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Thema: Institute of Informatics (II)

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  • 1349 Publikationen (0 read)
  • 1869 Autoren [betrachten]
  • 18 Unterthemen
Publikationen für Thema: Institute of Informatics (II) sortiert nach Aktualität

Alevtina Dubovitskaya, Petr Novotny, Scott Thiebes, Ali Sunyaev, Michael Schumacher, Zhigang Xu und 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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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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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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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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Jean-Paul Calbimonte, Davide Calvaresi, Fabien Dubosson und 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), Seiten 16-28, Springer Verlag, 2019
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Michael Barry und 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 und 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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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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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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Valentino Piana, Green Mobility, Kapitel La sfida di Share'ngo, Edizioni Ambiente, 2018
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Valentino Piana, Green Mobility, Kapitel National scenarios of accelerated decarbonization of mobility and transport, Edizioni Ambiente, 2018
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Aldo Franco Dragoni, Paolo Sernani und Davide Calvaresi, When Rationality Entered Time and Became a Rational Agent in a Cyber Society, in: In proceedings of 3rd International Conference on 'Recent Trends and Applications in Computer Science and Information Technology', Tirana, 2018
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Timotheus Kampik, Amro Najjar und Davide Calvaresi, MAS-aided Approval for Bypassing Decentralized Processes: an Architecture (2018), in: Proceedings of the 2018 International Conference on Web Intelligence
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Riccardo Tommasini, Yehia Abo Sedira, Daniele Dell'Aglio, Marco Balduini, Muhammad Intizar Ali, Danh Le Phuoc, Emanuele Della Valle und Jean-Paul Calbimonte, VoCaLS: Describing Streams on the Web, in: Proc. of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), CEUR-WS, 2018
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Mariam Barque, Simon Martin, Jérémie Etienne Norbert Vianin, Dominique Genoud und David Wannier, Improving wind power prediction with retraining machine learning algorithms, 2018 International Workshop on Big Data and Information Security (IWBIS), Jakarta, Indonesia, Indonesia, Seiten 43-48, IEEE, 2018
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Stefan Eggenschwiler, Michael Barry und René Schumann, Exploring effects of parameter configuration on runtime, using mathematical solvers, in: Proceedings of the 31. Workshop "Planen, Scheduling und Konfigurieren, Entwerfen" (PuK 2018), 2018
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Michael Barry, Hubert Abgottspon und René Schumann, Solver Tuning and Model Configuration, in: Proceedings of the 41st German Conference on Artificial Intelligence (KI 2018), Berlin, Seiten 141 -- 154, Springer, Cham, 2018
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Zhan Liu, Sokhn Maria, Nicole Glassey Balet und Fabian Cretton, The impact of digital social media on tourism: a Case Study of experiences of Chinese visitors in Switzerland, in: Ré-invention des territoires touristiques: entre attentes des consommateurs, adaptation de l’offre et nouvelles formes de résidentialité, Université de Lausanne (UNIL), Sion, Switzerland, 2018
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Jerome Treboux und Dominique Genoud, Improved Machine Learning Methodology for High Precision Agriculture, Bilbao, Spain, Inproceedings of the 2018 Global Internet of Things Summit (GIoTS), 2018
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Ruanda Qamili, Shaban Shabani und Johannes Schneider, An Intelligent Framework for Issue Ticketing System based on Machine Learning, in: 2018 IEEE 22nd International Enterprise Distributed Object Computing Workshop (EDOCW), Stockholm, Sweden, IEEE, 2018
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
Shaban Shabani, Zhan Liu und Sokhn Maria, Semantic Network Visualization of Cultural Heritage Data, in: 1st International Workshop on Knowledge Graphs on Travel and Tourism at the 18th International Conference on Web Engineering (ICWE 2018), Cáceres, Spain, Springer, 2018
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