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Kaushik Roy
标题
引用次数
引用次数
年份
Neurosymbolic Artificial Intelligence (Why, What, and How)
A Sheth, K Roy, M Gaur
IEEE Intelligent Systems 38 (3), 56-62, 2023
1022023
The k-Nearest Neighbor Algorithm using MapReduce Paradigm
PP Anchalia, K Roy
IEEE International Conference on Intelligent Systems, Modelling and …, 2014
792014
Capturing Moments of Change in Longitudinal User Posts
A Tsakalidis, J Chim, IM Bilal, A Zirikly, D Atzil-Slonim, F Nanni, P Resnik, ...
NAACL Workshop on Computational Linguistics and Clinical Psychology, 184-198, 2022
67*2022
Knowledge-intensive Language Understanding for Explainable AI
A Sheth, M Gaur, K Roy, K Faldu
IEEE Internet Computing 25 (5), 19-24, 2021
66*2021
Top Down Language Representation
K Roy, V Rawte, M Chakraborty, M Gaur, K Faldu, P Kikani, H Akbari, ...
NeurIPS Workshop on All Things Attention, 2022
65*2022
Key Frame Extraction and Foreground Modelling using K-means Clustering
A Nasreen, K Roy, K Roy, G Shobha
IEEE International Conference on Computational Intelligence 7, 141-145, 2015
60*2015
Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety
A Sheth, M Gaur, K Roy, R Venkataraman, V Khandelwal
IEEE Internet Computing 26 (5), 76-84, 2022
552022
Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How)
A Sheth, K Roy
IEEE Intelligent Systems 39 (1), 5-11, 2024
48*2024
Learning to Automate Follow-up Question Generation Using Process Knowledge for Depression Triage on Reddit Posts
S Gupta, A Agarwal, M Gaur, K Roy, V Narayanan, P Kumaraguru, ...
NAACL Workshop on Computational Linguistics and Clinical Psychology, 137-147, 2022
412022
Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance
K Roy, M Gaur, M Soltani, V Rawte, A Kalyan, A Sheth
Frontiers in big Data 5, 1056728, 2023
39*2023
On the Prospects of Incorporating Large Language Models in Automated Planning and Scheduling
V Pallagani, K Roy, BC Muppasani, F Fabiano, A Loreggia, K Murugesan, ...
International Conference on Automated Planning and Scheduling 34, 432-444, 2024
382024
Process Knowledge-infused Learning for Clinician-friendly Explanations
K Roy, Y Zi, M Gaur, J Malekar, Q Zhang, V Narayanan, A Sheth
AAAI Symposium on Human Partnership with Medical Artificial Intelligence 1 …, 2023
34*2023
Knowledge Graphs and Semantic Web
Springer Nature, 2021
33*2021
Knowledge-infused Entity and Relation Extraction with Limited Supervision
K Roy, U Lokala, V Khandelwal, A Sheth
AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering, 2021
31*2021
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 Workshop on AI for Public Health, 2021
24*2021
Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case
K Roy, V Khandelwal, R Goswami, N Dolbir, J Malekar, A Sheth
AAAI Conference on Artificial Intelligence 37 (13), 16479-16481, 2023
23*2023
Fitted Q-learning for Relational Reinforcement Learning
S Das, S Natarajan, K Roy, R Parr, K Kersting
Knowledge Representation and Reasoning (KR), 2019
22*2019
Knowledge infused Policy Gradients with Upper Confidence Bound for Relational Bandits
K Roy, Q Zhang, M Gaur, A Sheth
European Conference on Machine Learning and Knowledge Discovery in Databases …, 2021
212021
Design and Implementation of a Dynamic Intelligent Traffic Control System
AG Bhat, K Roy, PP Anchalia, HM Jeevith
IEEE UKSim-AMSS International Conference on Modelling and Simulation 17, 369-373, 2015
21*2015
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data
P Asawa, M Gaur, K Roy, A Sheth
AAAI Fall Symposium on AI for Social Good, 2020
182020
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