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Publications

Displaying results 211 to 220 of 571.

  1. Sungho Suh; Vitor Fortes Rey; Paul Lukowicz

    TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation

    In: Knowledge-Based Systems (KBS), Vol. 260, Page 110143, Elsevier, 1/2023.

  2. Benjamin Hilprecht; Carsten Binnig; Tiemo Bang; Muhammad El-Hindi; Benjamin Hättasch; Aditya Khanna; Robin Rehrmann; Uwe Röhm; Andreas Schmidt; Lasse Thostrup; Tobias Ziegler

    DBMS Fitting: Why should we learn what we already know?

    In: 10th Conference on Innovative Data Systems Research. Conference on Innovative Data Systems Research (CIDR-2020), January 12-15, Amsterdam, Netherlands, www.cidrdb.org, 2020.

  3. Wei Jiang; Hans Dieter Schotten

    Deep Learning-Aided Delay-Tolerant Zero-Forcing Precoding in Cell-Free Massive MIMO

    In: Proceedings of the 2022 IEEE 96th Vehicular Technology Conference. IEEE Vehicular Technology Conference (VTC-2022), IEEE VTC 2022 Fall, September 26-29, London, United Kingdom, IEEE, 9/2022.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Sirko Straube; Nina Hoyer; Niels Will; Frank Kirchner

    The Challenge of Autonomy: What We Can Learn from Research on Robots Designed for Harsh Environments

    In: Uwe Engel (Hrsg.). Robots in Care and Everyday Life. Chapter 4, Pages 57-80, Springer, 10/2022.

  10. Manuela Schuler; Richard Membarth; Philipp Slusallek

    XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments

    In: David Kaeli (Hrsg.). ACM Transactions on Architecture and Code Optimization (TACO), Vol. 20, No. 1, Pages 17:1-17:25, ACM, 12/2022.

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