Usha Lokala

According to our database, Usha Lokala authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework.

Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akthar, Maryam Panahiazar, Amit P. Sheth

CoRR, 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

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework.

Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit P. Sheth

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Tutorial: Neuro-symbolic AI for Mental Healthcare.

Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth

Proceedings of the Second International Conference on AI-ML Systems, 2022

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, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth

CoRR, 2021

Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision.

Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision.

Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020

"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction.

Shweta Yadav, Usha Lokala, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Francois R. Lamy, Amit P. Sheth

CoRR, 2020

eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection.

Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte, Francois R. Lamy, Krishnaprasad Thirunarayan, Usha Lokala, Amit P. Sheth

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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, Robert G. Carlson

Comput. Math. Organ. Theory, 2019

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

Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

2018

Predictive Analysis on Twitter: Techniques and Applications.

Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar

CoRR, 2018

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

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018