Go with the Flow: Leveraging Physics-Informed Gradients to Solve Real-World Problems in Water Distribution Systems

Ashraf I, Strotherm J, Hermes L, Hammer B (2026)
In: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track. European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part X. Dutra I, Pechenizkiy M, Cortez P, Pashami S, Pasquali A, Moniz N, Jorge AM, Soares C, Abreu PH, Gama J (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 41-59.

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).

A Benchmark for Physics-informed Machine Learning of Chlorine Concentration States in Water Distribution Networks

Hermes L, Artelt A, Vrachimis SG, Polycarpou MM, Hammer B (2025)
SN Computer Science 6(5): 522.

Noise Robust One-Class Intrusion Detection on Dynamic Graphs

Liuliakov A, Schulz A, Hermes L, Hammer B (2024)
In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 363-368.

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.

Spatial Graph Convolution Neural Networks for Water Distribution Systems

Ashraf MI, Hermes L, Artelt A, Hammer B (2023)
In: Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux B, Hess S, Nijssen S (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 29-41.

AutoML technologies for the identification of sparse classification and outlier detection models

Liuliakov A, Hermes L, Hammer B (2023)
Applied Soft Computing 133: 109942.

One-Class Intrusion Detection with Dynamic Graphs

Liuliakov A, Schulz A, Hermes L, Hammer B (2023)
In: Artificial Neural Networks and Machine Learning – ICANN 2023. 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part IV. Iliadis L, Papaleonidas A, Angelov P, Jayne C (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 537-549.

Adversarial Attacks on Leakage Detectors in Water Distribution Networks

Stahlhofen P, Artelt A, Hermes L, Hammer B (2023)
In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 451-463.

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities

Neun M, Eichenberger C, Xin Y, Fu C, Wiedemann N, Martin H, Tomko M, Ambühl L, Hermes L, Kopp M (2023)
IEEE Transactions on Intelligent Transportation Systems .

Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting

Hermes L, Hammer B, Schilling M (2021)
In: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. . 111-116.