GUARASCIO, MASSIMO
GUARASCIO, MASSIMO
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Data- & compute-efficient deviance mining via active learning and fast ensembles
2024 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation
2024 Guarascio, Massimo; Minici, Marco; Pisani, FRANCESCO SERGIO; De Francesco, Erika; Lambardi, Pasquale
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models
2024 Folino, F.; Folino, G.; Guarascio, M.; Pontieri, L.; Zicari, P.
A Deep Anomaly Detection System for IoT-Based Smart Buildings
2023 Cicero, Simona; Guarascio, Massimo; Guerrieri, Antonio; Mungari, Simone
A Federated Approach for Detecting Data Hidden in Icons of Mobile Applications Delivered via Web and Multiple Stores
2023 Nunziato Cassavia; Luca Caviglione; Massimo Guarascio; Angelica Liguori; Giuseppe Manco; Marco Zuppelli
An Explainable Deep Ensemble Framework for Intelligent Ticket Management
2023 Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi; Zicari, Paolo
Emerging Challenges and Perspectives in Deep Learning Model Security: A Brief Survey
2023 Luca Caviglione; Carmela Comito; Massimo Guarascio; Giuseppe Manco
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems
2023 Cassavia, Nunziato; Caviglione, Luca; Guarascio, Massimo; Liguori, Angelica; Zuppelli, Marco
Learning ensembles of deep neural networks for extreme rainfall event detection
2023 Folino, Gianluigi; Guarascio, Massimo; Chiaravalloti, Francesco
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels
2023 Barbara, Vito; Guarascio, Massimo; Leone, Nicola; Manco, Giuseppe; Quarta, Alessandro; Ricca, Francesco; Ritacco, Ettore
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection
2022 Guarascio, Massimo; Cassavia, Nunziato; Pisani, Francesco Sergio; Manco, Giuseppe
Combining deep ensemble learning and explanation for intelligent ticket management
2022 Zicari, P; Folino, G; Guarascio, M; Pontieri, L
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning
2022 Cassavia, N; Caviglione, L; Guarascio, M; Manco, G; Zuppelli, Marco
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs
2022 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
On learning effective ensembles of deep neural networks for intrusion detection
2021 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pisani, FRANCESCO SERGIO; Pontieri, Luigi
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources
2020 Guarascio, M; Folino, G; Chiaravalloti, F; Gabriele, S; Procopio, A; Sabatino, P
Using Deep Learning and Data Integration for Accurate Rainfall Estimates
2020 Folino, Gianluigi; Guarascio, Massimo; Chiaravalloti, Francesco; Gabriele, Salvatore
Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts
2019 Gianluigi Folino;Massimo Guarascio;Giuseppe Papuzzo
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events
2019 Cuzzocrea, A; Folino, F; Guarascio, M; Pontieri, L
Deviance-Aware Discovery of High-Quality Process Models
2018 Cuzzocrea, Alfredo; Folino, Francesco; Guarascio, Massimo; Pontieri, Luigi
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Data- & compute-efficient deviance mining via active learning and fast ensembles | 1-gen-2024 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi | |
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation | 1-gen-2024 | Guarascio, Massimo; Minici, Marco; Pisani, FRANCESCO SERGIO; De Francesco, Erika; Lambardi, Pasquale | |
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models | 1-gen-2024 | Folino, F.; Folino, G.; Guarascio, M.; Pontieri, L.; Zicari, P. | |
A Deep Anomaly Detection System for IoT-Based Smart Buildings | 1-gen-2023 | Cicero, Simona; Guarascio, Massimo; Guerrieri, Antonio; Mungari, Simone | |
A Federated Approach for Detecting Data Hidden in Icons of Mobile Applications Delivered via Web and Multiple Stores | 1-gen-2023 | Nunziato Cassavia; Luca Caviglione; Massimo Guarascio; Angelica Liguori; Giuseppe Manco; Marco Zuppelli | |
An Explainable Deep Ensemble Framework for Intelligent Ticket Management | 1-gen-2023 | Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi; Zicari, Paolo | |
Emerging Challenges and Perspectives in Deep Learning Model Security: A Brief Survey | 1-gen-2023 | Luca Caviglione; Carmela Comito; Massimo Guarascio; Giuseppe Manco | |
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems | 1-gen-2023 | Cassavia, Nunziato; Caviglione, Luca; Guarascio, Massimo; Liguori, Angelica; Zuppelli, Marco | |
Learning ensembles of deep neural networks for extreme rainfall event detection | 1-gen-2023 | Folino, Gianluigi; Guarascio, Massimo; Chiaravalloti, Francesco | |
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels | 1-gen-2023 | Barbara, Vito; Guarascio, Massimo; Leone, Nicola; Manco, Giuseppe; Quarta, Alessandro; Ricca, Francesco; Ritacco, Ettore | |
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection | 1-gen-2022 | Guarascio, Massimo; Cassavia, Nunziato; Pisani, Francesco Sergio; Manco, Giuseppe | |
Combining deep ensemble learning and explanation for intelligent ticket management | 1-gen-2022 | Zicari, P; Folino, G; Guarascio, M; Pontieri, L | |
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning | 1-gen-2022 | Cassavia, N; Caviglione, L; Guarascio, M; Manco, G; Zuppelli, Marco | |
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs | 1-gen-2022 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi | |
On learning effective ensembles of deep neural networks for intrusion detection | 1-gen-2021 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pisani, FRANCESCO SERGIO; Pontieri, Luigi | |
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources | 1-gen-2020 | Guarascio, M; Folino, G; Chiaravalloti, F; Gabriele, S; Procopio, A; Sabatino, P | |
Using Deep Learning and Data Integration for Accurate Rainfall Estimates | 1-gen-2020 | Folino, Gianluigi; Guarascio, Massimo; Chiaravalloti, Francesco; Gabriele, Salvatore | |
Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts | 1-gen-2019 | Gianluigi Folino;Massimo Guarascio;Giuseppe Papuzzo | |
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events | 1-gen-2019 | Cuzzocrea, A; Folino, F; Guarascio, M; Pontieri, L | |
Deviance-Aware Discovery of High-Quality Process Models | 1-gen-2018 | Cuzzocrea, Alfredo; Folino, Francesco; Guarascio, Massimo; Pontieri, Luigi |