Mining Sensor Data for Predictive Maintenance in the Automotive Industry. - Flavio Giobergia; Elena Baralis; Maria Camuglia; Tania Cerquitelli; Marco Mellia; Alessandra Neri; Davide Tricarico; Alessia Tuninetti (DSAA, 2018)

Fast Self-Organizing Maps Training. - Flavio Giobergia; Elena Baralis (IEEE BigData, 2019)

DSLE: A Smart Platform for Designing Data Science Competitions. - Giuseppe Attanasio; Flavio Giobergia; Andrea Pasini; Francesco Ventura; Elena Baralis; Luca Cagliero; Paolo Garza; Daniele Apiletti; Tania Cerquitelli; Silvia Chiusano (COMPSAC, 2020)

Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. - Flavio Giobergia; Luca Cagliero; Paolo Garza; Elena Baralis (EDBT/ICDT Workshops, 2020)

Dissecting a data-driven prognostic pipeline: A powertrain use case. - Danilo Giordano; Eliana Pastor; Flavio Giobergia; Tania Cerquitelli; Elena Baralis; Marco Mellia; Alessandra Neri; Davide Tricarico (Expert Syst. Appl., 2021)

RECLAIM: Reverse Engineering Classification Metrics. - Flavio Giobergia; Elena Baralis (AIKE, 2022)

Triplet losses-based matrix factorization for robust recommendations. - Flavio Giobergia (CIKM Workshops, 2022)

Semantic Image Collection Summarization With Frequent Subgraph Mining. - Andrea Pasini; Flavio Giobergia; Eliana Pastor; Elena Baralis (IEEE Access, 2022)

Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. - Danilo Giordano; Flavio Giobergia; Eliana Pastor; Antonio La Macchia; Tania Cerquitelli; Elena Baralis; Marco Mellia; Davide Tricarico (Comput. Ind., 2022)

Late Fusion-based Distributed Multimodal Learning. - Flavio Giobergia; Elena Baralis (IEEE Big Data, 2023)

Giobergia at Multi-Task Transformer Tuning for Joint Conspiracy Theory Detection and Classification. - Flavio Giobergia (EVALITA, 2023)

ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. - Alkis Koudounas; Flavio Giobergia; Irene Benedetto; Simone Monaco; Luca Cagliero; Daniele Apiletti; Elena Baralis (EVALITA, 2023)

Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning. - Flavio Giobergia; Alkis Koudounas; Elena Baralis (CoRR, 2023)

A Synthetic Benchmark to Explore Limitations of Localized Drift Detections. - Flavio Giobergia; Eliana Pastor; Luca de Alfaro; Elena Baralis (DELTA, 2024)

Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models. - Alkis Koudounas; Flavio Giobergia (ICASSP Workshops, 2024)

A Contrastive Learning Approach to Mitigate Bias in Speech Models. - Alkis Koudounas; Flavio Giobergia; Eliana Pastor; Elena Baralis (INTERSPEECH, 2024)

MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection. - Federico Borra; Claudio Savelli; Giacomo Rosso; Alkis Koudounas; Flavio Giobergia (SemEval@NAACL, 2024)

Ex(o)plain: Subgroup-Level Analysis of Exoplanet Atmospheric Parameters. - Alkis Koudounas; Flavio Giobergia; Elena Baralis (IEEE Access, 2024)

A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data. - Eleonora Poeta; Flavio Giobergia; Eliana Pastor; Tania Cerquitelli; Elena Baralis (CoRR, 2024)

Detecting Interpretable Subgroup Drifts. - Flavio Giobergia; Eliana Pastor; Luca de Alfaro; Elena Baralis (KDD (1), 2025)

"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding. - Alkis Koudounas; Claudio Savelli; Flavio Giobergia; Elena Baralis (CoRR, 2025)