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Thema: Institute of Informatics (II)

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  • 1391 Publikationen (0 read)
  • 2036 Autoren [betrachten]
  • 18 Unterthemen
Publikationen für Thema: Institute of Informatics (II) sortiert nach Zeitschrift und Typ


Publikationen vom Typ Inproceedings


2022

Zhan Liu und Nicole Glassey Balet, Bringing Big Data into Media: A Decision-Making Model for Targeting Digital News Content, in: 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD), Online, Seiten 218-223, IEEE, 2022
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Krešimir Kušić, René Schumann und Edouard Ivanjko, Building a Motorway Digital Twin in SUMO: Real-Time Simulation of Continuous Data Stream from Traffic Counters,, in: Proceedings of the 2022 International Symposium ELMAR, Zadar, Croatia, Seiten 71 -- 76, IEEE, 2022
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Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes und Adrien Depeursinge, Comparison of MR preprocessing strategies and sequences for radiomics-based MGMT prediction, in: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (MICCAI/BrainLes 2021), Cham, Seiten 367–380, Springer International Publishing, 2022
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Florian Evéquoz, Johan Rochel, Vijay Keswani und L. Elisa Celis, Diverse Representation via Computational Participatory Elections - Lessons from a Case Study, in: Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’22), ACM, Arlington, VA, 2022
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Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joel Castelli, John O. Prior und 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), Seiten 4731-4735, 2022
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2021

Davide Calvaresi, Stefan Eggenschwiler, Jean-Paul Calbimonte, Gaetano Manzo und 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, Seiten 682–687, ACM, 2021
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Jean-Paul Calbimonte, Simon Martin, Davide Calvaresi und 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 und René Schumann, A Socio-psychological Approach to Simulate Trust and Reputation in Modal Choices, in: PRIMA 2020: Principles and Practice of Multi-Agent Systems, Seiten 39--54, Springer International Publishing, 2021
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Jerome Treboux, Rolf Ingold und 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, Seiten 1-6, IEEE, 2021
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2020

giovanni ciatto, Davide Calvaresi, Michael Schumacher und 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 und 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), Seiten 19--29, CEUR-WS.org, 2020
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Davide Calvaresi, Jean-Gabriel Piguet, Jean-Paul Calbimonte, Timotheus Kampik, Amro Najjar, Guillame Gadek und 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, Seiten 5-16, Springer, 2020
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Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge und 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 und 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 und 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, Seiten 55-67, 2020
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Francesco Alzetta, Paolo Giorgini, Mauro Marinoni und 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 und 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, Seiten 392-397, Springer, 2020
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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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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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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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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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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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