Note: Title Page -- Preface -- Conference Organization -- Table of Contents - Part II -- Engineering Knowledge and Semantic Systems -- Improving Effectiveness of Query Expansion Using Information Theoretic Approach -- Introduction -- Related Work -- Co-occurrence Approach -- Information-Theoretic Approach -- Description of Our Methodology -- Experiments -- Conclusions and Future Works -- References -- Defining Coupling Metrics among Classes in an OWL Ontology -- Introduction -- Our Contribution -- Related Work -- Our Proposal -- Case Study -- Conclusions and Future Work -- References -- Enterprise 2.0 and Semantic Technologies for Open Innovation Support -- Introduction -- Innovation Meets Enterprise 2.0 and Semantic Technologies -- Actors and Tools in the Corporate Scenario -- Innovation Process Stages and Idea Lifecycle -- The Individual Layer -- The Indirect Interaction Layer -- The Direct Interaction Layer -- Implementation Issues -- Evaluation Issues -- Conclusions and Future Work -- References -- Algorithmic Decision of Syllogisms -- Introduction -- Categorical Syllogisms -- Syllogistic Propositions -- Syllogistic Figures -- Algorithmic Representation -- Set-Theoretical Analysis -- Arithmetic Representation -- Algorithmic Decision -- Statistics about the Syllogistic System -- Fuzzy Syllogistic System -- Recognising Fallacies and Fuzzy Syllogistic Reasoning -- Conclusion -- References -- Matching Multilingual Tags Based on Community of Lingual Practice from Multiple Folksonomy: A Preliminary Result -- Introduction -- Semantic Grounding of Tags -- Identifying Individual Intelligence -- Tag-Based Information Retrieval -- Experimentation -- Evaluation of Multilingual Tag Matching -- Evaluation of Multilingual Resource Retrieval -- Discussion -- Concluding Remarks and Future Work -- References -- Ensemble Learning: Methods and Applications. , Multiclass Mineral Recognition Using Similarity Features and Ensembles of Pair-Wise Classifiers -- Introduction -- One Stage Classifiers -- Two Stage Classifiers -- Pair-Wise Classifiers -- Fusion Methods -- Data -- Results -- Conclusions and Remarks -- References -- Ensembles of Probability Estimation Trees for Customer Churn Prediction -- Introduction -- Methodology -- Probability Estimation Trees -- Ensemble Classification -- Lift -- Experimental Validation -- Data -- Experimental Settings -- Results -- Conclusion -- References -- Evolving Ensembles of Feature Subsets towards Optimal Feature Selection for Unsupervised and Semi-supervised Clustering -- Introduction -- Related Work on Feature Selection and Feature Ranking -- The Unsupervised Scenario -- The Semi-supervised Scenario -- Constructing an Ensemble of Near-Optimal Feature Subsets -- The Unsupervised Scenario -- The Semi-supervised Scenario -- Feature Selection -- Experiments -- Conclusion -- References -- Building a New Classifier in an Ensemble Using Streaming Unlabeled Data -- Random Projections for SVM Ensembles -- Introduction -- Random Projections -- Experiments -- Kappa-Error Analysis -- Conclusions -- References -- Introduction -- Ensemble Approach for Streaming Unlabeled Data -- Suspicious Streaming Data -- Ensemble Method Using Suspicious Streaming Samples -- Experiments -- Results on Synthetic Streaming Data -- Results on Intrusion Detection Data -- Discussion -- Conclusions -- References -- Rotation Forest on Microarray Domain: PCA versus ICA -- Introduction -- Rotation Forest -- Experimental Setting -- Experimental Results -- Conclusions -- References -- An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks -- Introduction -- Experimental Settings -- Results -- Diversity-Error Diagrams -- Conclusions -- References. , Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition -- Introduction -- Possible Conflicts for On Line CBD and System Decomposition -- Time Series Classifiers for Fault Identification -- Attribute and Class Selection via Possible Conflicts -- A Case Study -- Experimental Evaluation -- Conclusions and Further Work -- References -- Evolutionary Computation and Applications -- Entropy-Based Evaluation Relaxation Strategy for Bayesian Optimization Algorithm -- Introduction -- Related Work -- Entropy Measurement of Populations -- Entropy-Based Evaluation Relaxation Strategy for Bayesian Optimization Algorithm (eBOA) -- The Algorithm -- On-Demand Evaluation Strategy (ODES) -- Sporadic Evaluation -- Experiments and Discussion -- Test Problems -- Experimental Results -- Conclusion -- References -- A New Artificial Immune System for Solving the Maximum Satisfiability Problem -- Introduction -- Problem Formulation -- Artificial Immune Systems -- The Proposed Approach -- Experimental Results -- Conclusion -- References -- Power-Aware Multi-objective Evolutionary Optimization for Application Mapping on NoC Platforms -- Introduction -- IP Assignment and Mapping Problems -- Task Graph and IP Repository Models -- Power-Aware Multi-objective Evolutionary Approach -- Representation -- Assignment Evaluation -- Mapping Evaluation -- Results -- Conclusions -- References -- A Discrete Differential Evolution Algorithm for Solving the Weighted Ring Arc Loading Problem -- Introduction -- WRALP Definition -- The Proposed Discrete Differential Evolution Algorithm -- Results -- Conclusions -- References -- A Parallel Genetic Algorithm on a Multi-Processor System-on-Chip -- Introduction -- Multi-Processor System-on-Chip Platform -- Parallel Genetic Algorithm -- Topology Strategies -- Simulation Results -- Conclusions -- References. , The Influence of Using Design Patterns on the Process of Implementing Genetic Algorithms -- Introduction -- Genetic Algorithms -- Design Patterns -- Evaluation Methods -- The GATATest System -- Evaluation Study -- Summary -- References -- Fuzzy Systems and Applications -- Obtaining Significant Relations in L-Fuzzy Contexts -- Introduction -- Use of Linguistic Labels in L-Fuzzy Contexts -- Linguistic Variables -- Obtaining L-Fuzzy Contexts with Significant Relations -- L-Fuzzy Contexts with Anomalous Values -- Use of the Labels Associated with Objects and Attributes in L-Fuzzy Contexts with Anomalous Values -- Replacement of the Erroneous Values -- Conclusions -- References -- Knowledge Extraction Based on Fuzzy Unsupervised Decision Tree: Application to an Emergency Call Center -- Introduction -- Emergency Call Center Problem -- Decision Trees -- Unsupervised Decision Trees -- Fuzzy Clustering -- Quality Indexes -- Methodology -- Data Gathering and Pre-processing -- Initial Features Selection and Fuzzification -- FUDT Construction -- Experimental Results of FUDT -- Conclusions -- References -- Optimization of Embedded Fuzzy Rule-Based Systems in Wireless Sensor Network Nodes -- Introduction -- Distributed Architecture for Fuzzy Rule-Based System Embedded in Wireless Sensor Network -- Fuzzy Rule-Based System Embedded in Sensor Modular Structure Description -- Results -- Conclusions -- References -- An Algorithm for Online Self-organization of Fuzzy Controllers -- Introduction -- Online Self-organization of Fuzzy Controllers -- Stage One: Adaptation of the Rule Consequents -- Stage Two: Modification of the Topology -- Simulation Results -- Conclusions -- References -- A Mechanism of Output Constraint Handling for Analytical Fuzzy Controllers -- Introduction -- Mechanism of Output Constraint Handling -- Simulation Experiments -- Summary -- References. , Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm -- Introduction -- A Semantic Interpretability Index -- MFs Displacement Measure (δ) -- MFs Lateral Amplitude Rate Measure (γ) -- MFs Area Similarity Measure (ρ) -- Semantics Based Interpretability Index: Gm3m -- MOEA for Rule Selection and Tuning of FRBSs -- Coding Scheme and Initial Gene Pool -- Objectives -- Crossover and Mutation -- Main Characteristics of TSSP2−SI -- Analysis of the Performance of the Combined Action of Both, Rule Selection and Tuning -- Concluding Remarks -- References -- Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models -- Introduction -- Heteroskedasticity in Time Series Modeling -- Fuzzy Rule-Based Models for Time Series Analysis -- Test of Homoscedasticity of the Residuals of an FRBM -- Empirical Evaluation -- Conclusions and Final Remarks -- References -- Heuristic Methods and Swarm Intelligence for Optimization -- Heuristic Methods Applied to the Optimization School Bus Transportation Routes: A Real Case -- Introduction -- Literature Review -- The School Bus Problem -- The School Bus Problem -- Experiments and Results -- Results -- Conclusions and Future Works -- References -- Particle Swarm Optimization in Exploratory Data Analysis -- Introduction -- Particle Swarm Optimization -- PSO in Exploratory Data Analysis -- Principal Component Analysis -- Exploratory Projection Pursuit -- Principal Component Analysis with Q-Learning -- Topology Preserving Manifolds -- Conclusion -- References -- Using the Bees Algorithm to Assign Terminals to Concentrators -- Introduction -- Terminal Assignment Problem -- Bees Algorithm -- Results -- Conclusions -- References -- Multicriteria Assignment Problem -- Introduction -- Problem Statement. , Solving Scheme.

Note: Title Page -- Preface -- Organization -- Table of Contents - Part I -- Application Systems -- Tabu Search with Consistent Neighbourhood for Strip Packing -- Introduction -- Problem Formulation -- CTS: A Consistent Tabu Search for 2D-SPP -- Solving Scheme -- Search Space: A Direct Representation -- Initial Configuration -- Fitness Function -- Neighborhood and Search Strategy -- Tabu List -- Diversification -- CTS: The General Procedure -- Experimentations -- Experimentation Conditions -- Computational Results -- Conclusions -- References -- Transition State Layer in the Immune Inspired Optimizer -- Introduction -- Knowledge Gathering Process -- The Optimization Algorithm -- The New Transition State Layer -- Results -- Future Work -- References -- Improving Timetable Quality in Scheduled Transit Networks -- Introduction -- Problem Description -- Objective: Quality and Quantity of Transfer Opportunities -- Constraints -- Problem Formulation -- Notations -- Objective: Quality and Quantity of Transfer Opportunities -- Constraints -- Solution Approach -- Search Space and Preprocessing -- Neighborhood - TripShift -- Parameters of Tabu Search for the SbrT -- Experimentations and Numerical Results -- Data Instances -- Numerical Results -- Discussion -- Conclusion -- References -- An Investigation of IDA* Algorithms for the Container Relocation Problem -- Introduction -- Problem Description -- Existing Approaches -- Notation and Terminology -- Iterative Deepening A* -- Lower Bounds -- Probe Heuristics -- Experiments and Analysis -- Conclusions -- References -- MADS/F-Race: Mesh Adaptive Direct Search Meets F-Race -- Introduction -- Combining MADS and F-Race -- A General Overview of MADS -- The Hybrid of F-Race and MADS -- Implementation Details of MADS/F-Race -- Case Study: MADS/F-Race vs. MADS(fixed) -- Comparison of MADS/F-Race to Random MADS(fixed). , The Leave-One-Out Cross-Validation -- Comparison of MADS/F-Race to Tuned MADS(fixed) -- Comparison of MADS/F-Race and I/F-Race -- Conclusions -- References -- Application to Robotics -- An Improvement in Audio-Visual Voice Activity Detection for Automatic Speech Recognition -- Introduction -- Issues in Audio and Visual Voice Activity Detection -- Audio VAD -- Visual VAD -- Audio-Visual VAD -- Improved AV-VAD -- Audio VAD -- Visual VAD -- Audio-Visual VAD -- System Implementation -- HARK-Based Implementation Block -- The Second Layer AV Integration Block -- Evaluation -- Conclusion -- References -- Robust Ego Noise Suppression of a Robot -- Introduction -- System Overview -- Multi-channel Noise Reduction System [11] -- Single-Channel Template Subtraction System [4] -- MFT-Based Automatic Speech Recognition System -- Acoustic Feature Extraction -- MFM Generation -- MFT-ASR -- Results -- Summary and Outlook -- References -- Integrating a PDDL-Based Planner and a PLEXIL-Executor into the Ptinto Robot -- Introduction -- Deliberator Layer: PDDL Based-Planner -- Executor System: PLEXIL and Universal Executive -- Control System Architecture -- High Tier: PDDL-Like Planner -- Middle Tier: PLEXIL Executor -- Low Tier: Ptinto Hardware Control -- Conclusions and Future Work -- References -- Finding the Maximal Pose Error in Robotic Mechanical Systems Using Constraint Programming -- Introduction -- Optimization Problem Formulation -- End-Effector Pose without Joint Clearance -- Joint-Clearance Errors -- End-Effector Pose with Joint Clearances -- The End-Effector Pose Error Modeling -- The Maximum End-Effector Pose Error -- Constraint Programming -- Definitions -- Interval Analysis -- The Branch and Bound Algorithm -- Experiments -- Conclusion and Future Work -- References -- Down-Up-Down Behavior Generation for Interactive Robots -- Introduction. , Simulation Theory -- Architecture components -- Down-Up-Down Behavior Generation (DUD) -- Evaluation -- Conclusion -- References -- Music-Ensemble Robot That Is Capable of Playing the Theremin While Listening to the Accompanied Music -- Introduction -- Beat Tracking-Based Theremin Playing Robot -- Essential Functions for Music Robots -- System Architecture -- Algorithm -- Beat Tracking Based on Spectro-temporal Pattern Matching -- Theremin Pitch Control by Regression Parameter Estimation -- Experimental Evaluation -- Implementation on Humanoid Robot HRP-2 -- Experiment 1: The Influence of the Theremin on Beat Tracking -- Experiment 2: Theremin Ensemble with a Human Drummer -- Conclusion -- References -- Applications of Agent-Based Systems -- Self-organisation of an 802.11 Mesh Network -- Introduction -- Measuring Interference Cost -- Adjusting the Channels -- Results and Discussion -- Adjusting the Links -- Reactive Logic -- Second Path Reduction Algorithm -- Results and Discussion -- Conclusion and Future Work -- References -- Anomaly Detection in Noisy and Irregular Time Series: The "Turbodiesel Charging Pressure" Case Study -- Introduction -- The Case Study -- Off-Line Labeling -- On-Line Filtering -- Conclusions and Related Work -- References -- Safe Learning with Real-Time Constraints: A Case Study -- Introduction -- Hybrid Automata and Safety Verification -- Modeling -- Robotic Setup and Software Agents -- Control Agents as Hybrid Automata -- Empirical Analysis -- Discussion and Related Works -- References -- Intelligent Training in Control Centres Based on an Ambient Intelligence Paradigm -- Introduction -- A Multi-Agent System for Space Services -- On-Board Autonomy through Automated P& -- S Technology -- Spacecraft with On-Board Planning Capabilities -- The Joscar Timeline-Based Package -- Using Joscar for Onboard Replanning. , A Practical Case: Running the Demonstrator -- Discussion and Conclusions -- References -- Injecting On-Board Autonomy in a Multi-Agent System for Space Service Providing -- Introduction -- A Multi-Agent System for Space Services -- On-Board Autonomy through Automated P& -- S Technology -- Spacecraft with On-Board Planning Capabilities -- The JOSCAR Timeline-Based Package -- Using JOSCAR for Onboard Replanning -- A Practical Case: Running the Demonstrator -- Discussion and Conclusions -- References -- Applications to Business and Financial Markets -- Solving Portfolio Optimization Problem Based on Extension Principle -- Introduction -- The Problem -- The Solution Procedure -- Upper Bound V^U_\alpha -- Lower Bound V^L_\alpha -- Conclusion -- References -- Knowledge-Based Framework for Workflow Modelling: Application to the Furniture Industry -- Introduction -- Knowledge-Based Workflow Framework -- Price Estimation in Custom-Designed Furniture Industry -- Estimate Processing Times -- Product Design -- Assign Material Cost -- Assign Manufacturing Cost -- Framework Evaluation -- Conclusions -- References -- Decision Trees in Stock Market Analysis: Construction and Validation -- The Problem -- The Object Attribute Table -- Financial Indicators -- Processing of Financial Indicators: Transformed Data -- The Decision Trees -- Validation of the Decision Trees -- Conclusions and Future Work -- References -- An Intelligent System for Gathering Rates of Local Taxes on the Web -- Introduction -- Industrial Motivation -- Lack of Technological Solutions -- Summary of the Paper -- Methodological Issues -- From Legal Documents to Database Records -- Novelties in the Database Population Procedure -- From a Case Study to an Architecture Proposal -- Evidences -- Generalising the Approach -- Related Work and Employed Methods -- Conclusions and Further Work. , References -- Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market -- Introduction -- CO2RBFN for Time Series Forecasting -- Other Forecasting Methods -- Experimentation and Results -- Concluding Remarks -- References -- Applied Intelligent Systems for Future Classroom -- Processing Common Sense Knowledge to Develop Contextualized Computer Applications -- Introduction -- Processing Common Sense Knowledge -- Generator Module of ConceptNet -- Contexteller -- Steps to Create a Story -- Case Study -- Conclusions -- References -- Estimating the Difficulty Level of the Challenges Proposed in a Competitive e-Learning Environment -- Introduction -- The Adaptive QUESTOURnament System -- Genetic Algorithm to Estimate the Difficulty Level of the Challenges -- Design of the Genetic Algorithm -- The Fitness Function -- Experiments and Results -- Conclusions -- References -- Automatic Assessment of Students' Free-Text Answers with Support Vector Machines -- Introduction -- Architecture Overview -- Methods -- Data Preprocessing -- Feature Extraction -- SVM Classification -- Experiments and Results -- Experimental Data -- Evaluation Metric -- Experimental Results and Discussions -- Conclusion -- References -- On the Application of Planning and Scheduling Techniques to E-Learning -- Introduction and Motivation -- Mapping E-Learning to a Planning and Scheduling Model -- Planning and Scheduling Learning Routes -- Planning Stage -- Scheduling Stage -- Experimental Results -- Conclusions -- References -- A Fuzzy ANP Model for Evaluating E-Learning Platform -- Introduction -- Related Works -- The Methodology -- E-Learning Factors -- Fuzzy ANP Application -- Real Cases -- Conclusions -- References -- An Ontology-Based Expert System and Interactive Tool for Computer-Aided Control Engineering Education -- Introduction. , Domain of Study and Objectives of the Application.

Note: Intro -- Preface -- Organization -- Abstracts of Invited Tutorials -- Machine Learning with Scikit-Learn -- Computer Vision for Affective Computing -- Bayesian Optimization -- Abstracts of Invited Talks -- Building Computer Vision Systems that Really Work -- Face Analysis for Multimodal Emotional Interfaces -- Fun with Human-Machine Collaboration for Computer Vision -- Towards Human Behavior Modeling from (Big) Mobile Data -- Contents -- Part I -- Contents -- Part II -- Best Ranked Papers -- Towards a Joint Approach to Produce Decisions and Explanations Using CNNs -- 1 Introduction -- 2 Methodology -- 2.1 Proposed Architecture -- 2.2 Synthetic Dataset -- 2.3 Experiments -- 2.4 Experiments on Real Datasets -- 3 Results and Discussion -- 4 Conclusion -- References -- Interactive-Predictive Neural Multimodal Systems -- 1 Introduction -- 2 Interactive-Predictive Multimodal Pattern Recognition -- 2.1 Neural Architectures for Multimodal Sequence to Sequence Learning -- 2.2 Interactive-Predictive Pattern Recognition -- 2.3 Evaluation Metrics -- 2.4 Usage of the System and User Simulation -- 2.5 Description of the Systems -- 3 Results and Discussion -- 3.1 Quantitative Evaluation -- 3.2 Qualitative Analysis and Discussion -- 4 Related Work -- 5 Conclusions and Future Work -- References -- Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Uncertainty in Deep Learning -- 2.2 Rejection Methods -- 3 Uncertainty Measures from Black-Box Models -- 3.1 A Wrapper for Computing Aleatoric Heteroscedastic Uncertainty -- 3.2 Uncertainty Heuristics -- 4 Use Case and Results -- 5 Conclusions -- References -- Impact of Ultrasound Image Reconstruction Method on Breast Lesion Classification with Deep Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset. , 2.2 Ultrasound Image Reconstruction -- 2.3 Transfer Learning with Convolutional Neural Networks -- 2.4 Experiments and Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Segmentation of Cell Nuclei in Fluorescence Microscopy Images Using Deep Learning -- 1 Introduction -- 2 Proposed Approach -- 3 Experiments -- 3.1 Data -- 3.2 Training -- 3.3 Evaluation Criteria -- 3.4 Performance Comparison -- 4 Results -- 4.1 Nuclei Segmentation -- 4.2 F1 Score vs IoU Threshold -- 4.3 Computational Efficiency -- 5 Conclusions and Future Work -- References -- Food Recognition by Integrating Local and Flat Classifiers -- 1 Introduction -- 2 Proposed Method -- 2.1 Model Setup -- 2.2 Epistemic Uncertainty -- 2.3 Prediction by Integrating Local and Flat Classifiers -- 3 Experiments -- 3.1 Dataset -- 3.2 Metric -- 3.3 Experimental Setup -- 3.4 Results -- 4 Conclusions -- References -- Machine Learning -- Combining Online Clustering and Rank Pooling Dynamics for Action Proposals -- 1 Introduction -- 2 Related Work -- 3 Action Proposals Generation -- 3.1 Feature Extraction -- 3.2 Online Clustering for Action Proposals -- 3.3 Filtering Proposals -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Comparison with the State of the Art -- 4.3 Ablation Study -- 5 Conclusion -- References -- On the Direction Guidance in Structure Tensor Total Variation Based Denoising -- 1 Introduction -- 2 Background -- 3 Method -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Impact of Fused Visible-Infrared Video Streams on Visual Tracking -- 1 Introduction -- 2 Visual Trackers and Fusion -- 2.1 Reference Trackers -- 2.2 Fusion Strategies -- 3 Evaluation -- 3.1 Data Set to Subsets -- 3.2 Evaluation Metrics -- 3.3 Evaluation on Subsets -- 3.4 Fused Subsets Versus Domain Subsets -- 3.5 Special Case Analysis -- 4 Conclusion -- References. , Model Based Recursive Partitioning for Customized Price Optimization Analytics -- 1 Introduction -- 2 The Decision Tree Modeling Approach -- 2.1 CART Algorithm -- 2.2 CTREE Algorithm -- 2.3 Model Based Recursive Partitioning -- 3 The MOB Method for Pricing Analytics -- 4 Business Case Application -- 4.1 Data Description -- 4.2 MOB Modeling -- 4.3 Logistic Regression Modeling -- 4.4 Optimization and Revenue Results -- 5 Summary and Concluding Remarks -- References -- 3D Reconstruction of Archaeological Pottery from Its Point Cloud -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data Acquisition -- 3.1 Calibration -- 3.2 Scanning the Pottery -- 4 The Registration Process -- 4.1 Data Pre-processing -- 4.2 Features Extraction -- 4.3 Correspondence Matching -- 4.4 Global Registration -- 5 Discussion -- 6 Conclusion -- Acknowledgement -- References -- Geometric Interpretation of CNNs' Last Layer -- 1 Introduction -- 2 Background -- 2.1 Geometric Interpretation -- 3 Experiments and Results -- 3.1 Balanced Dataset -- 3.2 Unbalanced Dataset -- 4 Conclusions and Future Work -- References -- Re-Weighted 1 Algorithms within the Lagrange Duality Framework -- 1 Introduction -- 2 Methodology with Oracle -- 3 Solutions of the Dual Problem -- 4 RW1 with Projected Subgradient Algorithm -- 5 Methodology and Algorithm Without Oracle -- 6 Problem with Noise -- 7 Experimental Results -- 7.1 Results for the Noise-Free Setting -- 7.2 Results for the Noisy Setting -- 8 Conclusions -- References -- A Note on Gradient-Based Intensity Normalization -- Abstract -- 1 Introduction -- 2 Review -- 3 Material -- 4 Methodology -- 5 Results -- 6 Conclusions -- Acknowledgements -- References -- Blind Robust 3-D Mesh Watermarking Based on Mesh Saliency and QIM Quantization for Copyright Protection -- 1 Introduction -- 2 Background -- 2.1 3-D Mesh Saliency. , 2.2 Quantization Index Modulation -- 3 The Proposed Method -- 3.1 Watermark Embedding -- 3.2 Watermark Extraction -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Results Discussion -- 4.3 Comparison with Alternative Methods -- 5 Conclusion -- References -- Using Copies to Remove Sensitive Data: A Case Study on Fair Superhero Alignment Prediction -- 1 Introduction -- 2 Case Study -- 3 Methodological Proposal -- 3.1 Copying Machine Learning Classifiers -- 3.2 Using Copies to Remove Sensitive Data -- 4 Experiments -- 5 Discussion of Results -- 6 Conclusions and Future Work -- References -- Weighted Multisource Tradaboost -- 1 Introduction -- 2 Transfer Learning -- 3 State-of-the-Art -- 3.1 Multi-KT - Support Vector Machines svm -- 3.2 Transfer Learning Decision Forests (TLDF) tldf -- 3.3 TrAdaboost -- 4 Experimental Design -- 4.1 Method Hyperparameters -- 5 Results -- 6 Conclusion -- 6.1 Future Work -- References -- A Proposal of Neural Networks with Intermediate Outputs -- 1 Introduction -- 2 Standard Neural Network -- 3 Proposed Method -- 3.1 Backpropagation Based on the Proposed Variant of Cost Function -- 4 Experiments -- 5 Conclusions -- References -- Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Deep Learning Multilayer Perceptron -- 2.2 Classical Sampling Methods Used to Deal with the Class Imbalance Problem -- 3 Experimental Set-Up -- 4 Results and Discussion -- 5 Conclusion -- References -- Reinforcement Learning and Neuroevolution in Flappy Bird Game -- 1 Introduction -- 2 Related Work -- 3 Flappy Bird Game -- 4 Reinforcement Learning to Flappy Bird Game -- 4.1 Q-Learning to Flappy Bird Game -- 4.2 Performance Evaluation -- 5 Neuroevolution Applied to Flappy Bird Game -- 5.1 Genetic Optimization. , 5.2 Performance Evaluation -- 6 Conclusion -- References -- Pattern Recognition -- Description and Recognition of Activity Patterns Using Sparse Vector Fields -- 1 Introduction -- 2 Estimation of Multiple Vector Fields -- 3 Activity Pattern Labeling -- 4 Experimental Results -- 4.1 Synthetic Data -- 4.2 Real Data -- 5 Conclusion -- References -- Instance Selection for the Nearest Neighbor Classifier: Connecting the Performance to the Underlying Data Structure -- 1 Introduction -- 2 Categorization of Sample Types -- 3 Databases and Experimental Setting -- 4 Results and Discussion -- 5 Concluding Remarks -- References -- Modified DBSCAN Algorithm for Microscopic Image Analysis of Wood -- 1 Introduction -- 2 Materials and Methods -- 2.1 Wood Anatomy Database -- 2.2 Segmentation of Ray Cells -- 2.3 DBSCAN -- 2.4 Ray Width -- 2.5 Evaluation -- 3 Results -- 4 Conclusion -- References -- Automatic Detection of Tuberculosis Bacilli from Microscopic Sputum Smear Images Using Faster R-CNN, Transfer Learning and Augmentation -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Results -- 4 Conclusions -- Acknowledgement -- References -- Detection of Stone Circles in Periglacial Regions of Antarctica in UAV Datasets -- 1 Introduction -- 2 Data Acquisition -- 3 Detection Methods -- 3.1 Template Matching -- 3.2 Watershed -- 3.3 Sliding Band Filter -- 4 Results -- 4.1 Performance Measure -- 4.2 Statistical Evaluation -- 5 Conclusions -- References -- Lesion Detection in Breast Ultrasound Images Using a Machine Learning Approach and Genetic Optimization -- Abstract -- 1 Introduction -- 1.1 Modeling Lesions in Breast Ultrasound Images -- 1.2 Lesion Detection in Breast Ultrasound Images -- 1.3 Optimization of Machine Learning Methods with Genetic Algorithms -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Random Forest -- 2.3 Genetic Algorithms. , 2.4 Proposed Method.

Note: Title Page -- Preface -- Conference Organization -- Table of Contents - Part III -- Neural Network Applications -- Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises -- Introduction -- Description of the Hybrid Methodologies Proposed -- Binary Logistic Regression (LR) -- Logistic Regression Using Initial Covariates and Product Units (LRIPU) and Radial Basis Functions (LRIRBF) -- Computational Experiments and Results -- Alternative Statistical and Artificial Intelligence Methods Used for Comparison Purposes -- Results -- Discussion -- Conclusions -- References -- Design and Evaluation of Neural Networks for an Embedded Application -- Introduction -- Method -- Evaluation Parameters -- Behaviour on Specific Data Subsets -- Training Strategies -- Results on the Target Platform -- Classifier Selection -- Conclusion -- References -- Component Stress Evaluation in an Electrical Power Distribution System Using Neural Networks -- Introduction -- Normal Behavior Models -- Anomaly Detection by the Normal Behavior Models and Stress Evaluation -- Detection of Anomalous Behavior in Circuit Breakers by Self-organised Maps -- Conclusions -- References -- Combining Adaptive with Artificial Intelligence and Nonlinear Methods for Fault Tolerant Control -- Introduction -- Background -- Model Reference Adaptive Control -- Neural Networks -- Genetics Algorithms -- Sliding Mode Control -- Proposed Scheme -- Experiments and Results -- Conclusions -- References -- Recognition and Generation of Sentences through Self-organizing Linguistic Hierarchy Using MTRNN -- Introduction -- Language Learning Model -- Language Learning Experiment -- Experimental Procedure -- Results -- Analysis -- Conclusion -- References -- Neural Dynamic Matrix Control Algorithm with Disturbance Compensation -- Introduction. , Model Predictive Control Algorithms -- Neural Dynamic Matrix Control -- Optimisation of the Control Policy -- Simulation Results -- Conclusions -- References -- New Frontiers in Data Analysis, Optimization and Visualization for Bioinfomatics and Neuroscience -- The Fuzzy Gene Filter: An Adaptive Fuzzy Inference System for Expression Array Feature Selection -- Introduction -- GeneRanking -- Classical Gene Ranking Techniques -- Fuzzy Gene Filter -- Comparative Metrics -- Separability Index -- Cross-Validation -- Implementation -- Results -- Conclusion -- References -- Intelligent Network Management for Healthcare Monitoring -- Introduction -- The Multi-agent System for Safety Critical Processes -- The NM-WSN Application Development Overview -- The Three-Tier NM Organisational Model -- Event Correlation Techniques -- Conclusion and Future Plans -- References -- S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework -- Introduction -- Modular Multi-Relational Framework Applied to Yeast Complex Function Prediction -- Results and Discussion -- Experimental Design -- Results and Analysis -- Conclusions and Further Work -- References -- Integrative Data Mining in Functional Genomics of Brassica napus and Arabidopsis thaliana -- Introduction -- The Biological Problems and Solutions -- Endosperm of Brassica napus -- Defense Response in Arabidopsis thaliana -- Results -- Endosperm of Brassica napus -- Defense Response in Arabidopsis thaliana -- Result Integration into the Knowledge Base -- Discussion and Conclusion -- References -- Data Integration and Knowledge Discovery in Life Sciences -- Introduction -- Integrative Approach to Informative Gene Identification from Gene Expression Data -- A Multi-strategy Approach with Integration of Prior Knowledge. , Transcriptomics and Proteomics Integration: A Framework Using Global Proteomic Discovery to Complement Transcriptomics Discovery -- Integrative Data Analysis for Gene Set Biomarker and Disease Target Discovery -- Conclusion -- References -- Computer Assisted Identification, Segmentation and Quantification of Synapses in the Cerebral Cortex -- Introduction -- Background -- System Description -- 3D Navigation -- 3D Synapse Segmentation -- 3D Synapse Reconstruction -- Implementation Description -- Conclusions and Future Work -- References -- Association Rules to Identify Receptor and Ligand Structures through Named Entities Recognition -- Introduction -- Contextualization -- RDD Characteristics -- Data Collection -- Annotation -- Data Mining -- Preprocessing -- Mining -- Post-processing -- Application and Results -- Conclusions and Future Work -- References -- A Model for Generating Synthetic Dendrites of Cortical Neurons -- Introduction -- Dendritic Morphologies of Pyramidal Cells -- Methodological Approach -- Dendrite Sampler -- Model Construction -- Experimental Results -- Conclusions -- References -- A New Incremental Growing Neural Gas Algorithm Based on Clusters Labeling Maximization: Application to Clustering of Heterogeneous Textual Data -- Introduction -- Clustering Quality Evaluation and Cluster Labeling -- First Experiments and Results -- Novel Adaptations of the IGNG and I2GNG Algorithms -- Conclusion -- References -- Synergies between Network-Based Representation and Probabilistic Graphical Models for Classification, Inference and Optimization Problems in Neuroscience -- Introduction -- Networks -- Probabilistic Modeling of Network Sets -- Classification -- Inference -- Optimization -- NetworkAnalysisofPGMs -- Classification -- Inference -- Optimization -- Applications in Neuroscience -- Applications to Classification Problems. , Applications to Inference Problems -- Applications to Optimization Problems -- Conclusion and Future Work -- References -- Modeling Short-Time Parsing of Speech Features in Neocortical Structures -- Introduction -- The Generalized Neuromorphic Computing Unit -- Neuromorphic Hierarchical Architecture for Speech Processing -- Results -- Discussion and Conclusions -- References -- Optimization and Heuristic Search -- Optimizing the Number of Airfoils in Turbine Design Using Genetic Algorithms -- Introduction -- Problem Description -- Genetic Algorithm -- Case Study and Experimental Results -- Conclusions and Future Work -- References -- Branch and Bound Algorithm for a Single Vehicle Routing Problem with Toll-by-Weight Scheme -- Introduction -- Problem Description and Literature -- Lower Bound -- Branch-and-Bound Algorithm -- Computational Experiments -- Conclusions -- References -- Near Optimal Secret Sharing for Information Leakage Maximization -- Introduction -- Problem Formulation -- Problem Formulation of the ATSS Model -- Solution Approach -- The Lagrangean Relaxation-Based Algorithm -- The Lagrangean Relaxation Problem -- Getting Primal Feasible Solutions -- Computation Experiments -- Experiment Environment -- Computation Experiments with the ATSS Model -- Discussion of Results -- Conclusion -- References -- Solving Non-Stationary Bandit Problems by Random Sampling from Sibling Kalman Filters -- Introduction -- The Non-Stationary Multi-Armed Normal Bandit Problem -- Contributions and Paper Organization -- Related Work -- Kalman Filter Based Solution to Non-Stationary Normal Bandit Problems (KF-MANB) -- Empirical Results -- Conclusion and Further Work -- References -- A Learning Automata Based Solution to Service Selection in Stochastic Environments -- Introduction -- Modeling the Problem -- A LA-Based Solution to the ATTP. , The Decision Making Phase -- Experimental Results -- Performance in Static Environments VS Dynamic Environments -- Immunity to the Proportion of Fair Agents -- Conclusion -- References -- AC2001-OP: An Arc-Consistency Algorithm for Constraint Satisfaction Problems -- Definitions -- AC2001/3.1 -- AC2001-OP -- Experimental Results -- Domain-Oriented Benchmark Problems -- Random Problems -- Conclusions -- References -- Real Life Applications -- NFC Solution for the Development of Smart Scenarios Supporting Tourism Applications and Surfing in Urban Environments -- Introduction -- A NFC Model for City Navigation -- Augmented Environments with Smart Posters -- Application to Tourism Surfing at Cordoba City -- Discussion and Remarks -- References -- Communication Support Visual Interface for Collaborative Learning -- Introduction -- Approach -- Round-Table Interface -- Focusing Intention for Utterances -- Display Method of Utterances -- System Operation -- Experiment -- Experimental Setting -- Experimental Result -- Conclusion -- References -- Violin Fingering Estimation Based on Violin Pedagogical Fingering Model Constrained by Bowed Sequence Estimation from Audio Input -- Introduction -- Modeling and Classifying the Bowed String -- Adaptation of the Acoustic Model -- Context-Dependent Error Correction -- Rule 1: Consistency of Direction of Pitch/String Change -- Rule 2: Consistency of Magnitude of Pitch/String Change -- Rule 3: Consistency of Bowed Strings on a Mordent -- Violin Fingering Estimation -- Formulation of the Fingering Estimation Problem -- Features -- Experiments -- Experiment 1: Bowed String Estimation -- Experiment 2: Playability of Fingering Estimator -- Discussion -- Conclusion -- References -- Intelligent Processing of K-Nearest Neighbors Queries Using Mobile Data Collectors in a Location Aware 3D Wireless Sensor Network -- Introduction. , Related Work.

Note: Intro -- Preface -- Organization -- Contents -- Pattern Recognition and Machine Learning -- Ordinal Class Imbalance with Ranking -- 1 Introduction -- 2 Method -- 2.1 Ordinal Classification -- 2.2 Ranking for Ordinal Class Imbalance -- 2.3 Threshold for Ordinal Classes -- 3 Experiments -- 3.1 Evaluation Metrics -- 3.2 Data -- 3.3 Models -- 4 Results -- 5 Conclusion -- References -- Performance Metrics for Model Fusion in Twitter Data Drifts -- 1 Introduction -- 2 Background -- 2.1 Ensembles -- 2.2 Social Networks: Twitter Case Study -- 3 Proposed Approach -- 4 Experimental Setup -- 5 Experimental Results -- 6 Conclusions -- References -- Online Learning of Attributed Bi-Automata for Dialogue Management in Spoken Dialogue Systems -- 1 Introduction -- 2 Attributed Probabilistic Finite State Bi-Automata as Dialogue Manager -- 2.1 Interactive Pattern Recognition Framework -- 2.2 Probabilistic Finite State Bi-Automata -- 2.3 Dealing with Unseen Situations -- 2.4 Modeling the Dialogue Manager -- 2.5 Modeling the User -- 3 Online Learning -- 4 Setup and Experiments -- 4.1 Corpus Description -- 4.2 Impact of the Attributes and the User Model -- 4.3 Online Learning Procedure -- 5 Conclusions and Future Work -- References -- Log-Linear Weight Optimization Using Discriminative Ridge Regression Method in Statistical Machine Translation -- 1 Introduction -- 2 Related Work -- 3 Discriminative Rigde Regression for SMT -- 3.1 Sentence-Based Optimisation in DRR -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Corpora -- 4.3 Comparison Between DRR and MERT and MIRA -- 5 Conclusion and Future Work -- References -- Deep Convolutional Neural Networks and Maximum-Likelihood Principle in Approximate Nearest Neighbor Search -- Abstract -- 1 Introduction -- 2 Proposed Algorithm -- 3 Experimental Results -- 4 Conclusion -- Acknowledgements -- References. , BMOG: Boosted Gaussian Mixture Model with Controlled Complexity -- 1 Introduction -- 2 Selection of Color Space -- 3 Background Model -- 3.1 Pixel Classification with Hysteresis -- 3.2 Dynamic Learning Rate -- 3.3 Embedded Post-processing -- 4 Experimental Setup -- 5 Results and Discussion -- 6 Conclusion -- References -- Measuring the Quality of Annotations for a Subjective Crowdsourcing Task -- 1 Introduction -- 2 Definition of the Task and the Annotation Procedure -- 3 Measuring the Annotations Quality -- 3.1 Measures Related to the Time Employed in the Annotation -- 3.2 Measures Related to the Interannotator Agreement -- 3.3 Measures Related to the Given Responses -- 3.4 Algorithm for the Detecion of Low Quality Data -- 4 Experiments and Results -- 5 Conclusions -- References -- Pre-trained Convolutional Networks and Generative Statistical Models: A Comparative Study in Large Datasets -- 1 Introduction -- 2 Methodology -- 2.1 Cross-Validation Scheme and Testing -- 3 Results -- 4 Conclusion -- References -- Simple and Effective Multi-word Query Spotting in Handwritten Text Images -- 1 Introduction -- 2 Single-Word Probabilistic Indexing -- 3 Multi-keyword Spotting -- 4 Experimental Setup -- 4.1 Dataset -- 4.2 Query Selection -- 4.3 KWS Evaluation Measures -- 4.4 System Setup -- 5 Results and Discussion -- 6 Demonstration System -- 7 Remarks, Conclusion and Future Work -- References -- Computer Vision -- Recognizing Activities of Daily Living from Egocentric Images -- 1 Introduction -- 2 Activity Classification -- 3 Dataset -- 4 Methodology -- 4.1 Ensemble Configurations -- 5 Results -- 6 Conclusion -- References -- Strategies of Dictionary Usages for Sparse Representations for Pedestrian Classification -- 1 Introduction -- 2 Methodology -- 3 Experiments -- 3.1 Results -- 4 Conclusions -- References -- What Do Datasets Say About Saliency Models?. , 1 Introduction -- 2 Datasets, Models and Relative Performance -- 2.1 Selection of Computational Saliency Models -- 2.2 Measures of Relative Performance -- 3 Our Approach -- 3.1 Video Clustering -- 3.2 Gaining Further Insights -- 4 Results -- 5 Conclusions -- References -- Combining Defocus and Photoconsistency for Depth Map Estimation in 3D Integral Imaging -- 1 Introduction -- 2 Overview of Integral Imaging -- 3 Depth Estimation Approaches -- 3.1 Depth Estimation Using Variance Minimisation -- 3.2 Combining Defocus and Correspondence for Depth Estimation -- 3.3 Depth Regularisation -- 4 Results -- 5 Conclusions -- References -- Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection -- 1 Introduction -- 2 Proposed Method -- 2.1 Datasets and Proposals Extraction -- 2.2 Input Channels -- 2.3 Convolutional Neural Networks -- 2.4 CNN Architecture -- 2.5 Ensemble Classification -- 3 Experiments -- 3.1 Caltech Dataset -- 3.2 INRIA Dataset -- 3.3 Results -- 4 Discussion and Conclusions -- References -- Human Pose Estimation by a Series of Residual Auto-Encoders -- 1 Introduction -- 2 Related Work -- 3 Person Pose Estimation -- 3.1 Model Architecture -- 4 Implementation, Tests and Results -- 4.1 Implementation Details -- 4.2 Datasets and Quantitative Analysis -- 5 Conclusions -- References -- Context-Aware Distance for Anomalous Human Trajectories Detection -- 1 Introduction -- 2 Method -- 2.1 Features Extraction -- 2.2 Configurable Distance -- 2.3 Unsupervised Learning -- 2.4 Outliers Detection -- 3 Experiments -- 3.1 INVISUM Data Base -- 3.2 BARD Data Set -- 4 Conclusions -- References -- A Historical Document Handwriting Transcription End-to-end System -- 1 Introduction -- 2 System Overview -- 2.1 Preprocessing -- 2.2 Layout Analysis -- 2.3 Handwritten Text Recognition -- 2.4 Computer Assisted Transcription of Text Images. , 3 The RSEAPV Database -- 4 Experimental Framework -- 4.1 System Setup -- 4.2 Assessment Measures -- 5 Empirical Results -- 6 Conclusions and Future Work -- References -- Image and Signal Processing -- Interactive Layout Detection -- 1 Introduction -- 2 Interactive Layout Analysis -- 3 Experiments and Results -- 3.1 Corpus -- 3.2 Evaluation Measures -- 3.3 Models -- 3.4 Results -- 4 Conclusions and Future Work -- References -- Impact of the Acquisition Time on ECG Compression-Based Biometric Identification Systems -- 1 Introduction -- 1.1 Motivation -- 1.2 Database Used -- 1.3 Compression-Based Measures -- 2 Method -- 2.1 R-peak Detection -- 2.2 Quantization -- 2.3 Compressing Using Finite-Context Models -- 3 Experimental Results -- 4 Conclusions and Future Work -- References -- Z-Images -- 1 Introduction -- 2 Zeckendorf Encoding -- 2.1 Zeckendorf's Theorem -- 2.2 Z-Representation -- 3 Proposed Algorithm for Z-Coding -- 4 Results and Discussion -- 5 Conclusion -- References -- Oversegmentation Methods: A New Evaluation -- 1 Introduction -- 2 State-of-the-Art Methods -- 3 New Oversegmentation Evaluation Benchmark -- 4 Experimental Results -- 5 Conclusion and Perspectives -- References -- ASARI: A New Adaptive Oversegmentation Method -- 1 Introduction -- 2 ASARI: A Region Merging Algorithm -- 3 Experimental Results -- 4 Conclusion -- References -- A New Normalized Supervised Edge Detection Evaluation -- 1 Importance of a New Error Measure -- 2 Supervised Image Contour Evaluations -- 2.1 Error Measures Involving Only the Confusion Matrix -- 2.2 Assessment Involving Distances of Misplaced Pixels -- 2.3 Normalization of the Edge Detection Evaluation -- 3 Experimental Results -- 4 Conclusion and Future Works -- References -- Medical Image -- Similarity Metrics for Intensity-Based Registration Using Breast Density Maps -- 1 Introduction -- 2 Methodology. , 2.1 Registration Methods -- 2.2 Similarity Metrics -- 2.3 Metric Evaluation -- 3 Results -- 4 Discussion and Conclusion -- References -- Registration of Breast Surface Data Before and After Surgical Intervention -- 1 Introduction -- 2 Proposed Methodology -- 3 Experimental Results -- 4 Conclusions -- References -- Visualization of Distinct DNA Regions of the Modern Human Relatively to a Neanderthal Genome -- 1 Introduction -- 2 Method -- 2.1 Choosing the Model -- 2.2 Algorithm -- 2.3 Implementation -- 3 Results -- 4 Conclusions -- References -- Transfer Learning with Partial Observability Applied to Cervical Cancer Screening -- 1 Introduction -- 2 Proposed Method -- 2.1 Partial Model Transfer: Sign Regularization -- 3 Experiments -- 3.1 Risk Factors -- 3.2 Quality Assessment -- 4 Conclusions -- References -- Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy -- 1 Introduction -- 2 Preliminary Definitions -- 2.1 Investigative Techniques -- 2.2 Injuries -- 3 Proposed Methodology -- 3.1 Deep Learning Strategies -- 3.2 Strategy Based on Hand-Crafted Features -- 4 Experiments -- 5 Conclusions -- References -- On the Approximation of the Kolmogorov Complexity for DNA Sequences -- 1 Introduction -- 2 Methods -- 2.1 Assessment of Normality -- 2.2 Complexity of Genomes -- 3 Results -- 4 Conclusions -- References -- Prediction of Breast Deformities: A Step Forward for Planning Aesthetic Results After Breast Surgery -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Database -- 2.2 Regression Models -- 3 Experimental Results -- 3.1 Optimization of Regression Models -- 3.2 Prediction of Ptosis, Turn and Top-Shape Deformations -- 4 Conclusions -- References -- Applications -- Staff-Line Detection on Grayscale Images with Pixel Classification -- 1 Introduction -- 2 Staff-Line Detection on Grayscale Images with Pixel Classification. , 3 Experimentation.