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Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data2020 IEEE International Conference on Big Data (BigData) conference-paper Engineering Muscle activation and electromyography studies Open access
Marios Kefalas, Milan Koch, Victor Jacobus Geraedts, Hao Wang, Martijn Rudolf Tannemaat, Thomas Bäck
11citations -
Data imputation methods for intermittent renewable energy sources: Implications for energy system modeling2025 Energy Conversion and Management article Engineering Integrated Energy Systems Optimization Open access
Claudio Mantuano, Olalekan Omoyele, Maximilian Hoffmann, Jann Michael Weinand, Massimo Panella, Detlef Stolten
21citations -
Data Imputation Methods for Intermittent Renewable Energy Sources: Implications for Energy System Modeling2025 SSRN Electronic Journal preprint Engineering Integrated Energy Systems Optimization Open access
Claudio Mantuano, Olalekan Omoyele, Maximilian Hoffmann, Jann Michael Weinand, Massimo Panella, Detlef Stolten
0citations -
ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access cited by 1 patent
Medad C.C. Monu, Éanna McCarthy, Abhilash Puthanveettil Madathil, Josiah Cherian Chekotu, Irina Ilic, Merve Nur Doğu, +14 more
4citations -
Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach2022 Clinical Neurophysiology article Engineering Muscle activation and electromyography studies Open access
Martijn Rudolf Tannemaat, Marios Kefalas, Victor Jacobus Geraedts, L. Remijn-Nelissen, A.J.M. Verschuuren, Milan Koch, +3 more
60citations