Giacomo Ziffer

According to our database, Giacomo Ziffer authored at least 18 papers between 2020 and 2026.

Collaborative distances:

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

2026

Dynamic continuous progressive neural networks for evolving streaming time series.

Federico Giannini, Giacomo Ziffer, Emanuele Della Valle

Data Min. Knowl. Discov., August, 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

Tracking Adaptation Time: Metrics for Temporal Distribution Shift.

Lorenzo Iovine, Giacomo Ziffer, Emanuele Della Valle

Proceedings of the 1st Streaming Continual Learning Bridge at AAAI (StreamingCL 2026) co-located with 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026), 2026

2025

Semantic-Aware Streaming Learning for Anomalous Event Detection in Power Grids.

Lorenzo Iovine, Matteo Belcao, Giacomo Ziffer, Gabriele Paludetto, Samuele Forciniti, Emanuele Della Valle

Proceedings of the Semantic Web - ISWC 2025, 2025

Kalman-Enhanced Streaming Linear Discriminant Analysis for Land Use Classification in Satellite Imagery.

Nicola Francescon, Giacomo Ziffer, Emanuele Della Valle

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 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

Towards Streaming Land Use Classification of Images with Temporal Distribution Shifts.

Lorenzo Iovine, Giacomo Ziffer, Andrea Proia, Emanuele Della Valle

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

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