Alessio Bernardo

According to our database, Alessio Bernardo authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A practical guide to streaming continual learning.

Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu

Neurocomputing, 2026

2025

Online Learning Techniques for Occupancy Detection on Resource Constrained Devices.

Flavio Renzi, Haoyu Ren, Alessio Bernardo, Giacomo Ziffer, Darko Anicic, Emanuele Della Valle

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

Don't drift away: Advances and Applications of Streaming and Continual Learning.

Andrea Cossu, Davide Bacciu, Alessio Bernardo, Emanuele Della Valle, Alexander Gepperth, Federico Giannini, Barbara Hammer, Giacomo Ziffer

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2023

On learning from massive, evolving and imbalanced data streams

Alessio Bernardo

PhD thesis, 2023

Towards time-evolving analytics: Online learning for time-dependent evolving data streams.

Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Vítor Cerqueira, Albert Bifet

Data Sci., 2023

Continuous Soccer Pass Detection: A Comparison between Traditional and Streaming Machine Learning Methods.

Stefania Menconi, Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle

Proceedings of the IEEE International Conference on Big Data, 2023

Choosing the Right Time to Learn Evolving Data Streams.

Alessio Bernardo, Emanuele Della Valle, Albert Bifet

Proceedings of the IEEE International Conference on Big Data, 2023

2022

An extensive study of C-SMOTE, a Continuous Synthetic Minority Oversampling Technique for Evolving Data Streams.

Alessio Bernardo, Emanuele Della Valle

Expert Syst. Appl., 2022

2021

VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams.

Alessio Bernardo, Emanuele Della Valle

Data Min. Knowl. Discov., 2021

IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data Streams.

Alessio Bernardo, Giacomo Ziffer, Emanuele Della Valle

Proceedings of the 2021 International Conference on Data Mining, 2021

Supporting an Expert-centric Process of New Product Introduction With Statistical Machine Learning.

Shima Zahmatkesh, Alessio Bernardo, Emanuele Falzone, Edgardo Di Nicola Carena, Emanuele Della Valle

Proceedings of the 24th International Conference on Business Information Systems, 2021

Predict COVID-19 Spreading With C-SMOTE.

Alessio Bernardo, Emanuele Della Valle

Proceedings of the 24th International Conference on Business Information Systems, 2021

Kalman Filtering for Learning with Evolving Data Streams.

Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

SMOTE-OB: Combining SMOTE and Online Bagging for Continuous Rebalancing of Evolving Data Streams.

Alessio Bernardo, Emanuele Della Valle

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Fast Incremental Naïve Bayes with Kalman Filtering.

Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Incremental Rebalancing Learning on Evolving Data Streams.

Alessio Bernardo, Emanuele Della Valle, Albert Bifet

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams.

Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Rebalancing Learning on Evolving Data Streams.

Alessio Bernardo, Emanuele Della Valle, Albert Bifet

CoRR, 2019