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ORCIDFrancesco Sergio Pisani
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2020 – today
- 2024
[j10]Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino:
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques. J. Big Data 11(1): 77 (2024)- [j9]Massimo Guarascio
, Marco Minici, Francesco Sergio Pisani, Erika De Francesco, Pasquale Lambardi:
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation. J. Intell. Inf. Syst. 62(4): 1021-1043 (2024) - [j8]Angelica Liguori, Ettore Ritacco, Francesco Sergio Pisani, Giuseppe Manco:
Robust anomaly detection via adversarial counterfactual generation. Knowl. Inf. Syst. 66(12): 7437-7468 (2024) - [j7]Erica Coppolillo, Marco Minici, Ettore Ritacco, Luciano Caroprese, Francesco Sergio Pisani, Giuseppe Manco:
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 74:1-74:27 (2024) - [c23]Luca Caviglione, Massimo Guarascio, Francesco Sergio Pisani, Marco Zuppelli:
A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures. EuroS&P Workshops 2024: 731-739 - [c22]Luca Caviglione, Carmela Comito, Erica Coppolillo, Daniela Gallo, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Minici, Simone Mungari, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo, Paolo Zicari, Marco Zuppelli:
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. Ital-IA 2024: 170-175 - [c21]Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino, Luigi Pontieri:
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain. PDP 2024: 245-252 - 2023
- [j6]Gianluigi Folino, Carla Otranto Godano, Francesco Sergio Pisani:
An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity. J. Supercomput. 79(11): 11660-11683 (2023) - [c20]Erica Coppolillo, Massimo Guarascio, Marco Minici, Francesco Sergio Pisani:
Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction. IDEAS 2023: 177-184 - [c19]Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco:
Fighting Misinformation, Radicalization and Bias in Social Media. Ital-IA 2023: 443-448 - [c18]Carmela Comito, Francesco Sergio Pisani, Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Giuseppe Manco:
Towards Self-Supervised Cross-Domain Fake News Detection. ITASEC 2023 - [c17]Luca Caviglione, Carmela Comito, Massimo Guarascio, Giuseppe Manco, Francesco Sergio Pisani, Marco Zuppelli:
ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper). SEBD 2023: 514-524 - 2022
- [j5]Massimo Guarascio, Nunziato Cassavia, Francesco Sergio Pisani, Giuseppe Manco:
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection. Future Gener. Comput. Syst. 135: 30-43 (2022) - [c16]Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Francesco Sergio Pisani, Giuseppe Manco:
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review. CyberSec4Europe 2022: 65-79 - [c15]Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Erika De Francesco, Pasquale Lambardi:
Learning and Explanation of Extreme Multi-label Deep Classification Models for Media Content. ISMIS 2022: 138-148 - [c14]Gianluigi Folino, Carla Otranto Godano, Francesco Sergio Pisani:
A Scalable Architecture Exploiting Elastic Stack and Meta Ensemble of Classifiers for Profiling User Behaviour. PDP 2022: 189-196 - [c13]Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco:
Towards Extreme Multi-Label Classification of Multimedia Content. SEBD 2022: 367-374 - [i2]Gianluigi Folino, Francesco Sergio Pisani, Carla Otranto Godano:
A Scalable Ensemble-based Framework to Analyse Users? Digital Footprints for Cybersecurity. ERCIM News 2022(129): 0 (2022) - 2021
- [j4]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Francesco Sergio Pisani, Luigi Pontieri:
On learning effective ensembles of deep neural networks for intrusion detection. Inf. Fusion 72: 48-69 (2021) - [c12]Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco:
Adversarial Regularized Reconstruction for Anomaly Detection and Generation. ICDM 2021: 1204-1209 - [c11]Luciano Caroprese, Giuseppe Manco, Marco Minici, Francesco Sergio Pisani, Ettore Ritacco:
Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). SEBD 2021: 450-457 - 2020
- [j3]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri:
A GP-based ensemble classification framework for time-changing streams of intrusion detection data. Soft Comput. 24(23): 17541-17560 (2020)
2010 – 2019
- 2019
- [c10]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino, Maryam Amir Haeri:
Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks. GECCO (Companion) 2019: 167-168 - [c9]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri:
A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning. NUMTA(1) 2019: 269-277 - 2017
- [c8]Gianluigi Folino, Francesco Sergio Pisani:
A Software Architecture for Classifying Users in E-payment Systems. ITASEC 2017: 76-85 - 2016
- [j2]Gianluigi Folino, Francesco Sergio Pisani:
Evolving meta-ensemble of classifiers for handling incomplete and unbalanced datasets in the cyber security domain. Appl. Soft Comput. 47: 179-190 (2016) - [c7]Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino:
A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers. EvoApplications (1) 2016: 315-331 - [c6]Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino:
An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets. GECCO (Companion) 2016: 1103-1110 - [c5]Massimo Guarascio, Francesco Sergio Pisani, Ettore Ritacco, Pietro Sabatino:
Profiling Human Behavior Through Multidimensional Latent Factor Modeling. NFMCP@PKDD/ECML 2016: 148-162 - 2015
- [c4]Gianluigi Folino, Francesco Sergio Pisani:
Combining Ensemble of Classifiers by Using Genetic Programming for Cyber Security Applications. EvoApplications 2015: 54-66 - 2014
- [j1]Gianluigi Folino, Francesco Sergio Pisani:
Automatic offloading of mobile applications into the cloud by means of genetic programming. Appl. Soft Comput. 25: 253-265 (2014) - [c3]Gianluigi Folino, Francesco Sergio Pisani:
Modeling the Offloading of Different Types of Mobile Applications by Using Evolutionary Algorithms. EvoApplications 2014: 86-97 - [c2]Gianluigi Folino, Francesco Sergio Pisani, Paolo Trunfio:
Efficient discovery of data mining services over DHT-based overlays. HPCS 2014: 484-490 - 2013
- [c1]Gianluigi Folino, Francesco Sergio Pisani:
A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming. EvoApplications 2013: 62-71 - [i1]Gianluigi Folino, Francesco Sergio Pisani:
Automatic Offloading of Mobile Applications Using Evolutionary Algorithms. ERCIM News 2013(93) (2013)
Coauthor Index
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