Genetic-based spatial clustering. - Antonio Di Nola; Vincenzo Loia; Antonino Staiano (FUZZ-IEEE, 2000)

An Evolutionary Hybrid Approach to the Design of a Decision Support System. - Vincenzo Loia; Antonino Staiano; Roberto Tagliaferri; Salvatore Sessa 002 (SAC (1), 2000)

Merging fuzzy logic, neural networks, and genetic computation in the design of a decision-support system. - Vincenzo Loia; Salvatore Sessa 002; Antonino Staiano; Roberto Tagliaferri (Int. J. Intell. Syst., 2000)

An Evolutionary Approach to Spatial Fuzzy c-Means Clustering. - Antonio Di Nola; Vincenzo Loia; Antonino Staiano (Fuzzy Optim. Decis. Mak., 2002)

Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems. - Antonino Staiano; Roberto Tagliaferri; Witold Pedrycz (WILF, 2003)

Neural neZtworks in astronomy. - Roberto Tagliaferri; Giuseppe Longo; Leopoldo Milano; Fausto Acernese; Fabrizio Barone; Angelo Ciaramella; Rosario De Rosa; Ciro Donalek; Antonio Eleuteri; Giancarlo Raiconi; Salvatore Sessa 002; Antonino Staiano; et al. (Neural Networks, 2003)

Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining. - Antonino Staiano; Lara De Vinco; Angelo Ciaramella; Giancarlo Raiconi; Roberto Tagliaferri; Roberto Amato; Giuseppe Longo; Ciro Donalek; Gennaro Miele; Diego di Bernardo (ICDM, 2004)

Committee of spherical probabilistic principal surfaces. - Antonino Staiano; Roberto Tagliaferri; Guiseppe Longon; Piero Benvenuti (IJCNN, 2004)

Mining Yeast Gene Microarray Data with Latent Variable Models. - Antonino 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 (WIRN, 2004)

Unsupervised neural networks for the extraction of scientific information from astronomical data. - Antonino Staiano (2004)

Visualization, Clustering and Classification of Multidimensional Astronomical Data. - Antonino Staiano; Angelo Ciaramella; Lara De Vinco; Giuseppe Longo; Giancarlo Raiconi; Roberto Tagliaferri; Roberto Amato; Carmine Del Mondo; Giuseppe Mangano; Gennaro Miele (CAMP, 2005)

Data visualization methodologies for data mining systems in bioinformatics. - Antonino Staiano; Angelo Ciaramella; Giancarlo Raiconi; Roberto Tagliaferri; Roberto Amato; Giuseppe Longo; Gennaro Miele; Ciro Donalek (IJCNN, 2005)

NEC for Gene Expression Analysis. - Roberto Amato; Angelo Ciaramella; Natalia Deniskina; Carmine Del Mondo; Diego di Bernardo; Ciro Donalek; Giuseppe Longo; Giuseppe Mangano; Gennaro Miele; Giancarlo Raiconi; Antonino Staiano; Roberto Tagliaferri (WILF, 2005)

NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information. - Angelo Ciaramella; Giuseppe Longo; Antonino Staiano; Roberto Tagliaferri (WIRN/NAIS, 2005)

A multi-step approach to time series analysis and gene expression clustering. - Roberto Amato; Angelo Ciaramella; Natalia Deniskina; Carmine Del Mondo; Diego di Bernardo; Ciro Donalek; Giuseppe Longo; Giuseppe Mangano; Gennaro Miele; Giancarlo Raiconi; Antonino Staiano; Roberto Tagliaferri (Bioinform., 2006)

Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. - Antonino Staiano; Roberto Tagliaferri; Witold Pedrycz (Neurocomputing, 2006)

A Neuro-fuzzy Approach for Sensor Network Data Cleaning. - Alfredo Petrosino; Antonino Staiano (KES (3), 2007)

A Neural Based WSN Mote Trajectory Reconstruction for Mining Periodic Patterns. - Alfredo Petrosino; Antonino Staiano (WIRN, 2008)

Clustering and visualization approaches for human cell cycle gene expression data analysis. - Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri; Angelo Ciaramella; Antonino Staiano; Gennaro Miele (Int. J. Approx. Reason., 2008)

Fuzzy modeling for data cleaning in sensor networks. - Alfredo Petrosino; Antonino Staiano (Int. J. Hybrid Intell. Syst., 2008)

A multilayer perceptron neural network-based approach for the identification of responsiveness to interferon therapy in multiple sclerosis patients. - Giuseppe Calcagno; Antonino Staiano; Giuliana Fortunato; Vincenzo Brescia-Morra; Elena Salvatore; Rosario Liguori; Silvana Capone; Alessandro Filla; Giuseppe Longo; Lucia Sacchetti (Inf. Sci., 2010)

Investigation of Single Nucleotide Polymorphisms Associated to Familial Combined Hyperlipidemia with Random Forests. - Antonino Staiano; Maria Donata Di Taranto; Elena Bloise; Maria Nicoletta D'Agostino; Antonietta D'Angelo; Gennaro Marotta; Marco Gentile; Fabrizio Jossa; Arcangelo Iannuzzi; Paolo Rubba; Giuliana Fortunato (WIRN, 2012)

Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (ICIAP Workshops, 2013)

Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Salvatore Sposato; Antonino Staiano; Giovanni Staiano; Alfredo Starace (WILF, 2013)

A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (WIRN, 2013)

Machine learning and soft computing for ICT security: an overview of current trends. - Francesco Camastra; Angelo Ciaramella; Antonino Staiano (J. Ambient Intell. Humaniz. Comput., 2013)

TÉRA: A tool for the environmental risk assessment of genetically modified plants. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (Ecol. Informatics, 2014)

Advances in Computational Methods for Genetic Diseases. - Francesco Camastra; Roberto Amato; Maria Donata Di Taranto; Antonino Staiano (Comput. Math. Methods Medicine, 2015)

Statistical and Computational Methods for Genetic Diseases: An Overview. - Francesco Camastra; Maria Donata Di Taranto; Antonino Staiano (Comput. Math. Methods Medicine, 2015)

A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (Expert Syst. Appl., 2015)

Machine Learning-Based Web Documents Categorization by Semantic Graphs. - Francesco Camastra; Angelo Ciaramella; Alessio Placitelli; Antonino Staiano (Advances in Neural Networks, 2015)

Intrinsic dimension estimation: Advances and open problems. - Francesco Camastra; Antonino Staiano (Inf. Sci., 2016)

A Bayesian-Based Neural Network Model for Solar Photovoltaic Power Forecasting. - Angelo Ciaramella; Antonino Staiano; Guido Cervone; Stefano Alessandrini (Advances in Neural Networks, 2016)

An RBF neural network-based system for home smart metering. - Antonino Staiano; Fabio Inneguale (FUZZ-IEEE, 2017)

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. - Francesco Camastra; Angelo Ciaramella; Antonino Staiano (ICANN (1), 2017)

Spam Detection by Machine Learning-Based Content Analysis. - Daniele Davino; Francesco Camastra; Angelo Ciaramella; Antonino Staiano (IIH-MSP (1), 2017)

Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values. - Angelo Ciaramella; Davide Nardone; Antonino Staiano (CIBB, 2018)

Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction. - Francesco Camastra; Angelo Ciaramella; Le Hoang Son; Angelo Riccio; Antonino Staiano (WILF, 2018)

Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm. - Francesco Camastra; Francesco Esposito; Antonino Staiano (Neural Comput. Appl., 2018)

Correlation Dimension-Based Recognition of Simple Juggling Movements. - Francesco Camastra; Francesco Esposito; Antonino Staiano (Multidisciplinary Approaches to Neural Computing, 2018)

On the Role of Clustering and Visualization Techniques in Gene Microarray Data. - Angelo Ciaramella; Antonino Staiano (Algorithms, 2019)

Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. - Elena Chianese; Francesco Camastra; Angelo Ciaramella; Tony Christian Landi; Antonino Staiano; Angelo Riccio (Ecol. Informatics, 2019)

Editorial: Analysis and synthesis of ecological data by machine learning. - Friedrich Recknagel; Antonino Staiano (Ecol. Informatics, 2019)

A Sparse-Modeling based approach for Class-Specific feature selection. - Davide Nardone; Angelo Ciaramella; Antonino Staiano (PeerJ Prepr., 2019)

Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis. - Mario Iannicelli; Davide Nardone; Angelo Ciaramella; Antonino Staiano (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction. - Francesco Camastra; Vincenzo Capone; Angelo Ciaramella; Tony Christian Landi; Angelo Riccio; Antonino Staiano (ICPR Workshops (6), 2020)

Data integration by fuzzy similarity-based hierarchical clustering. - Angelo Ciaramella; Davide Nardone; Antonino Staiano (BMC Bioinform., 2020)

Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. - Le Hoang Son; Angelo Ciaramella; Duong Thi Thu Huyen; Antonino Staiano; Tran Manh Tuan; Pham Van Hai (Neural Comput. Appl., 2020)

Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. - Le Hoang Son; Angelo Ciaramella; Duong Thi Thu Huyen; Antonino Staiano; Tran Manh Tuan; Pham Van Hai (Neural Comput. Appl., 2020)

Semantic Maps for Knowledge Management of Web and Social Information. - Francesco Camastra; Angelo Ciaramella; Antonio Maratea; Le Hoang Son; Antonino Staiano (Computational Intelligence for Semantic Knowledge Management, 2020)

Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario. - Angelo Ciaramella; Davide Nardone; Antonino Staiano (Neural Approaches to Dynamics of Signal Exchanges, 2020)

A fuzzy rule base minimization perspective in XAI. - Francesco Camastra; Angelo Ciaramella; Salvatore Sposato; Antonino Staiano (WILF, 2021)

Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics. - Paolo Cazzaniga; Maria Raposo; Daniela Besozzi; Ivan Merelli; Antonino Staiano; Angelo Ciaramella; Riccardo Rizzo; Luca Manzoni (BMC Bioinform., 2021)

Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. - Jhony H. Giraldo; Vincenzo Mariano Scarrica; Antonino Staiano; Francesco Camastra; Thierry Bouwmans (ICIP, 2022)

A novel beach litter analysis system based on UAV images and Convolutional Neural Networks. - Vincenzo Mariano Scarrica; Pietro Patrizio Ciro Aucelli; Cosimo Cagnazzo; Angelo Casolaro; Pierpaolo Fiore; Marco La Salandra; Angela Rizzo; Giovanni Scardino; Giovanni Scicchitano; Antonino Staiano (Ecol. Informatics, 2022)

Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation. - Francesco Camastra; Vincenzo Capone; Angelo Ciaramella; Angelo Riccio; Antonino Staiano (Environ. Model. Softw., 2022)

AI-based Monitoring of Coastal and Marine Environments. - Francesco Camastra; Angelo Ciaramella; Emanuel Di Nardo; Alessio Ferone; Antonio Maratea; Raffaele Montella; Antonino Staiano (Ital-IA, 2023)

Intelligent Management of Video-Monitored Parking Areas. - Vincenzo Mariano Scarrica; Angelo Casolaro; Gennaro Iannuzzo; Antonino Staiano (WIRN, 2023)

A Hybrid Approach To Real-Time Multi-Object Tracking. - Vincenzo Mariano Scarrica; Ciro Panariello; Alessio Ferone; Antonino Staiano (CoRR, 2023)

Learning Spatial Distribution of Long-Term Trackers Scores. - Vincenzo Mariano Scarrica; Antonino Staiano (CoRR, 2023)

Unveiling Graph Power: SegmentAnything and GCN Synergy for Instance Segmentation and Classification. - Vincenzo Mariano Scarrica; Antonino Staiano (EAIS, 2024)

Safeguarding the Marine and Coastal Environment with Artificial Intelligence. - Paola Barra; Francesco Camastra; Angelo Ciaramella; Ciro Giuseppe De Vita; Emanuel Di Nardo; Raffaele Montella; Gennaro Mellone; Vincenzo Mariano Scarrica; Antonino Staiano (Ital-IA, 2024)

An integrated intelligent surveillance system for Industrial areas. - Francesco Camastra; Angelo Ciaramella; Angelo Casolaro; Pasquale De Trino; Alessio Ferone; Giovanni Hauber; Gennaro Iannuzzo; Vincenzo Mariano Scarrica; Antonio Junior Spoleto; Antonino Staiano; Maria Concetta Vitale (Ital-IA, 2024)

A hybrid approach to real-time multi-target tracking. - Vincenzo Mariano Scarrica; Ciro Panariello; Alessio Ferone; Antonino Staiano (Neural Comput. Appl., 2024)

On the interpretability of fuzzy knowledge base systems. - Francesco Camastra; Angelo Ciaramella; Giuseppe Salvi; Salvatore Sposato; Antonino Staiano (PeerJ Comput. Sci., 2024)

Application of Direct and Indirect Methodologies for Beach Litter Detection in Coastal Environments. - Angelo Sozio; Vincenzo Mariano Scarrica; Angela Rizzo; Pietro Patrizio Ciro Aucelli; Giovanni Barracane; Luca Antonio Dimuccio; Rui Ferreira; Marco La Salandra; Antonino Staiano; Maria Pia Tarantino; Giovanni Scicchitano (Remote. Sens., 2024)

Cost-effective approaches for microplastic pellets characterization using a machine learning tool. - Vincenzo Mariano Scarrica; P. Cocozza; G. Anfuso; Antonino Staiano; Giuseppe Bonifazi; Angela Rizzo; Silvia Serranti (Ecol. Informatics, 2025)