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Artificial intelligence : an international perspective / / Max Bramer (ed.)
| Artificial intelligence : an international perspective / / Max Bramer (ed.) |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, 2009 |
| Descrizione fisica | 1 online resource (VII, 247 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | BramerMax |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Artificial intelligence
Self-organizing systems |
| ISBN | 3-642-03226-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence and Intelligent Systems Research in Chile -- Text and Hypertext Categorization -- Future Challenges for Autonomous Systems -- Affective Intelligence: The Human Face of AI -- Introducing Intelligence in Electronic Healthcare Systems: State of the Art and Future Trends -- AI in France: History, Lessons Learnt, State of the Art and Future -- Artifact-Mediated Society and Social Intelligence Design -- Multilingual Knowledge Management -- Agents, Intelligence and Tools -- An Overview of AI Research in Italy -- Intelligent User Profiling -- Supply Chain Business Intelligence: Technologies, Issues and Trends. |
| Record Nr. | UNINA-9910483350903321 |
| Berlin ; ; Heidelberg, : Springer-Verlag, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence in theory and practice II : IFIP 20th World Computer Congress, TC 12, IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy / / edited by Max Bramer
| Artificial intelligence in theory and practice II : IFIP 20th World Computer Congress, TC 12, IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy / / edited by Max Bramer |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, : Springer, 2008 |
| Descrizione fisica | 1 online resource (XVIII, 462 p.) |
| Disciplina |
535.2
537.6 |
| Altri autori (Persone) | BramerMax |
| Collana | International Federation for Information Processing |
| Soggetto topico | Artificial intelligence |
| ISBN | 0-387-09695-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Agents 1 -- A Light-Weight Multi-Agent System Manages 802.11 Mesh Networks -- Decisions with multiple simultaneous goals and uncertain causal effects -- Agent Based Frequent Set Meta Mining: Introducing EMADS -- Agents 2 -- On the evaluation of MAS development tools -- Information-Based Planning and Strategies -- Teaching Autonomous Agents to Move in a Believable Manner within Virtual Institutions -- Data Mining -- Mining Fuzzy Association Rules from Composite Items -- P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction -- Applying Data Mining to the Study of Joseki -- A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorization -- Neural Networks -- Estimation of Neural Network Parameters for Wheat Yield Prediction -- Enhancing RBF-DDA Algorithm’s Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules -- Learning -- A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System -- Answer Extraction for Definition Questions using Information Gain and Machine Learning -- Batch Reinforcement Learning for Controlling a Mobile Wheeled Pendulum Robot -- Knowledge Management -- Optimizing Relationships Information in Repertory Grids -- Modeling Stories in the Knowledge Management Context to Improve Learning Within Organizations -- Knowledge Modeling Framework for System Engineering Projects -- Foundations -- Machines with good sense: How can computers become capable of sensible reasoning? -- Making Use of Abstract Concepts–Systemic-Functional Linguistics and Ambient Intelligence -- Making Others Believe What They Want -- Foundation for Virtual Experiments to Evaluate Thermal Conductivity of Semi- and Super-Conducting Materials -- Applications 1 -- Intelligent Systems Applied to Optimize Building’s Environments Performance -- A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule -- Estimation of the Particle Size Distribution of a Latex using a General Regression Neural Network -- Intelligent Advisory System for Designing Plastics Products -- Applications 2 -- Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology -- An Intelligent Decision Support System for the Prompt Diagnosis of Malaria and Typhoid Fever in the Malaria Belt of Africa -- Detecting Unusual Changes of Users Consumption -- Techniques -- Optimal Subset Selection for Classification through SAT Encodings -- Multi-objective Model Predictive Optimization using Computational Intelligence -- An Intelligent Method for Edge Detection based on Nonlinear Diffusion -- Semantic Web -- A Survey of Exploiting WordNet in Ontology Matching -- Using Competitive Learning between Symbolic Rules as a Knowledge Learning Method -- Knowledge Conceptualization and Software Agent based Approach for OWL Modeling Issues -- Representation, Reasoning and Search -- Context Search Enhanced by Readability Index -- Towards an Enhanced Vector Model to Encode Textual Relations: Experiments Retrieving Information -- Efficient Two-Phase Data Reasoning for Description Logics -- Some Issues in Personalization of Intelligent Systems: An Activity Theory Approach for Meta Ontology Development -- Short Papers -- Smart communications network management through a synthesis of distributed intelligence and information -- An Abductive Multi-Agent System for Medical Services Coordination -- A New Learning Algorithm for Neural Networks with Integer Weights and Quantized Non-linear Activation Functions -- Neural Recognition of Minerals -- Bayesian Networks Optimization Based on Induction Learning Techniques -- Application of Business Intelligence for Business Process Management -- Learning Life Cycle in Autonomous Intelligent Systems -- A Map-based Integration of Ontologies into an Object-Oriented Programming Language. |
| Altri titoli varianti |
Artificial intelligence in theory and practice 2
Artificial intelligence in theory and practice two |
| Record Nr. | UNINA-9910485052203321 |
| New York, : Springer, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence XL : 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, Proceedings / / Max Bramer and Frederic Stahl, editors
| Artificial Intelligence XL : 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, Proceedings / / Max Bramer and Frederic Stahl, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (525 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-031-47994-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Technical Papers -- On Explanations for Hybrid Artificial Intelligence (Best Technical Paper) -- Speech and Natural Language Analysis -- Intermediate Task Ensembling for Sarcasm Detection -- Clinical Dialogue Transcription Error Correction with Self-supervision -- Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian -- Confidence Preservation Property in Knowledge Distillation Abstractions -- Image Analysis -- Exploring Optimal Configurations in Active Learning for Medical Imaging -- CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric -- A Contrastive Learning Scheme with Transformer Innate Patches -- Deep Despeckling of SAR Images to Improve Change Detection Performance -- Neural Nets -- Profiling Power Consumption for Deep Learning on Resource Limited Devices -- Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation -- Case Based Reasoning -- Semi-Supervised Similarity Learning in Process-Oriented Case-Based Reasoning -- PertCF: A Perturbation-Based Counterfactual Generation Approach -- Short Technical Papers -- Speech Emotion Recognition using Deep Learning -- Distinct Sequential Models for Inference Boosting -- On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research -- Unveiling the Relationship between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence -- A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment -- Optimal Manufacturing Controller Synthesis using Situation Calculus -- Predicting social Trust from Implicit Feedback -- A Neural Network Approach to Dragon Boat Partition Problem (Abstract) -- Auditing AI Systems: A Metadata Approach -- Prospective Responsibility for Multi-Agent Systems -- Fighting Lies with Intelligence: Using Large Language Models and Chain of Thoughts Technique to Combat Fake News -- A Knowledge Rich Task Planning Framework for Human-Robot Collaboration -- Q-Learning: Solutions for Grid World Problem with Forward and Backward Reward Propagations -- Application Papers -- Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures (Best Application Paper) -- Machine Learning Applications -- Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine -- Solar Flare Forecasting Using Individual and Ensemble RNN Models -- Deep Reinforcement Learning for Continuous Control of Material Thickness -- SANTA: Semi-supervised Adversarial Network Threat and Anomaly Detection System -- Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction -- Machine Vision Applications -- ReFrogID: Pattern Recognition for Pool Frog Identification using Deep Learning and Feature Matching -- Cropline and Weed Detection in Corn Using Weak Supervision -- Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer`s Disease from MRI Images -- Knowledge Discovery and Data Mining Applications -- Heuristic Search of Heuristics -- Bias in Recommender Systems: Item Price Perspective -- Other AI Applications -- Automating Question Generation From Educational Text -- Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement -- Interpreting NMR Spectra By Constraint Solving -- Short Application Papers -- On The Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem -- Detecting Bias in University News Articles: A Comparative Study using BERT, GPT-3.5 and Google Bard Annotations -- Hybrid System for Prostate MR Image Segmentation Using Expert Knowledge and Machine Learning -- COVID-19 Liquor Sales Forecasting Model -- On The Development of a Candidate Selection System for Automated Plastic Waste Detection using Airborne Based Remote Sensing -- Estimations of Professional Experience with Panel Data to Improve Salary Predictions -- Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review. |
| Record Nr. | UNINA-9910760252203321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence XL : 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, Proceedings / / Max Bramer and Frederic Stahl, editors
| Artificial Intelligence XL : 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, Proceedings / / Max Bramer and Frederic Stahl, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (525 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-031-47994-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Technical Papers -- On Explanations for Hybrid Artificial Intelligence (Best Technical Paper) -- Speech and Natural Language Analysis -- Intermediate Task Ensembling for Sarcasm Detection -- Clinical Dialogue Transcription Error Correction with Self-supervision -- Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian -- Confidence Preservation Property in Knowledge Distillation Abstractions -- Image Analysis -- Exploring Optimal Configurations in Active Learning for Medical Imaging -- CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric -- A Contrastive Learning Scheme with Transformer Innate Patches -- Deep Despeckling of SAR Images to Improve Change Detection Performance -- Neural Nets -- Profiling Power Consumption for Deep Learning on Resource Limited Devices -- Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation -- Case Based Reasoning -- Semi-Supervised Similarity Learning in Process-Oriented Case-Based Reasoning -- PertCF: A Perturbation-Based Counterfactual Generation Approach -- Short Technical Papers -- Speech Emotion Recognition using Deep Learning -- Distinct Sequential Models for Inference Boosting -- On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research -- Unveiling the Relationship between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence -- A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment -- Optimal Manufacturing Controller Synthesis using Situation Calculus -- Predicting social Trust from Implicit Feedback -- A Neural Network Approach to Dragon Boat Partition Problem (Abstract) -- Auditing AI Systems: A Metadata Approach -- Prospective Responsibility for Multi-Agent Systems -- Fighting Lies with Intelligence: Using Large Language Models and Chain of Thoughts Technique to Combat Fake News -- A Knowledge Rich Task Planning Framework for Human-Robot Collaboration -- Q-Learning: Solutions for Grid World Problem with Forward and Backward Reward Propagations -- Application Papers -- Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures (Best Application Paper) -- Machine Learning Applications -- Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine -- Solar Flare Forecasting Using Individual and Ensemble RNN Models -- Deep Reinforcement Learning for Continuous Control of Material Thickness -- SANTA: Semi-supervised Adversarial Network Threat and Anomaly Detection System -- Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction -- Machine Vision Applications -- ReFrogID: Pattern Recognition for Pool Frog Identification using Deep Learning and Feature Matching -- Cropline and Weed Detection in Corn Using Weak Supervision -- Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer`s Disease from MRI Images -- Knowledge Discovery and Data Mining Applications -- Heuristic Search of Heuristics -- Bias in Recommender Systems: Item Price Perspective -- Other AI Applications -- Automating Question Generation From Educational Text -- Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement -- Interpreting NMR Spectra By Constraint Solving -- Short Application Papers -- On The Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem -- Detecting Bias in University News Articles: A Comparative Study using BERT, GPT-3.5 and Google Bard Annotations -- Hybrid System for Prostate MR Image Segmentation Using Expert Knowledge and Machine Learning -- COVID-19 Liquor Sales Forecasting Model -- On The Development of a Candidate Selection System for Automated Plastic Waste Detection using Airborne Based Remote Sensing -- Estimations of Professional Experience with Panel Data to Improve Salary Predictions -- Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review. |
| Record Nr. | UNISA-996565870303316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence XXXIV [[electronic resource] ] : 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings / / edited by Max Bramer, Miltos Petridis
| Artificial Intelligence XXXIV [[electronic resource] ] : 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings / / edited by Max Bramer, Miltos Petridis |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 430 p. 148 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Algorithms Artificial Intelligence Computer Appl. in Administrative Data Processing Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-71078-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | TECHNICAL STREAM PAPERS -- BEST TECHNICAL PAPER -- Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation -- MACHINE LEARNING AND NEURAL NETWORKS -- Masked Conditional Neural Networks for Environmental Sound Classification -- Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting -- A Blackboard based Hybrid Multi-Agent System for Improving Classification Accuracy using Reinforcement Learning Techniques -- MACHINE LEARNING, SPEECH AND VISION AND FUZZY LOGIC -- Programming Without Program or How To Program in Natural Language Utterances -- Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines -- Measuring Relations between Concepts in Conceptual Spaces -- Towards a Deep reinforcement learning approach for Tower Line Wars -- Improving Modular Classification Rule Induction with G-Prism using Dynamic Rule Term Boundaries -- SHORT TECHNICAL PAPERS -- Inference and discovery in remote sensing data with features extracted using deep networks -- Quantization Error-based Regularization in Neural Networks -- Knowledge Transfer in Neural Language Models -- Emotion Recognition in Text Using PPM -- An experimental comparison of ensemble classifiers for evolving data streams -- A learning automata Local Contribution Sampling applied to hydropower production optimization -- Toward Component Based Self-Adaptive Multi-Strategic Pedagogical Agent -- APPLICATION STREAM PAPERS -- BEST APPLICATION PAPER -- Cable Belief Networks -- AI FOR HEALTHCARE -- Towards the Integration of Prescription Analytics into Health Policy and General Practice -- An Ontology to support Knowledge Management in Behaviour-based Healthcare -- Using Semantic Web technologies to underpin the SNOMED CT query language -- APPLICATIONS OF MACHINE LEARNING -- Feature Level Ensemble Method for Classifying Multi-media Data -- Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes -- Algorithms and Architecture for Real-time Recommendations at News UK -- Customer Contact Journey Prediction -- APPLICATIONS OF NEURAL NETWORKS AND FUZZY LOGIC -- A Better Predictor of Marathon Race Times based on Neural Networks -- Fuzzy Logic Based Personalized Task Recommendation System for Field Services -- Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure -- CASE-BASED REASONING -- Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning -- Predicting Dust Storms Using Hybrid Intelligence System -- AI TECHNIQUES -- Decision support system for green real-life field scheduling problems -- Multi-label Classification of Movie Posters into Genres with Rakel ensemble method -- Parameter Search for a small swarm of AUVs using Particle Swarm Optimisation -- SHORT APPLICATION PAPERS -- Deep learning for classification of bi-lingual ads in online classifieds -- Enhancing Symmetry in GAN Generated Fashion Images -- Predicting Service Levels Using Neural Networks -- Using Machine Learning for Dynamic Multicast Capacity Planning -- Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data. |
| Record Nr. | UNISA-996466441703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence XXXIV : 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings / / edited by Max Bramer, Miltos Petridis
| Artificial Intelligence XXXIV : 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings / / edited by Max Bramer, Miltos Petridis |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 430 p. 148 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Algorithms Artificial Intelligence Computer Appl. in Administrative Data Processing Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-71078-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | TECHNICAL STREAM PAPERS -- BEST TECHNICAL PAPER -- Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation -- MACHINE LEARNING AND NEURAL NETWORKS -- Masked Conditional Neural Networks for Environmental Sound Classification -- Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting -- A Blackboard based Hybrid Multi-Agent System for Improving Classification Accuracy using Reinforcement Learning Techniques -- MACHINE LEARNING, SPEECH AND VISION AND FUZZY LOGIC -- Programming Without Program or How To Program in Natural Language Utterances -- Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines -- Measuring Relations between Concepts in Conceptual Spaces -- Towards a Deep reinforcement learning approach for Tower Line Wars -- Improving Modular Classification Rule Induction with G-Prism using Dynamic Rule Term Boundaries -- SHORT TECHNICAL PAPERS -- Inference and discovery in remote sensing data with features extracted using deep networks -- Quantization Error-based Regularization in Neural Networks -- Knowledge Transfer in Neural Language Models -- Emotion Recognition in Text Using PPM -- An experimental comparison of ensemble classifiers for evolving data streams -- A learning automata Local Contribution Sampling applied to hydropower production optimization -- Toward Component Based Self-Adaptive Multi-Strategic Pedagogical Agent -- APPLICATION STREAM PAPERS -- BEST APPLICATION PAPER -- Cable Belief Networks -- AI FOR HEALTHCARE -- Towards the Integration of Prescription Analytics into Health Policy and General Practice -- An Ontology to support Knowledge Management in Behaviour-based Healthcare -- Using Semantic Web technologies to underpin the SNOMED CT query language -- APPLICATIONS OF MACHINE LEARNING -- Feature Level Ensemble Method for Classifying Multi-media Data -- Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes -- Algorithms and Architecture for Real-time Recommendations at News UK -- Customer Contact Journey Prediction -- APPLICATIONS OF NEURAL NETWORKS AND FUZZY LOGIC -- A Better Predictor of Marathon Race Times based on Neural Networks -- Fuzzy Logic Based Personalized Task Recommendation System for Field Services -- Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure -- CASE-BASED REASONING -- Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning -- Predicting Dust Storms Using Hybrid Intelligence System -- AI TECHNIQUES -- Decision support system for green real-life field scheduling problems -- Multi-label Classification of Movie Posters into Genres with Rakel ensemble method -- Parameter Search for a small swarm of AUVs using Particle Swarm Optimisation -- SHORT APPLICATION PAPERS -- Deep learning for classification of bi-lingual ads in online classifieds -- Enhancing Symmetry in GAN Generated Fashion Images -- Predicting Service Levels Using Neural Networks -- Using Machine Learning for Dynamic Multicast Capacity Planning -- Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data. |
| Record Nr. | UNINA-9910484056403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence XXXIX : 42nd SGAI International Conference on Artificial Intelligence, AI 2022, Cambridge, UK, December 13-15, 2022, proceedings / / edited by Max Bramer and Frédéric Stahl
| Artificial intelligence XXXIX : 42nd SGAI International Conference on Artificial Intelligence, AI 2022, Cambridge, UK, December 13-15, 2022, proceedings / / edited by Max Bramer and Frédéric Stahl |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (373 pages) |
| Disciplina | 016.403 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-031-21441-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organisation -- Contents -- Best Technical Paper -- Practical Limits to Transfer Learning of Neural Network Controllers from Earth to Space Environments -- 1 Introduction -- 2 Space-Based Kinematics and Dynamics -- 3 Predictive Feedforward Control -- 4 Methodology -- 4.1 Barrett WAM Configuration -- 4.2 Implementation of Multiple-Target Prediction Algorithms -- 5 Results -- 6 Conclusion and Future Work -- References -- Best Application Paper -- Job Assignment Problem and Traveling Salesman Problem: A Linked Optimisation Problem -- 1 Introduction -- 2 Problem Background -- 3 Problem Formulation -- 3.1 Linked Problem Perspective -- 3.2 Job Assignment Problem JAP -- 3.3 Travelling Salesman Problem TSP -- 3.4 JAPTSP -- 4 Proposed Approach -- 4.1 Genetic Components -- 4.2 Sequential Approach -- 4.3 NSGALP Approach -- 4.4 MCRGALP Approach -- 5 Experiments -- 5.1 Benchmark Problems -- 5.2 Exploratory Analysis of Problem Linkages -- 5.3 Performance Metric -- 5.4 Parameter Settings -- 5.5 Experimental Results and Analysis -- 6 Conclusion and Future Work -- References -- AI for Health and Medicine -- Twitter Flu Trend: A Hybrid Deep Neural Network for Tweet Analysis -- 1 Introduction -- 2 Related Work -- 2.1 ILI Surveillance Using Twitter -- 2.2 Semantic Enrichment with Knowledge Sources -- 2.3 Semantic Representation with Deep Learning -- 3 Our Method -- 3.1 Word Embedding -- 3.2 Convolutional Neural Network (CNN) -- 3.3 Bidirectional Long Short Term Memory (BiLSTM) -- 3.4 Hybrid Neural Network -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Baseline Methods -- 5 Results -- 5.1 Correlation Evaluation -- 6 Conclusion -- References -- Data Augmentation for Pathology Prioritisation: An Improved LSTM-Based Approach -- 1 Introduction -- 2 Previous Work -- 3 Application Domain -- 4 Pathology Data Augmentation and Prioritisation.
4.1 Jittering -- 4.2 SMOTE -- 4.3 DFM -- 4.4 Guided Warping -- 4.5 LSTM for Prioritisation -- 5 Evaluation -- 5.1 Evaluation Data Set -- 5.2 Best LSTM Settings -- 5.3 Comparison of the Overall Performance of Prioritisation -- 6 Conclusions -- References -- Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor -- 1 Introduction -- 2 Previous Work -- 3 Proposed Approach -- 3.1 ECG Image Pre-processing -- 3.2 Feature Extraction -- 3.3 Dimensionality Reduction -- 3.4 Data Augmentation -- 3.5 Feature Vector Generation -- 4 Evaluation -- 4.1 Data Set -- 4.2 Best Combination of Techniques -- 4.3 Analysis of the Effect of Adding Additional Data -- 4.4 Comparison of Approaches -- 5 Conclusion -- References -- AI for Scientific Discovery and Decision Making -- Bootstrapping Neural Electronics from Lunar Resources for In-Situ Artificial Intelligence Applications -- 1 Introduction -- 2 Modes of Computation -- 3 3D Printer-Based Turing Machine -- 4 Analogue Neural Network Learning Circuitry -- 5 Analogue Neural Network Circuit Simulations -- 6 Analogue Neural Network Circuit Hardware -- 7 Conclusions -- References -- Query Resolution of Literature Knowledge Graphs Using Hybrid Document Embeddings -- 1 Introduction -- 2 Literature Review -- 2.1 Non-contextualized Embedding Models - CBOW -- 2.2 Contextualized Embedding Models - BERT and SciBERT -- 2.3 Knowledge Graph Embedding Models -- 3 The Hybrid Query-Resolution Approach -- 4 Random Walk Knowledge Graph Embedding -- 5 Evaluation -- 6 Conclusion -- References -- On an Artificial Neural Network Approach for Predicting Photosynthetically Active Radiation in the Water Column -- 1 Introduction -- 2 Related Work -- 3 Vertical Radiometric Measurement of the Water Column -- 4 Data Interpretation -- 5 Architecture of the Developed ANN. 6 Evaluation of the Artificial Neural Network -- 7 Conclusion -- References -- Morality, Machines, and the Interpretation Problem: A Value-based, Wittgensteinian Approach to Building Moral Agents -- 1 Intelligence and the Interpretation Problem (IP) -- 2 Normative Systems as Spaces of Possibility -- 3 Tackling the Interpretation Problem -- 4 On Implementing a Value-Based Virtuous AI -- References -- CRC: Consolidated Rules Construction for Expressive Ensemble Classification -- 1 Introduction -- 2 Related Work -- 3 The ReG-Rules Ensemble Learner -- 4 The CRC Ensemble Learner -- 4.1 Stacking and Consolidation Stage -- 4.2 Prediction Stage -- 5 Empirical Evaluation of CRC Learning Model -- 5.1 Experimental Setup -- 5.2 Results and Interpretation -- 6 Conclusion -- References -- Competitive Learning with Spiking Nets and Spike Timing Dependent Plasticity -- 1 Introduction -- 2 Literature Review -- 2.1 Standard Models and Commonly Used Systems -- 2.2 Unsupervised Learning Using STDP -- 3 Methods -- 3.1 Student Performance Categorisation -- 3.2 Digit Categorisation -- 4 The Student Performance Categorisation System -- 4.1 Student Performance Spiking Net Model -- 4.2 Results -- 5 The Digit Categorisation System -- 5.1 Spiking Neuron Network Model -- 5.2 Results -- 6 Discussion -- 7 Conclusion -- References -- An Evolutionary Game Theory Model of the Decision to Confront -- 1 Evolution of Cooperation and Confrontation -- 1.1 A Competition for Resources -- 2 Modelling the Evolution of Confrontation -- 2.1 Introduction -- 2.2 The Organisms -- 2.3 The Survival Cycle -- 3 Results -- 3.1 Genes Determining Confrontational Propensity (CP) -- 3.2 Gene Sensitive to Gain (RS1) -- 3.3 Gene Sensitive to Loss (RS2) -- 3.4 Gene Responsive to Health (HS1) -- 3.5 Gene Responsive to Death (HS2) -- 4 Discussion -- References. Hidden Markov Models for Surprising Pattern Detection in Discrete Symbol Sequence Data -- 1 Introduction -- 2 Related Work -- 3 Hidden Markov Models -- 4 Methods -- 5 Data -- 5.1 Sepsis Data Set -- 5.2 Self-rated Health Data Set -- 6 Results -- 6.1 Sepsis Data Analysis -- 6.2 Self-reported Health (SRH) Data Analysis -- 7 Discussion -- 8 Conclusions -- References -- AI for Industrial Applications -- The ODeLIndA Dataset for Field-of-View Obstruction Detection Using Transfer Learning for Real-Time Industrial Applications -- 1 Introduction -- 2 Background -- 3 Related Work -- 3.1 View Obstructions for Moving Cameras -- 3.2 Transfer Learning and Machine Vision -- 3.3 Deep Learning Models for Computer Vision -- 4 The ODeLIndA Dataset for FOV Obstruction Detection -- 5 Transfer Learning for Efficient Obstruction Detection -- 6 Results -- 7 Conclusion and Future Work -- References -- Automated Quality Inspection of High Voltage Equipment Supported by Machine Learning and Computer Vision -- 1 Introduction -- 2 Problem Statement -- 2.1 Bi-mode Insulated Gate Transistor -- 2.2 BIGT Assembly Process Verification -- 3 Solution Overview and Development Process -- 3.1 Hardware Architecture -- 3.2 Machine Learning Layer -- 3.3 Software Architecture -- 3.4 Issues Related to Moving to Production -- 4 Summary -- References -- On Predicting the Work Load for Service Contractors -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Tuning Hyper Parameters -- 3.2 Validation -- 4 Experiment Setup and Analysis of Results -- 4.1 Data-Set -- 4.2 Experiment Setup -- 4.3 Evaluation and Results -- 5 Conclusion -- References -- OAK4XAI: Model Towards Out-of-Box eXplainable Artificial Intelligence for Digital Agriculture -- 1 Introduction -- 2 OAK - Ontology-Based Knowledge Map Model -- 2.1 Knowledge Definitions -- 2.2 Ontology: Role and Design. 3 OAK4XAI Model and Architecture -- 3.1 OAK4XAI Architecture -- 3.2 Using OAK4XAI for Modeling and Explaining -- 3.3 XAI Transparency with OAK4XAI -- 4 Validation -- 4.1 Implementation -- 4.2 Explanation -- 4.3 Statistics -- 5 Conclusion and Future Work -- References -- Feasibility Studies of Applied AI -- Deep Learning for Detecting Tilt Angle and Orientation of Photovoltaic Panels on Satellite Imagery -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Rooftop Detection -- 3.2 Rooftop Classification -- 3.3 Tilt Angle Estimation -- 3.4 Orientation Detection -- 4 Results -- 5 Conclusion and Future Work -- References -- Recurrent Neural Networks for Music Genre Classification -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Feature Extraction -- 3.3 Model Training -- 4 Evaluation Results -- 5 Conclusion and Future Work -- References -- Explainable Boosting Machines for Network Intrusion Detection with Features Reduction -- 1 Introduction -- 2 Explainable Artificial Intelligence (XAI) -- 3 Explainable Boosting Machine -- 4 Network Intrusion Detection -- 5 Experiments and Evaluations -- 5.1 Can EBMs Classifiers Outperform Other Classifiers? -- 5.2 Deciding on Features with Obfuscation Information -- 5.3 Reducing the Number of Features Without Degrading the Performance -- 6 Conclusion and Future Work -- References -- Short Papers -- Accelerating Cyber-Breach Investigations Through Novel Use of Artificial Immune System Algorithms -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Artificial Immune Systems -- 3.2 Deterministic Dendritic Cell Algorithm -- 3.3 Methodology -- 4 Experiment Results and Application -- 5 Conclusions and Further Work -- References -- Comparing ML Models for Food Production Forecasting -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Experimental Results. 4.1 Dataset and Model Setting. |
| Record Nr. | UNISA-996503471503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial intelligence XXXIX : 42nd SGAI International Conference on Artificial Intelligence, AI 2022, Cambridge, UK, December 13-15, 2022, proceedings / / edited by Max Bramer and Frédéric Stahl
| Artificial intelligence XXXIX : 42nd SGAI International Conference on Artificial Intelligence, AI 2022, Cambridge, UK, December 13-15, 2022, proceedings / / edited by Max Bramer and Frédéric Stahl |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (373 pages) |
| Disciplina | 016.403 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-031-21441-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organisation -- Contents -- Best Technical Paper -- Practical Limits to Transfer Learning of Neural Network Controllers from Earth to Space Environments -- 1 Introduction -- 2 Space-Based Kinematics and Dynamics -- 3 Predictive Feedforward Control -- 4 Methodology -- 4.1 Barrett WAM Configuration -- 4.2 Implementation of Multiple-Target Prediction Algorithms -- 5 Results -- 6 Conclusion and Future Work -- References -- Best Application Paper -- Job Assignment Problem and Traveling Salesman Problem: A Linked Optimisation Problem -- 1 Introduction -- 2 Problem Background -- 3 Problem Formulation -- 3.1 Linked Problem Perspective -- 3.2 Job Assignment Problem JAP -- 3.3 Travelling Salesman Problem TSP -- 3.4 JAPTSP -- 4 Proposed Approach -- 4.1 Genetic Components -- 4.2 Sequential Approach -- 4.3 NSGALP Approach -- 4.4 MCRGALP Approach -- 5 Experiments -- 5.1 Benchmark Problems -- 5.2 Exploratory Analysis of Problem Linkages -- 5.3 Performance Metric -- 5.4 Parameter Settings -- 5.5 Experimental Results and Analysis -- 6 Conclusion and Future Work -- References -- AI for Health and Medicine -- Twitter Flu Trend: A Hybrid Deep Neural Network for Tweet Analysis -- 1 Introduction -- 2 Related Work -- 2.1 ILI Surveillance Using Twitter -- 2.2 Semantic Enrichment with Knowledge Sources -- 2.3 Semantic Representation with Deep Learning -- 3 Our Method -- 3.1 Word Embedding -- 3.2 Convolutional Neural Network (CNN) -- 3.3 Bidirectional Long Short Term Memory (BiLSTM) -- 3.4 Hybrid Neural Network -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Baseline Methods -- 5 Results -- 5.1 Correlation Evaluation -- 6 Conclusion -- References -- Data Augmentation for Pathology Prioritisation: An Improved LSTM-Based Approach -- 1 Introduction -- 2 Previous Work -- 3 Application Domain -- 4 Pathology Data Augmentation and Prioritisation.
4.1 Jittering -- 4.2 SMOTE -- 4.3 DFM -- 4.4 Guided Warping -- 4.5 LSTM for Prioritisation -- 5 Evaluation -- 5.1 Evaluation Data Set -- 5.2 Best LSTM Settings -- 5.3 Comparison of the Overall Performance of Prioritisation -- 6 Conclusions -- References -- Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor -- 1 Introduction -- 2 Previous Work -- 3 Proposed Approach -- 3.1 ECG Image Pre-processing -- 3.2 Feature Extraction -- 3.3 Dimensionality Reduction -- 3.4 Data Augmentation -- 3.5 Feature Vector Generation -- 4 Evaluation -- 4.1 Data Set -- 4.2 Best Combination of Techniques -- 4.3 Analysis of the Effect of Adding Additional Data -- 4.4 Comparison of Approaches -- 5 Conclusion -- References -- AI for Scientific Discovery and Decision Making -- Bootstrapping Neural Electronics from Lunar Resources for In-Situ Artificial Intelligence Applications -- 1 Introduction -- 2 Modes of Computation -- 3 3D Printer-Based Turing Machine -- 4 Analogue Neural Network Learning Circuitry -- 5 Analogue Neural Network Circuit Simulations -- 6 Analogue Neural Network Circuit Hardware -- 7 Conclusions -- References -- Query Resolution of Literature Knowledge Graphs Using Hybrid Document Embeddings -- 1 Introduction -- 2 Literature Review -- 2.1 Non-contextualized Embedding Models - CBOW -- 2.2 Contextualized Embedding Models - BERT and SciBERT -- 2.3 Knowledge Graph Embedding Models -- 3 The Hybrid Query-Resolution Approach -- 4 Random Walk Knowledge Graph Embedding -- 5 Evaluation -- 6 Conclusion -- References -- On an Artificial Neural Network Approach for Predicting Photosynthetically Active Radiation in the Water Column -- 1 Introduction -- 2 Related Work -- 3 Vertical Radiometric Measurement of the Water Column -- 4 Data Interpretation -- 5 Architecture of the Developed ANN. 6 Evaluation of the Artificial Neural Network -- 7 Conclusion -- References -- Morality, Machines, and the Interpretation Problem: A Value-based, Wittgensteinian Approach to Building Moral Agents -- 1 Intelligence and the Interpretation Problem (IP) -- 2 Normative Systems as Spaces of Possibility -- 3 Tackling the Interpretation Problem -- 4 On Implementing a Value-Based Virtuous AI -- References -- CRC: Consolidated Rules Construction for Expressive Ensemble Classification -- 1 Introduction -- 2 Related Work -- 3 The ReG-Rules Ensemble Learner -- 4 The CRC Ensemble Learner -- 4.1 Stacking and Consolidation Stage -- 4.2 Prediction Stage -- 5 Empirical Evaluation of CRC Learning Model -- 5.1 Experimental Setup -- 5.2 Results and Interpretation -- 6 Conclusion -- References -- Competitive Learning with Spiking Nets and Spike Timing Dependent Plasticity -- 1 Introduction -- 2 Literature Review -- 2.1 Standard Models and Commonly Used Systems -- 2.2 Unsupervised Learning Using STDP -- 3 Methods -- 3.1 Student Performance Categorisation -- 3.2 Digit Categorisation -- 4 The Student Performance Categorisation System -- 4.1 Student Performance Spiking Net Model -- 4.2 Results -- 5 The Digit Categorisation System -- 5.1 Spiking Neuron Network Model -- 5.2 Results -- 6 Discussion -- 7 Conclusion -- References -- An Evolutionary Game Theory Model of the Decision to Confront -- 1 Evolution of Cooperation and Confrontation -- 1.1 A Competition for Resources -- 2 Modelling the Evolution of Confrontation -- 2.1 Introduction -- 2.2 The Organisms -- 2.3 The Survival Cycle -- 3 Results -- 3.1 Genes Determining Confrontational Propensity (CP) -- 3.2 Gene Sensitive to Gain (RS1) -- 3.3 Gene Sensitive to Loss (RS2) -- 3.4 Gene Responsive to Health (HS1) -- 3.5 Gene Responsive to Death (HS2) -- 4 Discussion -- References. Hidden Markov Models for Surprising Pattern Detection in Discrete Symbol Sequence Data -- 1 Introduction -- 2 Related Work -- 3 Hidden Markov Models -- 4 Methods -- 5 Data -- 5.1 Sepsis Data Set -- 5.2 Self-rated Health Data Set -- 6 Results -- 6.1 Sepsis Data Analysis -- 6.2 Self-reported Health (SRH) Data Analysis -- 7 Discussion -- 8 Conclusions -- References -- AI for Industrial Applications -- The ODeLIndA Dataset for Field-of-View Obstruction Detection Using Transfer Learning for Real-Time Industrial Applications -- 1 Introduction -- 2 Background -- 3 Related Work -- 3.1 View Obstructions for Moving Cameras -- 3.2 Transfer Learning and Machine Vision -- 3.3 Deep Learning Models for Computer Vision -- 4 The ODeLIndA Dataset for FOV Obstruction Detection -- 5 Transfer Learning for Efficient Obstruction Detection -- 6 Results -- 7 Conclusion and Future Work -- References -- Automated Quality Inspection of High Voltage Equipment Supported by Machine Learning and Computer Vision -- 1 Introduction -- 2 Problem Statement -- 2.1 Bi-mode Insulated Gate Transistor -- 2.2 BIGT Assembly Process Verification -- 3 Solution Overview and Development Process -- 3.1 Hardware Architecture -- 3.2 Machine Learning Layer -- 3.3 Software Architecture -- 3.4 Issues Related to Moving to Production -- 4 Summary -- References -- On Predicting the Work Load for Service Contractors -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Tuning Hyper Parameters -- 3.2 Validation -- 4 Experiment Setup and Analysis of Results -- 4.1 Data-Set -- 4.2 Experiment Setup -- 4.3 Evaluation and Results -- 5 Conclusion -- References -- OAK4XAI: Model Towards Out-of-Box eXplainable Artificial Intelligence for Digital Agriculture -- 1 Introduction -- 2 OAK - Ontology-Based Knowledge Map Model -- 2.1 Knowledge Definitions -- 2.2 Ontology: Role and Design. 3 OAK4XAI Model and Architecture -- 3.1 OAK4XAI Architecture -- 3.2 Using OAK4XAI for Modeling and Explaining -- 3.3 XAI Transparency with OAK4XAI -- 4 Validation -- 4.1 Implementation -- 4.2 Explanation -- 4.3 Statistics -- 5 Conclusion and Future Work -- References -- Feasibility Studies of Applied AI -- Deep Learning for Detecting Tilt Angle and Orientation of Photovoltaic Panels on Satellite Imagery -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Rooftop Detection -- 3.2 Rooftop Classification -- 3.3 Tilt Angle Estimation -- 3.4 Orientation Detection -- 4 Results -- 5 Conclusion and Future Work -- References -- Recurrent Neural Networks for Music Genre Classification -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Feature Extraction -- 3.3 Model Training -- 4 Evaluation Results -- 5 Conclusion and Future Work -- References -- Explainable Boosting Machines for Network Intrusion Detection with Features Reduction -- 1 Introduction -- 2 Explainable Artificial Intelligence (XAI) -- 3 Explainable Boosting Machine -- 4 Network Intrusion Detection -- 5 Experiments and Evaluations -- 5.1 Can EBMs Classifiers Outperform Other Classifiers? -- 5.2 Deciding on Features with Obfuscation Information -- 5.3 Reducing the Number of Features Without Degrading the Performance -- 6 Conclusion and Future Work -- References -- Short Papers -- Accelerating Cyber-Breach Investigations Through Novel Use of Artificial Immune System Algorithms -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Artificial Immune Systems -- 3.2 Deterministic Dendritic Cell Algorithm -- 3.3 Methodology -- 4 Experiment Results and Application -- 5 Conclusions and Further Work -- References -- Comparing ML Models for Food Production Forecasting -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Experimental Results. 4.1 Dataset and Model Setting. |
| Record Nr. | UNINA-9910633931303321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence XXXV [[electronic resource] ] : 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings / / edited by Max Bramer, Miltos Petridis
| Artificial Intelligence XXXV [[electronic resource] ] : 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings / / edited by Max Bramer, Miltos Petridis |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIV, 454 p. 163 illus., 52 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Computer communication systems Algorithms Application software Artificial Intelligence Information Systems and Communication Service Computer Communication Networks Algorithm Analysis and Problem Complexity Computer Applications |
| ISBN | 3-030-04191-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Planning and Scheduling -- Machine Learning -- Industrial Applications of Artificial Intelligence -- Planning and Scheduling in Action -- Machine Learning in Action -- Applications of Machine Learning -- Applications of Agent Systems and Genetic Algorithms. |
| Record Nr. | UNISA-996466286603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence XXXV : 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings / / edited by Max Bramer, Miltos Petridis
| Artificial Intelligence XXXV : 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings / / edited by Max Bramer, Miltos Petridis |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIV, 454 p. 163 illus., 52 illus. in color.) |
| Disciplina |
006.31
006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Computer communication systems Algorithms Application software Artificial Intelligence Information Systems and Communication Service Computer Communication Networks Algorithm Analysis and Problem Complexity Computer Applications |
| ISBN | 3-030-04191-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Planning and Scheduling -- Machine Learning -- Industrial Applications of Artificial Intelligence -- Planning and Scheduling in Action -- Machine Learning in Action -- Applications of Machine Learning -- Applications of Agent Systems and Genetic Algorithms. |
| Record Nr. | UNINA-9910349391503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
