Publications

Roberto V. Zicari; Sheraz Ahmed; Julia Amann; Stephan Alexander Braun; John Brodersen; Frédérick Bruneault; James Brusseau; Erik Campano; Megan Coffee; Andreas Dengel; Boris Düdder; Alessio Gallucci; Thomas Krendl Gilbert; Philippe Gottfrois; Emmanuel Goffi; Christoffer Bjerre Haase; Thilo Hagendorff; Eleanore Hickman; Elisabeth Hildt; Sune Holm; Pedro Kringen; Ulrich Kühne; Adriano Lucieri; Vince I. Madai; Pedro A. Moreno-Sánchez; Oriana Medlicott; Matiss Ozols; Eberhard Schnebel; Andy Spezzatti; Jesmin Jahan Tithi; Steven Umbrello; Dennis Vetter; Holger Volland; Magnus Westerlund; Renee Wurth

Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

In: Remo Pareschi (Hrsg.). Frontiers in Human Dynamics, Vol. 3, Pages 1-40, Frontiers Media S.A. Lausanne, 7/2021.

Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis

In: ArXiv e-prints (arxiv), Vol. 1, Pages 1-29, arXiv, 3/2021.

Dominique Mercier; Adriano Lucieri; Mohsin Munir; Andreas Dengel; Sheraz Ahmed

Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification

In: IEEE Transactions on Industrial Informatics, Vol. 18, No. 11, Pages 7834-7842, IEEE, 11/2021.

Shyam Chanduri; Zeeshan Khan Suri; Igor Vozniak; Christian Müller

CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters

In: British Machine Vision Conference. British Machine Vision Conference (BMVC-2021), The British Machine Vision Association and Society for Pattern Recognition, November 22-25, Online, The British Machine Vision Association, 2021.

Vitor Fortes Rey; Kamalveer Kaur Garewal; Paul Lukowicz

Translating Videos into Synthetic Training Data for Wearable Sensor-Based Activity Recognition Systems Using Residual Deep Convolutional Networks.

In: Applied Sciences, Vol. 11, No. 7, Pages 1-31, MDPI, 2021.

Adriano Lucieri; Muhammad Naseer Bajwa; Andreas Dengel; Sheraz Ahmed

Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems

In: ArXiv e-prints (arxiv), Vol. 1, Pages 1-17, 11/2020.

Kumail Raza; René Schuster; Didier Stricker

Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching

In: Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2021), November 30, Ingolstadt, Germany, ACM, 2021.

Viktor Eisenstadt; Hardik Arora; Christoph Ziegler; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture

In: V. Stojakovic; B. Tepavcevic (Hrsg.). Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 45-54, CUMINCAD, 2021.

Hardik Arora; Jessica Bielski; Viktor Eisenstadt; Christoph Langenhan; Christoph Ziegler; Klaus-Dieter Althoff; Andreas Dengel

Consistency Checker – An automatic constraint-based evaluator for housing spatial configurations

In: V. Stojakovic; B. Tepavcevic (Hrsg.). Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, CUMINCAD, 2021.

Marja Fleitmann; Hristina Uzunova; Andreas Martin Stroth; Jan Gerlach; Alexander Fürschke; Jörg Barkhausen; Arpad Bischof; Heinz Handels

Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization

In: Juan Ye; Michael J. O'Grady; Gabriele Civitarese; Kristina Yordanova (Hrsg.). Proceedings of the 10th EAI International Conference on Wireless Mobile Communication and Healthcare. International Conference on Wireless Mobile Communication and Healthcare (MobiHealth-2021), November 13-14, Chongqing/Virtual, China, Pages 315-322, ISBN 978-3-030-70569-5, Springer International Publishing, 2021.