Alessio Bernardo

According to our database1, Alessio Bernardo authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
On learning from massive, evolving and imbalanced data streams
PhD thesis, 2023

Continuous Soccer Pass Detection: A Comparison between Traditional and Streaming Machine Learning Methods.
Proceedings of the IEEE International Conference on Big Data, 2023

Choosing the Right Time to Learn Evolving Data Streams.
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.
Expert Syst. Appl., 2022

2021
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams.
Data Min. Knowl. Discov., 2021

IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data Streams.
Proceedings of the 2021 International Conference on Data Mining, 2021

Supporting an Expert-centric Process of New Product Introduction With Statistical Machine Learning.
Proceedings of the 24th International Conference on Business Information Systems, 2021

Predict COVID-19 Spreading With C-SMOTE.
Proceedings of the 24th International Conference on Business Information Systems, 2021

Kalman Filtering for Learning with Evolving Data Streams.
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.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Fast Incremental Naïve Bayes with Kalman Filtering.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Incremental Rebalancing Learning on Evolving Data Streams.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Rebalancing Learning on Evolving Data Streams.
CoRR, 2019


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