Todas as publicações

2019
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}}, páginas LBW0126:1--LBW0126:6, {ACM}, 2019
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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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Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet and Adrien Depeursinge, Exploring local rotation invariance in 3D CNNs with steerable filters, in: Medical Imaging with Deep Learning, páginas 15-26, Proceedings of Machine Learning Research, 2019
  • []: Won the overall best paper award of MIDL 2019 !

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Gianluca Rizzo, Game Theoretic Optimal User Association in Emergency Networks, in: Ad-Hoc, Mobile, and Wireless Networks, Springer, 2019
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Jerome Treboux and Dominique Genoud, High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, páginas 103-108, IEEE 2019 6th Swiss Conference on Data Science (SDS), 2019
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Alevtina Dubovitskaya, Petr Novotny, Scott Thiebes, Ali Sunyaev, Michael Schumacher, Zhigang Xu and Fusheng Wang, Intelligent Healthcare Data Management using Blockchain: Current Limitation and Future Research Agenda, in: Proceedings of the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare, worshop of the 45th International Conference on Very Large Data Bases (VLDB 2019), Springer, 2019
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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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