Manas Gaur
Orcid: 0000-0002-5411-2230
According to our database1,
Manas Gaur
authored at least 68 papers
between 2012 and 2024.
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Bibliography
2024
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge.
CoRR, 2024
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024
2023
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement.
Frontiers Artif. Intell., February, 2023
Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy.
IEEE Internet Comput., 2023
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries.
CoRR, 2023
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety.
CoRR, 2023
A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression.
CoRR, 2023
Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models.
CoRR, 2023
IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Advances in Information Retrieval, 2023
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety.
IEEE Internet Comput., 2022
IEEE Internet Comput., 2022
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance.
Frontiers Big Data, 2022
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts.
CoRR, 2022
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety.
CoRR, 2022
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts.
CoRR, 2022
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection.
CoRR, 2022
CoRR, 2022
Proceedings of the Second International Conference on AI-ML Systems, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS.
Dataset, February, 2021
IEEE Internet Comput., 2021
Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable?
IEEE Internet Comput., 2021
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems.
CoRR, 2021
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS.
CoRR, 2021
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021
2020
CoRR, 2020
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data.
CoRR, 2020
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India.
CoRR, 2020
Proceedings of the Social Informatics - 12th International Conference, 2020
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), 2020
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak.
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), 2020
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning.
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate.
Proc. ACM Hum. Comput. Interact., 2019
IEEE Internet Comput., 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019
2018
What's my age?: Predicting Twitter User's Age using Influential Friend Network and DBpedia.
CoRR, 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018
Proceedings of the Joint Proceedings of the International Workshops on Contextualized Knowledge Graphs, 2018
A Collaborative Filtering Recommender System in Primary Care: Towards a Trusting Patient-Doctor Relationship.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2012
Software Security analysis, static and dynamic testing in java and C environment, a comparative study
CoRR, 2012