Luca Hermes
PEVZ-ID
7 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2988175Ashraf, M. I.; Strotherm, J.; Hermes, L.; Hammer, B. (2024): Physics-Informed Graph Neural Networks for Water Distribution Systems.PUB
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049Ashraf, I.; Hermes, L.; Artelt, A.; Hammer, B. (2023): Spatial Graph Convolution Neural Networks for Water Distribution Systems. In: Bruno Crémilleux; Sibylle Hess; Siegfried Nijssen (Hrsg.): Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Cham: Springer Nature Switzerland. (Lecture Notes in Computer Science, ). S. 29-41.PUB | DOI
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455Liuliakov, A.; Schulz, A.; Hermes, L.; Hammer, B. (2023): One-Class Intrusion Detection with Dynamic Graphs. In: Lazaros Iliadis; Antonios Papaleonidas; Plamen Angelov; Chrisina Jayne (Hrsg.): 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. Cham: Springer Nature Switzerland. (Lecture Notes in Computer Science, ). S. 537-549.PUB | DOI
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983406Stahlhofen, P.; Artelt, A.; Hermes, L.; Hammer, B. (2023): Adversarial Attacks on Leakage Detectors in Water Distribution Networks. In: Ignacio Rojas; Gonzalo Joya; Andreu Catala (Hrsg.): Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II. Cham: Springer Nature Switzerland. (Lecture Notes in Computer Science, ). S. 451-463.PUB | DOI | Preprint
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2981972Neun, M.; Eichenberger, C.; Xin, Y.; Fu, C.; Wiedemann, N.; Martin, H.; Tomko, M.; Ambühl, L.; Hermes, L.; Kopp, M. (2023): Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities IEEE Transactions on Intelligent Transportation SystemsPUB | DOI | WoS
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2021 | Konferenzbeitrag | PUB-ID: 2958664Hermes, L.; Hammer, B.; Schilling, M. (2021): Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting. In: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. . S. 111-116.PUB | arXiv