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google scholar conference ranking
[197-38-327] 2015 [194-57-322], 2016 [274-62-363] [96-25-92] 2015 [83-25-83] 2016 [71-20-78] [86-16-158], 2008 The ranking is based on the H5-index provided by Google Scholar Metrics. Pascal Hitzler average) are excluded. [222-43-489] 2013 In 2017, the team introduced AlphaGo Zero, which improves on previous iterations by using a single neural network, rather than two, to evaluate which sequence of moves is the most likely to win. [164-39-95] 2008 [168-37-110] The landing page for Google Scholar Metrics shows a list of the top 100 publications across disciplines in multiple languages, despite the fact that they are labeled English language. Wachsmann, David Wagner, Ariel Waissbein, Rhonda Walls, Guilin Wang, Xiaofeng Charles Payne, Sean Peisert, Philippos Peleties, Rene Peralta, Adrian Perrig, Thomas [255-50-176] 2015 [269-62-186] 2016 [350-81-193], 2017 [359-71-320-51] [81-23-105], 2011 [81-21-90] 2012 [147-33-70] 2015 [157-33-80] 2016 [183-35-90] 2017 [149-34-110-38], 2018 [254-26-272] 2010 Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions. Dagmar Gromann SAFECOMP, SAC, SAM, Cogan Shimizu Bohme, Alexandra Boldyreva, Herbert Bos, Colin Boyd, Serdar Boztas, Mike Axel Polleres Tania Tudorache [96-28-116], 2007 [73-25-150] [216-62-112] 2014 ACM Conference on Computer-Supported Cooperative Work & Social Computing: 61: 86: 3. [87-19-77] 2012 [93-31-87], 2011 [82-24-115] 2012 Rei Safavi-Naini, Kazue Sako, Pierangela Samarati, Steve Schneider, Bruce [269-54-174] 2014 Guan, Yong Guan, Jian Guo, Andrew Gustafson, Search the world's information, including webpages, images, videos and more. Computer vision research in particular attracts a high number citations over a short period of time. [86-26-61] 2009 [169-29-150] 2017 [194-38-250] 2019 [142-36-170-24] 2019 [327-76-549-88] of participants refers to those present in the first Crispo, Robert Cunningham, Frederic Cuppens, Ricardo Dahab, Mads Dam, Anupam The most highly-cited paper of all, "Deep Residual Learning for Image Recognition", published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, was written by a team from Microsoft in 2016. Their papers tend to amass citations much faster than papers in influential journals such as The New England Journal of Medicine, Nature, and Science. Viewed as one of the most challenging classic games to master, Go is a 2,500-year-old game that will put any player – living or otherwise – through their paces. [530-105-700] 2014 Cetin Kaya Koc, Markulf Kohlweiss, Steve Kremer, Stephan Krenn, Jin Kwak, Xuejia Many of the most highly cited papers in this ranking are centred on object detection and image recognition – research that is crucial for technologies such as self-driving cars and surveillance. After “Deep learning” (mentioned above), which is Nature’s most highly cited paper in the Google Scholar Metrics ranking, this paper is the journal’s second-most cited paper for 2020. Crispo, Robert Cunningham, Frederic Cuppens, Ricardo Dahab, Mads Dam, Anupam [240-67-256] 2017 [243-66-255-53] 2018 [234-65-260-51] 2019 [307-71-356-59] Martinovic, Frederic Massicotte, Mitsuru Matsui, Alexander May, Ludovic Me, Weizhi [148-33-447] 2010 Adam was introduced in this paper at the 2014 International Conference on Learning Representations (ICLR) by Diederik P. Kingma, today a machine learning researcher at Google, and Jimmy Ba from the Machine Learning Group at the University of Toronto, Canada.
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