Publications

Ekaterina Borisova; Raia Abu Ahmad; Leyla Garcia-Castro; Ricardo Usbeck; Georg Rehm

Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse

In: Sophie Henning; Manfred Stede (Hrsg.). Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII). Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 17-22, St. Julians, Malta, Pages 29-45, Association for Computational Linguistics, 3/2024.

Timo Markert; Elias Hoerner; Sebastian Matich; Andreas Theissler; Martin Atzmueller

Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach

In: 2023 International Conference on Machine Learning and Applications (ICMLA). International Conference on Machine Learning and Applications (ICMLA), Pages 1045-1051, IEEE, 2023.

Sahil Sidheekh; Kristian Kersting; Sriraam Natarajan

Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference

In: Robin J. Evans; Ilya Shpitser (Hrsg.). Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI), July 31 - August 4, Pittsburgh, PA, USA, Pages 1964-1973, Proceedings of Machine Learning Research, Vol. 216, PMLR, 2023.

Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

(alpha)ILP: thinking visual scenes as differentiable logic programs

In: Machine Learning, Vol. 112, No. 5, Pages 1465-1497, Springer, 2023.

Ahmed Abadulla Ashlam; Atta Badii; Frederic Theodor Stahl

Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time

In: 2022 15th International Conference on Security of Information and Networks (SIN). International Conference on Security of Information and Networks (SIN-2022), November 11-13, Sousse, Tunisia, Pages 1-4, IEEE Xplore, Piscataway Township, New Jersey, 12/2022.

Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

Rapid prediction of ground shaking intensity with Graph Neural Networks

In: Proceedings of the Third European Conference on Earthquake Engineering and Seismology -- 3ECEES. European Conference on Earthquake Engineering and Seismology (3ECEES-2022), PUBLISHING Conspress & editors, 2022.

Ammar Memari; Van Coung Dam; Lars Nolle

Deep Learning for Detecting Tilt Angle and Orientation of Photovoltaic Panels on Satellite Imagery

In: Artificial Intelligence XXXIX - 42nd SGAI International Conference on Artificial Intelligence, AI 2022 - Proceedings. SGAI International Conference on Artificial Intelligence (AI-2022), December 13-15, Cambridge, United Kingdom, Lecture Notes in Artificial Intelligence (LNAI), Vol. 13652, Springer Nature Switzerland AG, Cham, 12/2022.

Jason Raphael Rambach; Alain Pagani; Didier Stricker

Principles of Object Tracking and Mapping

In: Andrew Yeh Ching Nee; Soh Khim Ong. Springer Handbook of Augmented Reality. Pages 53-84, Springer Handbooks, ISBN 978-3-030-67821-0, Springer, Switzerland, 1/2023.

Freddy Sikouonmeu; Martin Atzmueller

Active-Learning-Driven Deep Interactive Segmentation for Cost-Effective Labeling of Crop-Weed Image Data

In: Konferenzband der 43. GIL-Jahrestagung. GIL-Jahrestagung (GIL-2023) Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2023), February 13-14, Osnabrück, Germany, GI, Bonn, 2023.