Massimo Guarascio

105 papers A 1B 11C 7Misc 3Journal 31Unranked 47
YearRankTypeTitle / Venue / Authors
2026 J jnl
A deep learning-based approach for stegomalware sanitization in digital images.
J. Intell. Inf. Syst.
Angelica Liguori, Marco Zuppelli, Daniela Gallo, Massimo Guarascio, Luca Caviglione
2026 J jnl
DALEK: combining deep active learning and explanations methods for fake news detection on COVID-19.
Neural Comput. Appl.
Carmela Comito, Massimo Guarascio, Angelica Liguori, Francesco Sergio Pisani
2026 J jnl
Deobfuscation of JavaScript code and identification of security weaknesses through large language models.
Future Gener. Comput. Syst.
Giacomo Benedetti, Luca Caviglione, Carmela Comito, Alberto Falcone, Massimo Guarascio
2026 J jnl
Seeing the invisible: Detection of stealth DoS attacks using variational U-Net-like models.
J. Inf. Secur. Appl.
Enrico Cambiaso, Francesco Folino, Massimo Guarascio, Angelica Liguori, Antonino Rullo
2025 J jnl
Breaking domain barriers: mixture of experts for cross-domain fake news detection.
Mach. Learn.
Angelica Liguori, Francesco Sergio Pisani, Carmela Comito, Massimo Guarascio, Giuseppe Manco
2025 — conf
Days of Future Past: Towards Robust Detection of Malware Variants via LLM-Based Embedding Generation.
ICDM (Workshops)
Giacomo Benedetti, Luca Caviglione, Michal Choras, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Antonino Rullo
2025 — conf
Detecting DDoS Attacks in Microservice Architectures via AI-Based Agents.
ICCSA (Workshops 4)
Giacomo Benedetti, Luca Caviglione, Alberto Falcone, Massimo Ficco, Massimo Guarascio, Antonio Guerriero
2025 J jnl
Discovering Domain-Agnostic Fake News Detectors Through Deep Self-Supervised Learning.
IEEE Access
Carmela Comito, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani
2025 J jnl
Discovering ensembles of small language models out of scarcely labelled data for fake news detection.
Appl. Soft Comput.
Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
2025 — conf
From Edge to Cloud: Securing Distributed Containerized Applications.
EuroS&P (Workshops)
Luca Verderame, Giorgia Bolognesi, Enrico Pezzano, Massimiliano Rak, Alberto Falcone, Giacomo Benedetti, Massimo Guarascio, Luca Caviglione, Roberto Carbone, Roberto Doriguzzi Corin, Maurizio Giacobbe, Giovanni Merlino, Antonio Puliafito, Massimiliano Baldo, Marino Miculan, Vincenzo Riccio, Massimo Ficco
2025 — conf
Improving MQTT Security Through the Generation of Malicious Test Cases.
ITASEC/SERICS
Camilla Cespi Polisiani, Maria Carla Calzarossa, Marco Zuppelli, Luca Caviglione, Massimo Guarascio
2025 — conf
Large language models in the software supply chain: challenges and opportunities.
Ital-IA
Giacomo Benedetti, Luca Caviglione, Carmela Comito, Daniela Gallo, Alberto Falcone, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo
2025 B conf
Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection.
DS
Francesco Scala, Massimo Guarascio, Carlo Parrotta, Luigi Pontieri
2025 J jnl
M3DUSA: A Modular Multi-Modal Deep fUSion Architecture for fake news detection on social media.
Soc. Netw. Anal. Min.
Liliana Martirano, Carmela Comito, Massimo Guarascio, Francesco Sergio Pisani, Paolo Zicari
2025 J jnl
The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding.
Soft Comput.
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2024 — conf
A Deep Neural Framework for Fault Detection in IoT-Based Sensor Networks.
ASONAM (Workshops)
Simona Cicero, Massimo Guarascio, Antonio Guerrieri, Simone Mungari, Andrea Vinci
2024 — conf
A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures.
EuroS&P Workshops
Luca Caviglione, Massimo Guarascio, Francesco Sergio Pisani, Marco Zuppelli
2024 — conf
Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection.
DS (2)
Carmela Comito, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani
2024 J jnl
Boosting MATE Security through Small Language Models.
ERCIM News
Luca Caviglione, Gianluigi Folino, Massimo Guarascio, Paolo Zicari
2024 J jnl
Data- & compute-efficient deviance mining via active learning and fast ensembles.
J. Intell. Inf. Syst.
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2024 — conf
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity.
Ital-IA
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
2024 C conf
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders.
ISMIS
Angelica Liguori, Marco Zuppelli, Daniela Gallo, Massimo Guarascio, Luca Caviglione
2024 J jnl
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems.
J. Intell. Inf. Syst.
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Marco Zuppelli
2024 B conf
Mitigation of Covert Communications in MQTT Topics Through Small Language Models.
MASCOTS
Camilla Cespi Polisiani, Marco Zuppelli, Maria Carla Calzarossa, Luca Caviglione, Massimo Guarascio
2024 J jnl
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation.
J. Intell. Inf. Syst.
Massimo Guarascio, Marco Minici, Francesco Sergio Pisani, Erika De Francesco, Pasquale Lambardi
2024 B conf
No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls.
ARES
Marco Zuppelli, Massimo Guarascio, Luca Caviglione, Angelica Liguori
2024 J jnl
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models.
SN Comput. Sci.
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
2023 J jnl
A Deep Anomaly Detection System for IoT-Based Smart Buildings.
Sensors
Simona Cicero, Massimo Guarascio, Antonio Guerrieri, Simone Mungari
2023 J jnl
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores.
Soc. Netw. Anal. Min.
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Zuppelli
2023 J jnl
An Explainable Deep Ensemble Framework for Intelligent Ticket Management.
ERCIM News
Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
2023 — conf
Explainable Process Deviance Discovery with Data-Efficient Deep Learning.
NUMTA (1)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2023 C conf
Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction.
IDEAS
Erica Coppolillo, Massimo Guarascio, Marco Minici, Francesco Sergio Pisani
2023 — conf
Fighting Misinformation, Radicalization and Bias in Social Media.
Ital-IA
Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco
2023 — conf
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora.
ICEIS (1)
Paolo Zicari, Massimo Guarascio, Luigi Pontieri, Gianluigi Folino
2023 J jnl
Learning ensembles of deep neural networks for extreme rainfall event detection.
Neural Comput. Appl.
Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti
2023 J jnl
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels.
CoRR
Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
2023 J jnl
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels.
Theory Pract. Log. Program.
Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
2023 — conf
ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper).
SEBD
Luca Caviglione, Carmela Comito, Massimo Guarascio, Giuseppe Manco, Francesco Sergio Pisani, Marco Zuppelli
2023 — conf
Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning.
DASC/PiCom/CBDCom/CyberSciTech
Irfanullah Khan, Flávia Coimbra Delicato, Emilio Greco, Massimo Guarascio, Antonio Guerrieri, Giandomenico Spezzano
2023 — conf
Towards Self-Supervised Cross-Domain Fake News Detection.
ITASEC
Carmela Comito, Francesco Sergio Pisani, Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Giuseppe Manco
2023 — conf
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities.
Ital-IA
Angelica Liguori, Simone Mungari, Marco Zuppelli, Carmela Comito, Enrico Cambiaso, Matteo Repetto, Massimo Guarascio, Luca Caviglione, Giuseppe Manco
2022 — conf
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels.
CILC
Vito Barbara, Dimitri Buelli, Massimo Guarascio, Stefano Ierace, Salvatore Iiritano, Giovanni Laboccetta, Nicola Leone, Giuseppe Manco, Valerio Pesenti, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
2022 J jnl
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources.
IEEE Trans. Geosci. Remote. Sens.
Massimo Guarascio, Gianluigi Folino, Francesco Chiaravalloti, Salvatore Gabriele, Antonio Procopio, Pietro Sabatino
2022 J jnl
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection.
Future Gener. Comput. Syst.
Massimo Guarascio, Nunziato Cassavia, Francesco Sergio Pisani, Giuseppe Manco
2022 C conf
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery.
ISMIS
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2022 J jnl
Combining deep ensemble learning and explanation for intelligent ticket management.
Expert Syst. Appl.
Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2022 B conf
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders.
ICTAI
Nunziato Cassavia, Francesco Folino, Massimo Guarascio
2022 — conf
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning.
ITASEC
Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Giuseppe Manco, Luca Caviglione
2022 J jnl
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Giuseppe Manco, Marco Zuppelli
2022 C conf
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems.
ISMIS
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Marco Zuppelli
2022 — conf
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons.
PerSOM
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Surace, Marco Zuppelli
2022 — conf
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review.
CyberSec4Europe
Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Francesco Sergio Pisani, Giuseppe Manco
2022 C conf
Learning and Explanation of Extreme Multi-label Deep Classification Models for Media Content.
ISMIS
Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Erika De Francesco, Pasquale Lambardi
2022 B conf
Revealing MageCart-like Threats in Favicons via Artificial Intelligence.
ARES
Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Luca Caviglione, Giuseppe Manco
2022 J jnl
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs.
Bus. Inf. Syst. Eng.
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2022 — conf
Towards Extreme Multi-Label Classification of Multimedia Content.
SEBD
Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco
2021 Misc conf
Discovering accurate deep learning based predictive models for automatic customer support ticket classification.
SAC
Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2021 J jnl
On learning effective ensembles of deep neural networks for intrusion detection.
Inf. Fusion
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Francesco Sergio Pisani, Luigi Pontieri
2021 — conf
Sanitization of Images Containing Stegomalware via Machine Learning Approaches.
ITASEC
Marco Zuppelli, Giuseppe Manco, Luca Caviglione, Massimo Guarascio
2020 — conf
A Deep Learning Approach for Detecting Security Attacks on Blockchain.
ITASEC
Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco
2020 — conf
A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances.
PKDD/ECML Workshops
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2020 C conf
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain.
ISMIS
Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco
2020 — conf
Exploiting Temporal Convolution for Activity Prediction in Process Analytics.
PKDD/ECML Workshops
Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco
2020 J jnl
Using Deep Learning and Data Integration for Accurate Rainfall Estimates.
ERCIM News
Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele
2019 B conf
A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources.
IJCNN
Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele
2019 — ch.
Deep Learning on Big Data.
Encyclopedia of Big Data Technologies
Gianluigi Folino, Massimo Guarascio, Maryam Amir Haeri
2019 — ch.
Deep Learning.
Encyclopedia of Bioinformatics and Computational Biology (1)
Massimo Guarascio, Giuseppe Manco, Ettore Ritacco
2019 — conf
Deep Sequential Modeling for Recommendation.
SEBD
Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio
2019 J jnl
Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts.
Appl. Soft Comput.
Gianluigi Folino, Massimo Guarascio, Giuseppe Papuzzo
2019 — ch.
Knowledge Discovery in Databases.
Encyclopedia of Bioinformatics and Computational Biology (1)
Massimo Guarascio, Giuseppe Manco, Ettore Ritacco
2019 B conf
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data.
ICTAI
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2019 — ch.
Network Models.
Encyclopedia of Bioinformatics and Computational Biology (1)
Massimo Guarascio, Giuseppe Manco, Ettore Ritacco
2019 — ch.
Network Topology.
Encyclopedia of Bioinformatics and Computational Biology (1)
Giuseppe Manco, Ettore Ritacco, Massimo Guarascio
2019 J jnl
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events.
Inf. Syst.
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2018 C conf
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events.
IDEAS
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2018 J jnl
Deviance-Aware Discovery of High-Quality Process Models.
Int. J. Artif. Intell. Tools
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017 Misc conf
A descriptive clustering approach to the analysis of quantitative business-process deviances.
SAC
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017 B conf
Deviance-Aware Discovery of High Quality Process Models.
ICTAI
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017 — conf
Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework Based on Ensemble Learning.
ICEIS (Revised Selected Papers)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017 — conf
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-learning Framework for Detecting Deviances in Business Process Instances.
ICEIS (1)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017 — conf
Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform.
NFMCP@PKDD/ECML
Massimo Guarascio, Ettore Ritacco, Daniele Biondo, Rocco Mammoliti, Alessandra Toma
2016 — conf
A Cloud-Based Prediction Framework for Analyzing Business Process Performances.
CD-ARES
Eugenio Cesario, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016 J jnl
A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances.
Int. J. Cooperative Inf. Syst.
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016 B conf
A multi-view multi-dimensional ensemble learning approach to mining business process deviances.
IJCNN
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016 — conf
Profiling Human Behavior Through Multidimensional Latent Factor Modeling.
NFMCP@PKDD/ECML
Massimo Guarascio, Francesco Sergio Pisani, Ettore Ritacco, Pietro Sabatino
2015 — conf
A Multi-view Learning Approach to the Discovery of Deviant Process Instances.
OTM Conferences
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015 B conf
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators.
EDOC
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015 — conf
Mining Multi-variant Process Models from Low-Level Logs.
BIS
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015 — conf
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes.
ICEIS (1)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2014 — conf
A Framework for the Discovery of Predictive Fix-time Models.
ICEIS (1)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2014 — conf
An Approach to the Discovery of Accurate and Expressive Fix-Time Prediction Models.
ICEIS (Revised Selected Papers)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2014 A conf
Mining Predictive Process Models out of Low-level Multidimensional Logs.
CAiSE
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013 — conf
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances.
ICEIS
Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013 — conf
A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances.
ICEIS (1)
Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013 — conf
Adaptive Trace Abstraction Approach for Predicting Business Process Performances.
SEBD
Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013 — conf
Discovering High-Level Performance Models for Ticket Resolution Processes.
OTM Conferences
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2012 — conf
Context-Aware Predictions on Business Processes: An Ensemble-Based Solution.
NFMCP
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2012 — conf
Discovering Context-Aware Models for Predicting Business Process Performances.
OTM Conferences (1)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2012 — conf
ProMetheuS: A Suite for Process Mining Applications.
CAiSE Forum
Lucantonio Ghionna, Luigi Granata, Gianluigi Greco, Massimo Guarascio
2010 — conf
A Block Mixture Model for Pattern Discovery in Preference Data.
ICDM Workshops
Nicola Barbieri, Massimo Guarascio, Giuseppe Manco
2010 — conf
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data.
IIR
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
2010 Misc conf
Mining models of exceptional objects through rule learning.
SAC
Gianni Costa, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale
2009 — conf
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains.
SEBD
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2009 — conf
High Quality True-Positive Prediction for Fiscal Fraud Detection.
ICDM Workshops
Stefano Basta, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Fosca Giannotti, Dino Pedreschi, Laura Spinsanti, Gianfilippo Papi, Stefano Pisani
2009 B conf
Rule Learning with Probabilistic Smoothing.
DaWaK
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco