| A sensitivity analysis of (and practitioners' guide to) convolutional neural networks for sentence classification Y Zhang, B Wallace arXiv preprint arXiv:1510.03820, 2015 | 10341 | 2015 |
| Closing the gap between methodologists and end-users: R as a computational back-end BC Wallace, IJ Dahabreh, TA Trikalinos, J Lau, P Trow, CH Schmid J Stat Softw 49 (5), 1-15, 2012 | 595 | 2012 |
| Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data BC Wallace, CH Schmid, J Lau, TA Trikalinos BMC medical research methodology 9 (1), 80, 2009 | 487 | 2009 |
| Attention is Not Explanation S Jain, B Wallace arXiv preprint arXiv:1902.00264, 2019 | 301 | 2019 |
| Deploying an interactive machine learning system in an evidence-based practice center: abstrackr BC Wallace, K Small, CE Brodley, J Lau, TA Trikalinos Proceedings of the 2nd ACM SIGHIT symposium on International health …, 2012 | 283 | 2012 |
| Semi-automated screening of biomedical citations for systematic reviews BC Wallace, TA Trikalinos, J Lau, C Brodley, CH Schmid BMC bioinformatics 11 (1), 55, 2010 | 232 | 2010 |
| Living systematic review: 1. Introduction—the why, what, when, and how JH Elliott, A Synnot, T Turner, M Simmonds, EA Akl, S McDonald, ... Journal of clinical epidemiology 91, 23-30, 2017 | 183 | 2017 |
| The COPD genetic association compendium: a comprehensive online database of COPD genetic associations PJ Castaldi, MH Cho, M Cohn, F Langerman, S Moran, N Tarragona, ... Human molecular genetics 19 (3), 526-534, 2010 | 167 | 2010 |
| Class Imbalance, Redux BC Wallace, K Small, CE Brodley, TA Trikalinos Data Mining (ICDM), 2011 IEEE 11th International Conference on, 754-763, 2011 | 159 | 2011 |
| Modelling context with user embeddings for sarcasm detection in social media S Amir, BC Wallace, H Lyu, PCMJ Silva arXiv preprint arXiv:1607.00976, 2016 | 149 | 2016 |
| Living systematic reviews: 2. Combining human and machine effort J Thomas, A Noel-Storr, I Marshall, B Wallace, S McDonald, ... Journal of clinical epidemiology 91, 31-37, 2017 | 133 | 2017 |
| RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials IJ Marshall, J Kuiper, BC Wallace Journal of the American Medical Informatics Association, 2015 | 122 | 2015 |
| Neural information retrieval: At the end of the early years KD Onal, Y Zhang, IS Altingovde, MM Rahman, P Karagoz, A Braylan, ... Information Retrieval Journal 21 (2), 111-182, 2018 | 113* | 2018 |
| OpenMEE: Intuitive, open‐source software for meta‐analysis in ecology and evolutionary biology BC Wallace, MJ Lajeunesse, G Dietz, IJ Dahabreh, TA Trikalinos, ... Methods in Ecology and Evolution 8 (8), 941-947, 2017 | 110 | 2017 |
| Active learning for biomedical citation screening BC Wallace, K Small, CE Brodley, TA Trikalinos Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 108 | 2010 |
| MGNC-CNN: A simple approach to exploiting multiple word embeddings for sentence classification Y Zhang, S Roller, B Wallace arXiv preprint arXiv:1603.00968, 2016 | 101 | 2016 |
| Machine learning for identifying randomized controlled trials: an evaluation and practitioner's guide IJ Marshall, A Noel‐Storr, J Kuiper, J Thomas, BC Wallace Research synthesis methods 9 (4), 602-614, 2018 | 93 | 2018 |
| Extracting PICO sentences from clinical trial reports using supervised distant supervision BC Wallace, J Kuiper, A Sharma, M Zhu, IJ Marshall The Journal of Machine Learning Research 17 (1), 4572-4596, 2016 | 93 | 2016 |
| Humans require context to infer ironic intent (so computers probably do, too) BC Wallace, L Kertz, E Charniak Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 91 | 2014 |
| Rationale-augmented convolutional neural networks for text classification Y Zhang, I Marshall, BC Wallace Proceedings of the Conference on Empirical Methods in Natural Language …, 2016 | 89 | 2016 |
Thomas TrikalinosHealth Services, Policy & PracticeVerified email at brown.edu
