Alessio Bernardo

18 papers B 2Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Practical Guide to Streaming Continual Learning.
CoRR
Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu
2026 J jnl
A practical guide to streaming continual learning.
Neurocomputing
Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu
2025 — conf
Online Learning Techniques for Occupancy Detection on Resource Constrained Devices.
IPDPS (Workshops)
Flavio Renzi, Haoyu Ren, Alessio Bernardo, Giacomo Ziffer, Darko Anicic, Emanuele Della Valle
2023 B conf
Choosing the Right Time to Learn Evolving Data Streams.
IEEE Big Data
Alessio Bernardo, Emanuele Della Valle, Albert Bifet
2023 B conf
Continuous Soccer Pass Detection: A Comparison between Traditional and Streaming Machine Learning Methods.
IEEE Big Data
Stefania Menconi, Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle
2023 — —
On learning from massive, evolving and imbalanced data streams
Alessio Bernardo
2023 J jnl
Towards time-evolving analytics: Online learning for time-dependent evolving data streams.
Data Sci.
Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Vítor Cerqueira, Albert Bifet
2022 J jnl
An extensive study of C-SMOTE, a Continuous Synthetic Minority Oversampling Technique for Evolving Data Streams.
Expert Syst. Appl.
Alessio Bernardo, Emanuele Della Valle
2021 — conf
IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data Streams.
ICDM (Workshops)
Alessio Bernardo, Giacomo Ziffer, Emanuele Della Valle
2021 — conf
Kalman Filtering for Learning with Evolving Data Streams.
IEEE BigData
Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet
2021 — conf
Predict COVID-19 Spreading With C-SMOTE.
BIS
Alessio Bernardo, Emanuele Della Valle
2021 — conf
SMOTE-OB: Combining SMOTE and Online Bagging for Continuous Rebalancing of Evolving Data Streams.
IEEE BigData
Alessio Bernardo, Emanuele Della Valle
2021 — conf
Supporting an Expert-centric Process of New Product Introduction With Statistical Machine Learning.
BIS
Shima Zahmatkesh, Alessio Bernardo, Emanuele Falzone, Edgardo Di Nicola Carena, Emanuele Della Valle
2021 J jnl
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams.
Data Min. Knowl. Discov.
Alessio Bernardo, Emanuele Della Valle
2020 — conf
C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams.
IEEE BigData
Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle
2020 — conf
Fast Incremental Naïve Bayes with Kalman Filtering.
ICDM (Workshops)
Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet
2020 — conf
Incremental Rebalancing Learning on Evolving Data Streams.
ICDM (Workshops)
Alessio Bernardo, Emanuele Della Valle, Albert Bifet
2019 J jnl
Rebalancing Learning on Evolving Data Streams.
CoRR
Alessio Bernardo, Emanuele Della Valle, Albert Bifet