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

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

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

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)

cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series. - Federico Giannini; Giacomo Ziffer; Emanuele Della Valle (PAKDD (4), 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)

Tenet: Benchmarking Data Stream Classifiers in Presence of Temporal Dependence. - Giacomo Ziffer; Federico Giannini; Emanuele Della Valle (IEEE Big Data, 2024)

Exploring Concept Drift Visualization and Explanation in Image Streams. - Giacomo Ziffer; Emanuele Della Valle (DELTA, 2024)

Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments. - Federico Giannini; Giacomo Ziffer; Andrea Cossu; Vincenzo Lomonaco (IEEE Intell. Syst., 2024)

Grounding Stream Reasoning Research. - Pieter Bonte; Jean-Paul Calbimonte; Daniel de Leng; Daniele Dell'Aglio; Emanuele Della Valle; Thomas Eiter; Federico Giannini; Fredrik Heintz; Konstantin Schekotihin; Danh Le Phuoc; Alessandra Mileo; Patrik Schneider; et al. (TGDK, 2024)

Online Learning Techniques for Occupancy Detection on Resource Constrained Devices. - Flavio Renzi; Haoyu Ren; Alessio Bernardo; Giacomo Ziffer; Darko Anicic; Emanuele Della Valle (IPDPS (Workshops), 2025)