All publications sorted by journal and type


Publications of type Inproceedings


2020

Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge and Vincent Andrearczyk, Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020, 2020
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Marek Wodzinski and Henning Müller, Learning-Based Affine Registration of Histological Images, in: International Workshop on Biomedical Image Registration, Springer, pages 12--22, 2020
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Henning Müller, Medical Image Retrieval: Applications and Resources, in: International Conference on Multimedia Retrieval, 2020
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Vincent Andrearczyk, Valentin Oreiller and Adrien Depeursinge, Oropharynx Detection in PET-CT for Tumor Segmentation, in: Irish Machine Vision and Image Processing Conference, 2020, 2020
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Davide Calvaresi, Michael Schumacher and Jean-Paul Calbimonte, Personal Data Privacy Semantics in Multi-Agent Systems Interactions, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, Aquila, Italy, pages 55-67, 2020
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Francesco Alzetta, Paolo Giorgini, Mauro Marinoni and Davide Calvaresi, RT-BDI: A Real-Time BDI model, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2020
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Davide Calvaresi, Giuseppe Albanese, Jean-Paul Calbimonte and Michael Schumacher, SEAMLESS: Simulation and Analysis for Multi-Agent System in Time-Constrained Environments, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, Aquila, Italy, pages 392-397, Springer, 2020
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Jean-Paul Calbimonte, Simon Martin, Davide Calvaresi, Nancy Zappellaz, Roger Hilfiker and Alexandre Cotting, Semantic Data Models for Hiking Trail Difficulty Assessment, in: ENTER Information and Communication Technologies in Tourism, pages 295-306, Springer, 2020
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Carlo Aall, Test, 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
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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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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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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
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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, pages 15-26, Proceedings of Machine Learning Research, 2019
  • []: Won the overall best paper award of MIDL 2019 !

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