Title page -- Preface -- Contents -- Models -- Bridging the Gap Between Neural Network and Kernel Methods: Applications to Drug Discovery -- Switching Neural Network: An Application to Regression Problems -- A Group Selection Evolutionary Extreme Learning Machine Approach for Time-Variant Neural Networks -- IPRA: Regressing Data with Independent Parameters -- A Combinatoric Biclustering Algorithm -- Learning Functional Linkage Networks with a Cost-Sensitive Approach -- An Intraday Trading Model Based on Artificial Immune Systems -- Iterative Algorithms for Detecting Mortality Trends in the Family of Lee Carter Models -- Signal Processing -- A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments -- A Pre-Filtering and Post-Filtering Approach to Blind Source Separation -- Remarks About Wavelet Analysis in the EEG Artifacts Detection -- Data Fusion with Entropic Priors -- Application of Self Organizing Maps to Multi-Temporal and Multi-Spectral Satellite Images: Classification and Change Detection -- Higher Order Based Image Deconvolution in Electromagnetic Non Destructive Evaluation of Metallic Materials -- Applications -- Context Analysis in microRNA Data: A Rosetta Stone Approach -- Creating Long Gait Animation Sequences Through Reinforcement Learning -- A Comparison Study for a Neural Network Based Embedded Appliance -- ICA Based Algorithms for Flaw Classification in Pulsed Eddy Current Data: A Study -- Soft Sensor Based on E-alphaNETs -- A Neural Network Hybrid Recommender System -- A Neural-Based Algorithm for Landslide Detection at Stromboli Volcano: Preliminary Results -- Special Session "The Dynamics of Biological Networks" -- Analysis of Attractor Distances in Random Boolean Networks -- Cell Differentiation in Noisy Random Boolean Network.

Dynamics and Storage Capacity of Neural Networks with Small-World Topology -- An Introduction to Spectral Distances in Networks -- A Study on Gene Regulatory Network Reconstruction and Simulation -- The Influence of the Residence Time on the Dynamics of Catalytic Reaction Networks -- Machine Learning and Personalized Modeling for Diagnosis of Acute GvHD: An Integrated Approach -- Discovering Network Phenomena in the Epileptic Electroencephalography Through Permutation Entropy Mapping -- Special Session COST 2102 - "Nonlinear Systems for Multimodal Human-Machine Interaction" -- Multimodal Interaction: Methods and Applications for Joint Cooperation Between Humans and Cognitive Systems -- Multichannel Cepstral Domain Feature Warping for Robust Speech Recognition -- Template Protection for Security Enhancement of a Biometric Face Authentication System -- The Cross-Modal and Cross-Cultural Processing of Affective Information -- Multi-Modal Analysis of Decision Making in the Prisoner's Dilemma Game -- Demonstration Based Policy Learning in a Reduced Driving Environment -- Approximate Spreading Activation for Efficient Knowledge Retrieval from Large Datasets -- Subject Index -- Author Index.