Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Suresh Iyengar"'
Autor:
Ananya Suresh Iyengar, Emily Zhang, Tsachi Ein-Dor, Sabrina J. Chan, Anjali J Kaimal, Sharon Dekel
Knowledge of childbirth outcomes of Black and Latinx individuals during the coronavirus pandemic is limited. Black/African American and Latinx/Hispanic individuals were matched to non-Hispanic white individuals on socio-demographics. Minority individ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::036d5ef7ef2a38098f615853addc389f
https://doi.org/10.1101/2021.11.30.21265428
https://doi.org/10.1101/2021.11.30.21265428
Autor:
Gopal Srinivasa, Venkatesh Potluri, Y. Vidya, Priyan Vaithilingam, Suresh Iyengar, Manohar Swaminathan
Publikováno v:
CHI
In recent times, programming environments like Visual Studio are widely used to enhance programmer productivity. However, inadequate accessibility prevents Visually Impaired (VI) developers from taking full advantage of these environments. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d451185ccbeaf52c412d888a8d5d9d56
https://doi.org/10.1145/3173574.3174192
https://doi.org/10.1145/3173574.3174192
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 7:1-24
In entity matching, a fundamental issue while training a classifier to label pairs of entities as either duplicates or nonduplicates is the one of selecting informative training examples. Although active learning presents an attractive solution to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::711598ca5d7512eed1df1ece5c002b21
https://doi.org/10.1145/2513092.2500490
https://doi.org/10.1145/2513092.2500490
Publikováno v:
SIGIR
Emails continue to remain the most important and widely used mode of online communication despite having its origins in the middle of last century and being threatened by a variety of online communication innovations. While several studies have predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7a7ccb3bef5290d11542aa5d1603794
https://doi.org/10.1145/2911451.2911458
https://doi.org/10.1145/2911451.2911458
Autor:
Srinivasan H. Sengamedu, Suresh Iyengar, Amit Madaan, Vishrawas Gopalakrishnan, Rajeev Rastogi
Publikováno v:
CIKM
Matching product titles from different data feeds that refer to the same underlying product entity is a key problem in online shopping. This matching problem is challenging because titles across the feeds have diverse representations with some missin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c57fab32dd3b7d8fb3357bb406d5affa
https://doi.org/10.1145/2396761.2396839
https://doi.org/10.1145/2396761.2396839
Publikováno v:
KDD
In entity matching, a fundamental issue while training a classifier to label pairs of entities as either duplicates or non-duplicates is the one of selecting informative training examples. Although active learning presents an attractive solution to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b386ca65da5645995abdb1dc297098a0
https://doi.org/10.1145/2339530.2339707
https://doi.org/10.1145/2339530.2339707