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.
Janine Strotherm
PhD Student
jstrotherm@techfak.uni-bielefeld.deRoom: CITEC 2-112
Before joining the Machine Learning Group at the Center for Cognitive Interaction Technology in 2022, Janine received her Bachelor’s degree in Mathematics and Physics and her Master’s degree in Mathematics from Bielefeld University. Since then she is working as a PhD student within the project ‘Water Futures’ founded by the European Research Council (ERC). Her research focuses on fair Machine Learning, especially when applied to Water Distribution Networks.
Publications:
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.
Strotherm J, Müller A, Hammer B, Paaßen B (2024)
In: Vertrauen in Künstliche Intelligenz. Eine multi-perspektivische Betrachtung. Schork S (Ed); Wiesbaden: Springer Fachmedien Wiesbaden: 163-183.
Fairness-Enhancing Ensemble Classification in Water Distribution Networks
Strotherm J, Hammer B (2023)
Presented at the International Work-Conference on Artificial Neural Networks (IWANN) 2023, Ponta Delgada.