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2020 – today
- 2024
[c9]John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen:
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. EUSIPCO 2024: 902-906- [c8]John Martinsson, Maria Sandsten:
DMEL: The Differentiable Log-Mel Spectrogram as a Trainable Layer in Neural Networks. ICASSP 2024: 5005-5009 - [i5]Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson:
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. CoRR abs/2403.04385 (2024) - [i4]John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen:
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. CoRR abs/2403.08525 (2024) - 2022
- [c7]John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten:
Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. DCASE 2022 - 2021
- [c6]John Martinsson, Edvin Listo Zec, Daniel Gillblad
, Olof Mogren:
Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData 2021: 1291-1299 - 2020
- [j1]John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren:
Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks. J. Heal. Informatics Res. 4(1): 1-18 (2020) - [c5]Nastaran Soltanipour, Sadegh Rahrovani, John Martinsson, Robin Westlund:
Chassis Hardware Fault Diagnostics with Hidden Markov Model Based Clustering. ITSC 2020: 1-6 - [i3]John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren:
Adversarial representation learning for synthetic replacement of private attributes. CoRR abs/2006.08039 (2020) - [i2]David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren:
Adversarial representation learning for private speech generation. CoRR abs/2006.09114 (2020) - [i1]Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad:
Federated learning using a mixture of experts. CoRR abs/2010.02056 (2020)
2010 – 2019
- 2019
- [c4]John Martinsson, Olof Mogren:
Semantic Segmentation of Fashion Images Using Feature Pyramid Networks. ICCV Workshops 2019: 3133-3136 - [c3]Marie Korneliusson, John Martinsson, Olof Mogren:
Generative Modelling of Semantic Segmentation Data in the Fashion Domain. ICCV Workshops 2019: 3169-3172 - 2018
- [c2]John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren:
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. KDH@IJCAI 2018: 64-68 - [c1]John Martinsson, Nasser Mohammadiha, Alexander Schliep:
Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models. ITSC 2018: 3698-3705
Coauthor Index
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