Research Output per year
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
The complexity of social media response: Statistical evidence for one-dimensional engagement signal in twitter
Kowalczyk, D. K. & Hansen, L. K., 1 Jan 2020, Proceedings of the 12th International Conference on Agents and Artificial Intelligence. Rocha, A., Steels, L. & van den Herik, J. (eds.). SciTePress, p. 918-925Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
A differential privacy workflow for inference of parameters in the rasch model
Steiner, T. A., Nyrnberg, D. E. & Hansen, L. K., 1 Jan 2019, Proceedings of ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018. Monreale, A. & Alzate, C. (eds.). Springer, p. 113-124 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11054 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Automatic sleep stage classification based on subcutaneous EEG in patients with epilepsy
Gangstad, S. W., Mikkelsen, K. B., Kidmose, P., Tabar, Y. R., Weisdorf, S., Lauritzen, M. H., Hemmsen, M. C., Hansen, L. K., Kjaer, T. W. & Duun-Henriksen, J., 30 Oct 2019, In : BioMedical Engineering Online. 18, 1, 17 p., 106 .Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Distributed Active Learning Strategies on Edge Computing
Qian, J., Gochhayat, S. P. & Hansen, L. K., 1 Jun 2019, Proceedings of 6th IEEE International Conference on Cyber Security and Cloud Computing and 5th IEEE International Conference on Edge Computing and Scalable Cloud. Qiu, M. (ed.). IEEE, p. 221-226 8854053Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Explainable ai – preface
Samek, W., Montavon, G., Vedaldi, A., Hansen, L. K. & Müller, K. R., 1 Jan 2019, Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Springer, p. v-vii (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11700).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Projects
Embedded neural networks in resource-constrained hearing instruments
Jelcicova, Z., Sparsø, J., Hansen, L. K., Kasapaki, E. & Hebsgaard, A.
01/09/2019 → 31/08/2022
Project: PhD
Machine Learning on a Quantum Computer: Applications in Neuroscience and Hearing Systems
Foldager, J., Hansen, L. K., Andersen, U. L. & Madsen, J.
01/08/2019 → 31/07/2022
Project: PhD
Probabilistic deep learning for hearing aid speech separation
Høegh, R. M. T., Mørup, M., Hansen, L. K., Nielsen, J. B., Westermann, A. & Kressner, A. A.
01/05/2019 → 30/05/2022
Project: PhD
Statistics under stochastic metrics
Hansen, C. W. F., Hauberg, S., Hansen, L. K. & Hansen, C. W. F.
01/09/2018 → 31/08/2021
Project: PhD
Distributed real-time data analytics
Qian, J., Larsen, J., Hansen, L. K., Hansen, L. K. & Fafoutis, X.
01/07/2018 → 30/06/2021
Project: PhD