Educational Technology Lab

Seite 17 von 26.

1. Michael Barz; Omair Shahzad Bhatti; Bengt Lüers; Alexander Prange; Daniel Sonntag

   Multisensor-Pipeline: A Lightweight, Flexible, and Extensible Framework for Building Multimodal-Multisensor Interfaces

   In: Companion Publication of the 2021 International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI-2021), October 18-22, Montréal, QC, Canada, Pages 13-18, ISBN 9781450384711, Association for Computing Machinery, New York, NY, USA, 2021.

2. Fabrizio Nunnari; Abraham Ezema; Daniel Sonntag

   Crop It, but Not Too Much: The Effects of Masking on the Classification of Melanoma Images

   In: Stefan Edelkamp; Ralf Möller; Elmar Rueckert (Hrsg.). KI 2021: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2021), September 27 - October 1, Germany, Pages 179-193, ISBN 978-3-030-87626-5, Springer International Publishing, 2021.

3. Michael Barz; Daniel Sonntag

   Automatic Visual Attention Detection for Mobile Eye Tracking Using Pre-Trained Computer Vision Models and Human Gaze

   In: Sensors - Open Access Journal (Sensors), Vol. 21, No. 12, Page 21, MDPI, 2021.

4. Fabrizio Nunnari; Abraham Ezema; Daniel Sonntag

   The effects of masking in melanoma image classification with CNNs towards international standards for image preprocessing

   In: 2020 EAI International Symposium on Medical Artificial Intelligence. EAI International Symposium on Medical Artificial Intelligence (MedAI-2020), December 18, Online-Conference, EAI, 12/2020.

5. Ho Minh Duy Nguyen; Abraham Ezema; Fabrizio Nunnari; Daniel Sonntag

   A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net

   In: KI 2020: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2020), 43rd, September 21-25, Bamberg, Germany, Pages 313-319, Lecture Notes in Computer Science (LNCS), Vol. 12325, Springer, 9/2020.

6. Michael Barz; Kristin Altmeyer; Sarah Malone; Luisa Lauer; Daniel Sonntag

   Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests

   In: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2020), July 12-18, Genoa, Italy, ACM, 7/2020.

7. 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 Informatik e.V. (KI), Vol. 36, Pages 1-14, Springer, 7/2020.

8. Michael Barz; Sven Stauden; Daniel Sonntag

   Visual Search Target Inference in Natural Interaction Settings with Machine Learning

   In: Andreas Bulling; Anke Huckauf; Eakta Jain; Ralph Radach; Daniel Weiskopf (Hrsg.). ACM Symposium on Eye Tracking Research and Applications. Symposium on Eye Tracking Research & Applications (ETRA-2020), Stuttgart, Germany, Association for Computing Machinery, New York, NY, USA, 5/2020.

9. Daniel Sonntag; Fabrizio Nunnari; Hans-Jürgen Profitlich

   The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions.

   Technical Report, BMBF, H2020, DFKI Research Reports (RR), Vol. 1, 5/2020.

10. Daniel Sonntag

    Künstliche Intelligenz gegen das Coronavirus

    DFKI, BMBF, BMG, DFKI Technical Memos (TM), Vol. 1, 2020.

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