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Flavio Giobergia
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2020 – today
- 2024
- [i6]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) - [i5]Alkis Koudounas, Flavio Giobergia:
Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models. CoRR abs/2404.07226 (2024) - [i4]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) - [i3]Alkis Koudounas, Flavio Giobergia, Eliana Pastor, Elena Baralis:
A Contrastive Learning Approach to Mitigate Bias in Speech Models. CoRR abs/2406.14686 (2024) - 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
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last updated on 2024-07-17 21:27 CEST by the dblp team
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