Nicola Ancona

发表

SVD Based Feature Selection and Sample Classification of Proteomic Data

Annarita D'Addabbo, Massimo Papale, Salvatore Di Paolo, 2008, KES.

Visual recognition of hexagonal headed bolts by comparing ICA to wavelets

Nicola Ancona, Ettore Stella, Arcangelo Distante, 2003, Proceedings of the 2003 IEEE International Symposium on Intelligent Control.

Sparse representations and performances in support vector machines

Nicola Ancona, Ettore Stella, Rosalia Maglietta, 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..

A model-based 3-D vision system for bin-picking

Nicola Ancona, Giovanni Attolico, Ettore Stella, 1988 .

Goal detection in football by using support vector machines for classification

Nicola Ancona, Arcangelo Distante, Grazia Cicirelli, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Selection of relevant genes in cancer diagnosis based on their prediction accuracy

Graziano Pesole, Nicola Ancona, Sabino Liuni, 2007, Artif. Intell. Medicine.

HT-RLS: High-Throughput Web Tool for Analysis of DNA Microarray Data Using RLS classifiers

Mattia D'Antonio, Graziano Pesole, Annarita D'Addabbo, 2008, 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID).

Object detection in images: run-time complexity and parameter selection of support vector machines

Nicola Ancona, Ettore Stella, Arcangelo Distante, 2002, Object recognition supported by user interaction for service robots.

Image analysis and synthesis by learning from examples

Nicola Ancona, Sandra Brunetta, 1996 .

A time-to-crash detector based on area expansions: Example of an opto-motor reflex

Nicola Ancona, Maurizio Romano, N. Ancona, 1993 .

Ball detection in static images with Support Vector Machines for classification

Nicola Ancona, Ettore Stella, Arcangelo Distante, 2003, Image Vis. Comput..

Real-time control of a mobile robot by using visual stimuli

Nicola Ancona, Antonella Branca, N. Ancona, 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

A Fast Obstacle Detection Method based on Optical Flow

Nicola Ancona, 1992, ECCV.

Statistical assessment of functional categories of genes deregulated in pathological conditions by using microarray data

Graziano Pesole, Domenico Catalano, Nicola Ancona, 2007, Bioinform..

Neural Network Ensemble and Support Vector Machine Classifiers: An Application to Remote Sensed Data

Palma Blonda, Annarita D'Addabbo, Nicola Ancona, 2003, WILF.

Regularized Least Squares Cancer Classifiers from DNA microarray data

Graziano Pesole, Annarita D'Addabbo, Nicola Ancona, 2005, BMC Bioinformatics.

Comparative study of gene set enrichment methods

Annarita D'Addabbo, Nicola Ancona, Rosalia Maglietta, 2009, BMC Bioinformatics.

Door detection in images based on learning by components

Tiziana D'Orazio, Nicola Ancona, Grazia Cicirelli, 2001, SPIE Optics East.

An Invariance Property of Predictors in Kernel-Induced Hypothesis Spaces

Nicola Ancona, Sebastiano Stramaglia, S. Stramaglia, 2006, Neural Computation.

Prediction of Crohn's Disease by Profiles of Single Nucleotide Polymorphisms

Annarita D'Addabbo, Nicola Ancona, Orazio Palmieri, 2008, KES.

Association of genetic profiles to Crohn's disease by linear combinations of single nucleotide polymorphisms

Annarita D'Addabbo, Nicola Ancona, Rosalia Maglietta, 2009, Artif. Intell. Medicine.

A ball detection algorithm for real soccer image sequences

Tiziana D'Orazio, Nicola Ancona, Grazia Cicirelli, 2002, Object recognition supported by user interaction for service robots.

SVM and RLS Models for Cancer Classification

Graziano Pesole, Annarita D'Addabbo, Nicola Ancona, 2005, Computational Intelligence.

Real-time, miniaturized optical sensor for motion estimation and time-to-crash detection

Nicola Ancona, Bart Dierickx, Danny Scheffer, 1996, Advanced Imaging and Network Technologies.

A powerful method for feature extraction and compression of electronic nose responses

Cosimo Distante, Nicola Ancona, Pietro Siciliano, 2005 .

Statistical assessment of discriminative features for protein-coding and non coding cross-species conserved sequence elements

Graziano Pesole, Annarita D'Addabbo, Nicola Ancona, 2009, BMC Bioinformatics.

An Opto-Motor Reflex for Autonomous Navigation in Traffic Jam Conditions

Nicola Ancona, Maurizio Romano, Annamaria Fanelli, 1993 .

Three-dimensional object recognition based on multiview representation and extended Gaussian image

Nicola Ancona, Laura Caponetti, R. Mugnuolo, 1988 .

Gabor filter subset selection using a genetic algorithm

Nicola Ancona, Ettore Stella, Arcangelo Distante, 2002, International Symposium on Optomechatronic Technologies.

On the statistical assessment of classifiers using DNA microarray data

Graziano Pesole, Annarita D'Addabbo, Nicola Ancona, 2006, BMC Bioinformatics.

On classification of signals represented with data-dependent overcomplete dictionaries

Nicola Ancona, Rosalia Maglietta, R. Maglietta, 2011, Int. J. Gen. Syst..

Neural network ensemble and support vector machine classifiers for the analysis of remotely sensed data: a comparison

Palma Blonda, Annarita D'Addabbo, Nicola Ancona, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Optical flow from 1-D correlation: Application to a simple time-to-crash detector

Nicola Ancona, Tomaso A. Poggio, T. Poggio, 1993, 1993 (4th) International Conference on Computer Vision.

3D object recognition based on a viewpoint-analysis

Nicola Ancona, Arcangelo Distante, Laura Caponetti, 1992, Image Vis. Comput..

Complexity reduction and parameter selection in support vector machines

Nicola Ancona, Arcangelo Distante, Grazia Cicirelli, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Constructing parsimonious analytic models for dynamic systems via symbolic regression

Nicola Ancona, Jirí Kubalík, Erik Derner, 2020, Appl. Soft Comput..

Detection of multiple sclerosis lesions in MRIs with an SVM classifier

Palma Blonda, Annarita D'Addabbo, Nicola Ancona, 2003, SPIE Medical Imaging.

Data representations and generalization error in kernel based learning machines

Nicola Ancona, Ettore Stella, Rosalia Maglietta, 2006, Pattern Recognit..

Symbolic Regression for Constructing Analytic Models in Reinforcement Learning pdf

Robert Babuska, Nicola Ancona, Jirí Kubalík, 2019, ArXiv.

Filter-based feature selection for rail defect detection

Nicola Ancona, Ettore Stella, Arcangelo Distante, 2004 .

Optical flow from 1-D correlation: Application to a simple time-to-crash detector

Nicola Ancona, Tomaso A. Poggio, 2005, International Journal of Computer Vision.

Correcting Colours for Aided Recomposition of Fragments

Nicola Ancona, Giovanni Attolico, Arcangelo Distante, 2004, ICVGIP.

Classification error as a measure of gene relevance in cancer diagnosis

Graziano Pesole, Annarita D'Addabbo, Nicola Ancona, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Filter-based feature selection for rail defect detection

Nicola Ancona, Ettore Stella, Arcangelo Distante, 2004, Machine Vision and Applications.

Texture analysis for shadow removing in video-surveillance systems

Nicola Ancona, Pietro Siciliano, Alessandro Leone, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

On the reproducibility of results of pathway analysis in genome-wide expression studies of colorectal cancers

Annarita D'Addabbo, Nicola Ancona, Rosalia Maglietta, 2010, J. Biomed. Informatics.

Visual Detection of Hexagonal Headed Bolts Using Method of Frames and Matching Pursuit

Nicola Ancona, Ettore Stella, Arcangelo Distante, 2005, IbPRIA.

A comparative study of covariance selection models for the inference of gene regulatory networks

Sayan Mukherjee, Nicola Ancona, Roberto Anglani, 2013, J. Biomed. Informatics.

Rail corrugation detection by Gabor filtering

Nicola Ancona, Ettore Stella, Arcangelo Distante, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Statistical Assessment of MSigDB Gene Sets in Colon Cancer

Sayan Mukherjee, Annarita D'Addabbo, Nicola Ancona, 2008, KES.

Measuring randomness by leave-one-out prediction error. Analysis of EEG after painful stimulation

Nicola Ancona, Daniele Marinazzo, Sebastiano Stramaglia, 2006 .

Properties of Support Vector Machines for Regression Properties of Support Vector Machines for Regression

Nicola Ancona, 1999 .