Todas as publicações

2019
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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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, páginas 109-116, SPIE, 2019
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Henning Müller and Devrim Unay, Medical Decision Support Using Increasingly Large Multimodal Data Sets, capítulo 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, capítulo 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, páginas 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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