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Publikationen

Zeige Ergebnisse 101 bis 110 von 576.
  1. Sönke Knoch; Nico Herbig; Shreeraman Ponpathirkoottam; Felix Kosmalla; Philipp Staudt; Peter Fettke; Peter Loos

    Enhancing Process Data in Manual Assembly Workflows

    In: Florian Daniel; Quan Z. Sheng; Hamid Motahari (Hrsg.). Business Process Management Workshops. BPM 2018. International Workshop on Artificial Intelligence for Business Process Management (AI4BPM-2018), located at 16th, September 9-14, Sydney, NSW, Australia, Pages 269-280, Lecture Notes in Business Information Processing (LNBIP), Vol. 342, ISBN 978-3-030-11641-5, Springer, Cham, 1/2019.

  2. Daniel Motta; Alex Álisson Bandeira Santos; Ingrid Winkler; Bruna Aparecida Souza Machado; Daniel André Dias Imperial Pereira; Alexandre Morais Cavalcanti; Eduardo Oyama Lins Fonseca; Frank Kirchner; Roberto Badaró

    Application of convolutional neural networks for classification of adult mosquitoes in the field

    In: Humberto Lanz-Mendoza (Hrsg.). PLoS ONE, Vol. n.n. Pages n.n.-n.n. PLoS - Public Library of Science, 1/2019.

  3. Harshad Dhotre; Stephan Eggersglüß; Rolf Drechsler

    Cluster-based Localization of IR-drop in Test Application considering Parasitic Elements

    In: 20th IEEE Latin American Test Symposium. IEEE Latin American Test Symposium (LATS-2019), March 11-13, Santiago, Chile, 2019.

  4. Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel; Sheraz Ahmed

    KINN: Incorporating Expert Knowledge in Neural Networks

    In: AAAI-MAKE. AAAI Spring Symposium (AAAI SSS-2019), March 25-27, Stanford, CA, USA, AAAI, 3/2019.

  5. Embedded Multimodal Interfaces in Robotics: Applications, Future Trends, and Societal Implications

    In: S. Oviatt; B. Schuller; P. Cohen; D. Sonntag; G. Potamianos; A. Krueger (Hrsg.). The Handbook of Multimodal-Multisensor Interfaces. Chapter 13, Pages 523-576, Vol. 3, ISBN e-book: 978-1-97000-173-0, hardcover: 978-1-97000-175-4, paperback: 978-1-97000-172-3, ePub: 978-1-97000-174-7, Morgan & Claypool Publishers, San Rafael, CA, 2019.

  6. Simple and Robust Automatic Detection and Recognition of Human Movement Patterns in Tasks of Different Complexity

    In: Andreas Holzinger; Alan Pope; Hugo Plácido Silva (Hrsg.). Physiological Computing Systems. Pages 39-57, Springer, 7/2019.

  7. Elsa Andrea Kirchner; Niels Will; Marc Simnofske; Luis Manuel Vaca Benitez; José de Gea Fernández; Peter Kampmann; Frank Kirchner

    Exoskelette und künstliche Intelligenz in der klinischen Rehabilitation

    In: Mario A. Pfannstiel; Patrick Da-Cruz; Harald Mehlich (Hrsg.). Digitale Transformation von Dienstleistungen im Gesundheitswesen V. Chapter 21, Pages 413-435, ISBN 978-3-658-23986-2, Springer Nature, 8/2019.

  8. Transfer approach for the detection of missed task-relevant events in P300-based brain-computer interfaces

    In: Proceedings in the 9th International IEEE EMBS Conference On Neural Engineering (NER’19). International IEEE/EMBS Conference on Neural Engineering (NER-2019), March 20-23, San Francisco, CA, USA, Pages 134-138, IEEE Xplore, 2019.

  9. Desmond U. Patton; Philipp Blandfort; William R. Frey; Michael B. Gaskell; Svebor Karaman

    Annotating Twitter Data from Vulnerable Populations: Evaluating Disagreements Between Domain Experts and Graduate Student Annotators

    In: Proceedings of the 52nd Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2019), 52nd, January 8-11, Grand Wailea, Hawaii, USA, IEEE Computer Society, 2019.

  10. Patrick Lübbecke; Nijat Mehdiyev; Peter Fettke

    Substitution of hazardous chemical substances using Deep Learning and t-SNE

    In: Proceedings der Internationalen Tagung Wirtschaftsinformatik. Internationale Tagung Wirtschaftsinformatik (WI-2019), Human Practice. Digital Ecologies. Our Future. February 24-27, Siegen, Germany, AIS, 2019.