John Martinsson

According to our database, John Martinsson authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning.

John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen

CoRR, 2024

Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning.

Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson

CoRR, 2024

2022

Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks.

John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

Adversarial representation learning for synthetic replacement of private attributes.

John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks.

John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren

J. Heal. Informatics Res., 2020

Federated learning using a mixture of experts.

Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad

CoRR, 2020

Adversarial representation learning for private speech generation.

David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren

CoRR, 2020

Chassis Hardware Fault Diagnostics with Hidden Markov Model Based Clustering.

Nastaran Soltanipour, Sadegh Rahrovani, John Martinsson, Robin Westlund

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Semantic Segmentation of Fashion Images Using Feature Pyramid Networks.

John Martinsson, Olof Mogren

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Generative Modelling of Semantic Segmentation Data in the Fashion Domain.

Marie Korneliusson, John Martinsson, Olof Mogren

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models.

John Martinsson, Nasser Mohammadiha, Alexander Schliep

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks.

John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren

Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018