Supervised Learning Computer Vision Benchmark for Snake Species Identification From Photographs: Implications for Herpetology and Global Health

Autor: Andrew M. Durso, Gokula Krishnan Moorthy, Sharada P. Mohanty, Isabelle Bolon, Marcel Salathé, Rafael Ruiz de Castañeda

Publikováno v: Frontiers in Artificial Intelligence, Vol 4 (2021)

We trained a computer vision algorithm to identify 45 species of snakes from photos and compared its performance to that of humans. Both human and algorithm performance is substantially better than randomly guessing (null probability of guessing corr

Externí odkaz: https://doaj.org/article/873f9cb0020042629c72fb18a3934b2c

The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images

Autor: Sharada Prasanna Mohanty, Gaurav Singhal, Eric Antoine Scuccimarra, Djilani Kebaili, Harris Héritier, Victor Boulanger, Marcel Salathé

Publikováno v: Frontiers in Nutrition, Vol 9 (2022)

The automatic recognition of food on images has numerous interesting applications, including nutritional tracking in medical cohorts. The problem has received significant research attention, but an ongoing public benchmark on non-biased (i.e., not sc

Externí odkaz: https://doaj.org/article/c3edb5dd906c4b4395606fe8a007fb53

Summary of Tutorials at The Web Conference 2021

Autor: 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

Publikováno v: 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)

This report summarizes the 23 tutorials hosted at The Web Conference 2021: nine lecture-style tutorials and 14 hands-on tutorials.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db21f1ce6612200bda91f82be15d8cf
https://doi.org/10.1145/3442442.3453701

On the Design of a Youth-Led, Issue-Based, Crowdsourced Global Monitoring Framework for the SDGs

Autor: Rajiv Ramaswamy, Anantha Kumar Duraiappah, Sharada P. Mohanty

Publikováno v: Sustainability
Volume 11
Issue 23

In this paper, we propose a novel methodology and design to contribute towards the achievement of the 17 Sustainable Development Goals (SDGs) adopted by member states of the United Nations for a better and more sustainable future for all. We particul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28084540b5e9c787efa74694e3485a47

CCLTracker Framework: Monitoring user learning and activity in web based citizen science projects

Autor: Daniel Schneider, Sharada P. Mohanty, Ioannis Charalampidis, Francois Grey, Jose Luis Fernandez-Marquez, Ben Segal, Oula Abu-Amsha

Publikováno v: Human Computation, Vol. 3, No 1 (2016) pp. 99-117

Analytics tools have been widely used over the last years for the development of web-based application and services. Analytics data allows improving user interfaces through planning, executing, and evaluating actions intended to increase user engagem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81e2094fe292cf4069085309e675a7b4
https://doi.org/10.15346/hc.v3i1.6