing of Linguistic Data as a Feedback for Linguistic Theory -- Interval Semi-supervised LDA: Classifying Needles in a Haystack -- A Reverse Dictionary Based on Semantic Analysis Using WordNet -- Applying Rogerian Psychologist in Human-Computer Interaction: A Case Study -- HuLaPos 2.0 – Decoding Morphology -- Hybrid Text Segmentation for Hungarian Clinical Records -- Detection and Expansion of Abbreviations in Hungarian Clinical Notes -- Composite Event Indicator Processing in Event Extraction for Non-configurational Language -- Exploration of a Rich Feature Set for Automatic Term Extraction -- A Pseudo-Relevance Feedback Based Method to Find Comprehensive Web Documents -- Enhancing Sentence Ordering by Hierarchical Topic Modeling for Multi-document Summarization -- An Enhanced Arabic OCR Degraded Text Retrieval Model -- ELEXR: Automatic Evaluation of Machine Translation Using Lexical Relationships -- Modeling Persian Verb Morphology to Improve English-Persian Machine Translation -- An XML Based TBX Framework to Represent Multilingual SNOMED CT for Translation -- The Twin Hypotheses – Brain Code and the Fundamental Code Unit: Towards Understanding the Computational Primitive Elements of Cortical Computing -- Predicting Metabolic Syndrome with Neural Networks -- Homogeneous Population Solving the Minimal Perturbation Problem in Dynamic Scheduling of Surgeries -- CUP Classification Based on a Tree Structure with MiRNA Feature Selection -- Machine Learning Techniques Applied to the Cleavage Site Prediction Problem -- Human Heart Segmentation Based on Differential Evolution and Active Contours with Shape Prior -- Detection of Human Retina Images Suspect of Glaucoma through the Vascular Bundle Displacement in the Optic Disc -- Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks -- A Bayesian and Minimum Variance Technique for Arterial Lumen Segmentation in Ultrasound Imaging -- Detection of Masses in Mammogram Images Using Morphological Operators and Markov Random Fields -- A New Collection of Preprocessed Digital Mammograms.
Record Nr. UNINA-9910484621003321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Artificial Intelligence and Its Applications [[electronic resource] ] : 12th Mexican International Conference, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part I / / edited by Félix Castro, Alexander Gelbukh, Miguel González Mendoza
Advances in Artificial Intelligence and Its Applications [[electronic resource] ] : 12th Mexican International Conference, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part I / / edited by Félix Castro, Alexander Gelbukh, Miguel González Mendoza
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 585 p. 139 illus.)
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 3-642-45114-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Some Properties of Logic N-GLukG -- The Inverse Method for Many-Valued Logics -- A Parametric Interpolation Framework for First-Order Theories -- Dalal’s Revision without Hamming Distance -- Default Assumptions and Selection Functions: A Generic Framework for Non-monotonic Logics -- Soft Constraints for Lexicographic Orders -- Expressive Reasoning on Tree Structures: Recursion, Inverse Programs, Presburger Constraints and Nominals -- Completion-Based Automated Theory Exploration -- Possibilistic Minimal Models for Possibilistic Normal Programs -- Knowledge-Based Systems and Multi-Agent Systems Estimating the Number of Test Cases for Active Rule Validation -- A Dynamic Multi-Expert Multi-Criteria Decision Making Model for Risk Analysis -- An Architecture for Cognitive Modeling to Support Real-Time Adaptation and Motivational Responses in Video Games -- Semantic Representation of CAD Models Based on the IGES Standard -- Complexity of Verification of Fuzzy Multi-Agent Systems -- Using Activity Theory and Causal Diagrams for Designing MultiAgent Systems That Assist Human Activities -- Challenges in Ontology Alignment and Solution to the Contradictory Evidence Problem -- Simple Window Selection Strategies for the Simplified Lesk Algorithm for Word Sense Disambiguation -- Disambiguating Wikipedia Articles on the Basis of plWordNet Lexico-semantic Relations -- Recognising Compositionality of Multi-Word Expressions in the Wordnet Oriented Perspective -- Automatic Processing of Linguistic Data as a Feedback for Linguistic Theory -- Interval Semi-supervised LDA: Classifying Needles in a Haystack -- A Reverse Dictionary Based on Semantic Analysis Using WordNet -- Applying Rogerian Psychologist in Human-Computer Interaction: A Case Study -- HuLaPos 2.0 – Decoding Morphology -- Hybrid Text Segmentation for Hungarian Clinical Records -- Detection and Expansion of Abbreviations in Hungarian Clinical Notes -- Composite Event Indicator Processing in Event Extraction for Non-configurational Language -- Exploration of a Rich Feature Set for Automatic Term Extraction -- A Pseudo-Relevance Feedback Based Method to Find Comprehensive Web Documents -- Enhancing Sentence Ordering by Hierarchical Topic Modeling for Multi-document Summarization -- An Enhanced Arabic OCR Degraded Text Retrieval Model -- ELEXR: Automatic Evaluation of Machine Translation Using Lexical Relationships -- Modeling Persian Verb Morphology to Improve English-Persian Machine Translation -- An XML Based TBX Framework to Represent Multilingual SNOMED CT for Translation -- The Twin Hypotheses – Brain Code and the Fundamental Code Unit: Towards Understanding the Computational Primitive Elements of Cortical Computing -- Predicting Metabolic Syndrome with Neural Networks -- Homogeneous Population Solving the Minimal Perturbation Problem in Dynamic Scheduling of Surgeries -- CUP Classification Based on a Tree Structure with MiRNA Feature Selection -- Machine Learning Techniques Applied to the Cleavage Site Prediction Problem -- Human Heart Segmentation Based on Differential Evolution and Active Contours with Shape Prior -- Detection of Human Retina Images Suspect of Glaucoma through the Vascular Bundle Displacement in the Optic Disc -- Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks -- A Bayesian and Minimum Variance Technique for Arterial Lumen Segmentation in Ultrasound Imaging -- Detection of Masses in Mammogram Images Using Morphological Operators and Markov Random Fields -- A New Collection of Preprocessed Digital Mammograms.
Record Nr. UNISA-996465639203316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Signal Processing and Intelligent Recognition Systems [[electronic resource] /] / edited by Sabu M. Thampi, Alexander Gelbukh, Jayanta Mukhopadhyay
Advances in Signal Processing and Intelligent Recognition Systems [[electronic resource] /] / edited by Sabu M. Thampi, Alexander Gelbukh, Jayanta Mukhopadhyay
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (607 p.)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Signal processing
Image processing
Speech processing systems
Computational Intelligence
Artificial Intelligence
Signal, Image and Speech Processing
ISBN 3-319-04960-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pattern Recognition, Machine Learning and Knowledge-Based Systems -- Signal and Speech Processing -- Image and Video Processing -- Mobile Computing and Applications -- International Workshop on Advances in Image Processing, Computer Vision, and Pattern Recognition (IWICP-2014) -- Work-in-Progress.
Record Nr. UNINA-9910299473403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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)  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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. UNISA-996464444503316
Batyrshin I. Z (Ilʹdar Zakirzi͡anovich)  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Soft Computing and Its Applications [[electronic resource] ] : 12th Mexican International Conference, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part II / / edited by Félix Castro, Alexander Gelbukh, Miguel González
Advances in Soft Computing and Its Applications [[electronic resource] ] : 12th Mexican International Conference, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part II / / edited by Félix Castro, Alexander Gelbukh, Miguel González
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 535 p. 174 illus.)
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 3-642-45111-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Best Genetic Algorithm I: A Comparative Study of Structurally Different Genetic Algorithms -- The Best Genetic Algorithm II: A Comparative Study of Structurally Different Genetic Algorithms -- The Concept of Confidence for Inheritance-Based Genetic Algorithms -- WIGA: Wolbachia Infection Genetic Algorithm for Solving Multi-Objective Optimization Problems -- B-spline Surface Approximation Using Hierarchical Genetic Algorithm -- A Study of Genetic Algorithms to Solve the School Timetabling Problem -- Explicit Exploration in Estimation of Distribution Algorithms -- An Ant Colony Algorithm for Improving Ship Stability in the Containership Stowage Problem -- Including Modal Improvisation and Music-Inspired Components to Improve Harmony Search -- A Massive Parallel Cellular GPU Implementation of Neural Network to Large Scale Euclidean TSP -- Determination of Cardiac Ejection Fraction by Electrical Impedance Tomography Using an Artificial Neural Network -- Bidirectional Recurrent Neural Networks for Biological Sequences Prediction -- Complete Diagnosis of Electrical Power Systems Using MDS and ANFIS -- Intelligent Rotor Time Constant Identification Approach in Indirect Field Oriented Induction Motor Drive -- Flame Classification through the Use of an Artificial Neural Network Trained with a Genetic Algorithm -- Traffic Sign Recognition Based on Linear Discriminant Analysis -- Association Measures and Aggregation Functions -- JT2FIS: A Java Type-2 Fuzzy Inference Systems Class Library for Building Object-Oriented Intelligent Applications -- Fault Detection and Diagnosis of Electrical Networks Using a Fuzzy System and Euclidian Distance -- An Embedded Fuzzy Agent for Online Tuning of a PID Controller for Position Control of a DC Motor -- A Note on Parameter Selection for Support Vector Machines -- Reinforcement Learning Method for Portfolio Optimal Frontier Search -- Weighed Aging Ensemble of Heterogenous Classifiers for Incremental Drift Classification -- Similarity Based on Data Compression -- Pattern Recognition with Spiking Neural Networks -- Subjective Evaluation of Labeling Methods for Association Rule Clustering -- An Algorithm of Classification for Nonstationary Case -- Using NIAR k-d Trees to Improve the Case-Based Reasoning Retrieval Step -- Weighting Query Terms towards Multi-faceted Information Fusion of Market Data -- An Agents and Artifacts Approach to Distributed Data Mining -- Evaluating Business Intelligence Gathering Techniques for Horizon Scanning Applications -- Identification of Relations in Region Connection Calculus: 9-Intersection Reduced to3+-Intersection Predicates -- Fast and Robust Object Recognition Based on Reduced Shock-Graphs and Pruned-SIFT -- Matching Qualitative Spatial Scene Descriptions a la Tabu -- Classification of Mexican Paper Currency Denomination by Extracting Their Discriminative Colors -- Towards Reduced EEG Based Brain-Computer Interfacing for Mobile Robot Navigation -- Practical Speech Recognition for Contextualized Service Robots -- Using Monte Carlo Tree Search to Solve Planning Problems in Transportation Domains -- An Approach Based on an Interactive Procedure for Multiple Objective Optimisation Problems -- On Modeling Planning Problems: Experience from the Petrobras Challenge -- An Introduction to Concept-Level Sentiment Analysis -- Common Sense Knowledge Based Personality Recognition from Text -- Implementing Fuzzy Subtractive Clustering to Build a Personality Fuzzy Model Based on Big Five Patterns for Engineers -- Finding Opinion Strength Using Rule-Based Parsing for Arabic Sentiment Analysis -- Emotion Based Features of Bird Singing for Turdus Migratorius Identification.
Record Nr. UNINA-9910484174303321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Soft Computing and Its Applications [[electronic resource] ] : 12th Mexican International Conference, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part II / / edited by Félix Castro, Alexander Gelbukh, Miguel González
Advances in Soft Computing and Its Applications [[electronic resource] ] : 12th Mexican International Conference, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part II / / edited by Félix Castro, Alexander Gelbukh, Miguel González
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 535 p. 174 illus.)
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 3-642-45111-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Best Genetic Algorithm I: A Comparative Study of Structurally Different Genetic Algorithms -- The Best Genetic Algorithm II: A Comparative Study of Structurally Different Genetic Algorithms -- The Concept of Confidence for Inheritance-Based Genetic Algorithms -- WIGA: Wolbachia Infection Genetic Algorithm for Solving Multi-Objective Optimization Problems -- B-spline Surface Approximation Using Hierarchical Genetic Algorithm -- A Study of Genetic Algorithms to Solve the School Timetabling Problem -- Explicit Exploration in Estimation of Distribution Algorithms -- An Ant Colony Algorithm for Improving Ship Stability in the Containership Stowage Problem -- Including Modal Improvisation and Music-Inspired Components to Improve Harmony Search -- A Massive Parallel Cellular GPU Implementation of Neural Network to Large Scale Euclidean TSP -- Determination of Cardiac Ejection Fraction by Electrical Impedance Tomography Using an Artificial Neural Network -- Bidirectional Recurrent Neural Networks for Biological Sequences Prediction -- Complete Diagnosis of Electrical Power Systems Using MDS and ANFIS -- Intelligent Rotor Time Constant Identification Approach in Indirect Field Oriented Induction Motor Drive -- Flame Classification through the Use of an Artificial Neural Network Trained with a Genetic Algorithm -- Traffic Sign Recognition Based on Linear Discriminant Analysis -- Association Measures and Aggregation Functions -- JT2FIS: A Java Type-2 Fuzzy Inference Systems Class Library for Building Object-Oriented Intelligent Applications -- Fault Detection and Diagnosis of Electrical Networks Using a Fuzzy System and Euclidian Distance -- An Embedded Fuzzy Agent for Online Tuning of a PID Controller for Position Control of a DC Motor -- A Note on Parameter Selection for Support Vector Machines -- Reinforcement Learning Method for Portfolio Optimal Frontier Search -- Weighed Aging Ensemble of Heterogenous Classifiers for Incremental Drift Classification -- Similarity Based on Data Compression -- Pattern Recognition with Spiking Neural Networks -- Subjective Evaluation of Labeling Methods for Association Rule Clustering -- An Algorithm of Classification for Nonstationary Case -- Using NIAR k-d Trees to Improve the Case-Based Reasoning Retrieval Step -- Weighting Query Terms towards Multi-faceted Information Fusion of Market Data -- An Agents and Artifacts Approach to Distributed Data Mining -- Evaluating Business Intelligence Gathering Techniques for Horizon Scanning Applications -- Identification of Relations in Region Connection Calculus: 9-Intersection Reduced to3+-Intersection Predicates -- Fast and Robust Object Recognition Based on Reduced Shock-Graphs and Pruned-SIFT -- Matching Qualitative Spatial Scene Descriptions a la Tabu -- Classification of Mexican Paper Currency Denomination by Extracting Their Discriminative Colors -- Towards Reduced EEG Based Brain-Computer Interfacing for Mobile Robot Navigation -- Practical Speech Recognition for Contextualized Service Robots -- Using Monte Carlo Tree Search to Solve Planning Problems in Transportation Domains -- An Approach Based on an Interactive Procedure for Multiple Objective Optimisation Problems -- On Modeling Planning Problems: Experience from the Petrobras Challenge -- An Introduction to Concept-Level Sentiment Analysis -- Common Sense Knowledge Based Personality Recognition from Text -- Implementing Fuzzy Subtractive Clustering to Build a Personality Fuzzy Model Based on Big Five Patterns for Engineers -- Finding Opinion Strength Using Rule-Based Parsing for Arabic Sentiment Analysis -- Emotion Based Features of Bird Singing for Turdus Migratorius Identification.
Record Nr. UNISA-996465643803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Swarm and Computational Intelligence [[electronic resource] ] : 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part III / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht
Advances in Swarm and Computational Intelligence [[electronic resource] ] : 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part III / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XIX, 496 p. 183 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Numerical analysis
Data mining
Computer simulation
Artificial intelligence
Numerical Analysis
Data Mining and Knowledge Discovery
Computer Modelling
Artificial Intelligence
ISBN 3-319-20469-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Novel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis.
Record Nr. UNISA-996198515003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Swarm and Computational Intelligence [[electronic resource] ] : 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht
Advances in Swarm and Computational Intelligence [[electronic resource] ] : 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXXI, 600 p. 217 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Numerical analysis
Data mining
Computer simulation
Artificial intelligence
Numerical Analysis
Data Mining and Knowledge Discovery
Computer Modelling
Artificial Intelligence
ISBN 3-319-20466-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Novel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis.
Record Nr. UNISA-996198515403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Swarm and Computational Intelligence [[electronic resource] ] : 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, June 25-28, 2015, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht
Advances in Swarm and Computational Intelligence [[electronic resource] ] : 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, June 25-28, 2015, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XIX, 498 p. 198 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Numerical analysis
Data mining
Computer simulation
Artificial intelligence
Numerical Analysis
Data Mining and Knowledge Discovery
Computer Modelling
Artificial Intelligence
ISBN 3-319-20472-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Novel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis.
Record Nr. UNISA-996198514703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui