Realistic Benchmarks for Fair Stream Learning

Lammers K, Vaquet V, Vaquet J, Hammer B (2026)
In: Neural Information Processing. 32nd International Conference, ICONIP 2025, Okinawa, Japan, November 20–24, 2025, Proceedings, Part III. Taniguchi T, Leung CSA, Kozuno T, Yoshimoto J, Mahmud M, Doborjeh M, Doya K (Eds); Communications in Computer and Information Science. Singapore: Springer Nature Singapore: 169-184.

Battle of Water Demand Forecasting

Alvisi S, Franchini M, Marsili V, Mazzoni F, Salomons E, Housh M, Abokifa A, Arsova K, Ayyash F, Bae H, Barreira R, et al. (2025)
Journal of Water Resources Planning and Management 151(10).

Compression-based $k$NN for Class Incremental Continual Learning

Vaquet V, Vaquet J, Hinder F, Hammer B (2025)
In: ESANN 2025 proceesdings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 45-50.

Realistic Benchmarks for Fair Stream Learning

Lammers K, Vaquet V, Vaquet J, Hammer B (Submitted) .

Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations

Vaquet V, Hinder F, Vaquet J, Lammers K, Quakernack L, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8.

Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks

Vaquet V, Hinder F, Artelt A, Ashraf I, Strotherm J, Vaquet J, Brinkrolf J, Hammer B (2024)
In: Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Wand M, Malinovská K, Schmidhuber J, Tetko IV (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 155-170.

Self-Supervised Learning from Incrementally Drifting Data Streams

Vaquet V, Vaquet J, Hinder F, Malialis K, Panayiotou C, Polycarpou M, Hammer B (2024)
In: ESANN 2024 proceesdings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 431-436.

A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning

Zanutto D, Michalopoulos C, Chatzistefanou G-A, Vamvakeridou-Lyroudia L, Tsiami L, Glynis K, Samartzis P, Hermes L, Hinder F, Vaquet J, Vaquet V, et al. (2024)
In: The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). Basel Switzerland: MDPI: 60.

Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings

Vaquet V, Hinder F, Vaquet J, Brinkrolf J, Hammer B (2021)
IEEE Symposium Series on Computational Intelligence: 1-7.