Byron Wallace
Titel
Zitiert von
Zitiert von
Jahr
A sensitivity analysis of (and practitioners' guide to) convolutional neural networks for sentence classification
Y Zhang, B Wallace
arXiv preprint arXiv:1510.03820, 2015
110842015
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
6432012
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
5042009
Attention is Not Explanation
S Jain, B Wallace
arXiv preprint arXiv:1902.00264, 2019
3952019
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
3072012
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
2432010
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
2222017
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
1672010
Class Imbalance, Redux
BC Wallace, K Small, CE Brodley, TA Trikalinos
Data Mining (ICDM), 2011 IEEE 11th International Conference on, 754-763, 2011
1652011
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
1602016
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
1452017
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
1302015
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
126*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
1192017
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
1152010
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
1052016
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
1042018
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
1032016
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
972017
A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews
BC Wallace, MJ Paul, U Sarkar, TA Trikalinos, M Dredze
Journal of the American Medical Informatics Association 21 (6), 1098-1103, 2014
942014
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