| A survey on intrusive load monitoring for appliance recognition A Ridi, C Gisler, J Hennebert 2014 22nd international conference on pattern recognition, 3702-3707, 2014 | 184 | 2014 |
| Appliance Consumption Signature Database and Recognition Test Protocols C Gisler, A Ridi, D Zufferey, O Abou Khaled, J Hennebert The 8th International Workshop on Systems, Signal Processing and their …, 2013 | 79 | 2013 |
| Automatic Identification of Electrical Appliances Using Smart Plugs A Ridi, C Gisler, J Hennebert The 8th International Workshop on Systems, Signal Processing and their …, 2013 | 67 | 2013 |
| ACS-F2 – A New Database of Appliance Consumption Signatures A Ridi, C Gisler, J Hennebert The 6th International Conference of Soft Computing and Pattern Recognition …, 2014 | 63 | 2014 |
| Machine Learning Approaches for Electric Appliance Classification D Zufferey, C Gisler, O Abou Khaled, J Hennebert The 11th International Conference on Information Science, Signal Processing …, 2012 | 60 | 2012 |
| Use of machine learning on contact lens sensor–derived parameters for the diagnosis of primary open-angle glaucoma KR Martin, K Mansouri, RN Weinreb, R Wasilewicz, C Gisler, J Hennebert, ... American journal of ophthalmology 194, 46-53, 2018 | 33 | 2018 |
| Automated detection and quantification of circadian eye blinks using a contact lens sensor C Gisler, A Ridi, J Hennebert, RN Weinreb, K Mansouri Translational vision science & technology 4 (1), 4-4, 2015 | 24 | 2015 |
| Appliance and state recognition using Hidden Markov Models A Ridi, C Gisler, J Hennebert 2014 international conference on data science and advanced analytics (DSAA …, 2014 | 24 | 2014 |
| Reproducing measured manet radio performances using the emane framework A Nikodemski, JF Wagen, F Buntschu, C Gisler, G Bovet IEEE Communications Magazine 56 (10), 151-155, 2018 | 15 | 2018 |
| Towards Glaucoma Detection Using Intraocular Pressure Monitoring C Gisler, A Ridi, M Fauquex, D Genoud, J Hennebert The 6th International Conference of Soft Computing and Pattern Recognition …, 2014 | 14 | 2014 |
| Unseen Appliances Identification A Ridi, C Gisler, J Hennebert Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2013 | 14 | 2013 |
| User interaction event detection in the context of appliance monitoring A Ridi, C Gisler, J Hennebert 2015 IEEE International Conference on Pervasive Computing and Communication …, 2015 | 13 | 2015 |
| Processing smart plug signals using machine learning A Ridi, C Gisler, J Hennebert 2015 IEEE wireless communications and networking conference workshops (WCNCW …, 2015 | 12 | 2015 |
| TAKE—Tactical ad-hoc network emulation S Ruffieux, C Gisler, JF Wagen, F Buntschu, G Bovet 2018 International Conference on Military Communications and Information …, 2018 | 11 | 2018 |
| Duration models for activity recognition and prediction in buildings using hidden markov models A Ridi, N Zarkadis, C Gisler, J Hennebert 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 9 | 2015 |
| Aggregation procedure of Gaussian Mixture Models for additive features A Ridi, C Gisler, J Hennebert 2016 23rd International Conference on Pattern Recognition (ICPR), 2544-2549, 2016 | 4 | 2016 |
| Demonstration of a Monitoring Lamp to Visualize the Energy Consumption in Houses C Gisler, G Barchi, G Bovet, E Mugellini, J Hennebert The 10th International Conference on Pervasive Computing (Pervasive 2012), 2012 | 3 | 2012 |
| YinYang, a fast and robust adaptive document image binarization for optical character recognition JL Bloechle, J Hennebert, C Gisler Proceedings of the ACM Symposium on Document Engineering 2023, 1-4, 2023 | 1 | 2023 |
| ZigZag: a robust adaptive approach to non-uniformly illuminated document image binarization JL Bloechle, J Hennebert, C Gisler Proceedings of the DocEng'24: ACM Symposium on Document Engineering 2024, 20 …, 2024 | | 2024 |
| TAKE S Ruffieux, C Gisler, JF Wagen, F Buntschu, J Bovet Proceedings of International Conference on Military Communications and …, 2018 | | 2018 |
Jean HennebertFull Professor in Machine Learning, University of Applied Sciences, HES-SO. Institute lead at iCoSys在 hefr.ch 的电子邮件经过验证
