Todas as publicações sorted by journal and type


Publications of type Inproceedings


2020

Zhan Liu, Matthieu Delaloye, Nicole Glassey Balet and 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
attachment
[URL]
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, páginas 1-6, IEEE, 2020
attachment
[DOI]
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, páginas 1758--1761, 2020
attachment
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
attachment

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, páginas 143-166, {Springer International Publishing}, 2019
[DOI]
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, páginas 869-876, SPIE, 2019
attachment
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
attachment
[DOI]
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, páginas 304-319, Springer, 2019
attachment
[DOI]
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
attachment
[DOI]
[URL]
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
[URL]
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
[DOI]
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 !

attachment
[URL]
Gianluca Rizzo, Game Theoretic Optimal User Association in Emergency Networks, in: Ad-Hoc, Mobile, and Wireless Networks, Springer, 2019
attachment
[DOI]
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
attachment
[DOI]
[URL]
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
attachment
[DOI]
[URL]
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
attachment
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
attachment
Vincent Grèzes, Le Valais industriel, statistiques et valeur ajoutée, in: Forum Industrial Futur 2019, Avenir Industrie Valais Wallis, Sion, 2019
[URL]
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
attachment
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
attachment
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
attachment