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Publications

Displaying results 1 to 10 of 470.

  1. Lala Shakti Swarup Ray; Daniel Geißler; Bo Zhou; Paul Lukowicz; Berit Greinke

    Capafoldable: Self-Tracking Foldable Smart Textiles With Capacitive Sensing

    In: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on …

  2. Hyungmin Kim; Sungho Suh; Daehwan Kim; Daun Jeong; Hansang Cho; Junmo Kim

    Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery

    In: IEEE/CVF International Conference on Computer Vision. International Conference on Computer Vision (ICCV-2023), October 2-5, Paris, France, …

  3. Lala Ray; Bo Zhou; Sungho Suh; Paul Lukowicz

    PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation

    In: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE …

  4. Sungho Suh; Vitor Fortes Rey; Paul Lukowicz

    TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation

    In: Knowledge-Based Systems (KBS), Vol. 260, Page 110143, Elsevier, 1/2023.

  5. Nicolò Parmiggiani; Andrea Bulgarelli; Alessandro Ursi; Antonio Macaluso; Ambra Di Piano; Valentina Fioretti; Alessio Aboudan; Leonardo Baroncelli; Antonio Addis; Marco Tavani; Carlotta Pittori

    A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

    In: The Astrophysical Journal (ApJ), Vol. 945, No. 2, Pages 1-12, IOP, 3/2023.

  6. Muhammad Ali Chattha; Ludger van Elst; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. NA, Page NA, IEEE, 2023.

  7. Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), …

  8. Ahtisham Fazeel Abbasi; Muhammad Nabeel Asim; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    Deep Learning Architectures For the Prediction of YY1-Mediated Chromatin Loops

    In: Xuan Guo; Serghei Mangul; Murray Patterson; Alexander Zelikovsky (Hrsg.). Bioinformatics Research and Applications, 19th International Symposium, …

  9. Faiza Mehmood; Rehab Shahzadi; Hina Ghafoor; Muhammad Nabeel Asim; Muhammad Usman Ghani; Waqar Mahmood; Andreas Dengel

    EnML: Multi-label Ensemble Learning for Urdu Text Classification

    In: ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 22, Pages 1-31, ACM, 9/2023.

  10. Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI

    In: Juan Guillermo Diaz Ochoa (Hrsg.). Frontiers in Bioinformatics, Vol. 3, Pages 1-19, Frontiers Media SA, 7/2023.

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