Vincenzo Mariano Scarrica

13 papers B 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
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
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 — 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
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
2017 — conf
Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis.
IIH-MSP (1)
Vincenzo Mariano Scarrica, Francesco Camastra, Gianluca Diodati, Vincenzo Quaranta