Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ece C. Mutlu"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 2, Iss 4, Pp 672-704 (2020)
Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, social networks, transportation networks, telecommunication networks, and
Externí odkaz:
https://doaj.org/article/6e8af7a71c774878b5c5febccbc4b280
Autor:
Ece C. Mutlu, Toktam Oghaz, Jasser Jasser, Ege Tutunculer, Amirarsalan Rajabi, Aida Tayebi, Ozlem Ozmen, Ivan Garibay
Publikováno v:
Data in Brief, Vol 33, Iss , Pp 106401- (2020)
At the time of this study, the SARS-CoV-2 virus that caused the COVID-19 pandemic has spread significantly across the world. Considering the uncertainty about policies, health risks, financial difficulties, etc. the online media, especially the Twitt
Externí odkaz:
https://doaj.org/article/25334a863fb940ccb1c264bc68817d5c
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5367 (2021)
Governments, policy makers, and officials around the globe are working to mitigate the effects of the COVID-19 pandemic by making decisions that strive to save the most lives and impose the least economic costs. Making these decisions require compreh
Externí odkaz:
https://doaj.org/article/1fbf55a04a5049bda4ba77e3a9180a72
Autor:
Ece C. Mutlu, Ozlem Ozmen Garibay
Publikováno v:
Entropy, Vol 23, Iss 5, p 538 (2021)
Modeling the information of social contagion processes has recently attracted a substantial amount of interest from researchers due to its wide applicability in network science, multi-agent-systems, information science, and marketing. Unlike in biolo
Externí odkaz:
https://doaj.org/article/57e62a18000f436290b266a688ed106a
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 2, Iss 36, Pp 672-704 (2020)
Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, social networks, transportation networks, telecommunication networks, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f0eb6315f760394349ae30f0c44800e
https://www.mdpi.com/2504-4990/2/4/36
https://www.mdpi.com/2504-4990/2/4/36
Publikováno v:
Applied Sciences
Volume 11
Issue 12
Applied Sciences, Vol 11, Iss 5367, p 5367 (2021)
Volume 11
Issue 12
Applied Sciences, Vol 11, Iss 5367, p 5367 (2021)
Governments, policy makers, and officials around the globe are working to mitigate the effects of the COVID-19 pandemic by making decisions that strive to save the most lives and impose the least economic costs. Making these decisions require compreh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4f1803c33d0953d1043105f614c9a36
Autor:
Ozlem Ozmen Garibay, Ece C. Mutlu
Publikováno v:
Entropy
Volume 23
Issue 5
Entropy, Vol 23, Iss 538, p 538 (2021)
Volume 23
Issue 5
Entropy, Vol 23, Iss 538, p 538 (2021)
Modeling the information of social contagion processes has recently attracted a substantial amount of interest from researchers due to its wide applicability in network science, multi-agent-systems, information science, and marketing. Unlike in biolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d8590821c10d827be8991043c2c9926
Autor:
Ivan Garibay, Ece C. Mutlu
Publikováno v:
Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas ISBN: 9783030775162
With the rapid growth of online social media, people become increasingly overwhelmed by the volume and the content of the information present in the environment. The fact that people express their opinions and feelings through social media channels,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36917480dae89f38c37e12857a477704
https://doi.org/10.1007/978-3-030-77517-9_7
https://doi.org/10.1007/978-3-030-77517-9_7
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
Autor:
Ozlem Ozmen Garibay, Ece C. Mutlu
Publikováno v:
HCI International 2021-Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence ISBN: 9783030909628
HCI (41)
HCI (41)
With the increasing demand for using artificial intelligence algorithms, the need for a fairness-oriented design in automated decision-making systems emerges as a major concern. Since poorly designed algorithms that ignore the fairness criterion in s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05ad024fb21006ebd19f840614dfecc0
https://doi.org/10.1007/978-3-030-90963-5_37
https://doi.org/10.1007/978-3-030-90963-5_37