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Publications

Displaying results 351 to 360 of 681.

  1. Melle Mendikowski; Mattis Hartwig

    Creating Customers That Never Existed - Synthesis of E-commerce Data Using CTGAN

    In: ibai - publishing (Hrsg.). Machine Learning and Data Mining in Pattern Recognition. International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM-2022), 18th International Conference on Machine Learning and Data Mining, July 16-21, New York, New York, USA, Pages 91-105, Vol. 284, ISBN 978-3-942952-93-4, Springer, Heidelberg, 7/2022.

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

    Autocompletion of Floor Plans for the Early Design Phase in Architecture: Foundations, Existing Methods, and Research Outlook

    In: POST-CARBON - Proceedings of the 27th CAADRIA Conference. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2022), Pages 323-332, CUMINCAD, 2022.

  3. Benjamin Paaßen; Irena Koprinska; Kalina Yacef

    Recursive tree grammar autoencoders

    In: Peggy Cellier; Krzysztof Dembczynski; Albrecht Zimmermann; Emilie Devijver (Hrsg.). Machine Learning, Vol. Special Issue of the ECML PKDD 2022 Journal Track, Pages 1-31, Springer, 2022.

  4. Maximilian Hoffmann; Ralph Bergmann

    Improving Automated Hyperparameter Optimization with Case-Based Reasoning

    In: Mark T. Keane; Nirmalie Wiratunga (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR), Springer, Cham, 2022.

  5. 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.

  6. 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.

  7. 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.

  8. Mohsin Munir; Muhammad Ali Chattha; Sheraz Ahmed; Andreas Dengel

    A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

    In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2019), December 16-19, Boca Raton, Florida, USA, Pages 561-566, ISBN 978-1-7281-4550-1, IEEE, 12/2019.

  9. Rodrigo Suarez‑Ibarrola; Simon Hein; Gerd Reis; Christian Gratzke; Arkadiusz Miernik

    Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer

    In: World Journal of Urology (WJUR), Vol. 2018, Pages 1-19, Springer-Verlag GmbH Germany, part of Springer Nature 2019, 2019.

  10. Wei Jiang; Hans Dieter Schotten

    A Deep Learning Method to Predict Fading Channel in Multi-Antenna Systems

    In: 2020 IEEE 91st Vehicular Technology Conference. IEEE Vehicular Technology Conference (VTC-2020), May 25-28, Antwerp, Belgium, IEEE, 2020.

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