Advances in Artificial Intelligence

Inhaltsverzeichnis

• Invited Talks.
• Planning with Stochastic Petri-Nets and Neural Nets.
• Data Mining Using Fractals and Power Laws.
• Full Papers.
• Voice Activity Detection Using Generalized Gamma Distribution.
• A Framework for Uniform Development of Intelligent Virtual Agents.
• A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences.
• An Efficient Hardware Implementation for AI Applications.
• Handling Knowledge-Based Decision Making Issues in Collaborative Settings: An Integrated Approach.
• Market Clearing Price Forecasting in Deregulated Electricity Markets Using Adaptively Trained Neural Networks.
• Adaptive-Partitioning-Based Stochastic Optimization Algorithm and Its Application to Fuzzy Control Design.
• Fuzzy Granulation-Based Cascade Fuzzy Neural Networks Optimized by GA-RSL.
• Using Self-similarity Matrices for Structure Mining on News Video.
• Spam Detection Using Character N-Grams.
• Improved Wind Power Forecasting Using a Combined Neuro-fuzzy and Artificial Neural Network Model.
• A Long-Term Profit Seeking Strategy for Continuous Double Auctions in a Trading Agent Competition.
• A Robust Agent Design for Dynamic SCM Environments.
• A Novel Updating Scheme for Probabilistic Latent Semantic Indexing.
• Local Additive Regression of Decision Stumps.
• Mining Time Series with Mine Time.
• Behaviour Flexibility in Dynamic and Unpredictable Environments: The ICagent Approach.
• Investigation of Decision Trees (DTs) Parameters for Power System Voltage Stability Enhancement.
• An Improved Hybrid Genetic Clustering Algorithm.
• A Greek Named-Entity Recognizer That Uses Support Vector Machines and Active Learning.
• Intelligent Segmentation and Classification of Pigmented Skin Lesions in Dermatological Images.
• Modelling Robotic Cognitive Mechanisms by Hierarchical Cooperative CoEvolution.
• Bayesian Feature Construction.
• Musical Instrument Recognition and Classification Using Time Encoded Signal Processing and Fast Artificial Neural Networks.
• O-DEVICE: An Object-Oriented Knowledge Base System for OWL Ontologies.
• Abduction for Extending Incomplete Information Sources.
• Post Supervised Based Learning of Feature Weight Values.
• Recognition of Greek Phonemes Using Support Vector Machines.
• Ensemble Pruning Using Reinforcement Learning.
• Mining Bilingual Lexical Equivalences Out of Parallel Corpora.
• Feed-Forward Neural Networks Using Hermite Polynomial Activation Functions.
• A Distributed Branch-and-Bound Algorithm for Computing Optimal Coalition Structures.
• Pattern Matching-Based System for Machine Translation (MT).
• Bayesian Metanetwork for Context-Sensitive Feature Relevance.
• Prediction of Translation Initiation Sites Using Classifier Selection.
• Improving Neural Network Based Option Price Forecasting.
• Large Scale Multikernel RVM for Object Detection.
• Extraction of Salient Contours in Color Images.
• Dynamic Security Assessment and Load Shedding Schemes Using Self Organized Maps and Decision Trees.
• Towards Automatic Synthesis of Educational Resources Through Automated Planning.
• Towards Capturing and Enhancing Entertainment in Computer Games.
• Employing Fujisaki’s Intonation Model Parameters for Emotion Recognition.
• Detection of Vocal Fold Paralysis and Edema Using Linear Discriminant Classifiers.
• Short Papers.
• An Artificial Neural Network for the Selection of Winding Material in Power Transformers.
• Biomedical Literature Mining for Text Classification and Construction of Gene Networks.
• Towards Representational Autonomy of Agents in Artificial Environments.
• Combining Credibility in a Source Sensitive Argumentation System.
• AnEnvironment for Constructing and Exploring Visual Models of Logic Propositions by Young Students.
• Bridging Ontology Evolution and Belief Change.
• A Holistic Methodology for Keyword Search in Historical Typewritten Documents.
• Color Features for Image Fingerprinting.
• Neural Recognition and Genetic Features Selection for Robust Detection of E-Mail Spam.
• Violence Content Classification Using Audio Features.
• An Analysis of Linear Weight Updating Algorithms for Text Classification.
• On Small Data Sets Revealing Big Differences.
• A Significance-Based Graph Model for Clustering Web Documents.
• Supporting Clinico-Genomic Knowledge Discovery: A Multi-strategy Data Mining Process.
• SHARE-ODS: An Ontology Data Service for Search and Rescue Operations.
• Graphical Representation of Defeasible Logic Rules Using Digraphs.
• An Efficient Peer to Peer Image Retrieval Technique Using Content Addressable Networks.
• Predicting Fraudulent Financial Statements with Machine Learning Techniques.
• Discrimination of Benign from Malignant Breast Lesions Using Statistical Classifiers.
• Comparison of Data Fusion Techniques for Robot Navigation.
• On Improving Mobile Robot Motion Control.
• Consistency of the Matching Predicate.
• Intrusion Detection Using Emergent Self-organizing Maps.
• Mapping Fundamental Business Process Modelling Language to OWL-S.
• Modeling Perceived Value of Color in Web Sites.
• Introducing Interval Analysis in Fuzzy Cognitive Map Framework.
• Discovering Ontologies for e-Learning Platforms.
• Exploiting Group Thinking in Organization-Oriented Programming.
• Multimodal Continuous Recognition System for Greek Sign Language Using Various Grammars.
• An Alternative Suggestion for Vision-Language Integration in Intelligent Agents.
• Specification of Reconfigurable MAS: A Hybrid FormalApproach.
• An Intelligent Statistical Arbitrage Trading System.
• Revising Faceted Taxonomies and CTCA Expressions.
• Neighboring Feature Clustering.