Table of Contents
Preface
Acknowledgments
vii
viii
Pre-Wirn workshop on Computational Intelligence Methodsfor
Bioinformatics and Bistatistics (CIBB)
1G. Aloisio, M. Cafaro, S. Fiore, M. Mirto, ProGenGrid: A Grid Framework for
Bioinformatics
2F. Baranti, V. Maggini, A. Micheli, A. Passare, A. Rossi, A. Starila, A preliminary
investigation on connecting genotype to orai cancer development through XCS
3F. Baudi, Mass Spectrometry Data Analysis for Early Detection of Inherited Breast
Cancer
4A. Bertoni, R. Folgieri, G. Valentini, Feature Selection combined with random
subspace ensemble for gene expression based diagnosis of malignancies
5P. Campadelli, E. Casiraghi, Pruning thè Nodule Candidate Set in Postero Anterior
Chest Radiographs
6A. Ceroni, P. Frasconi, A. Vullo, Protein Structure Assembly from Knowledge of Psheet Motifs and Secondary Structure
7G.B. Ferrara, L. Delfino, F. Masulli, S. Rovella, R. Sensi, Analysis of
Oligonucleotide Microarray Images using a fuzzy sets Approach in HLA Typing
8S. Pozzi, I. Zoppis, G. Maury Combinatorial and Machine Learning Approaches in
Clustering Microarray Data
9F. Ruffino, Gene expression data modeling and validation of gene selection methods
10A. Staiano et al., Mining Yeast Gene Microarray Data with Latent Variable Models
11M.J. Wood, J. D. Hirst, Recent Applications of Neural Networks in Bioinformatics
1
11
21
29
37
45
53
63
73
81
91
Pre-WIRN workshop on Computational Intelligence on Hardware: Algorithms,
Implementations and Applications (CIMAIA)
12D. Anguita, S. Ridella, F. Rivieccio, An Algorithm for Reducing thè Number of
Support Vectors
13A. Barbieri, S. Cagnoni, G. Colavolpe, Genetic Design of linear block errorcorrecting codes
14A. Boni, I. Lazzizzera, A. Zorat, Neural hardware based on kernel methods for
industriai and scientific applications
15D. Cauz, M. Giordani, G. Pauletta, M. Rossi, L.Santi, Statistical Leaming for
Parton Identification
16A. Chella, R. Rizzo, Time-Varying Signals Classification Using a Liquid State
Machine
17E. Pasero, W. Moniaci, T. Mendl, FPGA Based Statistical Data Mining Processor
18S. Vitabile et al., Neural Classification of HEP Experimental Data
99
107
117
125
133
141
149
WIRN Regalar Sessions
Architectures and Algorithms
19G. Aiello, et al., The Random Neural Network Model for thè On-line Multicast
Problem
20M. Filippone, F. Masulli, S. Rovella, ERAF: A R Package for Regression and
Forecasting
21T. Lorelo, G. Martinelli, Novel Pheromone Updaling Strategy for Speeding up
AGO Applied lo VRP
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155
175
Table of Contents
IV
Signal Processing
Hourly Forecasting of SO^ Pollutant Concentration Using an Elman
Neural Network
U. Brunelli, V. Piazza, L. Pignato, F. Sorbello, S. Vitabile..................
65
Nonlinear Exploratory Data Analysis Applied to Seismic Signals
Antonietta M. Esposito, Silvia Scarpetta, Flora Giudicepietro,
Stefano Masiello, Luca Pugliese, Anna Esposito.....................................
70
Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA
Filter
Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito...........
78
Intelligent Predictive Control of Micro Heat Exchanger
Mehdi Galily, Farzad Habibipour Roudsari, Masoum Fardis,
Ali Yazdian................................................................................................
83
Transient Power System Stabilizer Design Using Simple Neuron
Structure
Farzad Habibipour Roudsari, Behzad Jalaie, Mehdi Galily....................
90
Short Terra Locai Meteorologica! Forecasting Using Type-2 Fuzzy
Systems
Arianna Mencattini, Marcella Salmeri, Stefano Bertazzoni,
Roberto Lojacono, Eros Pasero, Walter Maniaci...................................
95
Learning and Data Driver Methods for Short Term Meteo Forecast
Eros Pasero, Walter Maniaci..................................................................
105
Automatic Dictionary Creation by Sub-symbolic Encoding of Words
Filippo Velia, Giovanni Filato, Ignazio Matisi,
Salvatore Caglio........................................................................................
113
V
Pattern Recognition
An Automatic Feature Based Face Authentication System
Stefano Arca, Paola Campadelli, Elena Casiraghi,
Raffaella Lanzarotti...................................................................................
120
On thè Preprocessing of Mass Spectrometry Proteomics Data
M. Cannataro, P.H. Guzzi, T. Mazza, G. Tradigo, P. Veltri................
127
VI
22N.N.B. Abdullah, M. Liquire, S.A. Certi, Inducing Communication Protocols from
Conversations in A Multi Agent System
23G. Filato, G.Vassallo, S. Caglio, WordNet and SemiDiscrete Decomposition for
Sub-symbolic Representation of Words
24R. Pizzi, A. Fantasia, D. Rossetti, G. Cino, F. Gelain and A. Vescovi, The Hopfield
and Kohonen Networks: An in vivo Test
25 F. Porterà, A. Sperduti, Support Vector Regression with a Generalized Quadratic
Loss
26 D. Vigliano, R.Parisi, A. Uncini, A Flexible ICA Approach to a Novel BSS
Convolutive Nonlinear Problem: Preliminary Results
183
191
199
209
217
Models
27B. Apolloni, S. Bassis, S. Gaito, D. Malchiodi, A. Minora, Computing Confidence
Intervals for thè Risk of a SVM Classifier through Algorithmic Inference
28B. Apolloni, S. Bassis, S. Gaito, D. lannizzi, D. Malchiodi, Learning Continuous
Functions through a New Linear Regression Method
29F. Camastra, A. Verri, A Novel Kernel Method for Clustering
30S. Hajek, Genetic Monte Carlo Markov Chains
31M. Muselli, F. Ruffino, Consistency of Empirica! Risk Minimization for
Unbounded Loss Functions
32M. Panella, G. Grisanti, A. Rizzi, A Probabilistic PCA Clustering Approach to thè
SVD Estimate of Signal Subspaces
33M. Pavan, M. Pelillo, Fasi Dominant-Set Clustering
34J.M. Santos, L.A. Alexandre, J.M. de Sa, Neural Network Classification Using
Error Entropy Minimization
225
235
245
251
261
271
281
291
Applications
35G. Antonio!, M. Ceccarelli, P. Petrillo, A. Petrosino, An ICA Approach to
Unsupervised Change Deection in Multispectral Images
36B. Azzerboni, M. Ipsale, F. La Foresta, N. Mammone, F.C. Morabito, A
Comparison of ICA Algorithms in Biomedicai Signal Processing
37B. Azzerboni, M. Ipsale, M. Carpentieri, F. La Foresta, Time-Frequency Analysis
for Characterizing EMG Signals During fMRI Acquisitions
38 I. Frosio, G. Ferrigno, N.A. Borghese, A Neural Algorithm for Object Positioning
in 3D Space Using Optoelectronic System
39I. Frosio, N.A. Borghese, Human Visual System Modelling for Real-Time Salt and
Pepper Noise Removal
40U. Maniscalco, Virtual Sensors to Support thè Monitoring of Cultura! Heritage
Damage
41G.L. Masala, A Computer Aided Analysis on Digital Images
42G. Monfardini, Recursive Neural Networks for thè Classification of Vehicles in
Image Sequences
43 M. Panella, F. Barcellona, A. Bersani, Neural Network in Modeling GlucoseInsulin Behavior
44C.M. Rocco, M. Muselli, Assessing thè Reliability of Communication Networks
Through Machine Learning Techniques
45M. Cacciola, D. Costantino, A. Greco, F. C. Morabito, M. Versaci, Dynamical
Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors
List ofContributors
299
313
321
329
337
343
351
359
367
375
383
391