Skip to main content Skip to main navigation
Eingebettete Intelligenz Headerbild© Adobe Stock

Eingebettete Intelligenz

Publikationen

Seite 4 von 5.

  1. Marimuthu Kalimuthu; Michael Barz; Daniel Sonntag

    Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings

    In: Proceedings of the Fourth Arabic Natural Language Processing Workshop. Arabic Natural Language Processing Workshop (WANLP-2019), 4th, located at …

  2. Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1908.10149, Pages 1-13, arXiv, 8/2019.

  3. Michael Barz; Neslihan Büyükdemircioglu; Rikhu Prasad Surya; Tim Polzehl; Daniel Sonntag

    Device-Type Influence in Crowd-based Natural Language Translation Tasks (short paper)

    In: Lora Aroyo; Anca Dumitrache; Praveen Paritosh; Alexander J. Quinn; Chris Welty; Alessandro Checco; Gianluca Demartini; Ujwal Gadiraju; Cristina …

  4. A categorisation and implementation of digital pen features for behaviour characterisation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1810.03970, Pages 1-42, arXiv, 10/2018.

  5. Visual Search Target Inference Using Bag of Deep Visual Words

    In: Frank Trollmann; Anni-Yasmin Turhan (Hrsg.). KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI. German Conference on …

  6. A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1803.04818, Pages 1-10, arXiv.org, 3/2018.

  7. Medical 3D Images in Multimodal Virtual Reality

    In: IUI Companion. International Conference on Intelligent User Interfaces (IUI), Pages 19:1-19:2, ACM, 2018.

  8. Error-aware Gaze-based Interfaces for Robust Mobile Gaze Interaction

    In: Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications. Symposium on Eye Tracking Research & Applications (ETRA-2018), June …

  9. Daniel Sonntag; Michael Barz; Jan Zacharias; Sven Stauden; Vahid Rahmani; Áron Fóthi; András Lőrincz

    Fine-tuning deep CNN models on specific MS COCO categories

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1709.01476, Pages 0-3, arXiv.org, 9/2017.

Kontakt

Sekretariat:
Shannon Kittrell, B.A.
Tel.: +49 631 20575 4010

Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
Forschungsbereich Eingebettete Intelligenz
Trippstadter Str. 122
67663 Kaiserslautern
Deutschland