Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Samaneh Saadat"'
Autor:
Alireza Abadi, Jamshid Yazdani-Charati, Zahra Geraili-Afra, Mehran Zarghami, Somayeh Ahmadi Gooraji, Samaneh Saadat
Publikováno v:
علوم بهداشتی ایران, Vol 2, Iss 4, Pp 10-14 (2014)
Background and Purpose: Patients with Bipolar I Disorder recurrence experiences mood variation between manic and depression during the time. Hence, that is need to the longitudinal study on Bipolar Disorder patients. This study aims to evaluate the
Externí odkaz:
https://doaj.org/article/688e00a792d24ad288d7bbf619aca822
Publikováno v:
Topics in cognitive scienceReferences.
In this study, we explore the future of work by examining differences in productivity when teams are composed of only humans or both humans and machine agents. Our objective was to characterize the similarities and differences between human and human
Autor:
Samaneh Saadat, Gita Sukthankar
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 16:266-272
Understanding event sequences is an important aspect of game analytics, since it is relevant to many player modeling questions. This paper introduces a method for analyzing event sequences by detecting contrasting motifs; the aim is to discover subse
Publikováno v:
BotSE@ICSE
The ever-increasing complexity of modern software engineering projects makes the usage of automated assistants imperative. Bots can be used to complete repetitive tasks during development and testing, as well as promoting communication between team m
Autor:
Christina Bouwens, John T. Murphy, Ivan Garibay, Olivia B. Newton, William Rand, Madeline Schiappa, Chathurani Senevirathna, Samaneh Saadat, Chathura Jayalath, Niloofar Yousefi, Alexander V. Mantzaris, Xi Zhang, Chathika Gunaratne, Anastasia Salter, Mel Stanfill, Nisha Baral, Gabriel Fair, Rachel Winter, Steven R. Scheinert, Neda B. Hajiakhoond, Jasser Jasser, Stephen M. Fiore, Ece C. Mutlu, Georgios C. Anagnostopoulos, Gita Sukthankar, Toktam A. Oghaz
Publikováno v:
Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas ISBN: 9783030775162
This paper explains the design of a social network analysis framework, developed under DARPA’s SocialSim program, with novel architecture that models human emotional, cognitive, and social factors. Our framework is both theory and data-driven, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abeab1c1ae1f43c7a50846e3c6fa9aae
https://doi.org/10.1007/978-3-030-77517-9_11
https://doi.org/10.1007/978-3-030-77517-9_11
Publikováno v:
WI/IAT
Our goal is to understand the characteristics of high-performing teams on GitHub. Towards this end, we collect data from software repositories and evaluate teams by examining differences in productivity. Our study focuses on the team formation phase,
Autor:
Samaneh Saadat, Gita Sukthankar
Publikováno v:
WI/IAT
While there are many machine learning methods to classify and cluster sequences, they fail to explain what are the differences in groups of sequences that make them distinguishable. Although in some cases having a black box model is sufficient, there
Publikováno v:
Water Research. 142:196-207
Controlled drainage (CD) is a structural conservation practice in which the drainage outlet is managed in order to reduce drain flow volume and nutrient loads to water bodies. The goal of this study was to evaluate the potential of CD to improve wate
Publikováno v:
Journal of Hydrology. 556:339-348
Long records of continuous drain flow are important for quantifying annual and seasonal changes in the subsurface drainage flow from drained agricultural land. Missing data due to equipment malfunction and other challenges have limited conclusions th
Publikováno v:
Transactions of the ASABE. 60:813-821
Controlled drainage is a best management practice that decreases nitrate loads from subsurface drainage, but questions remain about optimal operation strategies. One unanswered question is whether the outlet should be lowered prior to or directly aft