受强制性开放获取政策约束的文章 - Usha Lokala了解详情
可在其他位置公开访问的文章：15 篇
Predictive analysis on Twitter: Techniques and applications
U Kursuncu, M Gaur, U Lokala, K Thirunarayan, A Sheth, IB Arpinar
Emerging research challenges and opportunities in computational social …, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Question answering for suicide risk assessment using reddit
A Alambo, M Gaur, U Lokala, U Kursuncu, K Thirunarayan, A Gyrard, ...
2019 IEEE 13th International Conference on Semantic Computing (ICSC), 468-473, 2019
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Listed for sale: analyzing data on fentanyl, fentanyl analogs and other novel synthetic opioids on one cryptomarket
FR Lamy, R Daniulaityte, MJ Barratt, U Lokala, A Sheth, RG Carlson
Drug and alcohol dependence 213, 108115, 2020
强制性开放获取政策： US National Institutes of Health
Global trends, local harms: availability of fentanyl-type drugs on the dark web and accidental overdoses in Ohio
U Lokala, FR Lamy, R Daniulaityte, A Sheth, RW Nahhas, JI Roden, ...
Computational and mathematical organization theory 25, 48-59, 2019
强制性开放获取政策： US National Institutes of Health
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework
U Lokala, A Srivastava, TG Dastidar, T Chakraborty, MS Akthar, ...
Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2022
强制性开放获取政策： US National Science Foundation, Department of Science & Technology, India
“Etazene, safer than heroin and fentanyl”: Non-fentanyl novel synthetic opioid listings on one darknet market
FR Lamy, R Daniulaityte, MJ Barratt, U Lokala, A Sheth, RG Carlson
Drug and alcohol dependence 225, 108790, 2021
强制性开放获取政策： US National Institutes of Health
What's ur type? Contextualized classification of user types in marijuana-related communications using compositional multiview embedding
U Kursuncu, M Gaur, U Lokala, A Illendula, K Thirunarayan, ...
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 474-479, 2018
强制性开放获取政策： US National Institutes of Health
“When they say weed causes depression, but it’s your fav antidepressant”: knowledge-aware attention framework for relationship extraction
S Yadav, U Lokala, R Daniulaityte, K Thirunarayan, F Lamy, A Sheth
PloS one 16 (3), e0248299, 2021
强制性开放获取政策： US National Institutes of Health
Drug abuse ontology to harness web-based data for substance use epidemiology research: ontology development study
U Lokala, F Lamy, R Daniulaityte, M Gaur, A Gyrard, K Thirunarayan, ...
JMIR public health and surveillance 8 (12), e24938, 2022
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Tutorial: Neuro-symbolic ai for mental healthcare
K Roy, U Lokala, M Gaur, AP Sheth
Proceedings of the Second International Conference on AI-ML Systems, 1-3, 2022
强制性开放获取政策： US National Science Foundation
Road Accidents Bigdata Mining and Visualization using Support Vector Machines
U Lokala, S Nowduri, PK Sharma
ICMLA, 2017
强制性开放获取政策： US National Science Foundation
An ontology for cardiothoracic surgical education and clinical data analytics
M Panahiazar, Y Chern, R Riojas, OS Latif, U Lokala, D Hadley, A Sheth, ...
Challenges of Trustable AI and Added-Value on Health, 407-408, 2022
强制性开放获取政策： US National Institutes of Health
Tutorial: Causal AI for Web and Health Care.
U Lokala, K Roy
Companion Proceedings of the ACM Web Conference, 2023
强制性开放获取政策： US National Science Foundation
ACM web conference 2023
U Lokala, K Roy, U Jaimini, A Sheth
强制性开放获取政策： US National Science Foundation
Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision
G Bajaj, U Kursuncu, M Gaur, U Lokala, A Hyder, S Parthasarathy, ...
MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022
强制性开放获取政策： US National Science Foundation
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