John Martinsson

19 papers Misc 1Journal 9Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning. EUSIPCO Richard Lindholm, Oscar Marklund, Olof Mogren, John Martinsson
2025	J	`jnl`	Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning. CoRR Richard Lindholm, Oscar Marklund, Olof Mogren, John Martinsson
2025	J	`jnl`	The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time. CoRR John Martinsson, Olof Mogren, Tuomas Virtanen, Maria Sandsten
2025	J	`jnl`	The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time. Trans. Mach. Learn. Res. John Martinsson, Tuomas Virtanen, Maria Sandsten, Olof Mogren
2024	Misc	`conf`	DMEL: The Differentiable Log-Mel Spectrogram as a Trainable Layer in Neural Networks. ICASSP John Martinsson, Maria Sandsten
2024	—	`conf`	From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. EUSIPCO John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen
2024	J	`jnl`	From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. CoRR John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen
2024	J	`jnl`	Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. CoRR Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson
2022	—	`conf`	Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. DCASE John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten
2021	—	`conf`	Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
2020	J	`jnl`	Adversarial representation learning for private speech generation. CoRR David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren
2020	J	`jnl`	Adversarial representation learning for synthetic replacement of private attributes. CoRR John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
2020	J	`jnl`	Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks. J. Heal. Informatics Res. John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren
2020	—	`conf`	Chassis Hardware Fault Diagnostics with Hidden Markov Model Based Clustering. ITSC Nastaran Soltanipour, Sadegh Rahrovani, John Martinsson, Robin Westlund
2020	J	`jnl`	Federated learning using a mixture of experts. CoRR Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad
2019	—	`conf`	Generative Modelling of Semantic Segmentation Data in the Fashion Domain. ICCV Workshops Marie Korneliusson, John Martinsson, Olof Mogren
2019	—	`conf`	Semantic Segmentation of Fashion Images Using Feature Pyramid Networks. ICCV Workshops John Martinsson, Olof Mogren
2018	—	`conf`	Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. KDH@IJCAI John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren
2018	—	`conf`	Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models. ITSC John Martinsson, Nasser Mohammadiha, Alexander Schliep