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Publications

Displaying results 51 to 60 of 571.

  1. Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

    Eau De Q-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

    In: Proceedings of the 2nd Reinforcement Learning Conference 2025. Reinforcement Learning Conference (RLC-2025), August 5-9, Edmonton, AB, Canada, Reinforcement Learning Journal (RLJ), 2025.

  2. Snehal Walunj; Nazanin Mashhaditafreshi; Parsha Pahlevannejad; Achim Wagner; Martin Ruskowski

    Human-Robot Interaction Through Egocentric Hand Gesture Recognition

    In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 125-133, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

  3. Vinit Hegiste; Tatjana Legler; Martin Ruskowski

    Collaborative Learning in Shared Production Environment Using Federated Image Classification

    In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 98-106, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

  4. Neda Foroutan; Markus Schröder; Andreas Dengel

    CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction

    In: Proceedings of Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2024). Konferenz zur Verarbeitung natürlicher Sprache (KONVENS-2024), September 10-13, Vienna, Austria, KONVENS 2024 Organizers, 2024.

  5. Nabeel Khalid; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    Bounding Box is all you need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  6. Nabeel Khalid; Mohammadmahdi Koochali; Duway Nicolas Lesmes Leon; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    CellGenie: An end-to-end Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  7. Nabeel Khalid; Maria Caropresse; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images

    In: 33rd International Conference on Artificial Neural Networks ICANN. International Conference on Artificial Neural Networks (ICANN-2024), September 17-20, Lugano, Switzerland, Springer Nature, Switzerland, 9/2024.

  8. Vijul Shah; Ko Watanabe; Brian Moser; Andreas Dengel

    EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images

    In: IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, TUCSON, USA, IEEE, 2024.

  9. Ilira Troshani; Thiago Gouvea; Daniel Sonntag

    Wild Data Treasures: Towards Sustainable Practices in Deep Learning for Wildlife Monitoring

    In: CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. CHI Workshop on Sustaining Scalable Sustainability, Human-Centered Green Technology for Community-wide Carbon Reduction, located at ACM CHI 2024, May 11, Honolulu, HI, USA, ISBN 979-8-4007-0331-7, ACM, New York, USA, 5/2024.

  10. Ahmed Anwar; Brian Moser; Dayananda Herurkar; Federico Raue; Vinit Heiste; Tatjana Legler; Andreas Dengel

    FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data

    In: 2nd Federated Learning Technologies and Applications Conference 2024. International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-19, Valencia, Spain, IEEEXplore, 2024.

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