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2020 – today
- 2024
[j12]Manas Gaur
, Amit P. Sheth:
Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety. AI Mag. 45(1): 139-155 (2024)- [c33]Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur:
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. AAAI Spring Symposia 2024: 219-226 - [c32]Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur:
SaGE: Evaluating Moral Consistency in Large Language Models. LREC/COLING 2024: 14272-14284 - [c31]Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur:
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. COMAD/CODS 2024: 592-594 - [c30]Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy:
KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs). KDD 2024: 6712-6713 - [i51]Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi:
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. CoRR abs/2401.10036 (2024) - [i50]Vamshi Krishna Bonagiri, Sreeram Vennam, Manas Gaur, Ponnurangam Kumaraguru:
Measuring Moral Inconsistencies in Large Language Models. CoRR abs/2402.01719 (2024) - [i49]Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur:
SaGE: Evaluating Moral Consistency in Large Language Models. CoRR abs/2402.13709 (2024) - [i48]Priyanshul Govil, Vamshi Krishna Bonagiri, Manas Gaur, Ponnurangam Kumaraguru, Sanorita Dey:
COBIAS: Contextual Reliability in Bias Assessment. CoRR abs/2402.14889 (2024) - [i47]Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur:
REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. CoRR abs/2405.02228 (2024) - [i46]Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur:
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions. CoRR abs/2406.12058 (2024) - [i45]Amelie Gyrard, Seyedali Mohammadi, Manas Gaur, Antonio Kung:
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being. CoRR abs/2406.13791 (2024) - [i44]Nilanjana Das, Edward Raff, Manas Gaur:
Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context. CoRR abs/2407.14644 (2024) - [i43]Atmika Gorti, Manas Gaur, Aman Chadha:
Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data. CoRR abs/2408.11247 (2024) - 2023
- [j11]Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 38(3): 56-62 (2023) - [j10]Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava:
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement. Frontiers Artif. Intell. 6 (2023) - [j9]Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi:
Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy. IEEE Internet Comput. 27(5): 43-48 (2023) - [c29]Manas Gaur:
Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe. AAAI 2023: 15438 - [c28]Nancy Tyagi, Surjodeep Sarkar, Manas Gaur:
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. CIKM 2023: 4320-4324 - [c27]Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru:
Towards Effective Paraphrasing for Information Disguise. ECIR (2) 2023: 331-340 - [c26]Manas Gaur, Efthymia Tsamoura, Sarath Sreedharan, Sudip Mittal:
KiL 2023 : 3rd International Workshop on Knowledge-infused Learning. KDD 2023: 5857-5858 - [c25]Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn:
LoST: A Mental Health Dataset of Low Self-Esteem in Reddit Posts. SMC 2023: 3854-3859 - [i42]Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava, Bhaktee Dongaonkar:
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey. CoRR abs/2304.13191 (2023) - [i41]Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic AI - Why, What, and How. CoRR abs/2305.00813 (2023) - [i40]Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth:
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance. CoRR abs/2305.08010 (2023) - [i39]Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn:
LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts. CoRR abs/2306.05596 (2023) - [i38]Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth:
Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR abs/2306.09824 (2023) - [i37]Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
Knowledge-Infused Self Attention Transformers. CoRR abs/2306.13501 (2023) - [i36]Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR abs/2306.13865 (2023) - [i35]Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi:
Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy. CoRR abs/2308.02031 (2023) - [i34]Nancy Tyagi, Aidin Shiri, Surjodeep Sarkar, Abhishek Kumar Umrawal, Manas Gaur:
Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models. CoRR abs/2308.12272 (2023) - [i33]Nancy Tyagi, Surjodeep Sarkar, Manas Gaur:
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. CoRR abs/2308.13467 (2023) - [i32]Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru:
Towards Effective Paraphrasing for Information Disguise. CoRR abs/2311.05018 (2023) - [i31]Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur:
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models. CoRR abs/2311.06493 (2023) - [i30]Sumit Dalal, Deepa Tilwani, Manas Gaur, Sarika Jain, Valerie L. Shalin, Amit P. Sheth:
A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression. CoRR abs/2311.13852 (2023) - [i29]Manas Gaur, Amit P. Sheth:
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety. CoRR abs/2312.06798 (2023) - [i28]Kanak Raj, Kaushik Roy, Manas Gaur:
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. CoRR abs/2312.17748 (2023) - 2022
- [j8]Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth:
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data 5 (2022) - [j7]Joseph Reagle, Manas Gaur:
Spinning words as disguise: Shady services for ethical research? First Monday 27(1) (2022) - [j6]Manas Gaur, Kalpa Gunaratna, Shreyansh P. Bhatt, Amit P. Sheth:
Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI. IEEE Internet Comput. 26(4): 5-11 (2022) - [j5]Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal:
Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. IEEE Internet Comput. 26(5): 76-84 (2022) - [c24]Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin:
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs. AAAI 2022: 10672-10680 - [c23]Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur:
A Risk-Averse Mechanism for Suicidality Assessment on Social Media. ACL (2) 2022: 628-635 - [c22]Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth:
Tutorial: Neuro-symbolic AI for Mental Healthcare. AIMLSystems 2022: 28:1-28:3 - [i27]Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth:
Process Knowledge-infused Learning for Suicidality Assessment on Social Media. CoRR abs/2204.12560 (2022) - [i26]Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit P. Sheth:
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection. CoRR abs/2205.01325 (2022) - [i25]Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth:
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR abs/2205.13884 (2022) - [i24]Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal:
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. CoRR abs/2206.13349 (2022) - [i23]Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR abs/2210.04307 (2022) - 2021
- [j4]Manas Gaur, Keyur Faldu, Amit P. Sheth:
Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable? IEEE Internet Comput. 25(1): 51-59 (2021) - [j3]Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-Intensive Language Understanding for Explainable AI. IEEE Internet Comput. 25(5): 19-24 (2021) - [c21]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c20]Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI 2021: 265-269 - [c19]Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth:
Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. MedInfo 2021: 140-144 - [c18]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. ECML/PKDD (1) 2021: 35-50 - [d1]Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth:
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. Zenodo, 2021
- [i22]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. CoRR abs/2102.06245 (2021) - [i21]Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth:
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. CoRR abs/2104.04140 (2021) - [i20]Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. CoRR abs/2105.06398 (2021) - [i19]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. CoRR abs/2106.13895 (2021) - [i18]Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-intensive Language Understanding for Explainable AI. CoRR abs/2108.01174 (2021) - [i17]Keyur Faldu, Amit P. Sheth, Prashant Kikani, Manas Gaur, Aditi Avasthi:
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems. CoRR abs/2111.05364 (2021) - [i16]Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin:
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs. CoRR abs/2112.07622 (2021) - 2020
- [c17]Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes:
Unsupervised Detection of Sub-Events in Large Scale Disasters. AAAI 2020: 354-361 - [c16]Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth:
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. AI4SG@AAAI Fall Symposium 2020 - [c15]Ugur Kursuncu, Manas Gaur, Amit P. Sheth:
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020 - [c14]Manas Gaur, Ugur Kursuncu, Amit P. Sheth, Ruwan Wickramarachchi, Shweta Yadav:
Knowledge-infused Deep Learning. HT 2020: 309-310 - [c13]Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan:
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak. KiML@KDD 2020: 17-22 - [c12]B. Shayak, Mohit M. Sharma, Manas Gaur:
A New Delay Differential Equation Model for COVID-19. KiML@KDD 2020: 30-34 - [c11]Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
ALONE: A Dataset for Toxic Behavior Among Adolescents on Twitter. SocInfo 2020: 427-439 - [e1]Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava:
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. CEUR Workshop Proceedings 2657, CEUR-WS.org 2020 [contents] - [i15]Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan:
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak. CoRR abs/2007.15209 (2020) - [i14]Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Ch V. Radha Sai Rupesh, Sakthi Balan Muthiah, Amit P. Sheth:
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India. CoRR abs/2008.06335 (2020) - [i13]Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter. CoRR abs/2008.06465 (2020) - [i12]Manas Gaur, Keyur Faldu, Amit P. Sheth:
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? CoRR abs/2010.08660 (2020) - [i11]Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth:
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. CoRR abs/2010.14628 (2020) - [i10]Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak:
Comparing Suicide Risk Insights derived from Clinical and Social Media data. CoRR abs/2012.11393 (2020)
2010 – 2019
- 2019
- [j2]Amit P. Sheth, Manas Gaur, Ugur Kursuncu, Ruwan Wickramarachchi:
Shades of Knowledge-Infused Learning for Enhancing Deep Learning. IEEE Internet Comput. 23(6): 54-63 (2019) - [j1]Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth:
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. Proc. ACM Hum. Comput. Interact. 3(CSCW): 151:1-151:22 (2019) - [c10]Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit P. Sheth:
Empathi: An Ontology for Emergency Managing and Planning About Hazard Crisis. ICSC 2019: 396-403 - [c9]Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit P. Sheth, Randon S. Welton, Jyotishman Pathak:
Question Answering for Suicide Risk Assessment Using Reddit. ICSC 2019: 468-473 - [c8]Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak:
Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. WWW 2019: 514-525 - [i9]Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth:
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. CoRR abs/1908.06520 (2019) - [i8]Ugur Kursuncu, Manas Gaur, Amit P. Sheth:
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. CoRR abs/1912.00512 (2019) - [i7]Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes:
Unsupervised Detection of Sub-events in Large Scale Disasters. CoRR abs/1912.13332 (2019) - 2018
- [c7]Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit P. Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak:
"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. CIKM 2018: 753-762 - [c6]Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic:
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. DSAA 2018: 481-490 - [c5]Qiwei Han, Inigo Martinez de Rituerto de Troya, Mengxin Ji, Manas Gaur, Leid Zejnilovic:
A Collaborative Filtering Recommender System in Primary Care: Towards a Trusting Patient-Doctor Relationship. ICHI 2018: 377-379 - [c4]Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Saeedeh Shekarpour:
Personalized Health Knowledge Graph. CKGSemStats@ISWC 2018 - [c3]Shreyansh P. Bhatt, Manas Gaur, Beth Bullemer, Valerie L. Shalin, Amit P. Sheth, Brandon S. Minnery:
Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media. WI 2018: 293-300 - [c2]Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar:
What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding. WI 2018: 474-479 - [c1]Amelie Gyrard, Manas Gaur, Swati Padhee, Amit P. Sheth, Mihaela Juganaru-Mathieu:
Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. WWW (Companion Volume) 2018: 1935-1936 - [i6]Alan Smith, Manas Gaur:
What's my age?: Predicting Twitter User's Age using Influential Friend Network and DBpedia. CoRR abs/1804.03362 (2018) - [i5]Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
Predictive Analysis on Twitter: Techniques and Applications. CoRR abs/1806.02377 (2018) - [i4]Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar:
"What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding. CoRR abs/1806.06813 (2018) - [i3]Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic:
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. CoRR abs/1808.03265 (2018) - [i2]Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit P. Sheth:
empathi: An ontology for Emergency Managing and Planning about Hazard Crisis. CoRR abs/1810.12510 (2018) - 2012
- [i1]Manas Gaur:
Software Security analysis, static and dynamic testing in java and C environment, a comparative study. CoRR abs/1208.3205 (2012)
Coauthor Index
[j12] [c31] [i47] [j11] [i41] [i40] [i38] [i37] [i36] [i31] [i30] [i29] [j8] [j6] [j5] [c22] [i27] [i26] [i25] [i24] [i23] [j4] [j3] [c21] [c20] [c19] [c18] [d1] [i22] [i21] [i20] [i19] [i18] [i17] [c16] [c15] [c14] [c11] [e1] [i14] [i13] [i12] [i11] [i10] [j2] [j1] [c10] [c9] [c8] [i9] [i8] [c7] [c4] [c3] [c2] [c1] [i5] [i4] [i2]
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