Massimo Guarascio
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
14
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISMIS | Boosting SSVEP Multi-subject Classification Through Mixture of ResNet-Based Experts. | Francesco Capria, Franco Cicirelli, Alberto Falcone, Massimo Guarascio, Antonio Guerrieri |
| 2026 | ISMIS | MalARN: An Adversarial Reconstruction Network for Improving Detection of Evolving Malware. | Francesco Pasqualatto, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Ettore Ritacco, Antonino Rullo |
| 2025 | DIS | Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection. | Francesco Scala, Massimo Guarascio, Carlo Parrotta, Luigi Pontieri |
| 2025 | ICCSA | Detecting DDoS Attacks in Microservice Architectures via AI-Based Agents. | Giacomo Benedetti, Luca Caviglione, Alberto Falcone, Massimo Ficco, Massimo Guarascio, Antonio Guerriero |
| 2025 | ICDM | Days of Future Past: Towards Robust Detection of Malware Variants via LLM-Based Embedding Generation. | Giacomo Benedetti, Luca Caviglione, Michal Choras, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Antonino Rullo |
| 2024 | DIS | Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection. | Carmela Comito, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani |
| 2024 | ISMIS | Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders. | Angelica Liguori, Marco Zuppelli, Daniela Gallo, Massimo Guarascio, Luca Caviglione |
| 2024 | MASCOTS | Mitigation of Covert Communications in MQTT Topics Through Small Language Models. | Camilla Cespi Polisiani, Marco Zuppelli, Maria Carla Calzarossa, Luca Caviglione, Massimo Guarascio |
| 2023 | COMPLEXIS | ALARP in Engineering: Risk Based Design and CBA. | Emin Alakbarli, Mohammad Mehdi Hamedanian, Massimo Guarascio |
| 2023 | DASC | Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning. | Irfanullah Khan, Flvia Coimbra Delicato, Emilio Greco, Massimo Guarascio, Antonio Guerrieri, Giandomenico Spezzano |
| 2023 | IDEAS | Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction. | Erica Coppolillo, Massimo Guarascio, Marco Minici, Francesco Sergio Pisani |
| 2022 | ICTAI | Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders. | Nunziato Cassavia, Francesco Folino, Massimo Guarascio |
| 2022 | ISMIS | Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems. | Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Marco Zuppelli |
| 2022 | ISMIS | Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery. | Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri |
| 2022 | ISMIS | Learning and Explanation of Extreme Multi-label Deep Classification Models for Media Content. | Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Erika De Francesco, Pasquale Lambardi |
| 2021 | SAC | Discovering accurate deep learning based predictive models for automatic customer support ticket classification. | Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri |
| 2020 | ISMIS | Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. | Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco |
| 2019 | IJCNN | A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources. | Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele |
| 2019 | ICTAI | Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. | Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri |
| 2018 | IDEAS | A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events. | Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri |
| 2017 | ICTAI | Deviance-Aware Discovery of High Quality Process Models. | Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri |
| 2017 | SAC | A descriptive clustering approach to the analysis of quantitative business-process deviances. | Francesco Folino, Massimo Guarascio, Luigi Pontieri |
| 2016 | IJCNN | A multi-view multi-dimensional ensemble learning approach to mining business process deviances. | Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri |
| 2015 | EDOC | A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators. | Francesco Folino, Massimo Guarascio, Luigi Pontieri |
| 2014 | CaiSE | Mining Predictive Process Models out of Low-level Multidimensional Logs. | Francesco Folino, Massimo Guarascio, Luigi Pontieri |
| 2012 | CaiSE | ProMetheuS: A Suite for Process Mining Applications. | Lucantonio Ghionna, Luigi Granata, Gianluigi Greco, Massimo Guarascio |
| 2010 | ICDM | A Block Mixture Model for Pattern Discovery in Preference Data. | Nicola Barbieri, Massimo Guarascio, Giuseppe Manco |
| 2010 | SAC | Mining models of exceptional objects through rule learning. | Gianni Costa, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale |
| 2009 | DaWaK | Rule Learning with Probabilistic Smoothing. | Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco |
| 2009 | ICDM | High Quality True-Positive Prediction for Fiscal Fraud Detection. | Stefano Basta, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Fosca Giannotti, Dino Pedreschi, Laura Spinsanti, Gianfilippo Papi, Stefano Pisani |