Antonino Staiano

Orcid: 0000-0002-4708-5860

According to our database1, Antonino Staiano authored at least 62 papers between 2000 and 2024.

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Bibliography

2024
Application of Direct and Indirect Methodologies for Beach Litter Detection in Coastal Environments.
Remote. Sens., October, 2024

A hybrid approach to real-time multi-target tracking.
Neural Comput. Appl., 2024

An integrated intelligent surveillance system for Industrial areas.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Safeguarding the Marine and Coastal Environment with Artificial Intelligence.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Unveiling Graph Power: SegmentAnything and GCN Synergy for Instance Segmentation and Classification.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023
Learning Spatial Distribution of Long-Term Trackers Scores.
CoRR, 2023

A Hybrid Approach To Real-Time Multi-Object Tracking.
CoRR, 2023

AI-based Monitoring of Coastal and Marine Environments.
Proceedings of the Italia Intelligenza Artificiale, 2023

2022
Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation.
Environ. Model. Softw., 2022

A novel beach litter analysis system based on UAV images and Convolutional Neural Networks.
Ecol. Informatics, 2022

Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics.
BMC Bioinform., 2021

A fuzzy rule base minimization perspective in XAI.
Proceedings of WILF 2021, 2021

2020
Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Semantic Maps for Knowledge Management of Web and Social Information.
Proceedings of the Computational Intelligence for Semantic Knowledge Management, 2020

Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm.
Neural Comput. Appl., 2020

Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm.
Neural Comput. Appl., 2020

Data integration by fuzzy similarity-based hierarchical clustering.
BMC Bioinform., 2020

Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

A Sparse-Modeling based approach for Class-Specific feature selection.
PeerJ Prepr., 2019

Editorial: Analysis and synthesis of ecological data by machine learning.
Ecol. Informatics, 2019

Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron.
Ecol. Informatics, 2019

On the Role of Clustering and Visualization Techniques in Gene Microarray Data.
Algorithms, 2019

2018
Correlation Dimension-Based Recognition of Simple Juggling Movements.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm.
Neural Comput. Appl., 2018

Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017
Spam Detection by Machine Learning-Based Content Analysis.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

An RBF neural network-based system for home smart metering.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
A Bayesian-Based Neural Network Model for Solar Photovoltaic Power Forecasting.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Intrinsic dimension estimation: Advances and open problems.
Inf. Sci., 2016

2015
Machine Learning-Based Web Documents Categorization by Semantic Graphs.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference.
Expert Syst. Appl., 2015

Statistical and Computational Methods for Genetic Diseases: An Overview.
Comput. Math. Methods Medicine, 2015

Advances in Computational Methods for Genetic Diseases.
Comput. Math. Methods Medicine, 2015

2014
TÉRA: A tool for the environmental risk assessment of genetically modified plants.
Ecol. Informatics, 2014

2013
Machine learning and soft computing for ICT security: an overview of current trends.
J. Ambient Intell. Humaniz. Comput., 2013

A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013

2012
Investigation of Single Nucleotide Polymorphisms Associated to Familial Combined Hyperlipidemia with Random Forests.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2010
A multilayer perceptron neural network-based approach for the identification of responsiveness to interferon therapy in multiple sclerosis patients.
Inf. Sci., 2010

2008
Fuzzy modeling for data cleaning in sensor networks.
Int. J. Hybrid Intell. Syst., 2008

Clustering and visualization approaches for human cell cycle gene expression data analysis.
Int. J. Approx. Reason., 2008

A Neural Based WSN Mote Trajectory Reconstruction for Mining Periodic Patterns.
Proceedings of the New Directions in Neural Networks, 2008

2007
A Neuro-fuzzy Approach for Sensor Network Data Cleaning.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering.
Neurocomputing, 2006

A multi-step approach to time series analysis and gene expression clustering.
Bioinform., 2006

2005
NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

NEC for Gene Expression Analysis.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Visualization, Clustering and Classification of Multidimensional Astronomical Data.
Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005

2004
Unsupervised neural networks for the extraction of scientific information from astronomical data.
PhD thesis, 2004

Mining Yeast Gene Microarray Data with Latent Variable Models.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003
Neural neZtworks in astronomy.
Neural Networks, 2003

Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

2002
An Evolutionary Approach to Spatial Fuzzy c-Means Clustering.
Fuzzy Optim. Decis. Mak., 2002

2000
Merging fuzzy logic, neural networks, and genetic computation in the design of a decision-support system.
Int. J. Intell. Syst., 2000

An Evolutionary Hybrid Approach to the Design of a Decision Support System.
Proceedings of the Applied Computing 2000, 2000

Genetic-based spatial clustering.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000


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