Skip to main content Skip to main navigation

Publications

Displaying results 301 to 310 of 682.
  1. Parham Zolfaghari; Vitor Fortes Rey; Lala Ray; Hyun Kim; Sungho Suh; Paul Lukowicz

    Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition

    In: 2024 International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC-2024), Pages 1-8, IEEE, 2024.

  2. Hyungmin Kim; Donghun Kim; Pyunghwan Ahn; Sungho Suh; Hansang Cho; Junmo Kim

    ContextMix: A context-aware data augmentation method for industrial visual inspection systems

    In: International Journal Engineering Applications of Artificial Intelligence (EAAI), Vol. 131, Page 107842, Elsevier, 2024.

  3. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D’Eramo (Hrsg.)

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2024), 17th European Workshop on Reinforcement Learning, European Workshop on Reinforcement Learning, 2024.

  4. On Object Detection and Explainability with Sonar Imagery

    In: 2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA-2024), May 19-21, Tripoli, Libyan Arab Jamahiriya, Pages 1-8, ISBN 979-8-3503-7263-2, IEEE Xplore, New Jersey, 7/2024.

  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. 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. 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. 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.