Research

P1 Publications

  • 2023 IEEE International Conference on Big Data (BigData)

    Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems

    Antonela Tommasel, Ira Assent

  • Journal of Medical Imaging

    Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk

    Andreas D. Lauritzen, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm

  • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

    Robustness of Visual Explanations to Common Data Augmentation Methods

    Lars Kai Hansen, Lenka Tëtková

  • IEEE Transactions on Knowledge and Data Engineering

    Selective Imputation for Multivariate Time Series Datasets With Missing Values

    Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Ø. Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, Jose A. Lozano

  • 2023 IEEE International Conference on Data Mining (ICDM)

    SGD Biased towards Early Important Samples for Efficient Training

    Alessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent

  • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

    TemPose: a new skeleton-based transformer model designed for fine-grained motion recognition in badminton

    Magnus Ibh, Stella Grasshof, Dan Witzner Hansen, Pascal Madeleine

  • Computer Vision – ECCV 2022 Workshops (ECCV 2022)

    Text-Driven Stylization of Video Objects

    Sebastian Loeschcke, Serge Belongie, Sagie Benaim

  • Physics of Life Reviews

    The fine-grained temporal dynamics of social timing: a window into sociality of embodied social agents. Comment on “The evolution of social timing” by L. Verga, S. A. Kotz, & A. Ravignani

    Ivana Konvalinka, Kyveli Kompatsiari, Qianliang Li

  • Proceedings of the 40th International Conference on Machine Learning

    Unifying Molecular and Textual Representations via Multi-task Language Modelling

    Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica

  • Nature Computational Science

    Using sequences of life-events to predict human lives

    Germans Savcisens, Tina Eliassi-Rad, Lars K. Hansen, Laust H. Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann J.

  • IEEE Transactions on Pattern Analysis and Machine Intelligence

    Video Transformers: A Survey

    Javier Selva, Anders S. Johansen, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund, Albert Clapés

  • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

    Which Tokens to Use? Investigating Token Reduction in Vision Transformers

    Joakim B. Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund

  • IEEE Journal of Selected Topics in Signal Processing (2022)

    Self-Supervised Speech Representation Learning: A Review

    Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe

  • Frontiers in Environmental Science

    Interpretation of convolutional neural networks for acid sulfate soil classification

    Amelie Beucher, Christoffer B. Rasmussen, Thomas B. Moeslund, Mogens H. Greve

  • Synthese

    Understanding models understanding language

    Anders Søgaard

  • Radiology

    An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

    Andreas D. Lauritzen, Alejandro Rodríguez-Ruiz, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm

  • IET Image Processing

    Real-world super-resolution of face-images from surveillance cameras

    Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund

  • Journal of Multivariate Analysis

    Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space

    Anna Calissano, Aasa Feragen, Simone Vantini

  • AI and Ethics 2022

    Rawlsian AI fairness loopholes

    Anna K. Jørgensen, Anders Søgaard

  • BMJ Open 2022

    Using machine learning to identify quality-of-care predictors for emergency caesarean sections: a retrospective cohort study

    Betina R. Andersen, Ida Ammitzbøll, Jesper Hinrich, Sune Lehmann J., Charlotte V. Ringsted, Ellen C. L. Løkkegaard, Martin G. Tolsgaard

  • PloS one

    Characterizing polarization in online vaccine discourse—A large-scale study

    Bjarke Mønsted, Sune Lehmann J.

  • The American Journal of Gastroenterology

    High Accuracy in Classifying Endoscopic Severity in Ulcerative Colitis Using Convolutional Neural Network

    Bobby Lo, Zhuo Y. Liu, Flemming Bendtsen, Christian Igel, Ida Vind, Johan Burisch

  • Water 2022

    Data-Driven Drift Detection in Real Process Tanks: Bridging the Gap between Academia and Practice

    Bolette D. Hansen, Thomas B. Hansen, Thomas B. Moeslund, David G. Jensen

  • Association for Computational Linguistics

    Multilingual Multimodal Learning with Machine Translated Text

    Chen Qiu, Dan Oneață, Emanuele Bugliarello, Stella Frank, Desmond Elliott

  • Sensors 2022

    The Challenge of Data Annotation in Deep Learning—A Case Study on Whole Plant Corn Silage

    Christoffer B. Rasmussen, Kristian Kirk, Thomas B. Moeslund