Department of Computer Science

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  1. 2019
  2. Published

    Compositional deep learning in Futhark

    Tran, D. M., Henriksen, Troels & Elsman, Martin, 18 Aug 2019, FHPNC 2019 - Proceedings of the 8th ACM SIGPLAN International Workshop on Functional High-Performance and Numerical Computing, co-located with ICFP 2019. Zocca, M. (ed.). Association for Computing Machinery, p. 47-59

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. Published

    U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

    Perslev, Mathias, Hejselbak Jensen, M., Darkner, Sune, Jørgen Jennum, P. & Igel, Christian, 1 Oct 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS Proceedings, Vol. 32. p. 4415-4426

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. 2020
  5. Published

    A Complete Characterization of Infinitely Repeated Two-Player Games having Computable Strategies with no Computable Best Response under Limit-of-Means Payoff

    Dargaj, J. & Simonsen, Jakob Grue, 2020, EC 2020 - Proceedings of the 21st ACM Conference on Economics and Computation. Association for Computing Machinery, p. 69-70 2 p. 3399520

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Published

    A Formally Verified Static Analysis Framework for Compositional Contracts

    Henglein, Fritz, Larsen, C. K. & Murawska, A., 2020. 18 p.

    Research output: Contribution to conference › Paper › Research › peer-review

  7. Published

    Back to the Future: Sequential Alignment of Text Representations

    Bjerva, J., Kouw, W. M. & Augenstein, Isabelle, 2020, Proceedings of the 34th AAAI Conference on Artificial Intelligence. AAAI Press, 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

    Anthony, L. F. W., Kanding, B. & Selvan, Raghav, 2020. 11 p.

    Research output: Contribution to conference › Paper › Research › peer-review

  9. Published

    Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial

    Sørensen, L., Nielsen, Mads, Petersen, Jens, Pedersen, J. H., Dirksen, A. & de Bruijne, Marleen, 2020, In: American Journal of Roentgenology. 214, 6, p. 1269-1279

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    Compiling generalized histograms for GPU

    Henriksen, Troels, Hellfritzsch, S., Sadayappan, P. & Oancea, Cosmin Eugen, 2020, Proceedings of SC 2020: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 9355244

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  11. Published

    Context Matters in Disorder Based Protein Communication

    Kragelund, Birthe Brandt, Prestel, Andreas, Wickmann, N., Martins, J., Boomsma, Wouter, Staby, L., Hendus-Altenburger, R. & Skriver, Karen, 2020, In: Biophysical Journal. 118, 3, suppl. 1, p. 491A 2407-Plat.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  12. Published

    Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study

    Daza, E. J., Wac, Katarzyna & Oppezzo, M., 2020, In: Healthcare. 8, 1, 17 p., 6.

    Research output: Contribution to journal › Journal article › Research › peer-review

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