Antonino Staiano

72 papers A* 1B 5Journal 34Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards decentralized ecological monitoring: A local-first web-based AI platform for sea turtle detection. Ecol. Informatics Alessio Pierluigi Placitelli, Sandra Hochscheid, Fulvio Maffucci, Alan F. Rees, Gianluca Treglia, Antonino Staiano
2025	J	`jnl`	Cost-effective approaches for microplastic pellets characterization using a machine learning tool. Ecol. Informatics Vincenzo Mariano Scarrica, P. Cocozza, G. Anfuso, Antonino Staiano, Giuseppe Bonifazi, Angela Rizzo, Silvia Serranti
2025	—	`conf`	Requirements analysis in ARCAD-IA project. Ital-IA Pietro Patrizio Ciro Aucelli, Francesco Camastra, Angelo Ciaramella, Emanuel Di Nardo, Alessio Ferone, Antonio Maratea, Raffaele Montella, Antonino Staiano
2024	J	`jnl`	A hybrid approach to real-time multi-target tracking. Neural Comput. Appl. Vincenzo Mariano Scarrica, Ciro Panariello, Alessio Ferone, Antonino Staiano
2024	—	`conf`	An integrated intelligent surveillance system for Industrial areas. Ital-IA 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
2024	J	`jnl`	Application of Direct and Indirect Methodologies for Beach Litter Detection in Coastal Environments. Remote. Sens. 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
2024	J	`jnl`	On the interpretability of fuzzy knowledge base systems. PeerJ Comput. Sci. Francesco Camastra, Angelo Ciaramella, Giuseppe Salvi, Salvatore Sposato, Antonino Staiano
2024	—	`conf`	Safeguarding the Marine and Coastal Environment with Artificial Intelligence. Ital-IA Paola Barra, Francesco Camastra, Angelo Ciaramella, Ciro Giuseppe De Vita, Emanuel Di Nardo, Raffaele Montella, Gennaro Mellone, Vincenzo Mariano Scarrica, Antonino Staiano
2024	—	`conf`	Unveiling Graph Power: SegmentAnything and GCN Synergy for Instance Segmentation and Classification. EAIS Vincenzo Mariano Scarrica, Antonino Staiano
2023	J	`jnl`	A Hybrid Approach To Real-Time Multi-Object Tracking. CoRR Vincenzo Mariano Scarrica, Ciro Panariello, Alessio Ferone, Antonino Staiano
2023	—	`conf`	AI-based Monitoring of Coastal and Marine Environments. Ital-IA Francesco Camastra, Angelo Ciaramella, Emanuel Di Nardo, Alessio Ferone, Antonio Maratea, Raffaele Montella, Antonino Staiano
2023	—	`conf`	Intelligent Management of Video-Monitored Parking Areas. WIRN Vincenzo Mariano Scarrica, Angelo Casolaro, Gennaro Iannuzzo, Antonino Staiano
2023	J	`jnl`	Learning Spatial Distribution of Long-Term Trackers Scores. CoRR Vincenzo Mariano Scarrica, Antonino Staiano
2022	J	`jnl`	A novel beach litter analysis system based on UAV images and Convolutional Neural Networks. Ecol. Informatics Vincenzo Mariano Scarrica, Pietro Patrizio Ciro Aucelli, Cosimo Cagnazzo, Angelo Casolaro, Pierpaolo Fiore, Marco La Salandra, Angela Rizzo, Giovanni Scardino, Giovanni Scicchitano, Antonino Staiano
2022	B	`conf`	Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. ICIP Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans
2022	J	`jnl`	Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. CoRR Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans
2022	J	`jnl`	Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation. Environ. Model. Softw. Francesco Camastra, Vincenzo Capone, Angelo Ciaramella, Angelo Riccio, Antonino Staiano
2021	—	`conf`	A fuzzy rule base minimization perspective in XAI. WILF Francesco Camastra, Angelo Ciaramella, Salvatore Sposato, Antonino Staiano
2021	J	`jnl`	Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics. BMC Bioinform. Paolo Cazzaniga, Maria Raposo, Daniela Besozzi, Ivan Merelli, Antonino Staiano, Angelo Ciaramella, Riccardo Rizzo, Luca Manzoni
2020	—	`ch.`	Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario. Neural Approaches to Dynamics of Signal Exchanges Angelo Ciaramella, Davide Nardone, Antonino Staiano
2020	—	`ed.`	Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Caparica, Portugal, September 6-8, 2018, Revised Selected Papers CIBB Maria Raposo, Paulo A. Ribeiro, Susana Sério, Antonino Staiano, Angelo Ciaramella
2020	J	`jnl`	Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. Neural Comput. Appl. Le Hoang Son, Angelo Ciaramella, Duong Thi Thu Huyen, Antonino Staiano, Tran Manh Tuan, Pham Van Hai
2020	J	`jnl`	Data integration by fuzzy similarity-based hierarchical clustering. BMC Bioinform. Angelo Ciaramella, Davide Nardone, Antonino Staiano
2020	—	`conf`	Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction. ICPR Workshops (6) Francesco Camastra, Vincenzo Capone, Angelo Ciaramella, Tony Christian Landi, Angelo Riccio, Antonino Staiano
2020	J	`jnl`	Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. Neural Comput. Appl. Le Hoang Son, Angelo Ciaramella, Duong Thi Thu Huyen, Antonino Staiano, Tran Manh Tuan, Pham Van Hai
2020	—	`ch.`	Semantic Maps for Knowledge Management of Web and Social Information. Computational Intelligence for Semantic Knowledge Management Francesco Camastra, Angelo Ciaramella, Antonio Maratea, Le Hoang Son, Antonino Staiano
2019	J	`jnl`	A Sparse-Modeling Based Approach for Class Specific Feature Selection. PeerJ Comput. Sci. Davide Nardone, Angelo Ciaramella, Antonino Staiano
2019	J	`jnl`	A Sparse-Modeling based approach for Class-Specific feature selection. PeerJ Prepr. Davide Nardone, Angelo Ciaramella, Antonino Staiano
2019	—	`ch.`	Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis. Quantifying and Processing Biomedical and Behavioral Signals Mario Iannicelli, Davide Nardone, Angelo Ciaramella, Antonino Staiano
2019	J	`jnl`	Editorial: Analysis and synthesis of ecological data by machine learning. Ecol. Informatics Friedrich Recknagel, Antonino Staiano
2019	J	`jnl`	On the Role of Clustering and Visualization Techniques in Gene Microarray Data. Algorithms Angelo Ciaramella, Antonino Staiano
2019	J	`jnl`	Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. Ecol. Informatics Elena Chianese, Francesco Camastra, Angelo Ciaramella, Tony Christian Landi, Antonino Staiano, Angelo Riccio
2018	—	`conf`	Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values. CIBB Angelo Ciaramella, Davide Nardone, Antonino Staiano
2018	—	`ch.`	Correlation Dimension-Based Recognition of Simple Juggling Movements. Multidisciplinary Approaches to Neural Computing Francesco Camastra, Francesco Esposito, Antonino Staiano
2018	—	`conf`	Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction. WILF Francesco Camastra, Angelo Ciaramella, Le Hoang Son, Angelo Riccio, Antonino Staiano
2018	J	`jnl`	Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm. Neural Comput. Appl. Francesco Camastra, Francesco Esposito, Antonino Staiano
2017	B	`conf`	An RBF neural network-based system for home smart metering. FUZZ-IEEE Antonino Staiano, Fabio Inneguale
2017	—	`conf`	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. ICANN (1) Francesco Camastra, Angelo Ciaramella, Antonino Staiano
2017	—	`conf`	Spam Detection by Machine Learning-Based Content Analysis. IIH-MSP (1) Daniele Davino, Francesco Camastra, Angelo Ciaramella, Antonino Staiano
2016	—	`ch.`	A Bayesian-Based Neural Network Model for Solar Photovoltaic Power Forecasting. Advances in Neural Networks Angelo Ciaramella, Antonino Staiano, Guido Cervone, Stefano Alessandrini
2016	J	`jnl`	Intrinsic dimension estimation: Advances and open problems. Inf. Sci. Francesco Camastra, Antonino Staiano
2015	J	`jnl`	A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. Expert Syst. Appl. Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2015	J	`jnl`	Advances in Computational Methods for Genetic Diseases. Comput. Math. Methods Medicine Francesco Camastra, Roberto Amato, Maria Donata Di Taranto, Antonino Staiano
2015	—	`ch.`	Machine Learning-Based Web Documents Categorization by Semantic Graphs. Advances in Neural Networks Francesco Camastra, Angelo Ciaramella, Alessio Pierluigi Placitelli, Antonino Staiano
2015	J	`jnl`	Statistical and Computational Methods for Genetic Diseases: An Overview. Comput. Math. Methods Medicine Francesco Camastra, Maria Donata Di Taranto, Antonino Staiano
2014	J	`jnl`	TÉRA: A tool for the environmental risk assessment of genetically modified plants. Ecol. Informatics Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2013	—	`conf`	A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms. WIRN Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2013	—	`conf`	Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System. ICIAP Workshops Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2013	J	`jnl`	Machine learning and soft computing for ICT security: an overview of current trends. J. Ambient Intell. Humaniz. Comput. Francesco Camastra, Angelo Ciaramella, Antonino Staiano
2013	—	`conf`	Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. WILF Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Salvatore Sposato, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2012	—	`conf`	Investigation of Single Nucleotide Polymorphisms Associated to Familial Combined Hyperlipidemia with Random Forests. WIRN 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
2010	J	`jnl`	A multilayer perceptron neural network-based approach for the identification of responsiveness to interferon therapy in multiple sclerosis patients. Inf. Sci. Giuseppe Calcagno, Antonino Staiano, Giuliana Fortunato, Vincenzo Brescia-Morra, Elena Salvatore, Rosario Liguori, Silvana Capone, Alessandro Filla, Giuseppe Longo, Lucia Sacchetti
2008	—	`conf`	A Neural Based WSN Mote Trajectory Reconstruction for Mining Periodic Patterns. WIRN Alfredo Petrosino, Antonino Staiano
2008	J	`jnl`	Clustering and visualization approaches for human cell cycle gene expression data analysis. Int. J. Approx. Reason. Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri, Angelo Ciaramella, Antonino Staiano, Gennaro Miele
2008	J	`jnl`	Fuzzy modeling for data cleaning in sensor networks. Int. J. Hybrid Intell. Syst. Alfredo Petrosino, Antonino Staiano
2007	—	`conf`	A Neuro-fuzzy Approach for Sensor Network Data Cleaning. KES (3) Alfredo Petrosino, Antonino Staiano
2006	J	`jnl`	A multi-step approach to time series analysis and gene expression clustering. Bioinform. 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
2006	J	`jnl`	Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. Neurocomputing Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz
2005	B	`conf`	Data visualization methodologies for data mining systems in bioinformatics. IJCNN Antonino Staiano, Angelo Ciaramella, Giancarlo Raiconi, Roberto Tagliaferri, Roberto Amato, Giuseppe Longo, Gennaro Miele, Ciro Donalek
2005	—	`conf`	NEC for Gene Expression Analysis. WILF 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
2005	—	`conf`	NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information. WIRN/NAIS Angelo Ciaramella, Giuseppe Longo, Antonino Staiano, Roberto Tagliaferri
2005	—	`conf`	Visualization, Clustering and Classification of Multidimensional Astronomical Data. CAMP Antonino Staiano, Angelo Ciaramella, Lara De Vinco, Giuseppe Longo, Giancarlo Raiconi, Roberto Tagliaferri, Roberto Amato, Carmine Del Mondo, Giuseppe Mangano, Gennaro Miele
2004	B	`conf`	Committee of spherical probabilistic principal surfaces. IJCNN Antonino Staiano, Roberto Tagliaferri, Guiseppe Longon, Piero Benvenuti
2004	—	`conf`	Mining Yeast Gene Microarray Data with Latent Variable Models. WIRN 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
2004	A*	`conf`	Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining. ICDM Antonino Staiano, Lara De Vinco, Angelo Ciaramella, Giancarlo Raiconi, Roberto Tagliaferri, Roberto Amato, Giuseppe Longo, Ciro Donalek, Gennaro Miele, Diego di Bernardo
2004	—	`—`	Unsupervised neural networks for the extraction of scientific information from astronomical data. Antonino Staiano
2003	—	`conf`	Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems. WILF Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz
2003	J	`jnl`	Neural neZtworks in astronomy. Neural Networks Roberto Tagliaferri, Giuseppe Longo, Leopoldo Milano, Fausto Acernese, Fabrizio Barone, Angelo Ciaramella, Rosario De Rosa, Ciro Donalek, Antonio Eleuteri, Giancarlo Raiconi, Salvatore Sessa, Antonino Staiano, Alfredo Volpicelli
2002	J	`jnl`	An Evolutionary Approach to Spatial Fuzzy c-Means Clustering. Fuzzy Optim. Decis. Mak. Antonio Di Nola, Vincenzo Loia, Antonino Staiano
2000	—	`conf`	An Evolutionary Hybrid Approach to the Design of a Decision Support System. SAC (1) Vincenzo Loia, Antonino Staiano, Roberto Tagliaferri, Salvatore Sessa
2000	B	`conf`	Genetic-based spatial clustering. FUZZ-IEEE Antonio Di Nola, Vincenzo Loia, Antonino Staiano
2000	J	`jnl`	Merging fuzzy logic, neural networks, and genetic computation in the design of a decision-support system. Int. J. Intell. Syst. Vincenzo Loia, Salvatore Sessa, Antonino Staiano, Roberto Tagliaferri