| Comparison of feature learning methods for human activity recognition using wearable sensors F Li, K Shirahama, MA Nisar, L Köping, M Grzegorzek Sensors 18 (2), 679, 2018 | 321 | 2018 |
| LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation J Zhang, C Li, S Kosov, M Grzegorzek, K Shirahama, T Jiang, C Sun, Z Li, ... Pattern Recognition 115, 107885, 2021 | 187 | 2021 |
| Environmental microorganism classification using conditional random fields and deep convolutional neural networks S Kosov, K Shirahama, C Li, M Grzegorzek Pattern recognition 77, 248-261, 2018 | 86 | 2018 |
| A general framework for sensor-based human activity recognition L Köping, K Shirahama, M Grzegorzek Computers in biology and medicine 95, 248-260, 2018 | 81 | 2018 |
| Deep transfer learning for time series data based on sensor modality classification F Li, K Shirahama, MA Nisar, X Huang, M Grzegorzek Sensors 20 (15), 4271, 2020 | 63 | 2020 |
| A new pairwise deep learning feature for environmental microorganism image analysis F Kulwa, C Li, J Zhang, K Shirahama, S Kosov, X Zhao, T Jiang, ... Environmental Science and Pollution Research 29 (34), 51909-51926, 2022 | 45 | 2022 |
| Object matching with hierarchical skeletons C Yang, O Tiebe, K Shirahama, M Grzegorzek Pattern Recognition 55, 183-197, 2016 | 44 | 2016 |
| Application of content-based image analysis to environmental microorganism classification C Li, K Shirahama, M Grzegorzek Biocybernetics and Biomedical Engineering 35 (1), 10-21, 2015 | 42 | 2015 |
| Sleep stage classification for child patients using DeConvolutional Neural Network X Huang, K Shirahama, F Li, M Grzegorzek Artificial intelligence in medicine 110, 101981, 2020 | 36 | 2020 |
| Multiple human detection in depth images MH Khan, K Shirahama, MS Farid, M Grzegorzek 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP …, 2016 | 31 | 2016 |
| Towards large-scale multimedia retrieval enriched by knowledge about human interpretation: retrospective survey K Shirahama, M Grzegorzek Multimedia Tools and Applications 75, 297-331, 2016 | 28 | 2016 |
| Classification of environmental microorganisms in microscopic images using shape features and support vector machines C Li, K Shirahama, M Grzegorzek, F Ma, B Zhou 2013 IEEE international conference on image processing, 2435-2439, 2013 | 28 | 2013 |
| On the generality of codebook approach for sensor-based human activity recognition K Shirahama, M Grzegorzek Electronics 6 (2), 44, 2017 | 26 | 2017 |
| Rank pooling approach for wearable sensor-based ADLs recognition MA Nisar, K Shirahama, F Li, X Huang, M Grzegorzek Sensors 20 (12), 3463, 2020 | 23 | 2020 |
| Environmental microbiology aided by content-based image analysis C Li, K Shirahama, M Grzegorzek Pattern Analysis and Applications 19, 531-547, 2016 | 23 | 2016 |
| Environmental microorganism image retrieval using multiple colour channels fusion and particle swarm optimisation Y Zou, C Li, K Shirahama, T Jiang, M Grzegorzek 2016 IEEE international conference on image processing (ICIP), 2475-2479, 2016 | 21 | 2016 |
| Shape-based classification of environmental microorganisms C Yang, C Li, O Tiebe, K Shirahama, M Grzegorzek 2014 22nd international conference on pattern recognition, 3374-3379, 2014 | 20 | 2014 |
| Classification of physiological data for emotion recognition P Gouverneur, J Jaworek-Korjakowska, L Köping, K Shirahama, ... Artificial Intelligence and Soft Computing: 16th International Conference …, 2017 | 19 | 2017 |
| Event retrieval in video archives using rough set theory and partially supervised learning K Shirahama, Y Matsuoka, K Uehara Multimedia Tools and Applications 57, 145-173, 2012 | 19 | 2012 |
| Sleep stage classification in children using self-attention and Gaussian noise data augmentation X Huang, K Shirahama, MT Irshad, MA Nisar, A Piet, M Grzegorzek Sensors 23 (7), 3446, 2023 | 18 | 2023 |
Marcin GrzegorzekDirector at DFKI Lab Lübeck | Professor at University of LübeckVerified email at dfki.de
