| Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media AH Yazdavar, HS Al-Olimat, M Ebrahimi, G Bajaj, T Banerjee, ... | 174* | |
| Multimodal mental health analysis in social media AH Yazdavar, MS Mahdavinejad, G Bajaj, W Romine, A Sheth, ... Plos one 15 (4), e0226248, 2020 | 104 | 2020 |
| Mental health analysis via social media data AH Yazdavar, MS Mahdavinejad, G Bajaj, K Thirunarayan, J Pathak, ... 2018 IEEE International Conference on Healthcare Informatics (ICHI), 459-460, 2018 | 26 | 2018 |
| Network representation learning: Consolidation and renewed bearing S Gurukar, P Vijayan, A Srinivasan, G Bajaj, C Cai, M Keymanesh, ... arXiv preprint arXiv:1905.00987, 2019 | 24 | 2019 |
| Domain-specific use cases for knowledge-enabled social media analysis SJ Kho, S Padhee, G Bajaj, K Thirunarayan, A Sheth Emerging research challenges and opportunities in computational social …, 2019 | 13 | 2019 |
| Ubert: A novel language model for synonymy prediction at scale in the umls metathesaurus T Wijesiriwardene, V Nguyen, G Bajaj, HY Yip, V Javangula, Y Mao, ... arXiv preprint arXiv:2204.12716, 2022 | 8 | 2022 |
| Context-enriched learning models for aligning biomedical vocabularies at scale in the UMLS Metathesaurus V Nguyen, HY Yip, G Bajaj, T Wijesiriwardene, V Javangula, ... Proceedings of the ACM Web Conference 2022, 1037-1046, 2022 | 8 | 2022 |
| Evaluating biomedical word embeddings for vocabulary alignment at scale in the UMLS Metathesaurus using Siamese networks G Bajaj, V Nguyen, T Wijesiriwardene, HY Yip, V Javangula, ... Proceedings of the conference. Association for Computational Linguistics …, 2022 | 6 | 2022 |
| Evaluating biomedical BERT models for vocabulary alignment at scale in the UMLS metathesaurus G Bajaj, V Nguyen, T Wijesiriwardene, HY Yip, V Javangula, ... arXiv preprint arXiv:2109.13348, 2021 | 6 | 2021 |
| Fusing visual, textual and connectivity clues for studying mental health AH Yazdavar, MS Mahdavinejad, G Bajaj, W Romine, A Monadjemi, ... arXiv preprint arXiv:1902.06843, 2019 | 5 | 2019 |
| Understanding knowledge gaps in visual question answering: Implications for gap identification and testing G Bajaj, B Bandyopadhyay, D Schmidt, P Maneriker, C Myers, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 4 | 2020 |
| Knowledge Gaps: A Challenge for Agent‐Based Automatic Task Completion G Bajaj, S Current, D Schmidt, B Bandyopadhyay, CW Myers, ... Topics in Cognitive Science 14 (4), 780-799, 2022 | 3 | 2022 |
| Grounding From an AI and Cognitive Science Lens G Bajaj, VL Shalin, S Parthasarathy, A Sheth IEEE Intelligent Systems 39 (2), 66-71, 2024 | 2 | 2024 |
| Automatic Table completion using Knowledge Base B Bandyopadhyay, X Deng, G Bajaj, H Sun, S Parthasarathy arXiv preprint arXiv:1909.09565, 2019 | 2 | 2019 |
| Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress S Gurukar, P Vijayan, B Ravindran, A Srinivasan, G Bajaj, C Cai, ... | 1 | 2022 |
| Identifying depressive disorder in the twitter population G Bajaj, AH Yazdavar, K Thirunarayan, A Sheth | 1 | 2017 |
| Automatic cross document consolidation and visualization of data tables GK Bajaj, S Parthasarathy, A Sheth, U Kursuncu US Patent App. 18/555,605, 2024 | | 2024 |
| Generating Chunks for Cognitive Architectures G Bajaj, K Pearce, S Kennedy, O Larue, A Hough, J King, C Myers, ... Proceedings of the AAAI Symposium Series 2 (1), 246-252, 2023 | | 2023 |
| Knowledge-Driven Drug-Use Named Entity Recognition with Distant Supervision G Bajaj, U Kursuncu, M Gaur, U Lokala, A Hyder, S Parthasarathy, ... Studies in health technology and informatics 290, 140-144, 2022 | | 2022 |
| Evaluating Deep Learning Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus G Bajaj, V Nguyen, T Wijesiriwardene, HY Yip, V Javangula, ... | | 2022 |
