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Publications

Displaying results 2021 to 2030 of 14764.

  1. 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, ISBRA 2023, Proceedings. International Symposium on Bioinformatics Research and Applications (ISBRA-2023), October 9-12, Wroclaw, Poland, Pages 72-84, Lecture Notes in Computer Science (LNC), Vol. 14248, ISBN 978-981-99-7073-5, Springer, 2023.

  2. 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.

  3. Martin Mladenov; Leonard Kleinhans; Kristian Kersting

    Lifted Convex Quadratic Programming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.04486, Pages 0-10, arXiv, 2016.

  4. Kristian Kersting; Christian Bauckhage; Mirwaes Wahabzada; Anne-Katrin Mahlein; Ulrike Steiner; Erich-Christian Oerke; Christoph Römer; Lutz Plümer

    Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants

    In: Jörg Lässig; Kristian Kersting; Katharina Morik (Hrsg.). Computational Sustainability. Pages 99-120, Studies in Computational Intelligence, Vol. 645, Springer, 2016.

  5. Muhammad El-Hindi; Tobias Ziegler; Matthias Heinrich; Adrian Lutsch; Zheguang Zhao; Carsten Binnig

    Benchmarking the Second Generation of Intel SGX Hardware

    In: Spyros Blanas; Norman May (Hrsg.). International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2022), June 13, Philadelphia, PA, USA, Pages 5:1-5:8, ACM, 2022.

  6. Felix Friedrich; Katharina Hämmerl; Patrick Schramowski; Jindrich Libovický; Kristian Kersting; Alexander Fraser

    Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2401.16092, Pages 1-24, arXiv, 2024.

  7. Antonia Wüst; Wolfgang Stammer; Quentin Delfosse; Devendra Singh Dhami; Kristian Kersting

    Pix2Code: Learning to Compose Neural Visual Concepts as Programs

    In: Negar Kiyavash; Joris M. Mooij (Hrsg.). Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain. Conference in Uncertainty in Artificial Intelligence (UAI), Pages 3829-3852, Proceedings of Machine Learning Research, Vol. 244, PMLR, 2024.

  8. Harsh Poonia; Moritz Willig; Zhongjie Yu; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    (chi)SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains

    In: Negar Kiyavash; Joris M. Mooij (Hrsg.). Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain. Conference in Uncertainty in Artificial Intelligence (UAI), Pages 3004-3020, Proceedings of Machine Learning Research, Vol. 244, PMLR, 2024.

  9. Moritz Willig; Matej Zecevic; Kristian Kersting

    "Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper)

    In: Philipp Cimiano; Anette Frank; Michael Kohlhase; Benno Stein (Hrsg.). Robust Argumentation Machines - First International Conference, RATIO 2024, Bielefeld, Germany, June 5-7, 2024, Proceedings. International Conference on Recent Advances in Robust Argumentation Machines (RATIO), Pages 266-275, Lecture Notes in Computer Science, Vol. 14638, Springer, 2024.

  10. Florian Peter Busch; Moritz Willig; Jonas Seng; Kristian Kersting; Devendra Singh Dhami

    (Psi)net: Efficient Causal Modeling at Scale

    In: Johan Kwisthout; Silja Renooij (Hrsg.). International Conference on Probabilistic Graphical Models, De Lindenberg, Nijmegen, the Netherlands, 11-13 September 2024. International Conference on Probabilistic Graphical Models (PGM), Pages 452-469, Proceedings of Machine Learning Research, Vol. 246, PMLR, 2024.

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