Impact of reproduction number on the multiwave spreading dynamics of COVID-19 with temporary immunity: A mathematical model von Shayak, B., Sharma, Mohit M., Gaur, Manas, Mishra, Anand Kumar

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Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS von Gaur, Manas, Aribandi, Vamsi, Alambo, Amanuel, Kursuncu, Ugur, Thirunarayan, Krishnaprasad, Beich, Jonathan, Pathak, Jyotishman, Sheth, Amit

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ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance von Roy, Kaushik, Gaur, Manas, Soltani, Misagh, Rawte, Vipula, Kalyan, Ashwin, Sheth, Amit

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A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement von Sarkar, Surjodeep, Gaur, Manas, Chen, Lujie Karen, Garg, Muskan, Srivastava, Biplav

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Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study von Manas, Gaur, Aribandi, Vamsi, Kursuncu, Ugur, Alambo, Amanuel, Shalin, Valerie L, Thirunarayan, Krishnaprasad, Beich, Jonathan, Narasimhan, Meera, Sheth, Amit

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Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable? von Gaur, Manas, Faldu, Keyur, Sheth, Amit, Sheth, Amit

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Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety von Gaur, Manas, Sheth, Amit

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Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study von Lokala, Usha, Lamy, Francois, Daniulaityte, Raminta, Gaur, Manas, Gyrard, Amelie, Thirunarayan, Krishnaprasad, Kursuncu, Ugur, Sheth, Amit

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Knowledge-Intensive Language Understanding for Explainable AI von Sheth, Amit, Gaur, Manas, Roy, Kaushik, Faldu, Keyur, Sheth, Amit

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Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety von Sheth, Amit, Gaur, Manas, Roy, Kaushik, Venkataraman, Revathy, Khandelwal, Vedant, Sheth, Amit

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Neurosymbolic Artificial Intelligence (Why, What, and How) von Sheth, Amit, Roy, Kaushik, Gaur, Manas, Sheth, Amit

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Fish Ontology framework for taxonomy-based fish recognition von Ali, Najib M, Khan, Haris A, Then, Amy Y-Hui, Ving Ching, Chong, Gaur, Manas, Dhillon, Sarinder Kaur

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Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI von Gaur, Manas, Gunaratna, Kalpa, Bhatt, Shreyansh, Sheth, Amit

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Shades of Knowledge-Infused Learning for Enhancing Deep Learning von Sheth, Amit, Gaur, Manas, Kursuncu, Ugur, Wickramarachchi, Ruwan, Sheth, Amit

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Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy von Piplai, Aritran, Kotal, Anantaa, Mohseni, Seyedreza, Gaur, Manas, Mittal, Sudip, Joshi, Anupam, Sheth, Amit

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A Cross Attention Approach to Diagnostic Explainability Using Clinical Practice Guidelines for Depression von Dalal, Sumit, Tilwani, Deepa, Gaur, Manas, Jain, Sarika, Shalin, Valerie L., Sheth, Amit P.

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Performance Evaluation of Machine Learning Techniques using Software Cost Drivers von Gaur, Manas

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Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate von Kursuncu, Ugur, Gaur, Manas, Castillo, Carlos, Alambo, Amanuel, Thirunarayan, Krishnaprasad, Shalin, Valerie, Achilov, Dilshod, Arpinar, I. Budak, Sheth, Amit

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Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection von Sivaraman, Nirmal Kumar, Gaur, Manas, Baijal, Shivansh, Muthiah, Sakthi Balan, Sheth, Amit

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Nature Inspired Algorithms in Remote Sensing Image Classification von Goel, Shruti, Gaur, Manas, Jain, Eshaan

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