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المؤلفون: Allan Heydon, Benjamin Ricaud, Linjun Shou, Dmitry Ustalov, Yanick Schraner, George Yu, Daria Baidakova, Ly Dinh, Paul Groth, Mehrnoosh Sameki, Marinka Zitnik, Flavian Vasile, Krishnaram Kenthapadi, Benjamin Wollmer, Felix Gessert, Da-Cheng Juan, Hong Cheng, Javier Albert, David Rohde, Onur Celebi, Robert West, Xiang Wang, Dawei Yin, Amine Benhalloum, Junzhou Huang, Fuchun Sun, Michaël Defferrard, Ming Gong, Rezvaneh Rezapour, Levan Tsinadze, Shubhanshu Mishra, Stratis Ioannidis, Francisco M. Couto, Yicheng Fan, Xiangnan He, Christian Scheller, Yueqi Wang, Yu Rong, Pasquale Lisena, Sharada P. Mohanty, Nicolas Aspert, Irene Teinemaa, Chun-Ta Lu, Volodymyr Miz, Jiawei Chen, Johny Jose, Xiangyu Zhao, Philip Pham, Yatao Bian, Manuel K. Schneider, Jennifer G. Dy, Nashlie Sephus, Dmitri Goldenberg, Jiliang Tang, Fuli Feng, Wenbing Huang, Olivier Jeunen, Wenqi Fan, Nikita Popov, Mario Koenig, Shobeir Fakhraei, Olesia Altunina, Smriti Bhagat, Samin Aref, Chun-Sung Ferng, Wolfram Wingerath, Evann Courdier, Martin Müller, Xiubo Geng, Xingjie Zhou, Otmane Sakhi, Dragan Cvetinovic, Florian Laurent, Norbert Ritter, Cesar Ilharco Magalhaes, Stephan Succo, Jian Pei, Ben Packer, Tingyang Xu, Ilkay Yildiz, Rose Howell, Jana Diesner, Tudor Mihai Avram, Arjun Gopalan, Alexey Drutsa, Daxin Jiang, Albert Meroño-Peñuela, Christos Faloutsos
المساهمون: Algorithmic Data Science (IVI, FNWI)
المصدر: The Web Conference 2021: companion of the World Wide Web Conference WWW 2021: April 19-23, 2021, Ljubljana, Slovenia
The Web Conference 2021
30th World Wide Web (WWW) Conference (WebConf), APR 19-23, 2021, ELECTR NETWORK
WEB CONFERENCE 2021: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2021)مصطلحات موضوعية: World Wide Web, Computer. Automation, Engineering, business.industry, GeneralLiterature_INTRODUCTORYANDSURVEY, business
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db21f1ce6612200bda91f82be15d8cf
https://doi.org/10.1145/3442442.3453701 -
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المؤلفون: Daniel Haziza, Thibault Peyronel, Peizhao Zhang, Maxime Oquab, Oran Gafni, Tao Xu, Patrick Labatut, Camille Couprie, Yana Hasson, Onur Celebi, Bobo Bose-Kolanu, Pierre Stock
المصدر: CVPR Workshops
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, business.industry, Computer Vision and Pattern Recognition (cs.CV), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer Science - Computer Vision and Pattern Recognition, Context (language use), Animation, Image segmentation, Machine Learning (cs.LG), Bandwidth (computing), Leverage (statistics), Computer vision, Segmentation, Artificial intelligence, Communication source, business, Data compression
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57e17ee435fcc8a5dab3a35202f36fac
http://arxiv.org/abs/2012.00328 -
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المؤلفون: Edouard Grave, Veselin Stoyanov, Vishrav Chaudhary, Beliz Gunel, Jingfei Du, Onur Celebi, Michael Auli, Alexis Conneau
المصدر: NAACL-HLT
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Computation and Language, business.industry, Computer science, Natural language understanding, 02 engineering and technology, 010501 environmental sciences, Machine learning, computer.software_genre, Variety (linguistics), 01 natural sciences, Task (project management), Scalability, 0202 electrical engineering, electronic engineering, information engineering, Labeled data, Leverage (statistics), 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Self training, Computation and Language (cs.CL), 0105 earth and related environmental sciences
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35d9966a169360a0ecb857f71449e7a5
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المؤلفون: Ayca Badem, Cem Ergin, Fulya Akdeniz, Onur Celebi, Yasar Becerikli
المصدر: 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
مصطلحات موضوعية: Support vector machine, Computer science, Local binary patterns, Performance comparison, Feature extraction, ComputingMethodologies_GENERAL, Android (operating system), Mobile device, Algorithm, k-nearest neighbors algorithm, Leaf recognition
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::19fc0292a194d3f1edbdb9a0be6fc248
https://doi.org/10.1109/ismsit.2019.8932749