What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding. - Ugur Kursuncu; Manas Gaur; Usha Lokala; Anurag Illendula; Krishnaprasad Thirunarayan; Raminta Daniulaityte; Amit P. Sheth; Ismailcem Budak Arpinar (WI, 2018)

Predictive Analysis on Twitter: Techniques and Applications. - Ugur Kursuncu; Manas Gaur; Usha Lokala; Krishnaprasad Thirunarayan; Amit P. Sheth; Ismailcem Budak Arpinar (CoRR, 2018)

Question Answering for Suicide Risk Assessment Using Reddit. - Amanuel Alambo; Manas Gaur; Usha Lokala; Ugur Kursuncu; Krishnaprasad Thirunarayan; Amelie Gyrard; Amit P. Sheth; Randon S. Welton; Jyotishman Pathak (ICSC, 2019)

Global trends, local harms: availability of fentanyl-type drugs on the dark web and accidental overdoses in Ohio. - Usha Lokala; Francois R. Lamy; Raminta Daniulaityte; Amit P. Sheth; Ramzi W. Nahhas; Jason I. Roden; Shweta Yadav 001; Robert G. Carlson (Comput. Math. Organ. Theory, 2019)

eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection. - Ramnath Kumar; Shweta Yadav 001; Raminta Daniulaityte; Francois R. Lamy; Krishnaprasad Thirunarayan; Usha Lokala; Amit P. Sheth (WWW, 2020)

"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction. - Shweta Yadav 001; Usha Lokala; Raminta Daniulaityte; Krishnaprasad Thirunarayan; Francois R. Lamy; Amit P. Sheth (CoRR, 2020)

"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. - Kaushik Roy 009; Usha Lokala; Vedant Khandelwal; Amit P. Sheth (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. - Goonmeet Bajaj; Ugur Kursuncu; Manas Gaur; Usha Lokala; Ayaz Hyder; Srinivasan Parthasarathy 001; Amit P. Sheth (MedInfo, 2021)

eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. - Usha Lokala; Francois R. Lamy; Triyasha Ghosh Dastidar; Kaushik Roy 009; Raminta Daniulaityte; Srinivasan Parthasarathy 001; Amit P. Sheth (CoRR, 2021)

Tutorial: Neuro-symbolic AI for Mental Healthcare. - Kaushik Roy 009; Usha Lokala; Manas Gaur; Amit P. Sheth (AIMLSystems, 2022)

A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework. - Usha Lokala; Aseem Srivastava; Triyasha Ghosh Dastidar; Tanmoy Chakraborty 002; Md. Shad Akhtar; Maryam Panahiazar; Amit P. Sheth (ICWSM, 2022)

An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics. - Maryam Panahiazar; Yorick Chern; Ramon Riojas; Omar S. Latif; Usha Lokala; Dexter Hadley; Amit P. Sheth; Ramin E. Beygui (MIE, 2022)

A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework. - Usha Lokala; Aseem Srivastava; Triyasha Ghosh Dastidar; Tanmoy Chakraborty 002; Md. Shad Akthar; Maryam Panahiazar; Amit P. Sheth (CoRR, 2022)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb. - Usha Lokala; Orchid Chetia Phukan; Triyasha Ghosh Dastidar; Francois R. Lamy; Raminta Daniulaityte; Amit P. Sheth (CoRR, 2023)