Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Munira Syed"'
Autor:
Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
To improve consumer engagement and satisfaction, online news services employ strategies for personalizing and recommending articles to their users based on their interests. In addition to news agencies’ own digital platforms, they also leverage soc
Externí odkaz:
https://doaj.org/article/b47a3fac7f5a45a9bed81ff247099da8
Autor:
Meng Jiang, Vishal Juneja, Munira Syed, Nitesh V. Chawla, Oliver Conway, Daheng Wang, Sriram Subramanian
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Frontiers in Big Data
Frontiers in Big Data
To improve consumer engagement and satisfaction, online news services employ strategies for personalizing and recommending articles to their users based on their interests. In addition to news agencies’ own digital platforms, they also leverage soc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baf216ef4cda8b845ab8acff014df604
https://www.frontiersin.org/articles/10.3389/fdata.2021.699070/full
https://www.frontiersin.org/articles/10.3389/fdata.2021.699070/full
Autor:
Oliver Conway, Meng Jiang, Nitesh V. Chawla, Munira Syed, Sriram Subramanian, Vishal Juneja, Daheng Wang
Publikováno v:
ASONAM
Understanding user characteristics such as demographic information is useful for the personalization of online content promoted to users. However, it is difficult to obtain such data for each user visiting the website. Since demographic data for some
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78c557fe787b3bc3f60f1fae28f30cb1
https://doi.org/10.1109/asonam49781.2020.9381444
https://doi.org/10.1109/asonam49781.2020.9381444
Autor:
Meng Jiang, Nitesh V. Chawla, Vishal Juneja, Sriram Subramanian, Oliver Conway, Daheng Wang, Munira Syed
Publikováno v:
KDD
User behavior modeling is important for industrial applications such as demographic attribute prediction, content recommendation, and target advertising. Existing methods represent behavior log as a sequence of adopted items and find sequential patte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0c39fd82f37aaf6f22d09a6f5079dee
Autor:
Alison Lanski, Munira Syed, Xiaojing Duan, Nitesh V. Chawla, Trunojoyo Anggara, G. Alex Ambrose
Publikováno v:
LAK
Identifying non-thriving students and intervening to boost them are two processes that recent literature suggests should be more tightly integrated. We perform this integration over six semesters in a First Year Experience (FYE) course with the aim o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08121e43d11d15b2d802a037e608ebdb
https://doi.org/10.1145/3303772.3303803
https://doi.org/10.1145/3303772.3303803
Publikováno v:
Computational Data and Social Networks ISBN: 9783030349790
CSoNet
CSoNet
Generative Adversarial Networks (GANs) have enabled researchers to achieve groundbreaking results on generating synthetic images. While GANs have been heavily used for generating synthetic image data, there is limited work on using GANs for synthetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc12fc40d87fb6a48d1fbe6ca91a3737
https://doi.org/10.1007/978-3-030-34980-6_38
https://doi.org/10.1007/978-3-030-34980-6_38
Autor:
Bikram Sengupta, Munira Syed, G. Alex Ambrose, Malolan Chetlur, Shazia Afzal, Nitesh V. Chawla
Publikováno v:
ACII
We report on a study of affective states of learners in a Massive Open Online Course (MOOC) and the interplay of Affect, Behavior and Cognition at various stages of the course. Affect is measured through a series of self-reports from learners at stra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::390e49a14f17035619bf923c26beaf85
https://doi.org/10.1109/acii.2017.8273613
https://doi.org/10.1109/acii.2017.8273613
Publikováno v:
DCOSS
This paper develops a new principled frameworkto solve a hardness-aware truth discovery problem in socialsensing applications. Social sensing has emerged as a new applicationparadigm where a large crowd of social sensors (humansor devices on their be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91d803423b2c9545e916808730cf1432
https://doi.org/10.1109/dcoss.2016.9
https://doi.org/10.1109/dcoss.2016.9