| Whited-a worldwide household and industry transient energy data set M Kahl, AU Haq, T Kriechbaumer, HA Jacobsen 3rd international workshop on non-intrusive load monitoring, 1-4, 2016 | 180 | 2016 |
| A comprehensive feature study for appliance recognition on high frequency energy data M Kahl, A Ul Haq, T Kriechbaumer, HA Jacobsen Proceedings of the Eighth International Conference on Future Energy Systems …, 2017 | 57 | 2017 |
| Measurement system and dataset for in-depth analysis of appliance energy consumption in industrial environment M Kahl, V Krause, R Hackenberg, A Ul Haq, A Horn, HA Jacobsen, ... tm-Technisches Messen 86 (1), 1-13, 2019 | 24 | 2019 |
| Medal: A cost-effective high-frequency energy data acquisition system for electrical appliances T Kriechbaumer, A Ul Haq, M Kahl, HA Jacobsen Proceedings of the eighth international conference on future energy systems …, 2017 | 24 | 2017 |
| Earth observation and artificial intelligence: Understanding emerging ethical issues and opportunities M Kochupillai, M Kahl, M Schmitt, H Taubenböck, XX Zhu IEEE Geoscience and Remote Sensing Magazine 10 (4), 90-124, 2022 | 19 | 2022 |
| Appliance Classification Across Multiple High Frequency Energy Datasets M Kahl, T Kriechbaumer, AU Haq, HA Jacobsen Proceedings of the 2017 ACM Eighth International Conference on Future Energy …, 2017 | 16 | 2017 |
| Appliance event detection-a multivariate, supervised classification approach M Kahl, T Kriechbaumer, D Jorde, A Ul Haq, HA Jacobsen Proceedings of the Tenth ACM International Conference on Future Energy …, 2019 | 14 | 2019 |
| CLEAR—A circuit level electric appliance radar for the electric cabinet AU Haq, T Kriechbaumer, M Kahl, HA Jacobsen 2017 IEEE International Conference on Industrial Technology (ICIT), 1130-1135, 2017 | 14 | 2017 |
| MEED: An unsupervised multi-environment event detector for non-intrusive load monitoring D Jorde, M Kahl, HA Jacobsen 2019 IEEE International Conference on Communications, Control, and Computing …, 2019 | 13 | 2019 |
| Generative modeling of spatio-temporal weather patterns with extreme event conditioning K Klemmer, S Saha, M Kahl, T Xu, XX Zhu arXiv preprint arXiv:2104.12469, 2021 | 9 | 2021 |
| So2Sat POP-A curated benchmark data set for population estimation from space on a continental scale S Doda, Y Wang, M Kahl, EJ Hoffmann, K Ouan, H Taubenböck, XX Zhu Scientific data 9 (1), 715, 2022 | 6 | 2022 |
| Machine learning for non-intrusive load monitoring M Kahl Technische Universität München, 2019 | 4 | 2019 |
| Nofare: A non-intrusive facility resource monitoring system M Kahl, C Goebel, AU Haq, T Kriechbaumer, HA Jacobsen Energy Informatics: 4th DA-CH Conference, EI 2015, Karlsruhe, Germany …, 2015 | 4 | 2015 |
| Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning M Kahl, D Jorde, HA Jacobsen arXiv preprint arXiv:2209.03759, 2022 | 3 | 2022 |
| Automatic Recognition of Tonal Instruments in Polyphonic Music from different Cultural Backgrounds M Kahl, J Abeßer, C Dittmar, H Großmann Deutsche Jahrestagung für Akustik 36, 565-566, 2010 | 1 | 2010 |
| Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data S Doda, M Kahl, K Ouan, I Obadic, Y Wang, H Taubenböck, XX Zhu International Journal of Applied Earth Observation and Geoinformation 128 …, 2024 | | 2024 |
| Artificial Intelligence for Earth Observations: Understanding emerging ethical issues and opportunities M Kochupillai, M Kahl, M Schmitt, H Taubenböck, XX Zhu IEEE Geoscience and Remote Sensing Magazine (GRSM) 10 (4), 90-124, 2022 | | 2022 |
| Erkennung von Instrumenten aus Musikaufnahmen mit Verfahren des Maschinellen Lernens M Kahl, M Golz Nachwuchswissenschaftlerkonferenz 12, 2011 | | 2011 |
| Earth Observation and Artificial Intelligence M KOCHUPILLAI, M KAHL, M SCHMITT, H TAUBENBÖCK, XX ZHU | | |
| Towards a Cost-Effective High-Frequency Energy Data Acquisition System for Electric Appliances T Kriechbaumer, AU Haq, M Kahl, HA Jacobsen | | |
Hans-Arno JacobsenProfessor of Computer Engineering and Computer ScienceVerified email at eecg.toronto.edu
