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Jahr: 2023
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  1. Meike Ullrich; Constantin Houy; Tobias Stottrop; Michael Striewe; Brian Willems; Peter Fettke; Peter Loos; Andreas Oberweis

    Automated Assessment of Conceptual Models in Education - A Systematic Literature Review

    In: Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modeling (EMISAJ), Vol. 18, No. 2 - Special Issue on Teaching and Learning Conceptual Modeling, Pages 1-36, GI, 2023.

  2. Ekaterina Borisova; Raia Abu Ahmad; Georg Rehm

    Open Science Best Practices in Data Science and Artificial Intelligence

    In: York Sure-Vetter; Carole Goble (Hrsg.). Proceedings of the 1st Conference on Research Data Infrastructure (CoRDI 2023). Conference on Research Data Infrastructure (CoRDI-2023), September 12-14, Karlsruhe, Germany, TIB Open Publishing, 9/2023.

  3. Lorena Sandoval; Saleet Jafri; Jeya Balaji Balasubramanian; Praphulla Bhawsar; Jacob L Edelson; Yasmmin Martins; Wolfgang Maaß; Stephen J Chanock; Montserrat Garcia-Closas; Jonas S Almeida

    PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data

    In: Bioinformatics, Vol. 3, Pages 00-04, Oxford University Press, 10/2023.

  4. Gonzalo Paz Delgado; J. Ricardo Sánchez Ibáñez; Raul Dominguez; Carlos Perez-del-Pulgar; Frank Kirchner; Alfonso Garcia

    Combined Path and Motion Planning for Workspace Restricted Mobile Manipulators in Planetary Exploration

    In: IEEE Access (IEEE), Vol. 11, Pages 78152-78169, IEEE, 2023.

  5. Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel

    Q-seg: Quantum annealing-based unsupervised image segmentation

    In: ArXiv e-prints (arxiv), Vol. arXiv:2311.12912, Pages 1-8, arXiv, 2023.

  6. Matteo Antonio Inajetovic; Filippo Orazi; Antonio Macaluso; Stefano Lodi; Claudio Sartori

    Enabling Non-linear Quantum Operations Through Variational Quantum Splines

    In: CCS 2023 Conference Proceedings. International Conference on Computational Science (ICCS-2023), July 3-5, Prague, Czech Republic, Pages 177-192, Vol. 10477, ISBN 978-3-031-36030-5, Springer, 7/2023.

  7. Nicolò Parmiggiani; Andrea Bulgarelli; Alessandro Ursi; Antonio Macaluso; Ambra Di Piano; Valentina Fioretti; Alessio Aboudan; Leonardo Baroncelli; Antonio Addis; Marco Tavani; Carlotta Pittori

    A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

    In: The Astrophysical Journal (ApJ), Vol. 945, No. 2, Pages 1-12, IOP, 3/2023.

  8. Muhammad Ali Chattha; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting

    In: Springer (Hrsg.). Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. International Conference on Artificial Neural Networks (ICANN), September 26-30, Crete, Greece, Vol. 14259, Springer, 2023.

  9. Muhammad Ali Chattha; Ludger van Elst; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. NA, Page NA, IEEE, 2023.

  10. Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), December 10-16, USA, Advances in Neural Information Processing Systems, 12/2023.

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