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2020 – today
- 2026
[j6]Simone Monaco
, Flavio Giobergia, Alkis Koudounas, Daniele Apiletti:
Enforcing domain constraints through Lagrangian primal-dual learning. Neural Comput. Appl. 38(7): 191 (2026)- [c31]Flavio Giobergia, Claudio Savelli:
Differentiable Synthetic Dataset Generation for Non-Trivial Regression Tasks. EDBT/ICDT Workshops 2026 - [c30]Flavio Giobergia:
MINDS at DeSegMa-IT: Detecting Human-LLM Authorship Switches via Token-Level Classification. EVALITA 2026 - [c29]Flavio Giobergia:
MINDS at GSI: detect: From Logits to Degrees of Agreement in Gender Stereotype Detection with LLMs. EVALITA 2026 - [c28]Flavio Giobergia:
MINDS at Cruciverb-IT: Solving Italian Crossword Clues with Masked Language Models and Candidate Pooling. EVALITA 2026 - [c27]Matin Salami, Luca M. Rodia, Vladimir Schiau, Evren A. Munis, Claudio Savelli, Flavio Giobergia:
MALTO at FadeIT: A BERT-Based System for Multi-Label Fallacy Detection in Italian Social Media. EVALITA 2026 - [c26]Claudio Savelli, Moreno La Quatra, Alkis Koudounas, Flavio Giobergia:
SVELA at EVALITA 2026: Overview of the Selective Verification of Erasure from LLM Answers Task. EVALITA 2026 - [i12]Martina Ullasci, Marco Rondina, Riccardo Coppola, Flavio Giobergia, Riccardo Bellanca, Gabriele Mancari Pasi, Luca Prato, Federico Spinoso, Silvia Tagliente:
Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures. CoRR abs/2603.18729 (2026) - [i11]Anna Arnaudo, Riccardo Coppola, Maurizio Morisio, Flavio Giobergia, Andrea Bioddo, Angelo Bongiorno, Luca Dadone:
Evaluating LLM-Based Goal Extraction in Requirements Engineering: Prompting Strategies and Their Limitations. CoRR abs/2604.22207 (2026) - 2025
- [j5]Francesco Pierri, Anna Bernasconi, Flavio Giobergia, Claudio Savelli, Elena Baralis, Luca Cagliero, Stefano Ceri:
A Conceptual Map for Exploring the Landscape of Large Language Models. IEEE Access 13: 190735-190744 (2025) - [c25]Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, Giovanni Stilo:
ERASURE: A Modular and Extensible Framework for Machine Unlearning. CIKM 2025: 6346-6350 - [c24]Flavio Giobergia, Claudio Savelli, Alkis Koudounas, Elena Baralis:
Quantum Feature Selection from Interpretable Models using a QUBO Formulation. CLEF (Working Notes) 2025: 4124-4132 - [c23]Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, Giovanni Stilo:
How to Make Reproducible Research in Machine Unlearning with ERASURE. IJCAI 2025: 11025-11029 - [c22]Alkis Koudounas, Claudio Savelli, Flavio Giobergia, Elena Baralis:
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding. INTERSPEECH 2025 - [c21]Flavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis:
Detecting Interpretable Subgroup Drifts. KDD (1) 2025: 366-377 - [c20]Giordano Paoletti, Flavio Giobergia, Danilo Giordano, Luca Cagliero, Silvia Ronchiadin, Dario Moncalvo, Marco Mellia, Elena Baralis:
MAD: Multicriteria Anomaly Detection of Suspicious Financial Accounts from Billions of Cash Transactions. KDD (2) 2025: 4751-4760 - [c19]Tommaso Fulcini, Riccardo Coppola, Flavio Giobergia, Amirali Changizi, Meelad Dashti, Kimia Dorrani, Domenico Amalfitano, Damiano Distante, Filippo Ricca:
Enhancing Software Maintainability Through LLM-Assisted Code Refactoring. PROFES 2025: 153-168 - [c18]Alkis Koudounas, Eliana Pastor, Flavio Giobergia, Elena Baralis:
Divergence-aware Approaches to Mitigate Subgroup Disparities in Speech Models. SEBD 2025: 434-445 - [c17]Claudio Savelli, Alkis Koudounas, Flavio Giobergia:
MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation. SemEval@ACL 2025: 1318-1324 - [c16]Claudio Savelli, Evren A. Munis, Erfan Bayat, Andrea Grieco, Flavio Giobergia:
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs. SemEval@ACL 2025: 1747-1752 - [c15]Flavio Giobergia:
MINDS at SemEval-2025 Task 9: Multi-Task Transformers for Food Hazard Coarse-Fine Classification. SemEval@ACL 2025: 2213-2218 - [c14]Flavio Giobergia:
MINDS at SemEval-2025 Task 8: Question Answering Over Tabular Data via Large Language Model-generated SQL Queries. SemEval@ACL 2025: 2219-2224 - [i10]Alkis Koudounas, Claudio Savelli, Flavio Giobergia, Elena Baralis:
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding. CoRR abs/2505.15700 (2025) - [i9]Claudio Savelli, Moreno La Quatra, Alkis Koudounas, Flavio Giobergia:
FAME: Fictional Actors for Multilingual Erasure. CoRR abs/2512.15235 (2025) - 2024
- [j4]Alkis Koudounas, Flavio Giobergia, Elena Baralis:
Ex(o)plain: Subgroup-Level Analysis of Exoplanet Atmospheric Parameters. IEEE Access 12: 139773-139788 (2024) - [c13]Flavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis:
A Synthetic Benchmark to Explore Limitations of Localized Drift Detections. DELTA 2024: 101-110 - [c12]Alkis Koudounas, Flavio Giobergia:
Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models. ICASSP Workshops 2024: 812-813 - [c11]Alkis Koudounas, Flavio Giobergia, Eliana Pastor, Elena Baralis:
A Contrastive Learning Approach to Mitigate Bias in Speech Models. INTERSPEECH 2024 - [c10]Federico Borra, Claudio Savelli, Giacomo Rosso, Alkis Koudounas, Flavio Giobergia:
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection. SemEval@NAACL 2024: 1678-1684 - [i8]Federico Borra, Claudio Savelli, Giacomo Rosso, Alkis Koudounas, Flavio Giobergia:
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection. CoRR abs/2403.00964 (2024) - [i7]Alkis Koudounas, Flavio Giobergia:
Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models. CoRR abs/2404.07226 (2024) - [i6]Eleonora Poeta, Flavio Giobergia, Eliana Pastor, Tania Cerquitelli, Elena Baralis:
A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data. CoRR abs/2406.14529 (2024) - [i5]Alkis Koudounas, Flavio Giobergia, Eliana Pastor, Elena Baralis:
A Contrastive Learning Approach to Mitigate Bias in Speech Models. CoRR abs/2406.14686 (2024) - [i4]Flavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis:
Detecting Interpretable Subgroup Drifts. CoRR abs/2408.14682 (2024) - [i3]Flavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis:
A Synthetic Benchmark to Explore Limitations of Localized Drift Detections. CoRR abs/2408.14687 (2024) - 2023
- [b1]Flavio Giobergia:
Machine learning with limited label availability: algorithms and applications. Polytechnic University of Turin, Italy, 2023 - [c9]Flavio Giobergia, Elena Baralis:
Late Fusion-based Distributed Multimodal Learning. IEEE Big Data 2023: 2152-2156 - [c8]Flavio Giobergia:
Giobergia at Multi-Task Transformer Tuning for Joint Conspiracy Theory Detection and Classification. EVALITA 2023 - [c7]Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, Elena Baralis:
ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. EVALITA 2023 - [i2]Flavio Giobergia, Alkis Koudounas, Elena Baralis:
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning. CoRR abs/2310.01227 (2023) - 2022
- [j3]Andrea Pasini, Flavio Giobergia, Eliana Pastor, Elena Baralis:
Semantic Image Collection Summarization With Frequent Subgraph Mining. IEEE Access 10: 131747-131764 (2022) - [j2]Danilo Giordano, Flavio Giobergia, Eliana Pastor, Antonio La Macchia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Davide Tricarico:
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. Comput. Ind. 134: 103554 (2022) - [c6]Flavio Giobergia, Elena Baralis:
RECLAIM: Reverse Engineering Classification Metrics. AIKE 2022: 106-113 - [c5]Flavio Giobergia:
Triplet losses-based matrix factorization for robust recommendations. CIKM Workshops 2022 - [i1]Flavio Giobergia:
Triplet Losses-based Matrix Factorization for Robust Recommendations. CoRR abs/2210.12098 (2022) - 2021
- [j1]Danilo Giordano, Eliana Pastor, Flavio Giobergia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Alessandra Neri, Davide Tricarico:
Dissecting a data-driven prognostic pipeline: A powertrain use case. Expert Syst. Appl. 180: 115109 (2021) - 2020
- [c4]Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano:
DSLE: A Smart Platform for Designing Data Science Competitions. COMPSAC 2020: 133-142 - [c3]Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis:
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. EDBT/ICDT Workshops 2020
2010 – 2019
- 2019
- [c2]Flavio Giobergia, Elena Baralis:
Fast Self-Organizing Maps Training. IEEE BigData 2019: 2257-2266 - 2018
- [c1]Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti:
Mining Sensor Data for Predictive Maintenance in the Automotive Industry. DSAA 2018: 351-360
Coauthor Index
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last updated on 2026-07-04 01:08 CEST by the dblp team
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