All publications

2020
Jerome Treboux, Rolf Ingold and Dominique Genoud, Towards Retraining of Machine Learning Algorithms: An Efficiency Analysis Applied to Smart Agriculture, in: 2020 Global Internet of Things Summit (GIoTS), Dublin, Ireland, pages 1-6, IEEE, 2020
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Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid and Henning Müller, Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, pages 1758--1761, 2020
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Marek Wodzinski and Henning Müller, Unsupervised Learning-based non-rigid registration of high resolution histology images, in: MICCAI workshop on Machine Learning in Medical Imaging, Springer, 2020
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2019
Pierre Vanhulst, Florian Evéquoz, Raphaël Tuor and Denis Lalanne, A Descriptive Attribute-Based Framework for Annotations in Data Visualization, in: Computer Vision, Imaging and Computer Graphics Theory and Applications, pages 143-166, {Springer International Publishing}, 2019
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Guillaume Vanoost, Yashin Dicente Cid, Daniel L. Rubin and Adrien Depeursinge, A lung graph model for the classification of interstitial lung disease on CT images, in: SPIE Medical Imaging 2019: Computer-Aided Diagnosis, International Society for Optics and Photonics, pages 869-876, SPIE, 2019
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Francesca Stival, Stefano Michieletto, Matteo Cognolato, Enrico Pagello, Henning Müller and Manfredo Atzori, A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28
  • []: 2019. (IF=3.865)

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Davide Calvaresi, Ekaterina Voronova, Jean-Paul Calbimonte, Valerio Mattioli and Michael Schumacher, A Startup Assessment Approach based on Multi-Agent and Blockchain Technologies, in: Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS, 2019
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Manh Nguyen Duc, Anh Le Tuan, Jean-Paul Calbimonte, Manfred Hauswirth and Danh Le Phuoc, Autonomous RDF Stream Processing for IoT Edge Devices, in: Proc. of the 9th Joint International Semantic Technology Conference JIST 2019, Hangzhou, China, pages 304-319, Springer, 2019
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Linda Cappellato, Nicola Ferro, David Losada and Henning Müller, CLEF 2019 Working Notes, in: CEUR Workshop Proceedings (CEUR- WS.org), 2019
Alex Carmine Olivieri, Shaban Shabani, Sokhn Maria and Cudré-Mauroux Philippe, Creating Task-Generic Features for Fake News Detection, in: Proceedings of the 53nd Annual Hawaii International Conference on System Sciences (HICSS 2019), Maui, USA, 2019
Zhan Liu, Shaban Shabani, Nicole Glassey Balet and Sokhn Maria, Detection of Satiric News on Social Media: Analysis of the Phenomenon with a French Dataset, in: The 28th International Conference on Computer Communications and Networks (ICCCN 2019), Valencia, Spain, IEEE, 2019
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Anne-Dominique Salamin and Nicole Glassey Balet, Digital Native Students’ learning expectations in Higher Education, University of Applied Sciences (HES-SO), Switzerland, HES-SO Valais-Wallis, Sierre, Switzerland, 2019
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Valentino Piana, Sylvain Weber, Alperen Bektas and René Schumann, Electric vehicle customers in Switzerland, Poster presented at SCCER Mobility Annual Conference., 2019
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Vincent Grèzes, Elements de réflexion pour une vision industrielle valaisanne à l'horizon 2030, in: Forum Industrial Future 2019, Avenir Industrie Valais Wallis, Sion, 2019
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Himanshu Verma, Florian Evéquoz, Guillaume Pythoud, Grace Eden and Denis Lalanne, Engaging Pedestrians in Designing Interactions with Autonomous Vehicles, in: Extended {{Abstracts}} of the 2019 {{CHI Conference}} on {{Human Factors}} in {{Computing Systems}}, pages LBW0126:1--LBW0126:6, {ACM}, 2019
[DOI]
Himanshu Verma, Florian Evéquoz, Guillaume Pythoud, Grace Eden and Denis Lalanne, Engaging Pedestrians in Designing Interactions with Autonomous Vehicles (2019), in: In Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems(126:1--126:6)
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