Tommy S. Alstrøm

18 papers A* 1Misc 3Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Contrastive random lead coding for channel-agnostic self-supervision of biosignals.
CoRR
Thea Brüsch, Mikkel N. Schmidt, Tommy S. Alstrøm
2024 J jnl
Explaining time series models using frequency masking.
CoRR
Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Tommy S. Alstrøm, Robert Jenssen
2024 J jnl
FLEXtime: Filterbank learning for explaining time series.
CoRR
Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Robert Jenssen, Tommy S. Alstrøm
2023 — conf
Multi-View Self-Supervised Learning For Multivariate Variable-Channel Time Series.
MLSP
Thea Brüsch, Mikkel N. Schmidt, Tommy S. Alstrøm
2023 J jnl
Multi-view self-supervised learning for multivariate variable-channel time series.
CoRR
Thea Brüsch, Mikkel N. Schmidt, Tommy S. Alstrøm
2023 A* conf
On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data.
CVPR
Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich
2023 J jnl
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity.
CoRR
Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich
2022 J jnl
Partial Variance Reduction improves Non-Convex Federated learning on heterogeneous data.
CoRR
Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich
2022 J jnl
Raman Spectrum Matching with Contrastive Representation Learning.
CoRR
Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm
2019 — conf
A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators.
MLSP
Maximillian Fornitz Vording, Peter O. Okeyo, Juan J. R. Guillamón, Peter E. Larsen, Mikkel N. Schmidt, Tommy S. Alstrøm
2019 — conf
Insights Into The Behaviour Of Multi-Task Deep Neural Networks For Medical Image Segmentation.
MLSP
Lukasz T. Bienias, Juanjo R. Guillamón, Line H. Nielsen, Tommy S. Alstrøm
2019 Misc conf
Peak Detection and Baseline Correction Using a Convolutional Neural Network.
ICASSP
Mikkel N. Schmidt, Tommy S. Alstrøm, Marcus Svendstorp, Jan Larsen
2017 Misc conf
A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy.
ICASSP
Tommy S. Alstrøm, Mikkel N. Schmidt, Tomas Rindzevicius, Anja Boisen, Jan Larsen
2016 — conf
Click chemistry based biomolecular conjugation monitoring using surface-enhanced Raman spectroscopy mapping.
IEEE SENSORS
Mirkó Palla, Shiv Kumar, Zengmin Li, Steffen Jockusch, James J. Russo, Jingyue Ju, Filippo G. Bosco, Tomas Rindzevicius, Tommy S. Alstrøm, Michael S. Schmidt, Anja Boisen
2014 — conf
Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization.
MLSP
Tommy S. Alstrøm, Kasper B. Frohling, Jan Larsen, Mikkel N. Schmidt, Michael Bache, Michael S. Schmidt, Mogens H. Jakobsen, Anja Boisen
2012 Misc conf
Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors.
ICASSP
Tommy S. Alstrøm, Raviv Raich, Natalie V. Kostesha, Jan Larsen
2012 — conf
Haussdorff and hellinger for colorimetric sensor array classification.
MLSP
Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen
2011 — conf
Data representation and feature selection for colorimetric sensor arrays used as explosives detectors.
MLSP
Tommy S. Alstrøm, Jan Larsen, Natalie V. Kostesha, Mogens H. Jakobsen, Anja Boisen