Usha Lokala
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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
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
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
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
edarkfind: Unsupervised multi-view learning for sybil account detection
R Kumar, S Yadav, R Daniulaityte, F Lamy, K Thirunarayan, U Lokala, ...
Proceedings of The Web Conference 2020, 1955-1965, 2020
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
“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
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
" Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
K Roy, U Lokala, V Khandelwal, A Sheth
AAAI MAKE 2021, 2021
“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
DAO: An ontology for substance use epidemiology on social media and dark web
U Lokala, R Daniulaityte, F Lamy, M Gaur, K Thirunarayan, U Kursuncu, ...
JMIR Public Health and Surveillance, 2020
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
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
Road Accidents Bigdata Mining and Visualization using Support Vector Machines
U Lokala, S Nowduri, PK Sharma
ICMLA, 2017
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket
U Lokala, F Lamy, TG Dastidar, K Roy, R Daniulaityte, S Parthasarathy, ...
ICLR AI for Public Health 2021, 2021
Tutorials at the web conference 2023
V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ...
Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023
An ontology for cardiothoracic surgical education and clinical data analytics
M Panahiazar, Y Chern, R Riojas, OS Latif, U Lokala, D Hadley, AP Sheth, ...
MIE, 407-408, 2022
Detecting substance use disorder using social media data and the dark web: time-and knowledge-aware study
U Lokala, OC Phukan, TG Dastidar, F Lamy, R Daniulaityte, A Sheth
JMIRx Med 5, e48519, 2024
" Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb
U Lokala, OC Phukan, TG Dastidar, F Lamy, R Daniulaityte, A Sheth
arXiv preprint arXiv:2304.10512, 2023
Social media data for exploring the association between cannabis use and depression
U Lokala, R Daniulaityte, R Carlson, F Lamy, S Yadav, A Sheth
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