Flavio Giobergia

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Top Venues

Publications

Alkis Koudounas, Flavio Giobergia
Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models. CoRR (2024)
Alkis Koudounas, Flavio Giobergia, Eliana Pastor, Elena Baralis
A Contrastive Learning Approach to Mitigate Bias in Speech Models. CoRR (2024)
Federico Borra, Claudio Savelli, Giacomo Rosso, Alkis Koudounas, Flavio Giobergia
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection. CoRR (2024)
Eleonora Poeta, Flavio Giobergia, Eliana Pastor, Tania Cerquitelli, Elena Baralis
A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data. CoRR (2024)
Flavio Giobergia
Giobergia at Multi-Task Transformer Tuning for Joint Conspiracy Theory Detection and Classification. EVALITA (2023)
Flavio Giobergia, Elena Baralis
Late Fusion-based Distributed Multimodal Learning. BigData (2023)
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)
Flavio Giobergia, Alkis Koudounas, Elena Baralis
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning. CoRR (2023)
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 (2022)
Andrea Pasini, Flavio Giobergia, Eliana Pastor, Elena Baralis
Semantic Image Collection Summarization With Frequent Subgraph Mining. IEEE Access 10 (2022)
Flavio Giobergia
Triplet losses-based matrix factorization for robust recommendations. CIKM Workshops (2022)
Flavio Giobergia
Triplet Losses-based Matrix Factorization for Robust Recommendations. CoRR (2022)
Flavio Giobergia, Elena Baralis
RECLAIM: Reverse Engineering Classification Metrics. AIKE (2022)
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 (2021)
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)
Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. EDBT/ICDT Workshops (2020)
Flavio Giobergia, Elena Baralis
Fast Self-Organizing Maps Training. IEEE BigData (2019)
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)