All publications

2020
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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[DOI]
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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Valentino Piana, Alperen Bektas and Khoa Nguyen, Temporal morphogenesis (2020), in: Economics Web Institute
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Carlo Aall, Test, 2020
Gaetano Manzo, Test (2020), in: Test
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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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[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, 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
[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, pages 869-876, SPIE, 2019
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Francesca Stival, Stefano Michieletto, Matteo Cognolato, Enrico Pagello, Henning Müller and Manfredo Atzori, A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28
  • []: 2019. (IF=3.865)

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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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