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Thema: Institute of Informatics (II)
Publikationen für Thema: Institute of Informatics (II) nach Titel sortiert
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1381 |
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| und , Hierarchical multi-structure segmentation guided by anatomical correlations, in: Proceedings of the VISCERAL Challenge at ISBI, Beijing, China, Seiten 32-36, 2014 |
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| und , High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, Seiten 103-108, IEEE 2019 6th Swiss Conference on Data Science (SDS), 2019 |
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| , , , , , , , , , , und , Holistic Classification of CT Attenuation Patterns for Interstitial Lung Diseases via Deep Convolutional Neural Networks, in: 1st Workshop on Deep Learning in Medical Image Analysis, Münich, Germany, Seiten 41-48, 2015 |
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| , und , Home telehealth interventions for people with asthma, in: Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on, IEEE, Seiten 907--911, 2012 |
| , und , How “Tools” Produce “Data”: Searching in a Large Digital Corpus of Audiovisual Holocaust Testimonies, in: Jewish Studies in the Digital Age, Seiten 65-88, De Gruyter Oldenbourg, 2022 |
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| , , , , und , How clinical information systems can support life science research (2008), in: Swiss Medical Informatics, 64(21-24) |
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, , , , , , und , How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review (2023), in: NeuroImage: Clinical, 39(103491)
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| , , , , und , How Grids are Perceived in Healthcare and the Public Service Sector, in: Global HealthGrid: e-Science Meets Biomedical Informatics - Proceedings of HealthGrid 2008, Seiten 61-69, 2008 |
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| , How is Oral History Possible? On Linguistically Universal and Topically Specific Knowledge (2022), in: The Oral History Review |
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, , , und , How to motivate participation and improve quality of crowdsourcing when building accessibility maps, in: 3th International Workshop on Accessible Devices and Services in the 15th Conference of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, IEEE, 2018
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| und , How to Optimize Gower Distance Weights for the k-Medoids Clustering Algorithm to Obtain Mobility Profiles of the Swiss Population, in: 2019 6th Swiss Conference on Data Science (SDS), Bern, Seiten 51 - 56, IEEE, 2019 |
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| und , How to Visually Retrieve Images from the St. Andrews Collection Using GIFT., in: Multilingual Information Access for Text, Speech and Images: Result of the fifth CLEF evaluation campaign, Seiten 633-642, Springer, 2005 |
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, , und , How Users Search and What They Search for in the Medical Domain – Understanding Laypeople and Experts Through Query Logs (2016), in: Journal of Information Retrieval
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| , , , , , , , , und , Human Machine Interaction, Kapitel A Language and a Methodology for Prototyping User Interfaces for Control Systems, Seiten 221-248, Springer Berlin / Heidelberg, Band 440/2009, 2009 |
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| , , , , , , , und , Human Machine Interaction, Kapitel MEMODULES as Tangible Shortcuts to Multimedia Information, Seiten 103-132, Springer, Lecture Notes in Computer Science, Band 5440, 2009 |
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| , , und , Hunting moving targets: an extension to Bayesian methods in multimedia databases, Computer Vision Group, Computing Centre, University of Geneva, Nummer 99.03, 1999 |
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| , , und , Hunting moving targets: an extension to Bayesian methods in multimedia databases, in: Multimedia Storage and Archiving Systems IV (VV02), Seiten 328-337, 1999 |
| , Hydro power planning: Multi-horizon modeling and its application, ETH Zurich, 2015 |
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| , , und , Hydropower operation in a changing environment, IEEE, 2017 |
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| , , , , , und , I-BAT : A Data-intensive Solution based on the Internet of Things to Predict Energy Behaviours in Microgrids (2014), in: International Journal of Data Warehousing and Mining (IJDWM) |
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| , , , , , , und , I-BAT: A Data-Intensive Solution Based on the Internet of Things to Predict Energy Behaviors in Microgrids (2016), in: International Journal of Data Warehousing and Mining (IJDWM), 12:2(39--61) |
| , , , und , Identification method for home electrical signal disaggregation, SET 2014, 25-28.08.2014, Geneva, Switzerland, The 13th International Conference on Sustainable Energy Technologies, 2014 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und , Identification of paramagnetic rim lesions using conventional MRI - a deep learning approach, in: 39th Congress Of The European Committee For Treatment And Research In Multiple Sclerosis (ECTRIMS), 2023 |
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| und , IHE Profiles Open-Source and/or Free Implementations, University of Applied Sciences Western Switzerland (HES-SO), 2011 |
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, und , Image Classification with a Frequency-based Information Retrieval Schema for ImageCLEF 2006, in: CLEF 2006 Proceedings, Seiten 638-643, 2007
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| , , und , Image Retrieval in Medicine: Motivations, Methods, and Results of the ImageCLEF medical image retrieval task, in: ISHIMR 2007, Sheffield, England, 2007 |
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| , , und , Image Retrieval in Medicine: The imageCLEF 2009 Challenge, in: RSNA 2009, Chicago, IL, USA, 2009 |
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| und , Image Retrieval in Medicine: The ImageCLEF Medical Image Retrieval Evaluation (2007), in: ASIST Bulletin, February/March |
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| , , , , und , Image-based diagnostic aid for interstitial lung disease with secondary data integration, in: SPIE Medical Imaging, 2007 |
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| , , und , ImageCLEF - Experimental Evaluation of Visual Information Retrieval (2010), in: Springer |
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| , , und , ImageCLEF 2004-2005: Results Experiences and New Ideas for Image Retrieval Evaluation, in: International Conference on Content-Based Multimedia Indexing (CBMI 2005), 2005 |
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| , und , ImageCLEF 2004: Combining Image and Multi-lingual Search for Medical Image Retrieval., in: Multilingual Information Access for Text, Speech and Images: Result of the fifth CLEF evaluation campaign, Seiten 718-727, Springer, 2005 |
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| , , , , , , , , , , und , ImageCLEF 2013: the vision, the data and the open challenges, in: Proceedings of CLEF 2013, Springer, 2013 |
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, , , , , , , , , , und , ImageCLEF 2014: Overview and analysis of the results, in: CLEF Proceedings, 2014
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| , , , und , ImageCLEFmed: Developing a Test Collection for Biomedical Image Retrieval, in: Workshop on SNF/EU cooperation projects, 2006 |
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| , , , und , Impact of Character Models Choice on Arabic Text Recognition Performance, in: 12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010), Kolkata (India), 2010 |
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| , , , , , , , , , , , und , Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multi-centric anthropomorphic phantom study (2026), in: Medical Physics |
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| , , und , Impact of Mobility on the Performance of Context-Aware Applications Using Floating Content, EAI, Springer International Publishing, 2013 |
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| und , Implications and Consequences of Mass Customization on Manufacturing Control, in: Innovative Processes and Products for Mass Customization. Proceedings of the Joint Conference of the International Mass Customization Meeting 2007 (IMCM 07) and the International Conference on Economic, Technical and Organisational Aspects of Product Conf, Seiten 365 - 378, GITO, 2007 |
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| , , , , und , Implicit biodiversity monitoring from mobile search logs (2016), in: ACM Multimedia |
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| und , Impostures of Talking Face Systems Using Automatic Face Animation, in: IEEE Conference on Biometrics: Theory, Applications and Systems (BTAS 08), Arlington, Virginia, USA, 2008 |
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| , und , Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers, ESANN, Bruges, Belgium (Online), i6doc.com publ., 2021 |
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| , und , 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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| und , 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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| , Improving Automated Fact-Checking Through the Semantic Web, Springer International Publishing, 9671, 2016 |
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| , und , Improving Response Time by Search Pruning in a Content-Based Image Retrieval System, Using Inverted File Techniques, Computer Vision Group, Computing Centre, University of Geneva, Nummer 99.01, 1999 |
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| , und , Improving Response Time by Search Pruning in a Content-Based Image Retrieval System, Using Inverted File Techniques, Seiten 45-49, 1999 |
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| , und , Improving the tourism marketing strategies by predicting the behavior of travelers using social media networks, ZHAW, Winterthur, Switzerland, 2017 |
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| , , , und , 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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| , , , und , In-time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap, in: Post-Proceedings o EXTRAAMAS 2020, 2020 |
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| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1381 |