Publications
2024
John Martinsson, Maria Sandsten, DMEL: The Differentiable Log-Mel Spectrogram as a Trainable Layer in Neural Networks, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024.
John Martinsson, Efficient and precise annotation of local structures in data, Licentiate Thesis, Lund University, Lund, Sweden, 2024.
John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen, From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning, 2024 32nd European Signal Processing Conference (EUSIPCO), Lyon, France, 2024.
2022
John Martinsson, Marcus Runefors, Håkan Frantzich, Dag Glebe, Margaret McNamee, Olof Mogren, A Novel Method for Smart Fire Detection Using Acoustic Measurements and Machine Learning: Proof of Concept, Fire Technology, 2022.
John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten, Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks, Detection and Classification of Acoustic Scenes and Events 2022, Nancy, France, 2022.
Dag Glebe, Torbjörn Johansson, John Martinsson, Anders Genell, Bullerdatainsamling och autonom artidentifiering för att underlätta miljöövervakning, Technical Report December, Naturvårdsverket, 2022.
2021
John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren, Adversarial representation learning for synthetic replacement of private attributes, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, 2021.
2020
Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad, Specialized federated learning using a mixture of experts, arXiv, 2020.
John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren, Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks, Journal of Healthcare Informatics Research, 2020.
David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren, Adversarial representation learning for private speech generation, ICML Workshop: Self-supervision in Audio and Speech, Virtual, 2020.
John Martinsson, Olof Mogren, Semantic Segmentation of Fashion Images Using Feature Pyramid Networks, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, 2020.
Marie Korneliusson, John Martinsson, Olof Mogren, Generative Modelling of Semantic Segmentation Data in the Fashion Domain, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, 2020.
2018
John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren, Automatic blood glucose prediction with confidence using recurrent neural networks, CEUR Workshop Proceedings, 2018.
John Martinsson, Nasser Mohammadiha, Alexander Schliep, Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2018.
2017
John Martinsson, Bird Species Identification using Convolutional Neural Networks, Master's thesis, Chalmers University of Technology, 2017.