John Martinsson

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Active Learning Framework

Top Venues

Publications

John Martinsson, Maria Sandsten
DMEL: The Differentiable Log-Mel Spectrogram as a Trainable Layer in Neural Networks. ICASSP (2024)
John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. CoRR (2024)
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 (2024)
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)
John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData (2021)
Nastaran Soltanipour, Sadegh Rahrovani, John Martinsson, Robin Westlund
Chassis Hardware Fault Diagnostics with Hidden Markov Model Based Clustering. ITSC (2020)
David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren
Adversarial representation learning for private speech generation. CoRR (2020)
John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
Adversarial representation learning for synthetic replacement of private attributes. CoRR (2020)
John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren
Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks. J. Heal. Informatics Res. 4 (1) (2020)
Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad
Federated learning using a mixture of experts. CoRR (2020)
John Martinsson, Olof Mogren
Semantic Segmentation of Fashion Images Using Feature Pyramid Networks. ICCV Workshops (2019)
Marie Korneliusson, John Martinsson, Olof Mogren
Generative Modelling of Semantic Segmentation Data in the Fashion Domain. ICCV Workshops (2019)
John Martinsson, Nasser Mohammadiha, Alexander Schliep
Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models. ITSC (2018)
John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. KHD@IJCAI (2018)