Giacomo Ziffer

According to our database, Giacomo Ziffer authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

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

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, Riccardo Tommasini, Jacopo Urbani, Giacomo Ziffer

TGDK, 2024

Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments.

Federico Giannini, Giacomo Ziffer, Andrea Cossu, Vincenzo Lomonaco

IEEE Intell. Syst., 2024

Exploring Concept Drift Visualization and Explanation in Image Streams.

Giacomo Ziffer, Emanuele Della Valle

Proceedings of the Discovering Drift Phenomena in Evolving Landscapes, 2024

Tenet: Benchmarking Data Stream Classifiers in Presence of Temporal Dependence.

Giacomo Ziffer, Federico Giannini, Emanuele Della Valle

Proceedings of the IEEE International Conference on Big Data, 2024

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

cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series.

Federico Giannini, Giacomo Ziffer, Emanuele Della Valle

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

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

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

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