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Publications

Displaying results 301 to 310 of 682.
  1. Vitor Fortes Rey; Pedro Martelleto Bressane Rezende; Bo Zhou; Sungho Suh; Paul Lukowicz

    COA-HAR: Exploring contrastive online test-time adaptation for wearable sensor-based human activity recognition using sensor data augmentation

    In: Expert Systems with Applications (ESWA), Vol. 297, Page 129288, Elsevier, 2026.

  2. Multimodal approach for imbalanced document classification

    In: Wolfgang Osten (Hrsg.). Seventeenth International Conference on Machine Vision (ICMV 2024). International Conference on Machine Vision (ICMV-2024), October 10-13, Edinburg, United Kingdom, Pages 347-358, SPIE Conference Proceedings, Vol. 13517, SPIE, 2024.

  3. Prudhvi Kumar Kakani; Mohammad Asif Habibi; Manjunath Reddy Chavva Balannagari; Xavier Costa-Pérez; Hans Dieter Schotten

    Mitigating ML-Driven Adversarial Attacks on xApps Using Dynamic Defense Mechanisms

    In: IEEE Open Journal of the Communications Society (OJCOMS), Vol. 6, Pages 6912-6929, IEEE, 2025.

  4. DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR), June 3-7, Denver, Colorado, United States Minor Outlying Islands, IEEE, 2026.

  5. Feiyu Xu; Hong Li; Yi Zhang; Hans Uszkoreit; Sebastian Krause

    Minimally Supervised Domain-Adaptive Parse Reranking for Relation Extraction

    In: Proceedings of International Conference on Parsing Technologies (IWPT 2011). International Conference on Parsing Technologies (IWPT-2011), 12th, October 5-7, Dublin, Ireland, Pages 118-128, 2011.

  6. Peter Adolphs; Feiyu Xu; Hans Uszkoreit; Hong Li

    Dependency Graphs as a Generic Interface between Parsers and Relation Extraction Rule Learning

    In: Proceedings of the 34th Annual German Conference on Artificial Intelligence. German Conference on Artificial Intelligence (KI-2011), 34th, October 4-7, Berlin, Germany, Springer, 10/2011.

  7. Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2020), Springer, 2020.

  8. Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification

    In: Neural Computing and Applications, Vol. 33, Pages 5437-5469, Springer, 9/2020.

  9. CircNet: An encoder–decoder-based convolution neural network (CNN) for circular RNA identification

    In: Neural Computing and Applications, Vol. 34, Pages 11441-11452, Springer, London, 1/2021.