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Publications

Displaying results 141 to 150 of 661.
  1. Matthias Tschöpe; Stefan Gerd Fritsch; Vitor Fortes Rey; Niranjan Narendra Nandurkar; Sarah Trevenna; Eloise Monger; Paul Lukowicz

    NEEDLE: Nurse Education Enhanced by Vision-based Deep Learning Evaluation

    In: 2025 7th International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC), April 21-25, Abu Dhabi, Abu Dhabi, United Arab Emirates, Pages 1-10, IEEE Xplore, 2025.

  2. Evaluating Deep Learning Models for Posture and Movement Recognition During the ABCDE Protocol in Nurse Education

    In: 2024 International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC-2024), 6th International Conference on Activity and Behavior Computing, May 28-31, Nakatsu, Japan, Pages 1-10, IEEE, 2024.

  3. An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks

    In: IDA 2025. International Symposium on Intelligent Data Analysis (IDA-2025), May 7-9, Konstanz, Germany, Springer, 5/2025.

  4. Qiushi Guo; Shaoxiang Wang; Chun-Peng Chang; Jason Raphael Rambach

    CACP: Context-Aware Copy-Paste to Enrich Image Content for Data Augmentation

    In: Proceedings of the 1st Workshop on Exploring the Next Generation of Data. CVPR Workshop on Exploring the Next Generation of Data (NeXD-25), located at CVPR 2025, June 11, Nashville, TN, USA, IEEE, 2025.

  5. Interactive Multimodal Photobook Co-Creation in Virtual Reality

    In: Companion Proceedings of the 30th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces (IUI-2025), March 24-27, Cagliari, Italy, Pages 146-151, ISBN 979-8-4007-1409-2, Association for Computing Machinery, New York, NY, USA, 3/2025.

  6. Daniel Hernández-Lobato; Viktoriia Sharmanska; Kristian Kersting; Christoph H. Lampert; Novi Quadrianto

    Mind the Nuisance: Gaussian Process Classification using Privileged Noise

    In: Zoubin Ghahramani; Max Welling; Corinna Cortes; Neil D. Lawrence; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014. Neural Information Processing Systems (NeurIPS-2014), December 8-13, Montreal, Quebec, Canada, Pages 837-845, Curran Associates, Inc. 2014.

  7. Alejandro Molina; Antonio Vergari; Karl Stelzner; Robert Peharz; Pranav Subramani; Nicola Di Mauro; Pascal Poupart; Kristian Kersting

    SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1901.03704, Pages 0-10, arXiv, 2019.

  8. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Xiaoting Shao; Kristian Kersting; Zoubin Ghahramani

    Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

    In: Amir Globerson; Ricardo Silva (Hrsg.). Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2019), July 22-25, Tel Aviv, Israel, Pages 334-344, Proceedings of Machine Learning Research, Vol. 115, AUAI Press, 2019.

  9. Claas Völcker; Alejandro Molina; Johannes Neumann; Dirk Westermann; Kristian Kersting

    DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets

    In: Peggy Cellier; Kurt Driessens (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2019), International Workshops of ECML PKDD 2019, Proceedings, Part I, September 16-20, Würzburg, Germany, Pages 28-43, Communications in Computer and Information Science, Vol. 1167, Springer, 2019.

  10. Navdeep Kaur; Gautam Kunapuli; Saket Joshi; Kristian Kersting; Sriraam Natarajan

    Neural Networks for Relational Data

    In: Dimitar Kazakov; Can Erten (Hrsg.). Inductive Logic Programming - 29th International Conference, Proceedings. International Conference on Inductive Logic Programming (ILP-2019), September 3-5, Plovdiv, Bulgaria, Pages 62-71, Lecture Notes in Computer Science (LNAI), Vol. 11770, Springer, 2019.