| Blood glucose prediction with variance estimation using recurrent neural networks J Martinsson, A Schliep, B Eliasson, O Mogren Journal of Healthcare Informatics Research 4, 1-18, 2020 | 143 | 2020 |
| Automatic blood glucose prediction with confidence using recurrent neural networks J Martinsson, A Schliep, B Eliasson, C Meijner, S Persson, O Mogren The 3rd International Workshop on Knowledge Discovery in Healthcare Data, 2018 | 75 | 2018 |
| Semantic segmentation of fashion images using feature pyramid networks J Martinsson, O Mogren Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 36 | 2019 |
| Clustering vehicle maneuver trajectories using mixtures of hidden markov models J Martinsson, N Mohammadiha, A Schliep 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 22 | 2018 |
| Federated learning using mixture of experts EL Zec, J Martinsson, O Mogren, LR Sütfeld, D Gillblad | 19 | 2020 |
| Bird Species Identification using Convolutional Neural Networks J Martinsson Chalmers University of Technology, 2017 | 19 | 2017 |
| Specialized federated learning using a mixture of experts EL Zec, O Mogren, J Martinsson, LR Sütfeld, D Gillblad arXiv preprint arXiv:2010.02056, 2020 | 16* | 2020 |
| Adversarial representation learning for private speech generation D Ericsson, A Östberg, EL Zec, J Martinsson, O Mogren arXiv preprint arXiv:2006.09114, 2020 | 16 | 2020 |
| Adversarial representation learning for synthetic replacement of private attributes J Martinsson, EL Zec, D Gillblad, O Mogren 2021 IEEE International Conference on Big Data (Big Data), 1291-1299, 2021 | 12 | 2021 |
| A novel method for smart fire detection using acoustic measurements and machine learning: proof of concept J Martinsson, M Runefors, H Frantzich, D Glebe, M McNamee, O Mogren Fire technology 58 (6), 3385-3403, 2022 | 11 | 2022 |
| Few-shot bioacoustic event detection using an event-length adapted ensemble of prototypical networks J Martinsson, M Willbo, A Pirinen, O Mogren, M Sandsten Proceedings of the 7th Workshop on Detection and Classification of Acoustic …, 2022 | 8* | 2022 |
| Chassis hardware fault diagnostics with hidden markov model based clustering N Soltanipour, S Rahrovani, J Martinsson, R Westlund 2020 IEEE 23rd international conference on intelligent transportation …, 2020 | 5 | 2020 |
| Generative modelling of semantic segmentation data in the fashion domain M Korneliusson, J Martinsson, O Mogren Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 5 | 2019 |
| Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning M Willbo, A Pirinen, J Martinsson, EL Zec, O Mogren, M Nilsson 2nd ML4RS Workshop at ICLR 2024, 2024 | 2 | 2024 |
| Wide resnet models for few-shot sound event detection M Willbo, J Martinsson, A Pirinen, O Mogren eps 1, 6, 2022 | 2 | 2022 |
| DMEL: The Differentiable Log-Mel Spectrogram as a Trainable Layer in Neural Networks J Martinsson, M Sandsten ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Efficient and precise annotation of local structures in data J Martinsson | | 2024 |
| From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning J Martinsson, O Mogren, M Sandsten, T Virtanen 32nd European Signal Processing Conference, 2024 | | 2024 |
| Bullerdatainsamling och autonom artidentifiering för att underlätta miljöövervakning: En syntes D Glebe, T Johansson, J Martinsson, A Genell Naturvårdsverket, 2022 | | 2022 |
| A differentiable Mel spectrogram layer for neural networks J Martinsson, M Sandsten | | |
Olof MogrenRISE Research institutes of SwedenVerified email at ri.se
