| Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open … J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ... The Lancet Oncology 18 (1), 132-142, 2017 | 168 | 2017 |
| Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation A Elangovan, J He, K Verspoor European Chapter of the Association for Computational Linguistics: Main Volume, 2021 | 90 | 2021 |
| Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine R Islamaj Doğan, S Kim, A Chatr-Aryamontri, CH Wei, DC Comeau, ... Database 2019, bay147, 2019 | 55 | 2019 |
| Document triage and relation extraction for protein-protein interactions affected by mutations Q Chen, NC Panyam, A Elangovan, M Davis, K Verspoor Proceedings of the BioCreative VI Workshop 6, 52-1, 2017 | 23 | 2017 |
| Assigning function to protein-protein interactions: a weakly supervised BioBERT based approach using PubMed abstracts A Elangovan, M Davis, K Verspoor arXiv preprint arXiv:2008.08727, 2020 | 10 | 2020 |
| ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models A Elangovan, L Liu, L Xu, S Bodapati, D Roth Annual Meeting of the Association for Computational Linguistics (Volume 1 …, 2024 | 8 | 2024 |
| Network analysis of an in vitro model of androgen-resistance in prostate cancer S Detchokul, A Elangovan, EJ Crampin, MJ Davis, AG Frauman BMC cancer 15, 1-14, 2015 | 7 | 2015 |
| Large-Scale Protein-Protein Post-Translational Modification Extraction With Distant Supervision And Confidence Calibrated BioBERT A Elangovan, Y Li, DEV Pires, MJ Davis, K Verspoor BMC BioInformatics, 2021 | 6 | 2021 |
| Effects of Human Adversarial and Affable Samples on BERT Generalization A Elangovan, J He, Y Li, K Verspoor Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 4* | 2023 |
| BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics Q Chen, NC Panyam, A Elangovan, K Verspoor Database 2018, bay122, 2018 | 4 | 2018 |
| Optimizing i/o for gpu performance tuning of deep learning training in amazon sagemaker A Elangovan AWS Blogs, 2020 | 2 | 2020 |
| Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization L Xu, MA Karim, S Dingliwal, A Elangovan Accepted at EMNLP 2024 Industry Track, 2024 | | 2024 |
| Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge A Elangovan, J Ko, L Xu, M Elyasi, L Liu, S Bodapati, D Roth arXiv preprint arXiv:2410.03775, 2024 | | 2024 |
| Principles from Clinical Research for NLP Model Generalization A Elangovan, J He, Y Li, K Verspoor Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | | 2024 |
| Abstract B1-40: Biological network analysis using an in vitro model of androgen-resistance in prostate cancer S Detchokul, A Elangovan, MJ Davis, G Macintyre, EJ Crampin, ... Cancer Research 75 (22_Supplement_2), B1-40-B1-40, 2015 | | 2015 |
Karin VerspoorExecutive Dean, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
