Antonino Staiano

发表

Editorial: Analysis and synthesis of ecological data by machine learning

Friedrich Recknagel, Antonino Staiano, F. Recknagel, 2019, Ecol. Informatics.

Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2013, WILF.

Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2019, Ecol. Informatics.

Spam Detection by Machine Learning-Based Content Analysis

Antonino Staiano, Francesco Camastra, Daniele Davino, 2017, IIH-MSP.

Artificial intelligence tools for data mining in large astronomical databases

Salvatore Sessa, Antonino Staiano, Giancarlo Raiconi, 2002 .

A Neural Based WSN Mote Trajectory Reconstruction for Mining Periodic Patterns

Alfredo Petrosino, Antonino Staiano, 2008, WIRN.

Correlation Dimension-Based Recognition of Simple Juggling Movements

Antonino Staiano, Francesco Camastra, Francesco Esposito, 2018, Multidisciplinary Approaches to Neural Computing.

Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values

Antonino Staiano, Angelo Ciaramella, Davide Nardone, 2018, CIBB.

NEC for Gene Expression Analysis

Antonino Staiano, Diego di Bernardo, Angelo Ciaramella, 2005, WILF.

Merging fuzzy logic, neural networks, and genetic computation in the design of a decision‐support system

Salvatore Sessa, Antonino Staiano, Roberto Tagliaferri, 2000 .

Semantic Maps for Knowledge Management of Web and Social Information

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2020, Computational Intelligence for Semantic Knowledge Management.

Machine learning and soft computing for ICT security: an overview of current trends

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2011, Journal of Ambient Intelligence and Humanized Computing.

Ensembles of probabilistic principal surfaces and competitive evolution on data: two different approaches to data classification

Antonino Staiano, Angelo Ciaramella, Gennaro Miele, 2004 .

Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2013, ICIAP Workshops.

A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2015, Expert Syst. Appl..

TÉRA: A tool for the environmental risk assessment of genetically modified plants

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2014, Ecol. Informatics.

A multi-step approach to time series analysis and gene expression clustering

Antonino Staiano, Diego di Bernardo, Angelo Ciaramella, 2006, Bioinform..

Clustering and visualization approaches for human cell cycle gene expression data analysis

Antonino Staiano, Angelo Ciaramella, Gennaro Miele, 2008, Int. J. Approx. Reason..

Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering

Witold Pedrycz, Antonino Staiano, Roberto Tagliaferri, 2006, Neurocomputing.

NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information

Antonino Staiano, Angelo Ciaramella, Roberto Tagliaferri, 2005, WIRN/NAIS.

Fuzzy modeling for data cleaning in sensor networks

Alfredo Petrosino, Antonino Staiano, A. Petrosino, 2008, Int. J. Hybrid Intell. Syst..

Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm

Antonino Staiano, Francesco Camastra, Francesco Esposito, 2018, Neural Computing and Applications.

A Sparse-Modeling Based Approach for Class Specific Feature Selection

Antonino Staiano, Angelo Ciaramella, Davide Nardone, 2019, PeerJ Comput. Sci..

DATA VISUALIZATION AND CLUSTERING: AN APPLICATION TO GENE EXPRESSION DATA

Antonino Staiano, Angelo Ciaramella, Francesco Iorio, 2007 .

Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems

Witold Pedrycz, Antonino Staiano, Roberto Tagliaferri, 2003, WILF.

HIGH-D DATA VISUALIZATION METHODS VIA PROBABILISTIC PRINCIPAL SURFACES FOR DATA MINING APPLICATIONS

Antonino Staiano, Roberto Tagliaferri, Giuseppe Longo, 2005 .

Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm

Antonino Staiano, Angelo Ciaramella, Tran Manh Tuan, 2020, Neural Computing and Applications.

Correction to: Computational Intelligence Methods for Bioinformatics and Biostatistics

Paulo A. Ribeiro, Antonino Staiano, Angelo Ciaramella, 2018, CIBB2018.

Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis

Antonino Staiano, Angelo Ciaramella, Davide Nardone, 2019, Quantifying and Processing Biomedical and Behavioral Signals.

Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th International Meeting, CIBB 2018, Caparica, Portugal, September 6–8, 2018, Revised Selected Papers

Antonino Staiano, Angelo Ciaramella, Susana Sério, 2020, CIBB.

A Neuro-fuzzy Approach for Sensor Network Data Cleaning

Alfredo Petrosino, Antonino Staiano, 2007, KES.

Applications of neural networks in astronomy and astroparticle physics

Antonino Staiano, Angelo Ciaramella, Giancarlo Raiconi, 2005 .

Merging fuzzy logic, neural networks, and genetic computation in the design of a decision-support system

Salvatore Sessa, Antonino Staiano, Roberto Tagliaferri, 2000, International Journal of Intelligent Systems.

A supervised fuzzy clustering for RBF neural networks training

Antonino Staiano, Roberto Tagliaferri, D. Scala, 2001 .

On the Role of Clustering and Visualization Techniques in Gene Microarray Data

Antonino Staiano, Angelo Ciaramella, A. Staiano, 2019, Algorithms.

An Evolutionary Approach to Spatial Fuzzy c-Means Clustering

Antonino Staiano, Vincenzo Loia, Antonio Di Nola, 2002, Fuzzy Optim. Decis. Mak..

A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2013, WIRN.

An RBF neural network-based system for home smart metering

Antonino Staiano, Fabio Inneguale, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Sparse-Modeling based approach for Class-Specific feature selection

Antonino Staiano, Angelo Ciaramella, Davide Nardone, 2019, PeerJ Prepr..

Genetic-based spatial clustering

Antonino Staiano, Vincenzo Loia, Antonio Di Nola, 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

Chapter XV. Advanced Data Mining and Visualization Techniques with Probabilistic Principal Surfaces: Application to Astronomy and Genetics,

Antonino Staiano, Roberto Tagliaferri, Giuseppe Longo, 2007 .

An evolutionary hybrid approach to the design of a decision support system

Salvatore Sessa, Antonino Staiano, Roberto Tagliaferri, 2000, SAC '00.

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2018, WILF.

Visualization, clustering and classification of multidimensional astronomical data

Antonino Staiano, Angelo Ciaramella, Gennaro Miele, 2005, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05).

On the Estimation of Pollen Density on Non-target Lepidoptera Food Plant Leaves in Bt-Maize Exposure Models: Open Problems and Possible Neural Network-Based Solutions

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2017, ICANN.

Machine Learning-Based Web Documents Categorization by Semantic Graphs

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2015, Advances in Neural Networks.

Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario

Antonino Staiano, Angelo Ciaramella, Davide Nardone, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm

Antonino Staiano, Angelo Ciaramella, Tran Manh Tuan, 2020, Neural Computing and Applications.

A multilayer perceptron neural network-based approach for the identification of responsiveness to interferon therapy in multiple sclerosis patients

Antonino Staiano, Giuseppe Longo, Elena Salvatore, 2010, Inf. Sci..

Intrinsic dimension estimation: Advances and open problems

Antonino Staiano, Francesco Camastra, A. Staiano, 2016, Inf. Sci..

Data integration by fuzzy similarity-based hierarchical clustering

Antonino Staiano, Angelo Ciaramella, Davide Nardone, 2020, BMC Bioinformatics.

Mining Yeast Gene Microarray Data with Latent Variable Models

Antonino Staiano, Diego di Bernardo, Angelo Ciaramella, 2004, WIRN.

Advances in Computational Methods for Genetic Diseases

Antonino Staiano, Francesco Camastra, Roberto Amato, 2015, Comput. Math. Methods Medicine.

Investigation of Single Nucleotide Polymorphisms Associated to Familial Combined Hyperlipidemia with Random Forests

Antonino Staiano, Giuliana Fortunato, Maria Donata Di Taranto, 2012, WIRN.

Neural neZtworks in astronomy

Salvatore Sessa, Antonino Staiano, Angelo Ciaramella, 2003, Neural Networks.

Advanced data mining tools for exploring large astronomical databases

Salvatore Sessa, Antonino Staiano, Angelo Ciaramella, 2001, SPIE Optics + Photonics.

Statistical and Computational Methods for Genetic Diseases: An Overview

Antonino Staiano, Francesco Camastra, Maria Donata Di Taranto, 2015, Comput. Math. Methods Medicine.

Data mining of large astronomical databases with neural tools

Salvatore Sessa, Antonino Staiano, Giancarlo Raiconi, 2002, SPIE Astronomical Telescopes + Instrumentation.

A Bayesian-Based Neural Network Model for Solar Photovoltaic Power Forecasting

Antonino Staiano, Angelo Ciaramella, Guido Cervone, 2016, Advances in Neural Networks.

Probabilistic principal surfaces for yeast gene microarray data mining

Antonino Staiano, Diego di Bernardo, Angelo Ciaramella, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

2003 Special Issue Neural networks in astronomy

Salvatore Sessa, Antonino Staiano, Angelo Ciaramella, 2003 .

DataVisualization Methodologies forDataMining SystemsinBioinformatics

C. Donalek, Antonino Staiano, Angelo Ciaramella, 2005 .

A fuzzy rule base minimization perspective in XAI

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2021, WILF.

Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics

Riccardo Rizzo, Antonino Staiano, Ivan Merelli, 2021, BMC Bioinformatics.

A note on some mathematical models on the effects of Bt-maize exposure

Antonino Staiano, Francesco Camastra, Angelo Ciaramella, 2012, Environmental and Ecological Statistics.

Mining the Structure of the Nearby Universe

Antonino Staiano, Roberto Tagliaferri, Massimo Brescia, 2007 .

The ratio F$^{n}_{2}$/F$^{p}_{2}$ in deep inelastic muon scattering

Antonino Staiano, Michele Arneodo, Q. Ingram, 1992 .

Association of USF1 and APOA5 polymorphisms with familial combined hyperlipidemia in an Italian population.

Antonino Staiano, Alberto Morgante, Giuliana Fortunato, 2015, Molecular and cellular probes.