Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ananth Balashankar"'
Autor:
Shiva R. Iyer, Ananth Balashankar, William H. Aeberhard, Sujoy Bhattacharyya, Giuditta Rusconi, Lejo Jose, Nita Soans, Anant Sudarshan, Rohini Pande, Lakshminarayanan Subramanian
Publikováno v:
npj Climate and Atmospheric Science, Vol 5, Iss 1, Pp 1-8 (2022)
Abstract The use of air quality monitoring networks to inform urban policies is critical especially where urban populations are exposed to unprecedented levels of air pollution. High costs, however, limit city governments’ ability to deploy referen
Externí odkaz:
https://doaj.org/article/c7f797607ddc495db3b47f286b55d4d3
Autor:
Ananth Balashankar, Samuel Fraiberger, Eric Deregt, Marelize Gorgens, Lakshminarayanan Subramanian
Publikováno v:
ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87a8f8ea41e33e31f0428a9b5afc0bf8
https://doi.org/10.1145/3530190.3534797
https://doi.org/10.1145/3530190.3534797
Autor:
Ananth Balashankar, Alyssa Lees
Publikováno v:
Information for a Better World: Shaping the Global Future ISBN: 9783030969561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c1f6ce97dac96eb0376e6df0d32d969
https://doi.org/10.1007/978-3-030-96957-8_30
https://doi.org/10.1007/978-3-030-96957-8_30
Autor:
Shiva R. Iyer, Ananth Balashankar, William H. Aeberhard, Sujoy Bhattacharyya, Giuditta Rusconi, Lejo Jose, Nita Soans, Anant Sudarshan, Rohini Pande, Lakshminarayanan Subramanian
Publikováno v:
npj Climate and Atmospheric Science, 5
The use of air quality monitoring networks to inform urban policies is critical especially where urban populations are exposed to unprecedented levels of air pollution. High costs, however, limit city governments' ability to deploy reference grade ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91b2f56c9add344e691a876ba2759f21
https://pubmed.ncbi.nlm.nih.gov/36254321
https://pubmed.ncbi.nlm.nih.gov/36254321
Publikováno v:
WSDM
Recommender models trained on historical observational data alone can be brittle when domain experts subject them to counterfactual evaluation. In many domains, experts can articulate common, high-level mappings or rules between categories of inputs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e825756d968b6f9f6b98b68d1d2941bf
https://doi.org/10.1145/3437963.3441784
https://doi.org/10.1145/3437963.3441784
Publikováno v:
ACL/IJCNLP (1)
Learning contextual text embeddings that represent causal graphs has been useful in improving the performance of downstream tasks like causal treatment effect estimation. However, existing causal embeddings which are trained to predict direct causal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93c1b5003c507942d1b8fd8ba66f3aa0
https://doi.org/10.18653/v1/2021.acl-long.69
https://doi.org/10.18653/v1/2021.acl-long.69
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28ba2802b1e1e0ccf9b8439e9ae15acb
https://doi.org/10.18653/v1/2021.emnlp-main.386
https://doi.org/10.18653/v1/2021.emnlp-main.386
Publikováno v:
COMPASS
Disease surveillance is critical for mobilizing health care resources and deciding on isolation measures to contain the spread of infectious diseases. Because ground truth signals of rare and deadly diseases are sparse, it can be useful to enrich sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2a498361a0c5c44b031497a767bf2a0
https://doi.org/10.1145/3314344.3332498
https://doi.org/10.1145/3314344.3332498
Autor:
Yan Shvartzshnaider, Thomas Wies, Prateek Mittal, Lakshminarayanan Subramanian, Ananth Balashankar, Zvonimir Pavlinovic, Helen Nissenbaum
Publikováno v:
WWW
Modern enterprises rely on Data Leakage Prevention (DLP) systems to enforce privacy policies that prevent unintentional flow of sensitive information to unauthorized entities. However, these systems operate based on rule sets that are limited to synt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98fb5b0a6889b3cf205b37ba9be38768
https://doi.org/10.1145/3308558.3313655
https://doi.org/10.1145/3308558.3313655
Publikováno v:
EMNLP/IJCNLP (1)
We propose a new framework to uncover the relationship between news events and real world phenomena. We present the Predictive Causal Graph (PCG) which allows to detect latent relationships between events mentioned in news streams. This graph is cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d0faf81533d0630505a62aead6928ed
https://doi.org/10.18653/v1/d19-1238
https://doi.org/10.18653/v1/d19-1238