Research Output per year
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
On uncertainty estimation in active learning for image segmentation
Li, B. & Alstrøm, T. S., 2020, Proceedings of 2020 International Conference on Machine Learning: Workshop on Uncertainty and Robustness in Deep Learning. 9 p. 062Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access
File
3
Downloads
(Pure)
Quantitative SERS Assay on a Single Chip Enabled by Electrochemically Assisted Regeneration: A Method for Detection of Melamine in Milk
Viehrig, M., Rajendran, S. T., Sanger, K., Schmidt, M. S., Alstrøm, T. S., Rindzevicius, T., Zor, K. & Boisen, A., 2020, In : Analytical chemistry. 92, 6, p. 4317-4325Research output: Contribution to journal › Journal article › Research › peer-review
A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators
Vording, M. F., Okeyo, P. O., Rubio Guillamón, J. J., Schmidt, M. N., Larsen, P. E. & Alstrøm, T. S., 2019, Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access
File
Insights into the behaviour of multi-task deep neural networks for medical image segmentation.
Bienias, L. T., Rubio Guillamón, J. J., Nielsen, L. H. & Alstrøm, T. S., 2019, Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing.. IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access
File
Peak Detection and Baseline Correction Using a Convolutional Neural Network
Schmidt, M. N., Alstrom, T. S., Svendstorp, M. & Larsen, J., 1 May 2019, Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 . IEEE, p. 2757-2761 8682311Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Projects
Towards real time Raman molecular imaging of living organisms
Hansen, D. F., Schmidt, M. N. & Alstrøm, T. S.
01/03/2020 → 28/02/2023
Project: PhD
Live Road Assessment based on modern car sensors
Skar, A., Levenberg, E., Kindler, E., M. Pour, S., Bajic, M. & Alstrøm, T. S.
01/02/2019 → 01/08/2022
Project: Research
Active Deep Learning for Nano Sensor Systems
Vording, M. F., Larsen, J., Schmidt, M. N. & Alstrøm, T. S.
01/08/2017 → 10/10/2020
Project: PhD
Improving customer experience and retention with Big Data analytics
Kowalczyk, D., Derungs, J., Hansen, L. K., Nielsen, F. Å., Alstrøm, T. S., Arenas-Garcia, J. & Bach Pedersen, T.
01/04/2017 → 31/03/2020
Project: PhD
Machine Learning and Signal Processing in Miniaturized Sensor for Explosive Detection
Alstrøm, T. S., Larsen, J., Hansen, L. K., Kidmose, P. & Mandic, D. P.
01/10/2008 → 17/06/2013
Project: PhD
Activities
- 1 Conference presentations
Integration of Nanopillar SERS Substrates in a Microfluidic Platform for Analyte Separation and Quantitative Sensing
Onur Durucan (Guest lecturer), , Lidia Morelli (Guest lecturer), , Kaiyu Wu (Guest lecturer), , Marlitt Viehrig (Guest lecturer), , Oleksii Ilchenko (Guest lecturer), , Kinga Zor (Guest lecturer), , Marco Matteucci (Guest lecturer), , Tommy Sonne Alstrøm (Guest lecturer), , Tomas Rindzevicius (Guest lecturer), , Michael Stenbæk Schmidt (Guest lecturer), & Anja Boisen (Guest lecturer)
11 Jun 2017 → 17 Jun 2017
Activity: Talks and presentations › Conference presentations