Rebalancing Learning on Evolving Data Streams. - Alessio Bernardo; Emanuele Della Valle; Albert Bifet (CoRR, 2019)

C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. - Alessio Bernardo; Heitor Murilo Gomes; Jacob Montiel; Bernhard Pfahringer; Albert Bifet; Emanuele Della Valle (IEEE BigData, 2020)

Incremental Rebalancing Learning on Evolving Data Streams. - Alessio Bernardo; Emanuele Della Valle; Albert Bifet (ICDM (Workshops), 2020)

Fast Incremental Naïve Bayes with Kalman Filtering. - Giacomo Ziffer; Alessio Bernardo; Emanuele Della Valle; Albert Bifet (ICDM (Workshops), 2020)

SMOTE-OB: Combining SMOTE and Online Bagging for Continuous Rebalancing of Evolving Data Streams. - Alessio Bernardo; Emanuele Della Valle (IEEE BigData, 2021)

Kalman Filtering for Learning with Evolving Data Streams. - Giacomo Ziffer; Alessio Bernardo; Emanuele Della Valle; Albert Bifet (IEEE BigData, 2021)

Predict COVID-19 Spreading With C-SMOTE. - Alessio Bernardo; Emanuele Della Valle (BIS, 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 (BIS, 2021)

IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data Streams. - Alessio Bernardo; Giacomo Ziffer; Emanuele Della Valle (ICDM (Workshops), 2021)

VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams. - Alessio Bernardo; Emanuele Della Valle (Data Min. Knowl. Discov., 2021)

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)

Choosing the Right Time to Learn Evolving Data Streams. - Alessio Bernardo; Emanuele Della Valle; Albert Bifet (IEEE Big Data, 2023)

Continuous Soccer Pass Detection: A Comparison between Traditional and Streaming Machine Learning Methods. - Stefania Menconi; Giacomo Ziffer; Alessio Bernardo; Emanuele Della Valle (IEEE Big Data, 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)

On learning from massive, evolving and imbalanced data streams - Alessio Bernardo (2023)