| A sensitivity analysis of (and practitioners' guide to) convolutional neural networks for sentence classification Y Zhang, B Wallace arXiv preprint arXiv:1510.03820, 2015 | 20233 | 2015 |
| Attention is Not Explanation S Jain, B Wallace arXiv preprint arXiv:1902.00264, 2019 | 1510 | 2019 |
| 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 Journal of statistical software 49, 1-15, 2012 | 1111 | 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 | 654 | 2009 |
| 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 | 647 | 2012 |
| ERASER: A benchmark to evaluate rationalized NLP models J DeYoung, S Jain, NF Rajani, E Lehman, C Xiong, R Socher, ... arXiv preprint arXiv:1911.03429, 2019 | 621 | 2019 |
| 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 | 589 | 2017 |
| Toward systematic review automation: a practical guide to using machine learning tools in research synthesis IJ Marshall, BC Wallace Systematic reviews 8, 1-10, 2019 | 436 | 2019 |
| 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 | 393 | 2010 |
| 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 | 365 | 2017 |
| 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 | 323 | 2017 |
| 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 | 315 | 2018 |
| 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 | 309 | 2016 |
| 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 | 279 | 2015 |
| Class Imbalance, Redux BC Wallace, K Small, CE Brodley, TA Trikalinos Data Mining (ICDM), 2011 IEEE 11th International Conference on, 754-763, 2011 | 263 | 2011 |
| Living systematic reviews: 4. Living guideline recommendations EA Akl, JJ Meerpohl, J Elliott, LA Kahale, HJ Schünemann, T Agoritsas, ... Journal of clinical epidemiology 91, 47-53, 2017 | 261 | 2017 |
| A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature B Nye, JJ Li, R Patel, Y Yang, IJ Marshall, A Nenkova, BC Wallace Proceedings of the conference. Association for Computational Linguistics …, 2018 | 259 | 2018 |
| 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, 111-182, 2018 | 214* | 2018 |
| Active Discriminative Text Representation Learning. Y Zhang, M Lease, BC Wallace AAAI, 3386-3392, 2017 | 197 | 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 | 192 | 2010 |
Iain MarshallKing's College LondonVerified email at kcl.ac.uk
