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Publications

Displaying results 311 to 320 of 676.

  1. Peter Adolphs; Feiyu Xu; Hans Uszkoreit; Hong Li

    Dependency Graphs as a Generic Interface between Parsers and Relation Extraction Rule Learning

    In: Proceedings of the 34th Annual German Conference on Artificial Intelligence. German Conference on Artificial Intelligence (KI-2011), 34th, October 4-7, Berlin, Germany, Springer, 10/2011.

  2. Rui Wang; Yi Zhang

    MARS: A Specialized RTE System for Parser Evaluation

    In: Proceedings of the SemEval-2010 Evaluation Exercises on Semantic Evaluation. International Workshop on Semantic Evaluation (SemEval-2010), Evaluation Exercises on Semantic Evaluation, located at ACL 2010, July 15-16, Uppsala, Sweden, Association for Computational Linguistics, 7/2010.

  3. Daan Wierstra; Alexander Förster; Jan Peters; Jürgen Schmidhuber

    Solving Deep Memory POMDPs with Recurrent Policy Gradients

    In: Joaquim Marques de Sá; Luís A. Alexandre; Wlodzislaw Duch; Danilo P. Mandic (Hrsg.). Artificial Neural Networks - ICANN 2007, 17th International Conference, Proceedings. International Conference on Artificial Neural Networks (ICANN-2007), September 9-13, Porto, Portugal, Pages 697-706, Lecture Notes in Computer Science, Vol. 4668, Springer, 2007.

  4. Jason Raphael Rambach; Bruno Mirbach; Yuriy Anisimov; Didier Stricker

    Time-of-Flight Depth Sensing for Automotive Safety and Smart Building Applications: The VIZTA Project

    In: IEEE Access (IEEE), Vol. 11, Pages 105819-105829, IEEE, 10/2023.

  5. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13453, Pages 0-10, arXiv, 2023.

  6. Andreas Winter; Boris Brandherm; Michael Igel; Peter Schegner

    Klassische Stromnetzberechnung in Kombination mit künstlicher Intelligenz zur Analyse und Diagnose von Stromverteilnetzen

    In: VDE FNN / ETG Tutorial Schutz- und Leittechnik. VDE FNN / ETG Tutorial Schutz- und Leittechnik, VDE Verlag GmbH, 2/2022.

  7. Abdul Rafey Aftab; Michael von der Beeck; Steven Rohrhirsch; Benoit Diotte; Michael Feld

    Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects

    In: IEEE (Hrsg.). 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE Intelligent Vehicles Symposium (IV-2021), 32th Intelligent Vehicles Symposium, located at IV21, July 11-17, Nagoya, Japan, Pages 1108-1115, ISBN 978-1-7281-5394-0, IEEE, 11/2021.

  8. Pierre Gutierrez; Maria Luschkova; Antoine Cordier; Mustafa Shukor; Mona Schappert; Tim Dahmen

    Synthetic training data generation for deep learning based quality inspection

    Quality Control by Artificial Vision 2021, 2021.

  9. Ioannis Prapas; Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Volker Markl

    Continuous Training and Deployment of Deep Learning Models

    In: Datenbank-Spektrum (Spektrum), Vol. 21, No. 3, Pages 203-212, Springer, 2021.

  10. Navya Prakash; Frederic Theodor Stahl; Charles Lennart Müller; Oliver Ferdinand; Oliver Zielinski

    Intelligent Marine Pollution Analysis on Spectral Data

    In: OCEANS 2021 San Diego - Porto Online Proceedings. OCEANS MTS/IEEE Conference (OCEANS-2021), September 20-23, Online, Porto, Portugal, Pages 1-6, No. 21623225, ISBN 978-0-692-93559-0, IEEE Xplore Digital Library, Piscataway Township, New Jersey, 2/2022.

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