| Monitoring activities of daily living in smart homes: Understanding human behavior C Debes, A Merentitis, S Sukhanov, M Niessen, N Frangiadakis, A Bauer IEEE Signal Processing Magazine 33 (2), 81-94, 2016 | 377 | 2016 |
| Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS data fusion contest N Yokoya, P Ghamisi, J Xia, S Sukhanov, R Heremans, I Tankoyeu, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 150 | 2018 |
| Multilevel ensembling for local climate zones classification S Sukhanov, I Tankoyeu, J Louradour, R Heremans, D Trofimova, ... 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 31 | 2017 |
| Bootstrap-based SVM aggregation for class imbalance problems S Sukhanov, A Merentitis, C Debes, J Hahn, AM Zoubir 2015 23rd European Signal Processing Conference (EUSIPCO), 165-169, 2015 | 15 | 2015 |
| Fusion of LiDAR, hyperspectral and RGB data for urban land use and land cover classification S Sukhanov, D Budylskii, I Tankoyeu, R Heremans, C Debes IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 14 | 2018 |
| Dynamic pattern matching with multiple queries on large scale data streams S Sukhanov, R Wu, C Debes, AM Zoubir Signal Processing 171, 107402, 2020 | 12 | 2020 |
| A comparative evaluation of image-to-image translation methods for stain transfer in histopathology I Zingman, S Frayle, I Tankoyeu, S Sukhanov, F Heinemann arXiv preprint arXiv:2303.17009, 2023 | 11 | 2023 |
| Tracking dynamics using a computerized device M Schlattmann, T Bader, R Biehl, P Huelsdunk, P Idstein, M Leigsnering, ... US Patent App. 17/638,073, 2022 | 5 | 2022 |
| Real time pattern matching with dynamic normalization R Wu, S Sukhanov, C Debes arXiv preprint arXiv:1912.11977, 2019 | 4 | 2019 |
| Dynamic selection of classifiers for fusing imbalanced heterogeneous data S Sukhanov, C Debes, AM Zoubir ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 4 | 2019 |
| Combining SVMs for Classification on Class Imbalanced Data S Sukhanov, A Merentitis, C Debes, J Hahn, AM Zoubir 2018 IEEE Statistical Signal Processing Workshop (SSP), 90-94, 2018 | 4 | 2018 |
| Consensus clustering on data fragments S Sukhanov, V Gupta, C Debes, AM Zoubir 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 3 | 2017 |
| Interpretable clustering ensembles using binary matrix factorization S Sukhanov, C Debes, AM Zoubir 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 2 | 2018 |
| Additional material to JSTARS-2017-1043: Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest N Yokoya, P Ghamisi, J Xia, S Sukhanov, R Heremans, I Tankoyeu, ... | 1 | 2017 |
| Automatic visual analysis of real-world events covered by social media using convolutional neural networks H Hamer, A Merentitis, N Frangiadakis, S Sukhanov 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1-6, 2015 | 1 | 2015 |
| Machine learning (ml)-based systems and methods for automated matching electricians to jobs IIWH MCCOY, S Sukhanov US Patent App. 18/234,297, 2024 | | 2024 |
| Clustering, classifying and matching patterns with ensemble techniques S Sukhanov Technische Universität Darmstadt, 2021 | | 2021 |
| SYNTHETIC DATA AUGMENTATION FOR EARTH OBSERVATION OBJECT DETECTION TASKS S Khammari, EFL Sánchez-Biezma, S Sukhanov, I Tankoyeu | | |
