Antonino Staiano, PhD

About Antonino Staiano, PhD

Antonino Staiano, PhD, With an exceptional h-index of 18 and a recent h-index of 14 (since 2020), a distinguished researcher at Università degli Studi di Napoli Parthenope, specializes in the field of Machine Learning, Computational Intelligence, Ecological Informatics, Environmental Monitoring.

His recent articles reflect a diverse array of research interests and contributions to the field:

An innovative SAM-ViT based tool for the automatic detection of litter items on sandy beaches

Evaluation of lethal and sublethal effects of laminarin on the green peach aphid, Myzus persicae, under extended laboratory conditions

A hybrid approach to real-time multi-target tracking

Comparing Meanshift/SVM and Mask-RCNN algorithms for beach litter detection on UAVs images

A Synthetic Dataset for Learning Optical Flow in Underwater Environment

Learning Spatial Distribution of Long-Term Trackers Scores

A Hybrid Approach To Real-Time Multi-Object Tracking

AI-based Monitoring of Coastal and Marine Environments

Antonino Staiano, PhD Information

University

Position

Associate Professor

Citations(all)

1282

Citations(since 2020)

585

Cited By

953

hIndex(all)

18

hIndex(since 2020)

14

i10Index(all)

28

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Antonino Staiano, PhD Skills & Research Interests

Machine Learning

Computational Intelligence

Ecological Informatics

Environmental Monitoring

Top articles of Antonino Staiano, PhD

Title

Journal

Author(s)

Publication Date

An innovative SAM-ViT based tool for the automatic detection of litter items on sandy beaches

Angelo Sozio

Angela Rizzo

Vincenzo Mariano Scarrica

Pietro Patrizio Ciro Aucelli

Giorgio Anfuso

...

2024/3/7

Evaluation of lethal and sublethal effects of laminarin on the green peach aphid, Myzus persicae, under extended laboratory conditions

Entomologia Experimentalis et Applicata

Alberto Lanzoni

Antonino Staiano

Antonio Masetti

Giovanni Burgio

2024/1/28

A hybrid approach to real-time multi-target tracking

Vincenzo M Scarrica

Ciro Panariello

Alessio Ferone

Antonino Staiano

2024/4/29

Comparing Meanshift/SVM and Mask-RCNN algorithms for beach litter detection on UAVs images

Angelo Sozio

Vincenzo M Scarrica

Pietro PC Aucelli

Giovanni Scicchitano

Antonino Staiano

...

2023/10/4

A Synthetic Dataset for Learning Optical Flow in Underwater Environment

Alessio Ferone

Marco Lazzaro

Vincenzo Mariano Scarrica

Angelo Ciaramella

Antonino Staiano

2023/8/2

Learning Spatial Distribution of Long-Term Trackers Scores

arXiv preprint arXiv:2308.01256

Vincenzo Mariano Scarrica

Antonino Staiano

2023/8/2

A Hybrid Approach To Real-Time Multi-Object Tracking

arXiv preprint arXiv:2308.01248

Vincenzo Mariano Scarrica

Ciro Panariello

Alessio Ferone

Antonino Staiano

2023/8/2

AI-based Monitoring of Coastal and Marine Environments

Francesco Camastra

Angelo Ciaramella

Emanuel Di Nardo

Alessio Ferone

Antonio Maratea

...

2022

Convolutional Neural Networks for Beach litter monitoring from UAV images

16th International Conference Littoral22 Book of Abstracts

Mr Vincenzo Mariano Scarrica

Angela Rizzo

Pietro Aucelli

Mr Angelo Casolaro

Mr Antonio Morelli

...

2022/12

A novel beach litter analysis system based on UAV images and Convolutional Neural Networks

Ecological Informatics

Vincenzo M Scarrica

Pietro PC Aucelli

Cosimo Cagnazzo

Angelo Casolaro

Pierpaolo Fiore

...

2022/12/1

Hypergraph convolutional networks for weakly-supervised semantic segmentation

Jhony H Giraldo

Vincenzo Scarrica

Antonino Staiano

Francesco Camastra

Thierry Bouwmans

2022/10/16

Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation

Environmental Modelling & Software

Francesco Camastra

Vincenzo Capone

Angelo Ciaramella

Angelo Riccio

Antonino Staiano

2022/4/1

Assessing the effects of Bt maize on the non-target pest Rhopalosiphum maidis by demographic and life-history measurement endpoints

Bulletin of Entomological Research

Alberto Lanzoni

Sara Bosi

Valeria Bregola

Francesco Camastra

Angelo Ciaramella

...

2022/2

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

...

2021/4

Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction

Francesco Camastra

Vincenzo Capone

Angelo Ciaramella

Tony Christian Landi

Angelo Riccio

...

2021

A fuzzy rule base minimization perspective in XAI.

Francesco Camastra

Angelo Ciaramella

Salvatore Sposato

Antonino Staiano

2021

Audio content-based framework for emotional music recognition

Advances in Data Science: Methodologies and Applications

Angelo Ciaramella

Davide Nardone

Antonino Staiano

Giuseppe Vettigli

2021

Semantic maps for knowledge management of web and social information

Computational Intelligence for Semantic Knowledge Management: New Perspectives for Designing and Organizing Information Systems

Francesco Camastra

Angelo Ciaramella

Antonio Maratea

Le Hoang Son

Antonino Staiano

2020

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

Neural Computing and Applications

Le Hoang Son

Angelo Ciaramella

Duong Thi Thu Huyen

Antonino Staiano

Tran Manh Tuan

...

2020/9

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

See List of Professors in Antonino Staiano, PhD University(Università degli Studi di Napoli Parthenope)

Co-Authors

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