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Publications

 

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Displaying results 301 to 310 of 514.
  1. Redy Andriyansah; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Using Balanced Training to Minimize Biased Classification

    In: HIP '19: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing. International Workshop on Historical …

  2. Mohammad Mohsin Reza; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Table Localization and Segmentation using GAN and CNN

    In: 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). International Conference on Document Analysis and …

  3. Kumar Shridhar; Joonho Lee; Hideaki Hayashi; Purvanshi Mehta; Brian Kenji Iwana; Seokjun Kang; Seiichi Uchida; Sheraz Ahmed; Andreas Dengel

    ProbAct: A Probabilistic Activation Functionfor Deep Neural Networks

    In: OPT2020: 12th Annual Workshop on Optimization for Machine Learning. Workshop on Optimization for Machine Learning (OPT-2020), located at …

  4. Some Shades of Grey!: Interpretability and Explainability of Deep Neural Networks

    In: Proceedings WCRML19. ACM Workshop on Crossmodal Learning and Application, Ottawa, Canada, ISBN 978-1-4503-6780-6, Association for Computing …

  5. Marcel Heinz; Jakob Michael Schönborn; Klaus-Dieter Althoff

    Development and Implementation of a Case-Based Reasoning Approach to Speed-Up Deep Reinforcement Learning through Case-Injection for AI Gameplay

    In: Daniel Trabold; Pascal Welke; Nico Piatkowski (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" …

  6. Julius Hülsmann; Jonas Traub; Volker Markl

    Demand-based sensor data gathering with multi-query optimization

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 12, Pages 2801-2804, VLDB Endowment, 2020.

  7. Jakob M. Schönborn; Klaus-Dieter Althoff

    Recent Trends in XAI: A Broad Overview on current Approaches, Methodologies and Interactions

    In: Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning: Explainable Knowledge in Computational Design, …

  8. Merton Lansley; Nikolaos Polatidis; Stelios Kapetanakis; Kareem Amin; George Samakovitis; Miltos Petridis

    Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning

    In: Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning: Case-based reasoning and deep learning workshop. …

  9. Kareem Amin; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel; Miltos Petridis

    Cases without borders: Automating Knowledge Acquisition Approach using Deep Autoencoders and Siamese Networks in Case-based Reasoning

    In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence. International Conference on Tools with Artificial Intelligence …

  10. Rajarshi Biswas; Michael Barz; Daniel Sonntag

    Towards Explanatory Interactive Image Captioning Using Top-Down and Bottom-Up Features, Beam Search and Re-ranking

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für …