default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDManas Gaur
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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)- [c35]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 - [c34]Edlira Vakaj, Nandana Mihindukulasooriya, Manas Gaur, Arijit Khan:
Knowledge Graphs for Responsible AI. CIKM 2024: 5596-5598 - [c33]Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur:
SaGE: Evaluating Moral Consistency in Large Language Models. LREC/COLING 2024: 14272-14284 - [c32]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 - [c31]Abhinav Joshi, Shaswati Saha, Divyaksh Shukla, Sriram Vema, Harsh Jhamtani, Manas Gaur, Ashutosh Modi:
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations. EMNLP (Findings) 2024: 12100-12119 - [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] [c32] [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]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-19 20:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
