Eduardo R. Caianiello Lecture -- Kernel Methods for Clustering -- Models -- A New Neural Network Model for Contextual Processing of Graphs -- Approximation Properties of Positive Boolean Functions -- Switching Neural Networks: A New Connectionist Model for Classification -- Architectures and Algorithms -- Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms -- Recursive Neural Networks and Graphs: Dealing with Cycles -- A System for Transmitting a Coherent Burst of Activity Through a Network of Spiking Neurons -- NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information -- A Recurrent ICA Approach to a Novel BSS Convolutive Nonlinear Problem -- Signal Processing -- Hourly Forecasting of SO2 Pollutant Concentration Using an Elman Neural Network -- Nonlinear Exploratory Data Analysis Applied to Seismic Signals -- Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA Filter -- Intelligent Predictive Control of Micro Heat Exchanger -- Transient Power System Stabilizer Design Using Simple Neuron Structure -- Short Term Local Meteorological Forecasting Using Type-2 Fuzzy Systems -- Learning and Data Driver Methods for Short Term Meteo Forecast -- Automatic Dictionary Creation by Sub-symbolic Encoding of Words -- Pattern Recognition -- An Automatic Feature Based Face Authentication System, -- On the Preprocessing of Mass Spectrometry Proteomics Data -- Clustering Causal Relationships in Genes Expression Data -- Application of E?Nets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition -- Fuzzy and Neurofuzzy Computing -- Granular Regression -- Fuzzy Logic Activities at the Microelectronics Institute of Seville -- Generalized Fuzzy Similarity Indexes -- Environmental Time Series Prediction by Improved Classical Feed-Forward Neural Networks -- New Similarity Rules for Mining Data -- Image File Compression Using Region Growing and Interpolation -- Fuzzy Connectivity and Its Application to Image Segmentation -- Soft Rank Clustering -- Natural Immune Systems -- An Evolution Hypothesis of Bacterial Populations -- Modelling the Immune System with Situated Agents -- Current Paradigms in Immunology -- Supporting Collaborative Knowledge Work: A Methodology for Developing ICT Tools for Biomedical Research -- Profiling Network Attacks Via AIS -- Fuzzy Continuous Petri Net-Based Approach for Modeling Immune Systems -- A General Learning Rule for Network Modeling of Neuroimmune Interactome -- Artificial Immune Systems -- On Diversity and Artificial Immune Systems: Incorporating a Diversity Operator into aiNet -- Lipschitzian Pattern Search and Immunological Algorithm with Quasi-Newton Method for the Protein Folding Problem: An Innovative Multistage Approach -- A Clonal Selection Algorithm for Coloring, Hitting Set and Satisfiability Problems -- Artificial Immune-Based Optimization Technique for Solving Economic Dispatch in Power System -- Securing IPv6-Based Mobile Ad Hoc Networks Through an Artificial Immune System -- Challenges for Artificial Immune Systems.