Zobrazeno 1 - 10
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pro vyhledávání: '"Mohanty, Sharada Prasanna"'
Autor:
Mohanty, Sharada Prasanna, Singhal, Gaurav, Scuccimarra, Eric Antoine, Kebaili, Djilani, Héritier, Harris, Boulanger, Victor, Salathé, Marcel
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 to develop open and reprodu
Externí odkaz:
http://arxiv.org/abs/2106.14977
Autor:
Mondal, Shanka Subhra, Mohanty, Sharada Prasanna, Harlander, Benjamin, Koseoglu, Mehmet, Rane, Lance, Romanov, Kirill, Liu, Wei-Kai, Hatwar, Pranoot, Salathe, Marcel, Byrum, Joe
In the IEEE Investment ranking challenge 2018, participants were asked to build a model which would identify the best performing stocks based on their returns over a forward six months window. Anonymized financial predictors and semi-annual returns w
Externí odkaz:
http://arxiv.org/abs/1906.08636
Autor:
Kidziński, Łukasz, Ong, Carmichael, Mohanty, Sharada Prasanna, Hicks, Jennifer, Carroll, Sean F., Zhou, Bo, Zeng, Hongsheng, Wang, Fan, Lian, Rongzhong, Tian, Hao, Jaśkowski, Wojciech, Andersen, Garrett, Lykkebø, Odd Rune, Toklu, Nihat Engin, Shyam, Pranav, Srivastava, Rupesh Kumar, Kolesnikov, Sergey, Hrinchuk, Oleksii, Pechenko, Anton, Ljungström, Mattias, Wang, Zhen, Hu, Xu, Hu, Zehong, Qiu, Minghui, Huang, Jun, Shpilman, Aleksei, Sosin, Ivan, Svidchenko, Oleg, Malysheva, Aleksandra, Kudenko, Daniel, Rane, Lance, Bhatt, Aditya, Wang, Zhengfei, Qi, Penghui, Yu, Zeyang, Peng, Peng, Yuan, Quan, Li, Wenxin, Tian, Yunsheng, Yang, Ruihan, Ma, Pingchuan, Khadka, Shauharda, Majumdar, Somdeb, Dwiel, Zach, Liu, Yinyin, Tumer, Evren, Watson, Jeremy, Salathé, Marcel, Levine, Sergey, Delp, Scott
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a given time-varying velocity vector. Top participants were invited to desc
Externí odkaz:
http://arxiv.org/abs/1902.02441
Autor:
Perez-Liebana, Diego, Hofmann, Katja, Mohanty, Sharada Prasanna, Kuno, Noburu, Kramer, Andre, Devlin, Sam, Gaina, Raluca D., Ionita, Daniel
Publikováno v:
Challenges in Machine Learning (NIPS Workshop), 2018
Learning in multi-agent scenarios is a fruitful research direction, but current approaches still show scalability problems in multiple games with general reward settings and different opponent types. The Multi-Agent Reinforcement Learning in Malm\"O
Externí odkaz:
http://arxiv.org/abs/1901.08129
Autor:
Kidziński, Łukasz, Mohanty, Sharada Prasanna, Ong, Carmichael, Huang, Zhewei, Zhou, Shuchang, Pechenko, Anton, Stelmaszczyk, Adam, Jarosik, Piotr, Pavlov, Mikhail, Kolesnikov, Sergey, Plis, Sergey, Chen, Zhibo, Zhang, Zhizheng, Chen, Jiale, Shi, Jun, Zheng, Zhuobin, Yuan, Chun, Lin, Zhihui, Michalewski, Henryk, Miłoś, Piotr, Osiński, Błażej, Melnik, Andrew, Schilling, Malte, Ritter, Helge, Carroll, Sean, Hicks, Jennifer, Levine, Sergey, Salathé, Marcel, Delp, Scott
In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle course. Top participants were invited to describe their algorithms. In
Externí odkaz:
http://arxiv.org/abs/1804.00361
Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent adv
Externí odkaz:
http://arxiv.org/abs/1604.03169
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports
Scientific Reports
Clinical research in autism has recently witnessed promising digital phenotyping results, mainly focused on single feature extraction, such as gaze, head turn on name-calling or visual tracking of the moving object. The main drawback of these studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::4cb5ef7f5754c755e367b5029a9e1b19
https://doaj.org/article/f0ec9e65eaf94a928d1f9dddd7e118e9
https://doaj.org/article/f0ec9e65eaf94a928d1f9dddd7e118e9
Akademický článek
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Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Autor:
Mohanty SP; Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland., Czakon J; neptune.ml, Warsaw, Poland., Kaczmarek KA; neptune.ml, Warsaw, Poland.; Warsaw University of Technology, Warsaw, Poland., Pyskir A; deepsense.ai, Warsaw, Poland., Tarasiewicz P; deepsense.ai, Warsaw, Poland., Kunwar S; Centre for Natural Resources Management, Analysis, Training and Policy Research (NARMA), Kathmandu, Nepal., Rohrbach J; Zurich University of Applied Sciences, Zürich, Switzerland., Luo D; Anthropocene Labs, New York, NY, United States., Prasad M; Center for Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany., Fleer S; Center for Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany., Göpfert JP; Center for Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany., Tandon A; Center for Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany., Mollard G; Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland., Rayaprolu N; International Institute of Information Technology Hyderabad, Hyderabad, India., Salathe M; Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland., Schilling M; Center for Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany.
Publikováno v:
Frontiers in artificial intelligence [Front Artif Intell] 2020 Nov 16; Vol. 3, pp. 534696. Date of Electronic Publication: 2020 Nov 16 (Print Publication: 2020).