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Topic: Institute of Informatics (II)

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  • 1381 publications (0 read)
  • 2013 authors [view]
  • 18 Subtopics
Publications for topic "Institute of Informatics (II)" sorted by journal and type


Publications of type Inproceedings


2022

Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joel Castelli, John O. Prior and Adrien Depeursinge, Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT, in: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 4731-4735, 2022
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2021

Davide Calvaresi, Stefan Eggenschwiler, Jean-Paul Calbimonte, Gaetano Manzo and Michael Schumacher, A personalized agent-based chatbot for nutritional coaching, in: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Melbourne, VIC, Australia, pages 682–687, ACM, 2021
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Jean-Paul Calbimonte, Simon Martin, Davide Calvaresi and Alexandre Cotting, A Platform for Difficulty Assessment and Recommendation of Hiking Trails, in: Information and Communication Technologies in Tourism (ENTER 2021), 2021
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Khoa Nguyen and René Schumann, A Socio-psychological Approach to Simulate Trust and Reputation in Modal Choices, in: PRIMA 2020: Principles and Practice of Multi-Agent Systems, pages 39--54, Springer International Publishing, 2021
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Jerome Treboux, Rolf Ingold and Dominique Genoud, Improved Line Detection in Images using Neural Networks and DTE Subclassifiers, in: 2021 9th European Workshop on Visual Information Processing (EUVIP), IEEE, Paris, France, pages 1-6, IEEE, 2021
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2020

giovanni ciatto, Davide Calvaresi, Michael Schumacher and Andrea Omicini, An Abstract Framework for Agent-Based Explanations in AI, in: Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems 2020, 2020
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Jean-Paul Calbimonte, Davide Calvaresi and Michael Schumacher, Decentralized Management of Patient Profiles and Trajectories through Semantic Web Agents, in: Proceedings of the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), pages 19--29, CEUR-WS.org, 2020
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Davide Calvaresi, Jean-Gabriel Piguet, Jean-Paul Calbimonte, Timotheus Kampik, Amro Najjar, Guillame Gadek and Michael Schumacher, Ethical Concerns and Opportunities in Binding Intelligent Systems and Blockchain Technology, in: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness, The PAAMS Collection, pages 5-16, Springer, 2020
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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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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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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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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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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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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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Jerome Treboux and Dominique Genoud, High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, pages 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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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, pages 109-116, SPIE, 2019
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Michael Barry and René Schumann, Strategies for Runtime Prediction and Mathematical Solvers Tuning, in: Proceedings of the 11th International Conference on Agents and Artificial Intelligence (ICAART 2019), 2019
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Riccardo Tommasini, Davide Calvaresi and Jean-Paul Calbimonte, Stream Reasoning Agents, in: Proceeding of International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2019), 2019
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Jean-Paul Calbimonte, Davide Calvaresi, Fabien Dubosson and Michael Schumacher, Towards Profile and Domain Modelling in Agent-based Applications for Behavior Change, in: Proc of the 17th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), pages 16-28, Springer Verlag, 2019
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