Amit Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataraman, and Vedant Khandelwal, “Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety”, IEEE Internet Computing-22
Amit Sheth, Manas Gaur, Keyur Faldu, Kaushik Roy “[Knowledge-intensive Language Understanding for Explainable AI”, IEEE Internet Computing-21
Manas Gaur, Keyur Faldu, and Amit Sheth. “Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?.” IEEE Internet Computing, 2021. IEEE Internet Computing-20
Amit Sheth, Manas Gaur, Ugur Kursuncu, Ruwan Wickramarachchi, “Shades of knowledge-infused learning for enhancing deep learning”, IEEE Internet Computing-19
Manas Gaur, Biplav Srivastava, System to Mediate Social Media Platforms Automatically for User Safety, with University of South Carolina
Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin, A System and Method for Dynamic Information Gathering Question Generation for Conversational Information Seeking, with Samsung Research America
Explainable AI
Vipula Rawte, Megha Chakraborty, Kaushik Roy, Manas Gaur, Amit Sheth, “TDLR: Top (Semantic)-Down (Syntactic) Language Representation”, Spotlight talk in NeurIPS Workshop (First Draft) on All Things Attention: Bridging Different Perspectives on Attention
Kaushik Roy, Manas Gaur, Vipula Rawte, Ashwin Kalyan, Amit Sheth, “ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance”. To Appear in Frontiers in Big Data First Draft
Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit Sheth, “Knowledge-Driven Drug-Use Named Entity Recognition with Distant Supervision”, MedInfo-22
Usha Lokala, Manas Gaur, Kaushik Roy, Amit Sheth, “Knowledge infused Natural Language understanding for Public Health, Epidemiology, and Substance Use”, Special Edition on Mining Actionable Insights from Social Networks IJCAI-21
Kaushik Roy, Qi Zhang, Manas Gaur, Amit Sheth, “Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits”, ECML PKDD
Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit Sheth. “Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts” CLPsych NAACL 2022
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, and Amit Sheth. “” Who can help me?”: Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit.” International Conference on Healthcare Informatics, 2021. ICHI Preprint
Manas Gaur, Vamsi Aribandi, Ugur Kursuncu, Amanuel Alambo, Valerie L. Shalin, Krishnaprasad Thirunarayan, Jonathan Beich, Meera Narasimhan, and Amit Sheth. “Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study.” JMIR Mental Health, 2021. JMIR
Arachie, Chidubem*, Manas Gaur *, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes. “Unsupervised Detection of Sub-events in Large Scale Disasters.” 34th AAAI Conference on Artificial Intelligence 2020.
New York City, New York (Acceptance Rate 20%) (* Equal Contribution)AAAI-20.
Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, **Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit Sheth and I. Budak Arpinar. “ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter.” 12th International Conference on Social Informatics (SocInfo20) (**Acceptance Rate 33%). SocInfo20
Kursuncu Ugur, Manas Gaur *, Amit Sheth. “Knowledge infused learning (K-IL): Towards deep incorporation of knowledge in deep learning.” In Proc. AAAI Spring Symposium, Combining Machine Learning and Knowledge Engineering in Practice, Stanford University, California, 2020, (Equal Contribution).AAAI-20-MAKE
Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randon S. Welton and Jyotishman Pathak. “Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention.” The 30th World Wide Web Conference 2019. San Francisco, California WWW-19.
Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin,
Dilshod Achilov, I. Budak Arpinar, and Amit Sheth. “Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate.” 22nd ACM Conference on Computer-Supported
Cooperative Work and Social Computing 2019. Austin, Texas CSCW-19.
Qiwei Han, Inigo Martinez, Mengxin Ji, Manas Gaur; Leid Zejnilovic, “Matchmaking between Patients and Doctors in Primary Care: Toward a Trusting Relationship.” 5th IEEE Data Science and Advanced Analytics Conference, Turin, Italy, 2018 (**Acceptance Rate 18%). IEEE-DSAAMedia Coverage
Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit Sheth, and I. Budak Arpinar. “What’s ur type? Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding.” In Proceedings of International Conference on Web Intelligence, Santiago Chile, 2018 Web-Intelligence-18
Han, Qiwei, IMR Troya, Mengxin Ji, Manas Gaur, and Leid Zejnilovic. “A Collaborative Filtering Recommender
System in Primary Care: Towards a Trusting Patient-Doctor Relationship.” In 6th IEEE International Conference on Healthcare Informatics, NY, USA, 2018. ICHI-2018
Alambo, Amanuel, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman
Pathak, Amit Sheth, “Personalized Prediction of Suicidal Risk for Web-based Intervention.” 24th Mental Health
Services Research Conference, NIMH, Bethesda, Maryland, 2018. NIMH-2018
Gyrard, Amelie, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, and Amit Sheth. “Personalized Health Knowledge Graph”. In 1st Workshop on Contextualized Knowledge Graph (CKG) co-located with International Semantic Web Conference 2018. ISWC-18
Interpretable AI
Kaushik Roy, Manas Gaur, Vipula Rawte, Ashwin Kalyan, Amit Sheth, “ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance”. To Appear in Frontiers in Big Data First Draft
Nirmal Sivaraman, Manas Gaur, Shivansh Baijal, Radha Sai Rupesh Ch V, Sakthi Muthiah and Amit Sheth. “Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection” In Springer Nature Journal of Data Science and Analytics. Springer Nature
Manas Gaur, Keyur Faldu, and Amit Sheth. “Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?.” IEEE Internet Computing, 2021. IEEE Internet Computing
Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, and Hongxia Jin. “ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs.” AAAI 2022 Preprint.
Kursuncu Ugur, Manas Gaur *, Amit Sheth. “Knowledge infused learning (K-IL): Towards deep incorporation of knowledge in deep learning.” In Proc. AAAI Spring Symposium, Combining Machine Learning and Knowledge Engineering in Practice, Stanford University, California, 2020, (Equal Contribution).AAAI-20-MAKE
Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan,and Jyotishman Pathak. “Let Me Tell You About Your Mental Health! Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention.” In Proceedings of the 27th ACM CIKM, Turin Italy, 2018 (**Acceptance Rate 17%) CIKM-18.
Alambo, Amanuel, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit Sheth, “Personalized Prediction of Suicidal Risk for Web-based Intervention.” 24th Mental Health Services Research Conference, NIMH. NIMH-2018
Safe AI
Kaushik Roy, Manas Gaur, Vipula Rawte, Ashwin Kalyan, Amit Sheth, “ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance”. To Appear in Frontiers in Big Data First Draft
Ramit Sawhney, Atula_Tejaswi_Neerkaje, Manas Gaur. “A Risk-Averse Mechanism for Suicidality Assessment on Social Media” ACL 2022
Manas Gaur, Vamsi Aribandi, Ugur Kursuncu, Amanuel Alambo, Valerie L. Shalin, Krishnaprasad Thirunarayan, Jonathan Beich, Meera Narasimhan, and Amit Sheth. “Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study.” JMIR Mental Health, 2021. JMIR
Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, and Hongxia Jin. “ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs.” AAAI 2022 Preprint.
Qiwei Han, Inigo Martinez, Mengxin Ji, Manas Gaur; Leid Zejnilovic, “Matchmaking between Patients and Doctors in Primary Care: Toward a Trusting Relationship.” 5th IEEE Data Science and Advanced Analytics Conference, Turin, Italy, 2018. IEEE-DSAAMedia Coverage
Other Collaborative Research
Shayak, B., Mohit M. Sharma, Manas Gaur, and Anand Kumar Mishra. “Impact of reproduction number on the multiwave spreading dynamics of COVID-19 with temporary immunity: A mathematical model.” International Journal of Infectious Diseases, 2021. Elsevier IJID
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Arpinar B. “Predictive Analysis on Twitter: Techniques and Applications.” In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer-Nature; 2018. Springer Nature
Wijeratne, S., Sheth, A., Bhatt, S., Balasuriya, L., Al-Olimat, H.S., Manas Gaur, Yazdavar, A., and Thirunarayan K., “Feature Engineering for Twitter-based Applications”, In Feature Engineering for Machine Learning and Data Analytics Book: Taylor and Francis; 2017. Taylor&Francis
Shruti Goel, Manas Gaur, and Eshaan Jain. “Nature inspired algorithms in remote sensing image classification.” Procedia Computer Science, 2015. Elsevier
Manas Gaur, Shruti Goel, and Eshaan Jain. “Comparison between Nearest Neighbours and Bayesian Network for demand forecasting in supply chain management.” 2nd IEEE International Conference on Computing for Sustainable Global Development, Delhi, India, 2015. IEEE-Indiacom
Organizing KE4IoT (Healthcare and Internet of Things) Challenge at WWW-2018. Organizing Committee: Amelie Gyrard, Mihaela Juganaru-Mathieu, Amit Sheth, Swati Padhee. WWW-2018-Challenge
Assessing changes in a person’s mood over time on the basis of their linguistic content. CLPsych Workshop @ NAACL 2022
