Alle Publikationen sortiert nach Zeitschrift und Typ


Publikationen vom Typ Inproceedings


2020

Jean-Paul Calbimonte, Simon Martin, Davide Calvaresi, Nancy Zappellaz, Roger Hilfiker und Alexandre Cotting, Semantic Data Models for Hiking Trail Difficulty Assessment, in: ENTER Information and Communication Technologies in Tourism, Seiten 295-306, Springer, 2020
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Carlo Aall, Test, 2020
Zhan Liu, Matthieu Delaloye, Nicole Glassey Balet und Laurent Sciboz, The Impact of Labelling Journalistic Content on Readership, in: Proceedings of the 12th Conference of New European Media Summit Initiative, New European Media, Dublin, Ireland (Online), 2020
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Jerome Treboux, Rolf Ingold und 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, Seiten 1-6, IEEE, 2020
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Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid und 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, Seiten 1758--1761, 2020
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Marek Wodzinski und 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 und Denis Lalanne, A Descriptive Attribute-Based Framework for Annotations in Data Visualization, in: Computer Vision, Imaging and Computer Graphics Theory and Applications, Seiten 143-166, {Springer International Publishing}, 2019
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Guillaume Vanoost, Yashin Dicente Cid, Daniel L. Rubin und 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, Seiten 869-876, SPIE, 2019
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Davide Calvaresi, Ekaterina Voronova, Jean-Paul Calbimonte, Valerio Mattioli und 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 und 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, Seiten 304-319, Springer, 2019
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Linda Cappellato, Nicola Ferro, David Losada und Henning Müller, CLEF 2019 Working Notes, in: CEUR Workshop Proceedings (CEUR- WS.org), 2019
Alex Carmine Olivieri, Shaban Shabani, Sokhn Maria und 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 und 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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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 und Denis Lalanne, Engaging Pedestrians in Designing Interactions with Autonomous Vehicles, in: Extended {{Abstracts}} of the 2019 {{CHI Conference}} on {{Human Factors}} in {{Computing Systems}}, Seiten LBW0126:1--LBW0126:6, {ACM}, 2019
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Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet und Adrien Depeursinge, Exploring local rotation invariance in 3D CNNs with steerable filters, in: Medical Imaging with Deep Learning, Seiten 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 und Dominique Genoud, High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, Seiten 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 und 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 und 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 und 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 und 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, Seiten 109-116, SPIE, 2019
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Hanane Lamaazi, Nabil Benamar, Adnan El Ahmadi und 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, Seiten 6, IEEE, 2019
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