Publications
This page presents my publications grouped by year. Select a topic tag to see all publications associated with it.
For a complete and current citation record, see Google Scholar and ORCID.
Andrea, D’Angelo, Savelli Claudio, Tagliente Gabriele, et al. 2025. “How to Make Reproducible Research in Machine Unlearning with ERASURE.” Proceedings of the Thirty-Fourth International Joint Conference onArtificial Intelligence,\(\{\)IJCAI-25\(\}\), 11025–29.
Antonelli-Dziri, Niccoló, Sixtine Marcotte, Emanuele Rosapepe, et al. 2026. “GuysLLM at SemEval-2026 Task 5: NLI-Informed Regression for Graded Word-Sense Plausibility in Narrative Contexts.” Proceedings of the 20th International Workshop on Semantic Evaluation (2026), 2487–94.
Arnaudo, Anna, Riccardo Coppola, Flavio Giobergia, et al. 2026. “Automated Black-Box Testing: A Comparative Study of LLM Agent Architectures and Prompt Engineering.” 2026 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 29–36.
Arnaudo, Anna, Riccardo Coppola, Maurizio Morisio, et al. 2026. “Evaluating LLM-Based Goal Extraction in Requirements Engineering: Prompting Strategies and Their Limitations.” arXiv Preprint arXiv:2604.22207.
Arslan, Hüseyin, Evren Ayberk Munis, Timofei Khudonogov, et al. 2026. “MALTO at SemEval-2026 Task 13: Detecting Human, AI, and Hybrid Code via Hard Negative Mining and Curriculum-Driven Ensembles.” Proceedings of the 20th International Workshop on Semantic Evaluation (2026), 2413–20.
Attanasio, Giuseppe, Flavio Giobergia, Andrea Pasini, et al. 2020. “DSLE: A Smart Platform for Designing Data Science Competitions.” 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 133–42.
Borra, Federico, Claudio Savelli, Giacomo Rosso, Alkis Koudounas, and Flavio Giobergia. 2024. “Malto at Semeval-2024 Task 6: Leveraging Synthetic Data for Llm Hallucination Detection.” Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024).
Buccelli, Giorgia Rosalia, Antonella Coviello, Alexandra Elena Holota, et al. 2026. “MINDS at SemEval-2026-Task 13: Robust Detection of Machine-Generated Code Under Distribution Shift.” Proceedings of the 20th International Workshop on Semantic Evaluation (2026), 3080–88.
Çelik, Murat, Nejla Dinçer, Can Ersoy, et al. 2026. “Polito Team at Semeval-2026 Task 8: Scaling Multi-Turn RAG: High-Performance Parallelized Pipeline for the MTRAG Benchmark.” Proceedings of the 20th International Workshop on Semantic Evaluation (2026), 2447–55.
Claudio, Savelli, Moreno La Quatra, Koudounas Alkis, Giobergia Flavio, et al. 2026. “SVELA at EVALITA 2026: Overview of the Selective Verification of Erasure from LLM Answers Task.” CEUR WORKSHOP PROCEEDINGS 4195.
Coppola, Riccardo, Tommaso Fulcini, Flavio Giobergia, et al. 2026. “Do Multi-Agent LLMs Improve Test Generation? A Study of Coverage, Mutation Score, and Cost.” Euromicro Conference on Software Engineering and Advanced Applications.
D’Angelo, Andrea, Claudio Savelli, Flavio Giobergia, Elena Baralis, and Giovanni Stilo. 2026. “On the Evaluation of Machine Unlearning Methods: A Multi-Domain Classification Benchmark.” Machine Learning 115 (7): 161.
D’Angelo, Andrea, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, and Giovanni Stilo. 2025. “ERASURE: A Modular and Extensible Framework for Machine Unlearning.” Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 6346–50.
Eskandari, Sina, Seyed Amirreza Mousavi, Amirreza Rahimi, et al. 2026. “MINDS at SemEval-2026-Task 1: Enhancing Humor Generation Through RAG and Synthetic DPO Alignment.” Proceedings of the 20th International Workshop on Semantic Evaluation (2026), 2967–71.
Fulcini, Tommaso, Riccardo Coppola, Flavio Giobergia, et al. 2025. “Enhancing Software Maintainability Through LLM-Assisted Code Refactoring.” International Conference on Product-Focused Software Process Improvement, 153–68.
Giobergia, Flavio. 2022. “Triplet Losses-Based Matrix Factorization for Robust Recommendations.” Proceedings of the CIKM 2022 Workshops.
Giobergia, Flavio. 2023. “Giobergia at Multi-Task Transformer Tuning for Joint Conspiracy Theory Detection and Classification.” EVALITA.
Giobergia, Flavio. 2025a. “MINDS at SemEval-2025 Task 8: Question Answering over Tabular Data via Large Language Model-Generated SQL Queries.” Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 2219–24.
Giobergia, Flavio. 2025b. “MINDS at SemEval-2025 Task 9: Multi-Task Transformers for Food Hazard Coarse-Fine Classification.” Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 2213–18.
Giobergia, Flavio. 2026a. “MINDS at Cruciverb-IT: Solving Italian Crossword Clues with Masked Language Models and Candidate Pooling.” EVALITA.
Giobergia, Flavio. 2026b. “MINDS at DeSegMa-IT: Detecting Human-LLM Authorship Switches via Token-Level Classification.” EVALITA.
Giobergia, Flavio. 2026c. MINDS at GSI:detect: From Logits to Degrees of Agreement in Gender Stereotype Detection with LLMs.
Giobergia, Flavio, and Elena Baralis. 2019. “Fast Self-Organizing Maps Training.” 2019 IEEE International Conference on Big Data (Big Data), 2257–66.
Giobergia, Flavio, and Elena Baralis. 2022. “Reclaim: Reverse Engineering Classification Metrics.” 2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 106–13.
Giobergia, Flavio, and Elena Baralis. 2023. “Late Fusion-Based Distributed Multimodal Learning.” 2023 IEEE International Conference on Big Data (BigData), 2152–56.
Giobergia, Flavio, Elena Baralis, Maria Camuglia, et al. 2018. “Mining Sensor Data for Predictive Maintenance in the Automotive Industry.” 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 351–60.
Giobergia, Flavio, Luca Cagliero, Paolo Garza, and Elena Baralis. 2020. “Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment.” EDBT/ICDT Workshops, 8–10.
Giobergia, Flavio, Alkis Koudounas, and Elena Baralis. 2023. “Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning.” 2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT), 1–6.
Giobergia, Flavio, Alkis Koudounas, and Elena Baralis. 2024. “Large Language Models-Aided Literature Reviews: A Study on Few-Shot Relevance Classification.” 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT), 1–5.
Giobergia, Flavio, Eliana Pastor, Luca De Alfaro, and Elena Baralis. 2024. “A Synthetic Benchmark to Explore Limitations of Localized Drift Detections.” International Workshop on Discovering Drift Phenomena in Evolving Landscapes, 101–10.
Giobergia, Flavio, Eliana Pastor, Luca De Alfaro, and Elena Baralis. 2025. “Detecting Interpretable Subgroup Drifts.” Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining v. 1, 366–77.
Giobergia, Flavio, and Claudio Savelli. 2026. “Differentiable Synthetic Dataset Generation for Non-Trivial Regression Tasks.” EDBT/ICDT Workshops.
Giobergia, Flavio, Claudio Savelli, Alkis Koudounas, Elena Baralis, et al. 2025. “Quantum Feature Selection from Interpretable Models Using a QUBO Formulation.” CLEF (Working Notes), 4124–32.
Giordano, Danilo, Flavio Giobergia, Eliana Pastor, et al. 2022. “Data-Driven Strategies for Predictive Maintenance: Lesson Learned from an Automotive Use Case.” Computers in Industry 134: 103554.
Giordano, Danilo, Eliana Pastor, Flavio Giobergia, et al. 2021. “Dissecting a Data-Driven Prognostic Pipeline: A Powertrain Use Case.” Expert Systems with Applications 180: 115109.
Iannielli, Angelo, Samuele Maroli, Marco Roberto, et al. 2026. “MINDS at SemEval-2026 Task 9: A Multi-Paradigm Approach to Cross-Lingual Polarization Detection.” Proceedings of the 20th International Workshop on Semantic Evaluation (2026), 2475–86.
Koudounas, Alkis, and Flavio Giobergia. 2024. “Houston We Have a Divergence: A Subgroup Performance Analysis of Asr Models.” 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 812–13.
Koudounas, Alkis, Flavio Giobergia, and Elena Baralis. 2022. “Time-of-Flight Cameras in Space: Pose Estimation with Deep Learning Methodologies.” 2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT), 1–6.
Koudounas, Alkis, Flavio Giobergia, and Elena Baralis. 2023. “Bad Exoplanet! Explaining Degraded Performance When Reconstructing Exoplanets Atmospheric Parameters.” NeurIPS 2023 AI for Science Workshop.
Koudounas, Alkis, Flavio Giobergia, and Elena Baralis. 2024. “Ex (o) Plain: Subgroup-Level Analysis of Exoplanet Atmospheric Parameters.” IEEE Access 12: 139773–88.
Koudounas, Alkis, Flavio Giobergia, Irene Benedetto, et al. 2023. “Ba\(\rho\)tti at Geolingit: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy.” CEUR Workshop Proceedings. CEUR.
Koudounas, Alkis, Flavio Giobergia, Eliana Pastor, and Elena Baralis. 2024. “A Contrastive Learning Approach to Mitigate Bias in Speech Models.” Proc. Interspeech 2024, 827–31.
Koudounas, Alkis, Eliana Pastor, Flavio Giobergia, and Elena Baralis. 2025. “Divergence-Aware Approaches to Mitigate Subgroup Disparities in Speech Models.” SEBD, 434–45.
Koudounas, Alkis, Claudio Savelli, Flavio Giobergia, and Elena Baralis. 2025. “" Alexa, Can You Forget Me?" Machine Unlearning Benchmark in Spoken Language Understanding.” Interspeech 20235.
Lolli, Andrea, Chiara Lunazzi, Riccardo Coppola, and Flavio Giobergia. 2026. “ES4MLL at SemEval-2026 Task 2: Set Attention Aggregation and Recurrent Temporal Modeling for Longitudinal Affect Prediction.” Proceedings of the 20th International Workshop on Semantic Evaluation (2026), 720–26.
Mickus, Timothee, Claudio Savelli, Eduardo Calò, et al. 2026. “Can Humans Dream of Electric Sheep? Human-Written Samples for Fine-Grained Vision-and-Language Hallucination Benchmarking.” arXiv Preprint arXiv:2608.01021.
Monaco, Simone, Nicole Bussola, Sara Buttò, et al. 2024. “AI Models for Automated Segmentation of Engineered Polycystic Kidney Tubules.” Scientific Reports 14 (1): 2847.
Monaco, Simone, Flavio Giobergia, Alkis Koudounas, and Daniele Apiletti. 2026. “Enforcing Domain Constraints Through Lagrangian Primal-Dual Learning.” Neural Computing and Applications 38 (7): 191.
Paoletti, Giordano, Flavio Giobergia, Danilo Giordano, et al. 2025. “MAD: Multicriteria Anomaly Detection of Suspicious Financial Accounts from Billions of Cash Transactions.” Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining v. 2, 4751–60.
Pasini, Andrea, Flavio Giobergia, Eliana Pastor, and Elena Baralis. 2022. “Semantic Image Collection Summarization with Frequent Subgraph Mining.” IEEE Access 10: 131747–64.
Pierri, Francesco, Anna Bernasconi, Flavio Giobergia, et al. 2025. “A Conceptual Map for Exploring the Landscape of Large Language Models.” IEEE Access.
Poeta, Eleonora, Flavio Giobergia, Eliana Pastor, Tania Cerquitelli, and Elena Baralis. 2024. “A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data.” 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT), 1–6.
Salami, Matin, Luca M Rodia, Vladimir Schiau, Evren A Munis, Claudio Savelli, and Flavio Giobergia. 2026. “MALTO at FadeIT: A BERT-Based System for Multi-Label Fallacy Detection in Italian Social Media.” EVALITA.
Savelli, Claudio, and Flavio Giobergia. 2024. “Enhancing Cross-Lingual Word Embeddings: Aligned Subword Vectors for Out-of-Vocabulary Terms in Fasttext.” 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT), 1–6.
Savelli, Claudio, Alkis Koudounas, and Flavio Giobergia. 2025. “MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation.” Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 1318–24.
Savelli, Claudio, Alkis Koudounas, Flavio Giobergia, and Elena Baralis. 2026. “UnSLU-BENCH+: Extended Machine Unlearning Benchmark for Spoken Language Understanding.” IEEE Transactions on Audio, Speech and Language Processing.
Savelli, Claudio, Moreno La Quatra, Alkis Koudounas, and Flavio Giobergia. 2026. “FAME: Fictional Actors for Multilingual Erasure.” Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026) 11: 2557–66.
Savelli, Claudio, Evren Munis, Erfan Bayat, Andrea Grieco, and Flavio Giobergia. 2025. “Malto at Semeval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in Llms.” Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 1747–52.
Siviero, Federico, Flavio Giobergia, Luca Menzio, et al. 2022. “First Experimental Results of the Spatial Resolution of RSD Pad Arrays Read Out with a 16-Ch Board.” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1041: 167313.
Tornago, M, F Giobergia, L Menzio, et al. 2023. “Silicon Sensors with Resistive Read-Out: Machine Learning Techniques for Ultimate Spatial Resolution.” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1047: 167816.
Ullasci, Martina, Marco Rondina, Riccardo Coppola, et al. 2026. “Analysis of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures.” Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering, 1656–66.