Table of Contents

• Progengrid: A Grid Framework for BioinformaticsGiovanni Aloisio, Massimo Cafaro, Sandro Fiore, Maria Mirto. 1-9 [doi]
• A Preliminary Investigation on Connecting Genotype to Oral Cancer Development through XCSFlavio Baronti, Valentina Maggini, Alessio Micheli, Alessandro Passaro, Anna Maria Rossi, Antonina Starita. 11-19 [doi]
• Mass Spectrometry Data Analysis for Early Detection of Inherited Breast CancerFrancesco Baudi, Mario Cannataro, Rita Casadonte, Francesco Costanzo, Giovanni Cuda, Maria Concetta Faniello, Marco Gaspari, Pietro Hiram Guzzi, Tommaso Mazza, Barbara Quaresima, Pierosandro Tagliaferri, Giuseppe Tradigo, Pierangelo Veltri, Salvatore Venuta. 21-28 [doi]
• Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of MalignanciesAlberto Bertoni, Raffaella Folgieri, Giorgio Valentini. 29-35 [doi]
• Pruning the Nodule Candidate Set in Postero Anterior Chest RadiographsPaola Campadelli, Elena Casiraghi. 37-43 [doi]
• β -Sheet Motifs and Secondary StructureAlessio Ceroni, Paolo Frasconi, Alessandro Vullo. 45-52 [doi]
• Analysis of Oligonucleotide Microarray Images Using a Fuzzy Sets Approach in HLA TypingG. B. Ferrara, L. Delfino, Francesco Masulli, Stefano Rovetta, R. Sensi. 53-61 [doi]
• Combinatorial and Machine Learning Approaches in Clustering Microarray DataSergio Pozzi, Italo Zoppis, Giancarlo Mauri. 63-71 [doi]
• Gene Expression Data Modeling and Validation of Gene Selection MethodsFrancesca Ruffino. 73-79 [doi]
• Mining Yeast Gene Microarray Data with Latent Variable ModelsAntonino Staiano, Roberto Tagliaferri, Lara De Vinco, Angelo Ciaramella, Giancarlo Raiconi, Giuseppe Longo, Gennaro Miele, Roberto Amato, Carmine Del Mondo, Ciro Donalek, Giuseppe Mangano, Diego di Bernardo. 81-89 [doi]
• Recent Applications of Neural Networks in BioinformaticsMatthew J. Wood, Jonathan D. Hirst. 91-97 [doi]
• An Algorithm for Reducing the Number of Support VectorsDavide Anguita, Sandro Ridella, Fabio Rivieccio. 99-105 [doi]
• Genetic Design of Linear Block Error-Correcting CodesAlan Barbieri, Stefano Cagnoni, Giulio Colavolpe. 107-116 [doi]
• Neural Hardware Based on Kernel Methods for Industrial and Scientific ApplicationsAndrea Boni, Ignazio Lazzizzera, Alessandro Zorat. 117-123 [doi]
• Stratistical Learning for Parton IdentificationD. Cauz, M. Giordani, G. Pauletta, M. Rossi, L. Santi. 125-132 [doi]
• Time-Varying Signals Classification Using a Liquid State MachineAntonio Chella, Riccardo Rizzo. 133-139 [doi]
• FPGA Based Statistical Data Mining ProcessorEros Pasero, Walter Moniaci, Tassilo Meindl. 141-148 [doi]
• Neural Classification of HEP Experimental DataSalvatore Vitabile, Giovanni Pilato, Giorgio Vassallo, Sabato Marco Siniscalchi, Antonio Gentile, Filippo Sorbello. 149-155 [doi]
• The Random Neural Network Model for the On-Line Multicast ProblemGiovanni Aiello, Salvatore Gaglio, Giuseppe Lo Re, Pietro Storniolo, Alfonso Urso. 157-164 [doi]
• ERAF: A R Package for Regression and ForecastingMaurizio Filippone, Francesco Masulli, Stefano Rovetta. 165-173 [doi]
• Novel Pheromone Updating Strategy for Speeding up ACO Applied to VRPTommaso Loreto, Giuseppe Martinelli. 175-182 [doi]
• Inducing Communication Protocols from Conversations in a Multi Agent SystemNik Nailah Binti Abdullah, M. Liquire, Stefano A. Cerri. 183-189 [doi]
• Wordnet and Semidiscrete Decomposition for Sub-Symbolic Representation of WordsGiovanni Pilato, Giorgio Vassallo, Salvatore Gaglio. 191-198 [doi]
• in Vivo TestRita Pizzi, Andrea Fantasia, Danilo Rossetti, Giovanni Cino, Fabrizio Gelain, Angelo L. Vescovi. 199-207 [doi]
• Support Vector Regression with a Generalized Quadratic LossFilippo Portera, Alessandro Sperduti. 209-216 [doi]
• A Flexible ICA Approach to a Novel BSS Convolutive Nonlinear Problem: Preliminary ResultsDaniele Vigliano, Raffaele Parisi, Aurelio Uncini. 217-224 [doi]
• Computing Confidence Intervals for the Risk of A SVM Classifier through Algorithmic InferenceBruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, A. Minora. 225-234 [doi]
• Learning Continuous Functions through a New Linear Regression MethodBruno Apolloni, Simone Bassis, Sabrina Gaito, D. Iannizzi, Dario Malchiodi. 235-243 [doi]
• A Novel Kernel Method for ClusteringFrancesco Camastra, Alessandro Verri. 245-250 [doi]
• Genetic Monte Carlo Markov ChainsStefano Hajek. 251-259 [doi]
• Consistency of Empirical Risk Minimization for Unbounded Loss FunctionsMarco Muselli, Francesca Ruffino. 261-270 [doi]
• A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal SubspacesMassimo Panella, G. Grisanti, Antonello Rizzi. 271-279 [doi]
• Fast Dominant-Set ClusteringMassimiliano Pavan, Marcello Pelillo. 281-289 [doi]
• Neural Network Classification Using Error Entropy MinimizationJorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá. 291-297 [doi]
• An ICA Approach to Unsupervised Change Detection in Multispectral ImagesGiuliano Antoniol, Michele Ceccarelli, P. Petrillo, Alfredo Petrosino. 299-311 [doi]
• A Comparison of ICA Algorithms in Biomedical Signal ProcessingBruno Azzerboni, Maurizio Ipsale, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito. 313-320 [doi]
• Time-Frequency Analysis for Characterizing EMG Signals During fMRI AcquisitionsBruno Azzerboni, Maurizio Ipsale, Mario Carpentieri, Fabio La Foresta. 321-328 [doi]
• A Neural Algorithm for Object Positioning in 3D Space Using Optoelectronic SystemIuri Frosio, Giancarlo Ferrigno, N. Alberto Borghese. 329-335 [doi]
• Human Visual System Modelling for Real-Time Salt and Pepper Noise RemovalIuri Frosio, N. Alberto Borghese. 337-342 [doi]
• Virtual Sensors to Support the Monitoring of Cultural Heritage DamageUmberto Maniscalco. 343-350 [doi]
• A Computer Aided Analysis on Digital ImagesGiovanni Luca Masala. 351-357 [doi]
• Recursive Neural Networks for the Classification of Vehicles in Image SequencesGabriele Monfardini. 359-366 [doi]
• Neural Network in Modeling Glucose-Insulin BehaviorMassimo Panella, Francesco Barcellona, A. M. Bersani. 367-374 [doi]
• Assessing the Reliability of Communication Networks Through Maghine Learning TechniquesM. Claudio, S. Rocco, Marco Muselli. 375-381 [doi]
• Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak ReactorsMatteo Cacciola, Domenico Costantino, Antonino Greco, Francesco Carlo Morabito, Mario Versaci. 383-389 [doi]