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  1. 2022
  2. Udgivet

    Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

    Selvan, Raghav, Bhagwat, N., Anthony, L. F. W., Kanding, B. & Dam, Erik Bjørnager, 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference Singapore, September 18–22, 2022 Proceedings, Part V. Springer, s. 506–516 (Lecture Notes in Computer Science, Bind 13435).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    DOREEN: A Game of Provocations Creating New Ambitions for Equity in Computing through Intertextual Design

    Vej, J., Borsotti, Valeria, Savage, Valkyrie Arline, Engell-Nørregård, M. P. & Bjorn, Pernille, 2022, Proceedings of the 12th Nordic Conference on Human-Computer Interaction. Association for Computing Machinery, s. 1-8

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Udgivet

    Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space

    Antanavicius, J., Leiras, Roberto & Selvan, Raghav, 2022, Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. Hering, A., Schnabel, J., Zhang, M., Ferrante, E., Heinrich, M. & Rueckert, D. (red.). 1 udg. Springer Science and Business Media Deutschland GmbH, s. 166-176 11 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13386 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  5. Udgivet

    Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting

    Chalkidis, Ilias & Søgaard, Anders, 2022, FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022). ASSOC COMPUTATIONAL LINGUISTICS-ACL, s. 2441-2454 14 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. Udgivet

    Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods

    Schön, Julian Elisha, Selvan, Raghav & Petersen, Jens, 2022, Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, s. 24-33 (Lecture Notes in Computer Science, Bind 13609).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. Udgivet

    TempEL: Linking Dynamically Evolving and Newly Emerging Entities

    Zaporojets, K., Kaffee, L. F., Deleu, J., Demeester, T., Develder, C. & Augenstein, Isabelle, 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, 17 s. (Advances in Neural Information Processing Systems, Bind 35).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. Udgivet

    Tiling with Squares and Packing Dominos in Polynomial Time

    Aamand, Anders, Abrahamsen, Mikkel, Ahle, T. & Rasmussen, Peter Michael Reichstein, 2022, 38th International Symposium on Computational Geometry, SoCG 2022. Goaoc, X. & Kerber, M. (red.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 1. (Leibniz International Proceedings in Informatics, LIPIcs, Bind 224).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  9. 2021
  10. Udgivet

    An algorithm for stochastic and adversarial bandits with switching costs

    Rouyer, C., Seldin, Yevgeny & Cesa-Bianchi, N., 2021, Proceedings of the 38th International Conference on Machine Learning (ICML). PMLR, s. 9127-9135 (Proceedings of Machine Learning Research, Bind 139).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  11. Udgivet

    An inversion tool for conditional term rewriting systems - a case study of Ackermann inversion

    Mikkelsen, M. B., Glück, Robert & Kirkeby, M. H., 2021, Proceedings of the 9th International Workshop on Verification and Program Transformation. Lisitsa, A. & Nemytykh, A. P. (red.). arxiv.org, s. 33-41 9 s. (Electronic Proceedings in Theoretical Computer Science, EPTCS, Bind 341).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

  12. Udgivet

    Classifying convex bodies by their contact and intersection graphs

    Aamand, Anders, Abrahamsen, Mikkel, Knudsen, J. B. T. & Rasmussen, Peter Michael Reichstein, 2021, 37th International Symposium on Computational Geometry, SoCG 2021. Buchin, K. & de Verdiere, E. C. (red.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 16 s. 3. (Leibniz International Proceedings in Informatics, LIPIcs, Bind 189).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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