Publications
- Marta Tornago, Flavio Giobergia, Luca Menzio, Federico Siviero, Roberta Arcidiacono, Nicolo' Cartiglia, M Costa, M Ferrero, G Gioachin, M Mandurrino, and others. 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, 2023. (pdf) [BibTeX]
- Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, and Elena Baralis. Baρtti at geolingit: beyond boundaries, enhancing geolocation prediction and dialect classification on social media in italy. In Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, CEUR Workshop Proceedings. 2023. (pdf) [BibTeX]
- Flavio Giobergia. Giobergia at multi-task transformer tuning for joint conspiracy theory detection and classification. In Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, CEUR Workshop Proceedings. 2023. (pdf) [BibTeX]
- Alkis Koudounas, Flavio Giobergia, and Elena Baralis. Time-of-flight cameras in space: pose estimation with deep learning methodologies. In 2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT), 1–6. IEEE, 2022. (pdf) [BibTeX]
- Andrea Pasini, Flavio Giobergia, Eliana Pastor, and Elena Baralis. Semantic image collection summarization with frequent subgraph mining. IEEE Access, 10:131747–131764, 2022. (pdf) [BibTeX]
- F Siviero, F Giobergia, L Menzio, F Miserocchi, M Tornago, R Arcidiacono, N Cartiglia, M Costa, M Ferrero, G Gioachin, and others. 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, 2022. (pdf) [BibTeX]
- Flavio Giobergia. Triplet losses-based matrix factorization for robust recommendations. In Proceedings of the CIKM 2022 Workshops, CEUR Workshop Proceedings. 2022. (pdf) [BibTeX]
- Flavio Giobergia and Elena Baralis. Reclaim: reverse engineering classification metrics. In 2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 106–113. IEEE, 2022. (pdf) [BibTeX]
- Danilo Giordano, Flavio Giobergia, Eliana Pastor, Antonio La Macchia, Tania Cerquitelli, Elena Baralis, Marco Mellia, and Davide Tricarico. Data-driven strategies for predictive maintenance: lesson learned from an automotive use case. Computers in Industry, 134:103554, 2022. (pdf) [BibTeX]
- Danilo Giordano, Eliana Pastor, Flavio Giobergia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Alessandra Neri, and Davide Tricarico. Dissecting a data-driven prognostic pipeline: a powertrain use case. Expert Systems with Applications, 180:115109, 2021. (pdf) [BibTeX]
- Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, and Silvia Chiusano. Dsle: a smart platform for designing data science competitions. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 133–142. IEEE, 2020. (pdf) [BibTeX]
- Flavio Giobergia, Luca Cagliero, Paolo Garza, and Elena Baralis. Cross-lingual propagation of sentiment information based on bilingual vector space alignment. In EDBT/ICDT Workshops, 8–10. 2020. (pdf) [BibTeX]
- Flavio Giobergia and Elena Baralis. Fast self-organizing maps training. In 2019 IEEE International Conference on Big Data (Big Data), 2257–2266. IEEE, 2019. (pdf) [BibTeX]
- Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, and Alessia Tuninetti. Mining sensor data for predictive maintenance in the automotive industry. In 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 351–360. IEEE, 2018. (pdf) [BibTeX]