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Jahr: 2019
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  1. Christoph Tholen; Tarek Elmihoub; Jan Dierks; Lars Nolle; Alexandra Burger; Oliver Zielinski

    Automated Tuning Of A Cellular Automata Using Parallel Asynchronous Particle Swarm Optimisation

    In: Mauro Iacono; Francesco Palmieri; Marco Gribaudo; Massimo Ficco (Hrsg.). Proceedings of the 33rd International ECMS Conference on Modelling and Simulation. European Conference on Modelling and Simulation (ECMS-2019), 33rd, June 11-14, Caserta, Italy, ISBN 978-3-937436-65-4, European Council for Modelling and Simulation, 2019.

  2. Jana-Rebecca Rehse

    Leveraging Artificial Intelligence for Business Process Management - A Contribution to Reference Model Mining, Predictive Process Monitoring and Process Discovery

    PhD-Thesis, Universität des Saarlandes, 2019.

  3. Rajarshi Biswas; Aditya Mogadala; Michael Barz; Daniel Sonntag; Dietrich Klakow

    Automatic Judgement of Neural Network-Generated Image Captions

    In: Carlos Martin-Vide; Matthew Purver; Senja Pollak (Hrsg.). Statistical Language and Speech Processing - 7th International Conference, Proceedings. International Conference on Statistical Language and Speech Processing (SLSP-2019), 7th, located at SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. October 14-16, Ljubljana, Slovenia, Pages 261-272, Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence (LNCS), Vol. 11816, ISBN 978-3-030-31372-2, Springer, Heidelberg, 9/2019.

  4. Marco Barenkamp; Jan Schoenke; Novica Zarvic; Oliver Thomas

    IoT Best Practices - Fallstricke bei der Realisierung von (Industrial) Internet of Things (IIoT)-Projekten frühzeitig erkennen und adressieren

    In: HMD - Praxis der Wirtschaftsinformatik (HMD), Vol. 56, No. 6, Pages 1157-1177, Springer Fachmedien, Wiesbaden, 12/2019.

  5. René Schuster; Oliver Wasenmüller; Christian Unger; Didier Stricker

    SDC - Stacked Dilated Convolutions

    In: Computer Science in Cars Sympoisum. ACM Computer Science in Cars Symposium (CSCS-2019), October 8, Kaiserslautern, Germany, ACM, 10/2019.

  6. Dominik Stammbach; Günter Neumann

    Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task

    In: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER). Workshop on Fact Extraction and Verification (FEVER-2019), located at EMNLP-IJCNLP 2019, November 3, Hong Kong, China, Pages 105-109, Association for Computational Linguistics, 11/2019.

  7. Felix Neutatz; Mohammad Mahdavi; Ziawasch Abedjan

    ED2: A Case for Active Learning in Error Detection

    In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management. ACM International Conference on Information and Knowledge Management (CIKM-2019), 28th, November 3-7, Beijing, China, Pages 2249-2252, CIKM '19, ISBN 978-1-4503-6976-3, ACM, 2019.

  8. Benjamin Bischke; Patrick Helber; Simon Brugman; Erkan Basar; Zhengyu Zhao; Martha Larson; Konstantin Pogorelov

    The Multimedia Satellite Task at MediaEval 2019

    In: Working Notes Proceedings of the MediaEval 2019. MediaEval Benchmark (MediaEval-2019), October 27-29, Sophia Antipolis (Biot), France, 2019.

  9. Alexandra König; Hali Lindsay; Johannes Troger; Inez H.G.B. Ramakers (Hrsg.)

    The use of artificial intelligence and automatic speech and image analysis for remote cognitive testing

    Alzheimer Europe Conference (AEC-2019), October 23-25, The Hague, Netherlands, Alzheimer Europe Conference, 10/2019.

  10. Eva Martínez Garcia; Carles Creus; Cristina España-Bonet

    Context-Aware Neural Machine Translation Decoding

    In: Fourth Workshop on Discourse in Machine Translation. Discourse in Machine Translation (DiscoMT-2019), located at EMNLP-IJCNLP 2019, November 3, Hong Kong, China, Pages 13-23, ACL, 11/2019.

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