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John Martinsson
John Martinsson
RISE Research institutes of Sweden, Lunds University
Verified email at matstat.lu.se
Title
Cited by
Cited by
Year
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
1072020
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
602018
Semantic segmentation of fashion images using feature pyramid networks
J Martinsson, O Mogren
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
302019
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
192018
Federated learning using mixture of experts
EL Zec, J Martinsson, O Mogren, LR Sütfeld, D Gillblad
162020
Adversarial representation learning for private speech generation
D Ericsson, A Östberg, EL Zec, J Martinsson, O Mogren
arXiv preprint arXiv:2006.09114, 2020
162020
Bird Species Identification using Convolutional Neural Networks
J Martinsson
Chalmers University of Technology, 2017
152017
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
112021
Specialized federated learning using a mixture of experts
EL Zec, O Mogren, J Martinsson, LR Sütfeld, D Gillblad
arXiv preprint arXiv:2010.02056, 2020
10*2020
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
52022
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
5*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
42020
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
42019
Wide resnet models for few-shot sound event detection
M Willbo, J Martinsson, A Pirinen, O Mogren
eps 1, 6, 2022
22022
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning
J Martinsson, O Mogren, M Sandsten, T Virtanen
arXiv preprint arXiv:2403.08525, 2024
2024
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
arXiv preprint arXiv:2403.04385, 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
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Articles 1–18