Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Abrar Rahman"'
Autor:
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M.R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
Publikováno v:
Neural Networks. 160:274-296
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks encountered by the deployed systems will not be limited to the original t
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Autor:
Megan J. Mehta, Abrar Rahman
Publikováno v:
Berkeley Scientific Journal, vol 26, iss 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c02315f77cdc29c9f300fb43dc8a38e
https://escholarship.org/uc/item/8032f137
https://escholarship.org/uc/item/8032f137
Autor:
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco Gallardo, Tyler Hayes, Cameron Taylor, Mustafa Burak Gurbuz, James Smith, Sahana Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael Piacentino, Jesse Hostetler, Aswin Raghavan
As Artificial and Robotic Systems are increasingly deployed and relied upon for real-world applications, it is important that they exhibit the ability to continually learn and adapt in dynamically-changing environments, becoming Lifelong Learning Mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::416566d689b9309835376f02f4c78719
Autor:
Fuad Rahman, Abrar Rahman, AKM Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Autor:
Fuad Rahman, Abrar Rahman, AKM Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt
Publikováno v:
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).
Publikováno v:
IEEE BigData
This paper presents a targeted, machine learning based solution to model the phenomenon known as the ‘cytokine storm,’ which is suspected to play a major role in explaining the highly variable severity of COVID-19 among patients. It describes how
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030630911
Advances in Intelligent Systems and Computing
Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3
Advances in Intelligent Systems and Computing
Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3
During a pandemic, such as COVID-19, the scientific community must optimize collaboration, as part of the race against time to identify and repurpose existing treatments. Today, Artificial Intelligence (AI) offers us a significant opportunity to gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdc32c15248c0925141e19bcf4485de1
https://doi.org/10.1007/978-3-030-63092-8_5
https://doi.org/10.1007/978-3-030-63092-8_5
Autor:
Abrar Rahman, Yonathan Weiner, Marvin J. Slepian, Anusheh Abdullah, Swanson Hailey L, Rebecca C. Slepian
Publikováno v:
IEEE BigData
This project seeks to use wearable sensors to develop a novel method for measuring respiratory activity in human subjects. This is the first stage of an ongoing project under the Arizona Center for Accelerated Biomedical Innovation (ACABI) [1]. The u
Publikováno v:
IEEE BigData
This work focuses on creating a smart Electronic Health Record (EHR) platform to collect and analyze doctor-patient interactions. It is an often cited fact that doctors are spending less and less time with patients, but two recent surveys have quanti