| 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 | 197 | 2018 |
| 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 | 58 | 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 | 50 | 2018 |
| Object matching with hierarchical skeletons C Yang, O Tiebe, K Shirahama, M Grzegorzek Pattern Recognition 55, 183-197, 2016 | 31 | 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 | 30 | 2015 |
| 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 | 26 | 2016 |
| Towards large-scale multimedia retrieval enriched by knowledge about human interpretation K Shirahama, M Grzegorzek Multimedia Tools and Applications 75 (1), 297-331, 2016 | 26 | 2016 |
| 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 | 23 | 2021 |
| 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 | 20 | 2020 |
| 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 | 20 | 2013 |
| 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 | 19 | 2014 |
| Event retrieval in video archives using rough set theory and partially supervised learning K Shirahama, Y Matsuoka, K Uehara Multimedia Tools and Applications 57 (1), 145-173, 2012 | 19 | 2012 |
| Video data mining: Extracting cinematic rules from movie Y Matsuo, K Shirahama, K Uehara Proc. Int’l Workshop Multimedia Data Management (MDM-KDD), 2003 | 19 | 2003 |
| 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 | 18 | 2016 |
| Environmental microbiology aided by content-based image analysis C Li, K Shirahama, M Grzegorzek Pattern Analysis and Applications 19 (2), 531-547, 2016 | 18 | 2016 |
| Shape-based object matching using interesting points and high-order graphs C Yang, C Feinen, O Tiebe, K Shirahama, M Grzegorzek Pattern Recognition Letters 83, 251-260, 2016 | 17 | 2016 |
| Unknown object tracking in 360-degree camera images A Delforouzi, SAH Tabatabaei, K Shirahama, M Grzegorzek 2016 23rd International Conference on Pattern Recognition (ICPR), 1798-1803, 2016 | 16 | 2016 |
| On the generality of codebook approach for sensor-based human activity recognition K Shirahama, M Grzegorzek Electronics 6 (2), 44, 2017 | 15 | 2017 |
| Environmental microorganism classification using sparse coding and weakly supervised learning C Li, K Shirahama, M Grzegorzek Proceedings of the 2nd International Workshop on Environmental Multimedia …, 2015 | 14 | 2015 |
| A multi-stage approach for automatic classification of environmental microorganisms C Li, K Shirahama, J Czajkowska, M Grzegorzek, F Ma, B Zhou Proceedings of the International Conference on Image Processing, Computer …, 2013 | 13 | 2013 |
Marcin GrzegorzekProfessor, Institut für Medizinische Informatik, Universität zu LübeckVerified email at uni-luebeck.de
