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Publications

Displaying results 301 to 310 of 682.

  1. Xiaoting Shao; Karl Stelzner; Kristian Kersting

    Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2202.00391, Pages 0-10, arXiv, 2022.

  2. Arseny Skryagin; Wolfgang Stammer; Daniel Ochs; Devendra Singh Dhami; Kristian Kersting

    Neural-Probabilistic Answer Set Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), July 31 - August 5, Haifa, Israel, IJCAI Organization, 2022.

  3. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  4. Hitesh Kotte; Milos Kravcik; Nghia Duong-Trung

    Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and Feedback

    In: Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Milos Kravcik; Roland Klemke (Hrsg.). Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023). International Workshop on Multimodal Immersive Learning Systems (MILeS-2023), located at Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), September 4-8, Aveiro, Portugal, Pages 64-70, Vol. 3499, CEUR Workshop Proceedings, Aachen, 10/2023.

  5. Jessica Bielski; Burak Mete; Viktor Eisenstadt; Christoph Langenhan; Frank Petzold; Andreas Dengel; Klaus-Dieter Althoff

    Chasing the White Rabbit: A case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board

    In: Proceedings of the 13th International Conference on Computational Creativity. International Conference on Computational Creativity (ICCC-22), 13th, June 27 - July 1, Bolzano, Italy, Pages 73-77, ISBN 978-989-54160-4-2, Association for Computational Creativity (ACC), 6/2022.

  6. Ahmet Kerem Aksoy; Pavel Dushev; Eleni Tzirita Zacharatou; Holmer Hemsen; Marcela Charfuelan Oliva; Jorge Arnulfo Quiane Ruiz; Begüm Demir; Volker Markl

    Satellite Image Search in AgoraEO

    In: Fatma Ozcan; Juliana Freire; Xuemin Li (Hrsg.). Proceedings of the 48th International Conference on Very Large Databases. International Conference on Very Large Data Bases (VLDB-2022), September 5-9, Sydney, Australia, Pages 3646-3649, Vol. 15, No. 12, VLDB Endowment Inc, 8/2022.

  7. Muhammad Saif Ullah Khan; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Three-Dimensional Reconstruction from a Single RGB Image Using Deep Learning: A Review

    In: Journal of Imaging (MDPI J), Vol. 8, No. 225, Pages 1-23, MDPI, 8/2022.

  8. Mirjana Ivanovic; Serge Autexier; Miltiadis Kokkonidis

    AI Approaches in Processing and Using Data in Personalized Medicine

    In: Silvia Chiusano; Tania Cerquitelli; Robert Wrembel (Hrsg.). Advances in Databases and Information Systems. European Conference on Advances in Databases and Information Systems (ADBIS-2022), September 5-8, Turin, Italy, Pages 11-24, LNCS, Vol. 13389, ISBN 978-3-031-15740-0, Springer International Publishing, 8/2022.

  9. Saifullah Saifullah; Shoaib Ahmed Siddiqui; Stefan Agne; Andreas Dengel; Sheraz Ahmed

    Are Deep Models Robust against Real Distortions? A Case Study on Document Image Classification

    In: 26th International Conference on Pattern Recognition 2022. International Conference on Pattern Recognition (ICPR-2022), August 21-25, Montreal, Quebec, Canada, IEEE, 2022.

  10. Maximilian Hoffmann; Lukas Malburg; Ralph Bergmann

    ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks

    In: Andrea Marrella; Barbara Weber (Hrsg.). Business Process Management Workshops. Business Process Management (BPM), Springer, 2021.

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