| Real-time correlation-based stereo vision with reduced border errors H Hirschmüller, PR Innocent, J Garibaldi International Journal of Computer Vision 47 (1), 229-246, 2002 | 628 | 2002 |
| Can machine-learning improve cardiovascular risk prediction using routine clinical data? SF Weng, J Reps, J Kai, JM Garibaldi, N Qureshi PloS one 12 (4), e0174944, 2017 | 477 | 2017 |
| Global histone modifications in breast cancer correlate with tumor phenotypes, prognostic factors, and patient outcome SE Elsheikh, AR Green, EA Rakha, DG Powe, RA Ahmed, HM Collins, ... Cancer research 69 (9), 3802-3809, 2009 | 394 | 2009 |
| Root gravitropism is regulated by a transient lateral auxin gradient controlled by a tipping-point mechanism LR Band, DM Wells, A Larrieu, J Sun, AM Middleton, AP French, ... Proceedings of the National Academy of Sciences 109 (12), 4668-4673, 2012 | 263 | 2012 |
| Umbilical cord blood gas analysis at delivery: a time for quality data J Westgate, JM Garibaldi, KR Greene BJOG: An International Journal of Obstetrics & Gynaecology 101 (12), 1054-1063, 1994 | 243 | 1994 |
| Receiver operating characteristic analysis for intelligent medical systems-a new approach for finding confidence intervals JB Tilbury, WJ Van Eetvelt, JM Garibaldi, JSH Curnsw, EC Ifeachor IEEE Transactions on Biomedical Engineering 47 (7), 952-963, 2000 | 174 | 2000 |
| A multicentre comparative study of 17 experts and an intelligent computer system for managing labour using the cardiotocogram RDF Keith, S Beckley, JM Garibaldi, JA Westgate, EC Ifeachor, ... BJOG: an international journal of obstetrics & gynaecology 102 (9), 688-700, 1995 | 170 | 1995 |
| Parameter estimation using metaheuristics in systems biology: a comprehensive review J Sun, JM Garibaldi, C Hodgman IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (1), 185-202, 2011 | 155 | 2011 |
| Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers SM Zhou, F Chiclana, RI John, JM Garibaldi Fuzzy Sets and Systems 159 (24), 3281-3296, 2008 | 155 | 2008 |
| Fuzzy multiple heuristic orderings for examination timetabling H Asmuni, EK Burke, JM Garibaldi, B McCollum International Conference on the Practice and Theory of Automated Timetabling …, 2004 | 147 | 2004 |
| Uncertain fuzzy reasoning: a case study in modelling expert decision making JM Garibaldi, T Ozen IEEE Transactions on Fuzzy Systems 15 (1), 16-30, 2007 | 122 | 2007 |
| Multi-robot search and rescue: A potential field based approach JL Baxter, EK Burke, JM Garibaldi, M Norman Autonomous robots and agents, 9-16, 2007 | 121 | 2007 |
| Fast, unconstrained camera motion estimation from stereo without tracking and robust statistics H Hirschmuller, PR Innocent, JM Garibaldi 7th International Conference on Control, Automation, Robotics and Vision …, 2002 | 119 | 2002 |
| A multi-agent infrastructure and a service level agreement negotiation protocol for robust scheduling in grid computing D Ouelhadj, J Garibaldi, J MacLaren, R Sakellariou, K Krishnakumar European Grid Conference, 651-660, 2005 | 117 | 2005 |
| ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization E Glaab, JM Garibaldi, N Krasnogor BMC bioinformatics 10 (1), 1-7, 2009 | 116 | 2009 |
| A new accuracy measure based on bounded relative error for time series forecasting C Chen, J Twycross, JM Garibaldi PloS one 12 (3), e0174202, 2017 | 113 | 2017 |
| Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer EA Rakha, D Soria, AR Green, C Lemetre, DG Powe, CC Nolan, ... British journal of cancer 110 (7), 1688-1697, 2014 | 110 | 2014 |
| Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data E Glaab, J Bacardit, JM Garibaldi, N Krasnogor PloS one 7 (7), e39932, 2012 | 107 | 2012 |
| Fuzzy multiple heuristic ordering for course timetabling H Asmuni, EK Burke, JM Garibaldi Proceedings of the 5th United Kingdom workshop on computational intelligence …, 2005 | 101 | 2005 |
| A ‘non-parametric’version of the naive Bayes classifier D Soria, JM Garibaldi, F Ambrogi, EM Biganzoli, IO Ellis Knowledge-Based Systems 24 (6), 775-784, 2011 | 100 | 2011 |
Daniele SoriaUniversity of KentVerified email at kent.ac.uk
