| Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case D Giordano, F Giobergia, E Pastor, A La Macchia, T Cerquitelli, E Baralis, ... Computers in Industry 134, 103554, 2022 | 24 | 2022 |
| Mining sensor data for predictive maintenance in the automotive industry F Giobergia, E Baralis, M Camuglia, T Cerquitelli, M Mellia, A Neri, ... 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 20 | 2018 |
| Dissecting a data-driven prognostic pipeline: A powertrain use case D Giordano, E Pastor, F Giobergia, T Cerquitelli, E Baralis, M Mellia, ... Expert Systems with Applications 180, 115109, 2021 | 16 | 2021 |
| DSLE: a smart platform for designing data science competitions G Attanasio, F Giobergia, A Pasini, F Ventura, E Baralis, L Cagliero, ... 2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020 | 7 | 2020 |
| Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. F Giobergia, L Cagliero, P Garza, E Baralis EDBT/ICDT Workshops, 8-10, 2020 | 6 | 2020 |
| Semantic image collection summarization with frequent subgraph mining A Pasini, F Giobergia, E Pastor, E Baralis IEEE Access 10, 131747-131764, 2022 | 5 | 2022 |
| Bad Exoplanet! Explaining Degraded Performance when Reconstructing Exoplanets Atmospheric Parameters A Koudounas, F Giobergia, E Baralis NeurIPS 2023 AI for Science Workshop, 2023 | 3 | 2023 |
| baρtti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy A Koudounas, F Giobergia, I Benedetto, S Monaco, L Cagliero, D Apiletti, ... CEUR Workshop Proceedings, 2023 | 3 | 2023 |
| Time-of-flight cameras in space: Pose estimation with deep learning methodologies A Koudounas, F Giobergia, E Baralis 2022 IEEE 16th International Conference on Application of Information and …, 2022 | 3 | 2022 |
| First experimental results of the spatial resolution of RSD pad arrays read out with a 16-ch board F Siviero, F Giobergia, L Menzio, F Miserocchi, M Tornago, R Arcidiacono, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2022 | 3 | 2022 |
| Triplet Losses-based Matrix Factorization for Robust Recommendations F Giobergia arXiv preprint arXiv:2210.12098, 2022 | 2 | 2022 |
| Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning F Giobergia, A Koudounas, E Baralis 2023 IEEE 17th International Conference on Application of Information and …, 2023 | 1 | 2023 |
| Silicon sensors with resistive read-out: Machine Learning techniques for ultimate spatial resolution M Tornago, F Giobergia, L Menzio, F Siviero, R Arcidiacono, N Cartiglia, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2023 | 1 | 2023 |
| RECLAIM: Reverse Engineering Classification Metrics F Giobergia, E Baralis 2022 IEEE Fifth International Conference on Artificial Intelligence and …, 2022 | 1 | 2022 |
| Method and system for predicting system status A Neri, M Camuglia, A Tuninetti, E Baralis, F Giobergia, D Tricarico US Patent 11,423,321, 2022 | 1 | 2022 |
| Fast Self-Organizing Maps Training F Giobergia, E Baralis 2019 IEEE International Conference on Big Data (Big Data), 2257-2266, 2019 | 1 | 2019 |
| Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models A Koudounas, F Giobergia arXiv preprint arXiv:2404.07226, 2024 | | 2024 |
| Social and economic variables explain COVID-19 diffusion in European regions C Cancedda, A Cappellato, L Maninchedda, L Meacci, S Peracchi, ... Scientific Reports 14 (1), 6142, 2024 | | 2024 |
| MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection F Borra, C Savelli, G Rosso, A Koudounas, F Giobergia arXiv preprint arXiv:2403.00964, 2024 | | 2024 |
| AI models for automated segmentation of engineered polycystic kidney tubules S Monaco, N Bussola, S Buttò, D Sona, F Giobergia, G Jurman, C Xinaris, ... Scientific Reports 14 (1), 2847, 2024 | | 2024 |
