| [1] | John Martinsson and Maria Sandsten. DMEL : The differentiable log-Mel spectrogram as a trainable layer in neural networks. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. [ bib | www: ] |
| [2] | John Martinsson, Marcus Runefors, Håkan Frantzich, Dag Glebe, Margaret McNamee, and Olof Mogren. A Novel Method for Smart Fire Detection Using Acoustic Measurements and Machine Learning: Proof of Concept. Fire Technology, pages 3385--3403, 2022. [ bib | DOI | http ] |
| [3] | Dag Glebe, Torbjörn Johansson, John Martinsson, and Anders Genell. Bullerdatainsamling och autonom artidentifiering för att underlätta miljöövervakning. Technical Report December, Naturvårdsverket, 2022. [ bib | http ] |
| [4] | John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, and Maria Sandsten. Few-shot bioacoustic event detection using an event-length adapted ensemble of prototypical networks. In The 7th Workshop on Detection and Classification of Acoustic Scenes and Events, number November, pages 2--6, 2022. [ bib | .pdf ] |
| [5] | John Martinsson, Edvin Listo Zec, Daniel Gillblad, and Olof Mogren. Adversarial representation learning for synthetic replacement of private attributes. Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, pages 1291--1299, 2021. [ bib | DOI | arXiv | http ] |
| [6] | John Martinsson, Alexander Schliep, Björn Eliasson, and Olof Mogren. Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks. Journal of Healthcare Informatics Research, 4(1):1--18, 2020. [ bib | DOI | http ] |
| [7] | John Martinsson and Olof Mogren. Semantic Segmentation of Fashion Images Using Feature Pyramid Networks. Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, pages 3133--3136, 2020. [ bib | DOI | http ] |
| [8] | Marie Korneliusson, John Martinsson, and Olof Mogren. Generative Modelling of Semantic Segmentation Data in the Fashion Domain. Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, pages 3169--3172, 2020. [ bib | DOI | http ] |
| [9] | John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, and Olof Mogren. Automatic blood glucose prediction with confidence using recurrent neural networks. In CEUR Workshop Proceedings, volume 2148, pages 64--68, 2018. [ bib | .pdf ] |
| [10] | John Martinsson, Nasser Mohammadiha, and Alexander Schliep. Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2018-Novem:3698--3705, 2018. [ bib | DOI | http ] |
| [11] | John Martinsson. Bird Species Identification using Convolutional Neural Networks. Technical report, Chalmers University of Technology, 2017. [ bib | .pdf ] |
