Jano van Hemert, PhD, FRSE
Jano van Hemert, PhD, FRSE
Optos plc (a Nikon company); Honorary Fellow, College of Medicine and Veterenary Medicine
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
Scientific workflow: a survey and research directions
A Barker, J Van Hemert
International Conference on Parallel Processing and Applied Mathematics, 746-753, 2007
3222007
Graph coloring with adaptive evolutionary algorithms
ÁE Eiben, JK Van Der Hauw, JI van Hemert
Journal of Heuristics 4 (1), 25-46, 1998
2191998
Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: a review
MS Haleem, L Han, J Van Hemert, B Li
Computerized medical imaging and graphics 37 (7-8), 581-596, 2013
1292013
Comparing evolutionary algorithms on binary constraint satisfaction problems
BGW Craenen, AE Eiben, JI van Hemert
IEEE Transactions on Evolutionary Computation 7 (5), 424-444, 2003
1242003
Diabetic retinopathy severity and peripheral lesions are associated with nonperfusion on ultrawide field angiography
PS Silva, AJD Cruz, MG Ledesma, J van Hemert, A Radwan, ...
Ophthalmology 122 (12), 2465-2472, 2015
1072015
Dynamic routing problems with fruitful regions: Models and evolutionary computation
JI Van Hemert, JA La Poutré
International Conference on Parallel Problem Solving from Nature, 692-701, 2004
932004
A comparison of genetic programming variants for data classification
J Eggermont, AE Eiben, JI van Hemert
International Symposium on Intelligent Data Analysis, 281-290, 1999
901999
Understanding TSP difficulty by learning from evolved instances
K Smith-Miles, J van Hemert, XY Lim
International Conference on Learning and Intelligent Optimization, 266-280, 2010
882010
Discovering the suitability of optimisation algorithms by learning from evolved instances
K Smith-Miles, J van Hemert
Annals of Mathematics and Artificial Intelligence 61 (2), 87-104, 2011
752011
Measuring the precise area of peripheral retinal non-perfusion using ultra-widefield imaging and its correlation with the ischaemic index
CS Tan, MC Chew, J van Hemert, MA Singer, D Bell, SVR Sadda
British Journal of Ophthalmology 100 (2), 235-239, 2016
682016
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO
M Gruber, J van Hemert, GR Raidl
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006
612006
Precise montaging and metric quantification of retinal surface area from ultra-widefield fundus photography and fluorescein angiography
DE Croft, J van Hemert, CC Wykoff, D Clifton, M Verhoek, A Fleming, ...
Ophthalmic Surgery, Lasers and Imaging Retina 45 (4), 312-317, 2014
592014
Evolving combinatorial problem instances that are difficult to solve
JI van Hemert
Evolutionary Computation 14 (4), 433-462, 2006
592006
SAW-ing EAs: Adapting the fitness function for solving constrained problems
AE Eiben, JI Van Hemert
551999
Solving binary constraint satisfaction problems using evolutionary algorithms with an adaptive fitness function
AE Eiben, JI van Hemert, E Marchiori, AG Steenbeek
International Conference on Parallel Problem Solving from Nature, 201-210, 1998
511998
Assessment of accuracy and precision of quantification of ultra-widefield images
M Sagong, J van Hemert, LCO de Koo, C Barnett, SVR Sadda
Ophthalmology 122 (4), 864-866, 2015
502015
Orchestrating data-centric workflows
A Barker, JB Weissman, J Van Hemert
2008 Eighth IEEE International Symposium on Cluster Computing and the Grid …, 2008
472008
Adapting the fitness function in GP for data mining
J Eggermont, AE Eiben, JI van Hemert
European Conference on Genetic Programming, 193-202, 1999
451999
Distribution of nonperfusion area on ultra-widefield fluorescein angiography in eyes with diabetic macular edema: DAVE study
W Fan, K Wang, KG Falavarjani, M Sagong, A Uji, M Ip, CC Wykoff, ...
American Journal of Ophthalmology 180, 110-116, 2017
432017
Adaptive genetic programming applied to new and existing simple regression problems
J Eggermont, JI Van Hemert
European Conference on Genetic Programming, 23-35, 2001
432001
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