Manas Gaur - RankMe

131 papers A* 8A 3B 5Journal 84Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Memorization: Testing LLM Reasoning on Unseen Theory of Computation Tasks. CoRR Shlok Shelat, Jay Raval, Souvik Roy, Manas Gaur
2026	—	`conf`	IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation. EACL (Findings) Yash Saxena, Ankur Padia, Kalpa Gunaratna, Manas Gaur
2026	J	`jnl`	IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation. CoRR Yash Saxena, Ankur Padia, Kalpa Gunaratna, Manas Gaur
2026	J	`jnl`	Neurosymbolic Retrievers for Retrieval-Augmented Generation. IEEE Intell. Syst. Yash Saxena, Manas Gaur
2026	J	`jnl`	Neurosymbolic Retrievers for Retrieval-augmented Generation. CoRR Yash Saxena, Manas Gaur
2025	—	`conf`	(CPER) From Guessing to Asking: An Approach to Resolving Persona Knowledge Gap in LLMs during Multi-Turn Conversations. NAACL (Student Research Workshop) Sarvesh Baskar, Manas Gaur, Srinivasan Parthasarathy, Tanmay Tulsidas Verlekar
2025	J	`jnl`	A Cross Attention Approach to Diagnostic Explainability Using Clinical Practice Guidelines for Depression. IEEE J. Biomed. Health Informatics Sumit Dalal, Deepa Tilwani, Manas Gaur, Sarika Jain, Valerie L. Shalin, Amit P. Sheth
2025	—	`conf`	COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models. WebSci Priyanshul Govil, Hemang Jain, Vamshi Bonagiri, Aman Chadha, Ponnurangam Kumaraguru, Manas Gaur, Sanorita Dey
2025	A*	`conf`	Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation. AAAI Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ketu Ndawula, Sriram Vema, Edward Raff, Manas Gaur
2025	A*	`conf`	Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions. EMNLP Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba, Edward Raff, Ponnurangam Kumaraguru, Francis Ferraro, Manas Gaur
2025	J	`jnl`	Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions. CoRR Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba, Edward Raff, Ponnurangam Kumaraguru, Francis Ferraro, Manas Gaur
2025	J	`jnl`	Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection. Int. J. Data Sci. Anal. Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit P. Sheth
2025	J	`jnl`	From Guessing to Asking: An Approach to Resolving the Persona Knowledge Gap in LLMs during Multi-Turn Conversations. CoRR Sarvesh Baskar, Tanmay Tulsidas Verelakar, Srinivasan Parthasarathy, Manas Gaur
2025	J	`jnl`	Generation-Time vs. Post-hoc Citation: A Holistic Evaluation of LLM Attribution. CoRR Yash Saxena, Raviteja Bommireddy, Ankur Padia, Manas Gaur
2025	J	`jnl`	If Pigs Could Fly... Can LLMs Logically Reason Through Counterfactuals? CoRR Ishwar B. Balappanawar, Vamshi Krishna Bonagiri, Anish Joishy, Manas Gaur, Krishnaprasad Thirunarayan, Ponnurangam Kumaraguru
2025	J	`jnl`	Introduction to the Special Issue on Large Language Models, Conversational Systems, and Generative AI in Health - Part 1. ACM Trans. Comput. Heal. Jiayu Zhou, Manas Gaur, Amir M. Rahmani, Sharath Chandra Guntuku, Xiaofan Fred Jiang, Tristan Naumann
2025	—	`conf`	Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA. SEMANTiCS (Posters, Demos, Workshops & Tutorials) Naveen Lamba, Sanju Tiwari, Manas Gaur
2025	J	`jnl`	Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA. CoRR Naveen Lamba, Sanju Tiwari, Manas Gaur
2025	J	`jnl`	MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses Using Large Language Models. ACM Trans. Comput. Heal. Subash Neupane, Shaswata Mitra, Sudip Mittal, Manas Gaur, Noorbakhsh Amiri Golilarz, Shahram Rahimi, Amin Amirlatifi
2025	J	`jnl`	Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives. CoRR Batool Haider, Atmika Gorti, Aman Chadha, Manas Gaur
2025	—	`ed.`	Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, August 26, 2024. KiL@KDD Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
2025	J	`jnl`	Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains. CoRR Yash Saxena, Ankur Padia, Mandar S. Chaudhary, Kalpa Gunaratna, Srinivasan Parthasarathy, Manas Gaur
2025	—	`conf`	Side Effects of Erasing Concepts from Diffusion Models. EMNLP (Findings) Shaswati Saha, Sourajit Saha, Manas Gaur, Tejas Gokhale
2025	J	`jnl`	Side Effects of Erasing Concepts from Diffusion Models. CoRR Shaswati Saha, Sourajit Saha, Manas Gaur, Tejas Gokhale
2025	—	`conf`	SymLoc: Symbolic Localization of Hallucination across HaluEval and TruthfulQA. CODS Naveen Lamba, Sanju Tiwari, Manas Gaur
2025	J	`jnl`	SymLoc: Symbolic Localization of Hallucination across HaluEval and TruthfulQA. CoRR Naveen Lamba, Sanju Tiwari, Manas Gaur
2024	B	`conf`	A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19. IEEE Big Data Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie L. Shalin, Amit P. Sheth
2024	J	`jnl`	A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19. CoRR Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie L. Shalin, Amit P. Sheth
2024	J	`jnl`	Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety. AI Mag. Manas Gaur, Amit P. Sheth
2024	J	`jnl`	COBIAS: Contextual Reliability in Bias Assessment. CoRR Priyanshul Govil, Vamshi Krishna Bonagiri, Manas Gaur, Ponnurangam Kumaraguru, Sanorita Dey
2024	J	`jnl`	Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation. CoRR Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ndawula, Sriram Vema, Edward Raff, Manas Gaur
2024	J	`jnl`	Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context. CoRR Nilanjana Das, Edward Raff, Manas Gaur
2024	J	`jnl`	Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context. CoRR Nilanjana Das, Edward Raff, Manas Gaur
2024	J	`jnl`	IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being. CoRR Amelie Gyrard, Seyedali Mohammadi, Manas Gaur, Antonio Kung
2024	—	`conf`	K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. AAAI Spring Symposia Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur
2024	A*	`conf`	KiL 2024: 4th International Workshop on Knowledge-infused Learning KDD Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
2024	A	`conf`	Knowledge Graphs for Responsible AI. CIKM Edlira Vakaj, Nandana Mihindukulasooriya, Manas Gaur, Arijit Khan
2024	—	`conf`	L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. COMAD/CODS Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
2024	J	`jnl`	LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. CoRR Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi
2024	—	`conf`	LocalIntel: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. FPS (2) Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi
2024	J	`jnl`	Measuring Moral Inconsistencies in Large Language Models. CoRR Vamshi Krishna Bonagiri, Sreeram Vennam, Manas Gaur, Ponnurangam Kumaraguru
2024	J	`jnl`	REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. CoRR Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur
2024	—	`conf`	SaGE: Evaluating Moral Consistency in Large Language Models. LREC/COLING Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur
2024	J	`jnl`	SaGE: Evaluating Moral Consistency in Large Language Models. CoRR Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur
2024	—	`conf`	Towards Robust Evaluation of Unlearning in LLMs via Data Transformations. EMNLP (Findings) Abhinav Joshi, Shaswati Saha, Divyaksh Shukla, Sriram Vema, Harsh Jhamtani, Manas Gaur, Ashutosh Modi
2024	J	`jnl`	Towards Robust Evaluation of Unlearning in LLMs via Data Transformations. CoRR Abhinav Joshi, Shaswati Saha, Divyaksh Shukla, Sriram Vema, Harsh Jhamtani, Manas Gaur, Ashutosh Modi
2024	J	`jnl`	Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data. CoRR Atmika Gorti, Manas Gaur, Aman Chadha
2024	J	`jnl`	WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions. CoRR Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur
2023	J	`jnl`	A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression. CoRR Sumit Dalal, Deepa Tilwani, Manas Gaur, Sarika Jain, Valerie L. Shalin, Amit P. Sheth
2023	J	`jnl`	A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement. Frontiers Artif. Intell. Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava
2023	J	`jnl`	Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety. CoRR Manas Gaur, Amit P. Sheth
2023	J	`jnl`	IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
2023	J	`jnl`	K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. CoRR Kanak Raj, Kaushik Roy, Manas Gaur
2023	A*	`conf`	KiL 2023 : 3rd International Workshop on Knowledge-infused Learning. KDD Manas Gaur, Efthymia Tsamoura, Sarath Sreedharan, Sudip Mittal
2023	J	`jnl`	Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy. IEEE Internet Comput. Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi
2023	J	`jnl`	Knowledge-Infused Self Attention Transformers. CoRR Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
2023	J	`jnl`	Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy. CoRR Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi
2023	J	`jnl`	L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models. CoRR Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
2023	J	`jnl`	LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts. CoRR Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn
2023	A	`conf`	Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. CIKM Nancy Tyagi, Surjodeep Sarkar, Manas Gaur
2023	J	`jnl`	Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. CoRR Nancy Tyagi, Surjodeep Sarkar, Manas Gaur
2023	B	`conf`	LoST: A Mental Health Dataset of Low Self-Esteem in Reddit Posts. SMC Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn
2023	J	`jnl`	Neurosymbolic AI - Why, What, and How. CoRR Amit P. Sheth, Kaushik Roy, Manas Gaur
2023	J	`jnl`	Neurosymbolic Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. Amit P. Sheth, Kaushik Roy, Manas Gaur
2023	J	`jnl`	ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance. CoRR Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
2023	J	`jnl`	Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth
2023	J	`jnl`	Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models. CoRR Nancy Tyagi, Aidin Shiri, Surjodeep Sarkar, Abhishek Kumar Umrawal, Manas Gaur
2023	A*	`conf`	Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe. AAAI Manas Gaur
2023	—	`conf`	Towards Effective Paraphrasing for Information Disguise. ECIR (2) Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru
2023	J	`jnl`	Towards Effective Paraphrasing for Information Disguise. CoRR Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru
2023	J	`jnl`	Towards Explainable and Safe Conversational Agents for Mental Health: A Survey. CoRR Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava, Bhaktee Dongaonkar
2022	—	`conf`	A Risk-Averse Mechanism for Suicidality Assessment on Social Media. ACL (2) Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur
2022	J	`jnl`	Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection. CoRR Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit P. Sheth
2022	A*	`conf`	ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs. AAAI Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
2022	J	`jnl`	KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
2022	J	`jnl`	Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI. IEEE Internet Comput. Manas Gaur, Kalpa Gunaratna, Shreyansh P. Bhatt, Amit P. Sheth
2022	J	`jnl`	Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth
2022	J	`jnl`	ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
2022	J	`jnl`	Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. IEEE Internet Comput. Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
2022	J	`jnl`	Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. CoRR Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
2022	J	`jnl`	Process Knowledge-infused Learning for Suicidality Assessment on Social Media. CoRR Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth
2022	J	`jnl`	Spinning words as disguise: Shady services for ethical research? First Monday Joseph Reagle, Manas Gaur
2022	—	`conf`	Tutorial: Neuro-symbolic AI for Mental Healthcare. AIMLSystems Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth
2021	—	`conf`	"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
2021	J	`jnl`	"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. CoRR Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
2021	J	`jnl`	Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. CoRR Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth
2021	J	`jnl`	ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs. CoRR Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
2021	—	`conf`	Knowledge Infused Policy Gradients for Adaptive Pandemic Control. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
2021	J	`jnl`	Knowledge Infused Policy Gradients for Adaptive Pandemic Control. CoRR Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
2021	—	`conf`	Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. ECML/PKDD (1) Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
2021	J	`jnl`	Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. CoRR Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
2021	—	`conf`	Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. MedInfo Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth
2021	J	`jnl`	Knowledge-Intensive Language Understanding for Explainable AI. IEEE Internet Comput. Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
2021	J	`jnl`	Knowledge-intensive Language Understanding for Explainable AI. CoRR Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
2021	J	`jnl`	Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable? IEEE Internet Comput. Manas Gaur, Keyur Faldu, Amit P. Sheth
2021	J	`jnl`	Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems. CoRR Keyur Faldu, Amit P. Sheth, Prashant Kikani, Manas Gaur, Aditi Avasthi
2020	—	`conf`	A New Delay Differential Equation Model for COVID-19. KiML@KDD B. Shayak, Mohit Manoj Sharma, Manas Gaur
2020	—	`conf`	ALONE: A Dataset for Toxic Behavior Among Adolescents on Twitter. SocInfo Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar
2020	J	`jnl`	ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter. CoRR Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar
2020	—	`conf`	COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. AI4SG@AAAI Fall Symposium Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth
2020	J	`jnl`	COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. CoRR Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth
2020	J	`jnl`	Comparing Suicide Risk Insights derived from Clinical and Social Media data. CoRR Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak
2020	—	`conf`	Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak. KiML@KDD Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan
2020	J	`jnl`	Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak. CoRR Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan
2020	J	`jnl`	Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India. CoRR Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Ch V. Radha Sai Rupesh, Sakthi Balan Muthiah, Amit P. Sheth
2020	—	`conf`	Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) Ugur Kursuncu, Manas Gaur, Amit P. Sheth
2020	—	`conf`	Knowledge-infused Deep Learning. HT Manas Gaur, Ugur Kursuncu, Amit P. Sheth, Ruwan Wickramarachchi, Shweta Yadav
2020	—	`ed.`	Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), San Diego, California, USA, August 24, 2020. KiML@KDD Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava
2020	J	`jnl`	Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? CoRR Manas Gaur, Keyur Faldu, Amit P. Sheth
2020	A*	`conf`	Unsupervised Detection of Sub-Events in Large Scale Disasters. AAAI Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes
2019	—	`conf`	Empathi: An Ontology for Emergency Managing and Planning About Hazard Crisis. ICSC Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit P. Sheth
2019	J	`jnl`	Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. CoRR Ugur Kursuncu, Manas Gaur, Amit P. Sheth
2019	A*	`conf`	Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. WWW Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak
2019	J	`jnl`	Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. CoRR Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth
2019	J	`jnl`	Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. Proc. ACM Hum. Comput. Interact. Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth
2019	—	`conf`	Question Answering for Suicide Risk Assessment Using Reddit. ICSC Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit P. Sheth, Randon S. Welton, Jyotishman Pathak
2019	J	`jnl`	Shades of Knowledge-Infused Learning for Enhancing Deep Learning. IEEE Internet Comput. Amit P. Sheth, Manas Gaur, Ugur Kursuncu, Ruwan Wickramarachchi
2019	J	`jnl`	Unsupervised Detection of Sub-events in Large Scale Disasters. CoRR Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes
2018	A	`conf`	"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. CIKM Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit P. Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak
2018	J	`jnl`	"What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding. CoRR Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar
2018	—	`conf`	A Collaborative Filtering Recommender System in Primary Care: Towards a Trusting Patient-Doctor Relationship. ICHI Qiwei Han, Inigo Martinez de Rituerto de Troya, Mengxin Ji, Manas Gaur, Leid Zejnilovic
2018	B	`conf`	A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. DSAA Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic
2018	J	`jnl`	A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. CoRR Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic
2018	B	`conf`	Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media. WI Shreyansh P. Bhatt, Manas Gaur, Beth Bullemer, Valerie L. Shalin, Amit P. Sheth, Brandon S. Minnery
2018	—	`conf`	Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. WWW (Companion Volume) Amelie Gyrard, Manas Gaur, Swati Padhee, Amit P. Sheth, Mihaela Juganaru-Mathieu
2018	—	`conf`	Personalized Health Knowledge Graph. CKGSemStats@ISWC Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Saeedeh Shekarpour
2018	J	`jnl`	Predictive Analysis on Twitter: Techniques and Applications. CoRR Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar
2018	J	`jnl`	What's my age?: Predicting Twitter User's Age using Influential Friend Network and DBpedia. CoRR Alan Smith, Manas Gaur
2018	B	`conf`	What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding. WI Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar
2018	J	`jnl`	empathi: An ontology for Emergency Managing and Planning about Hazard Crisis. CoRR Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit P. Sheth
2012	J	`jnl`	Software Security analysis, static and dynamic testing in java and C environment, a comparative study CoRR Manas Gaur