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All publications

2019
Mara Graziani, Henning Müller and Vincent Andrearczyk, Interpreting intentionally flawed models with linear probes, in: ICCV workshop on statistical deep learning in computer vision, Seoul, Korea, 2019
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Emmanuel Fragnière, Randolf Ramseyer, Roland Schegg, Nicolas Délétroz, Sandra Grèzes and Michael Schumacher, Issues of the integrated development of tourist destinations on the basis of the blockchain : a qualitative survey carried out in Switzerland, in: Proceedings of the 2nd International Conference on Digital, Innovation, Entrepreneurship and Financing (DIF‘2019) conference, Valencia, 2019
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Vincent Grèzes, Le Valais industriel, statistiques et valeur ajoutée, in: Forum Industrial Futur 2019, Avenir Industrie Valais Wallis, Sion, 2019
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Vincent Andrearczyk, Adrien Depeursinge and Henning Müller, Learning Cross-Protocol Radiomics and Deep Feature Standardization from CT Images of Texture Phantoms, in: SPIE Medical Imaging 2019, International Society for Optics and Photonics, pages 109-116, SPIE, 2019
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Henning Müller and Devrim Unay, Medical Decision Support Using Increasingly Large Multimodal Data Sets, chapter Medical Decision Support Using Increasingly Large Multimodal Data Sets, Wiley and Sons, 2019
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Paweł J Matusz, Mark T Wallace and Micah M Murray, Multisensory Perception: From Laboratory to Clinic, chapter Multisensory contributions to object recognition and memory across the lifespan., Elsevier Academic Press, 2019
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Hanane Lamaazi, Nabil Benamar, Adnan El Ahmadi and Antonio J Jara, OF-ECF: A New Optimization of the Objective Function for Parent Selection in RPL, in: IEEE 2019 Twelfth International Workshop on Selected Topics in Mobile and Wireless Computing, pages 6, IEEE, 2019
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Obioma Pelka, Christoph M Friedrich, Alba García Seco de Herrera and Henning Müller, Overview of the ImageCLEFmed 2019 concept prediction task, in: CLEF2019 Working Notes. CEUR Workshop Proceedings, CEUR-WS. org, Lugano, Switzerland (September 09-12 2019), 2019
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Manfredo Atzori and Henning Müller, Parallel feature extraction tools to speed up feature extraction (2019), in: Frontiers in Neurorobotics
  • []: (IF 2017= 3.000)

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Himanshu Verma, Guillaume Pythoud, Grace Eden, Denis Lalanne and Florian Evéquoz, Pedestrians and Visual Signs of Intent: Towards Expressive Autonomous Passenger Shuttles (2019), in: Proceedings of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), 3:3(31)
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Anne-Dominique Salamin and Christophe Hadorn, Rote memorization in VR environments, University of Applied Sciences (HES-SO) , Switzerland, 2019
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Gianluca Rizzo, Routing in Post-Disaster Scenarios, chapter 3.9, Elsevier, 2019
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Jean-Paul Calbimonte, Fabien Dubosson, Ilia Kebets, Pierre-Mikael Legris and Michael Schumacher, Semi-automatic Semantic Enrichment of Personal Data Streams, in: Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems (SEMANTiCS 2019), CEUR-WS.org, 2019
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Sebastian Otalora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan and Henning Müller, Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology (2019), in: Frontiers in Bioengineering and Biotechnology-Bioinformatics and Computational Biology
  • []: (IF 2017= 5.122)

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Michael Barry and René Schumann, Strategies for Runtime Prediction and Mathematical Solvers Tuning, in: Proceedings of the 11th International Conference on Agents and Artificial Intelligence (ICAART 2019), 2019
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Riccardo Tommasini, Davide Calvaresi and Jean-Paul Calbimonte, Stream Reasoning Agents, in: Proceeding of International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2019), 2019
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Eric Sanchez, Elsa Paukovics, Sylvia Müller, Nicolas Kramar and Antoine Widmer, Students' Conducts During a Digital Game-Based Museum School Visit, in: IFIP Advances in Information and Communication Technology, pages 151--160, 2019
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Carlo Aall and David Wannier, Test (2019), in: Test
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Anaïs Badoual, Michael Unser and Adrien Depeursinge, Texture-Driven Parametric Snakes for Semi-Automatic Image Segmentation (2019), in: Computer Vision and Image Understanding, 188(102793)

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