A Review: Prognostics and Health Management in Automotive and Aerospace TB Van Duc Nguyen, Marios Kefalas, Kaifeng Yang, Asteris Apostolidis, Markus ... International Journal of Prognostics and Health Management 10 (2), 35, 2019 | 51 | 2019 |
Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach MR Tannemaat, M Kefalas, VJ Geraedts, L Remijn-Nelissen, ... Clinical Neurophysiology 146, 49-54, 2023 | 19 | 2023 |
Preoperative Electroencephalography‐Based Machine Learning Predicts Cognitive Deterioration after Subthalamic Deep Brain Stimulation VJ Geraedts, M Koch, R Kuiper, M Kefalas, THW Bäck, JJ van Hilten, ... Movement Disorders 36 (10), 2324-2334, 2021 | 14 | 2021 |
Automated machine learning for remaining useful life estimation of aircraft engines M Kefalas, M Baratchi, A Apostolidis, D van den Herik, T Bäck 2021 IEEE International Conference on Prognostics and Health Management …, 2021 | 14 | 2021 |
Immunization of networks using genetic algorithms and multiobjective metaheuristics A Maulana, M Kefalas, MTM Emmerich 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 11 | 2017 |
Automated machine learning for the classification of normal and abnormal electromyography data M Kefalas, M Koch, V Geraedts, H Wang, M Tannemaat, T Bäck 2020 IEEE International Conference on Big Data (Big Data), 1176-1185, 2020 | 9 | 2020 |
A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem M Kefalas, S Limmer, A Apostolidis, M Olhofer, M Emmerich, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 7 | 2019 |
An end-to-end pipeline for uncertainty quantification and remaining useful life estimation: An application on aircraft engines M Kefalas, B van Stein, M Baratchi, A Apostolidis, T Bäck PHM Society European Conference 7 (1), 245-260, 2022 | 4 | 2022 |
Explainable artificial intelligence for exhaust gas temperature of turbofan engines M Kefalas, J Santiago Rojo Jr, A Apostolidis, D Van Den Herik, ... Journal of Aerospace Information Systems 19 (6), 447-454, 2022 | 4 | 2022 |
Multiple node immunisation for preventing epidemics on networks by exact multiobjective optimisation of cost and shield-value M Emmerich, J Nibbeling, M Kefalas, A Plaat arXiv preprint arXiv:2010.06488, 2020 | 4 | 2020 |
A review: Prognostics and health management in automotive and aerospace M Kefalas, K Yang, A Apostolidis, M Olhofer, S Limmer International Journal of Prognostics and Health Management 10 (2), 2019 | 2 | 2019 |
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data F Yang, M Kefalas, M Koch, AV Kononova, Y Qiao, T Bäck 2022 14th International Conference on Computer and Automation Engineering …, 2022 | 1 | 2022 |
Data-driven predictive maintenance and time-series applications M Kefalas Leiden University, 2023 | | 2023 |
Preoperative EEG-based Machine Learning predicts cognitive deterioration after STN DBS in Parkinson's Disease patients V Geraedts, M Koch, R Kuiper, M Kefalas, T Back, J Van Hilten, H Wang, ... MOVEMENT DISORDERS 36, S401-S402, 2021 | | 2021 |
A Tabu Search-based Memetic Algorithm for the Flexible Job Shop Scheduling Problem M Kefalas, S Limmer, A Apostolidis, M Olhofer, M Emmerich, T Bäck | | 2019 |
Computer Science Bioinformatics Track M Kefalas, N Bohrweg | | 2017 |
Hilten,..,… Tannemaat, MR (2021) V Geraedts, M Koch, R Kuiper, M Kefalas, THW Bäck Preoperati e electroencephalograph-based machine learning predicts cogniti e …, 0 | | |
Data-dri en predicti e maintenance and time-series applications M Kefalas | | |
an, Baratchi, M., postolidis,., & Bäck, THW (2022) M Kefalas, B Stein End-to-end pipeline for uncertaint quantification and remaining useful life …, 0 | | |
Multiple Node Immunization for Controlling Epidemics on Networks by Exact and Heuristic Multiobjective Optimization M Emmerich, J Nibbeling, M Kefalas, A Plaat | | |