J.  van Hemert, ?Evolutionary Computation and Constraint Satisfaction?, J.  Kacpryk and Pedrycz, W., Eds. Springer, 2015, pp. 1271?1284.

D. E.  Croft, van Hemert, J., Wykoff, C. C., Clifton, D., Verhoek, M., Fleming, A., and Brown, D. M., ?Precise montaging and metric quantification of retinal surface area from ultra-widefield fundus photography and fluorescein angiography?, Ophthalmic Surg Lasers Imaging Retina, vol. 45, pp. 312?317, 2014.

D. E.  Croft, Wykoff, C. C., Brown, D. M., van Hemert, J., and Verhoek, M., ?Quantification of Ultra-Widefield Retinal Images?, Retina Today, 2014.

M. S.  Haleem, Han, L., van Hemert, J., and Li, B., ?Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review?, Computerized Medical Imaging and Graphics, vol. 37, pp. 581?596, 2013.

M. S.  Haleem, Han, L., Li, B., Nisbet, A., van Hemert, J., and Verhoek, M., ?Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases?, in 14th {IASTED} International Conference on Computer Graphics and Imaging (CGIM), 2013.

M. P.  Atkinson, Baxter, R. M., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., The DATA Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business. John Wiley & Sons Inc., 2013, p. 580.

O.  Corcho and van Hemert, J., ?Data-Intensive Analysis?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 127-145.

O.  Corcho, ?Data-Intensive Components and Usage Patterns?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 165-179.

M.  Atkinson, ?The Data-Intensive Survival Guide?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 37-60.

M.  Atkinson, ?Data-Intensive Thinking with DISPEL?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Inc., 2013, pp. 61-122.

P.  Martin and Yaikhom, G., ?Definition of the DISPEL Language?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Inc., 2013, pp. 203-236.

M.  Atkinson and Parsons, M., ?The Digital-Data Challenge?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 5-13.

M.  Atkinson, ?The Digital-Data Revolution?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 15-36.

A.  Mouat and Snelling, D., ?DISPEL Development?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Inc., 2013, pp. 237-249.

C. S.  Liew, Krause, A., and Snelling, D., ?DISPEL Enactment?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Inc., 2013, pp. 251-273.

T.  Hey, ?Foreword?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, p. xvii-xviii.

D.  Snelling, ?Platforms for Data-Intensive Analysis?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R. M., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 197-201.

M.  Atkinson, ?Preface?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, p. xix-xxviii.

O.  Corcho and van Hemert, J., ?Problem Solving in Data-Intensive Knowledge Discovery?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 147-163.

O.  Corcho, ?Sharing and Reuse in Knowledge Discovery?, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M.  Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 181-192.

K.  Zutis, Trucco, E., Hubschman, J. P., Reed, D., Shah, S., and van Hemert, J., ?Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams?, in Conf Proc IEEE Eng Med Biol Soc, 2013.

L.  De Ferrari, Aitken, S., van Hemert, J., and Goryanin, I., ?EnzML: multi-label prediction of enzyme classes using InterPro signatures.?, BMC Bioinformatics, vol. 13, p. 61, 2012.

L.  Han, van Hemert, J., and Baldock, R., ?Automatically Identifying and Annotating Mouse Embryo Gene Expression Patterns?, Bioinformatics, vol. 27, pp. 1101?1107, 2011.

K.  Smith-Miles and {van Hemert}, J. I., ?Discovering the suitability of optimisation algorithms by learning from evolved instances?, Annals of Mathematics and Artificial Intelligence, vol. Online Fir, 2011.

J.  van Hemert, Koetsier, J., Torterolo, L., Porro, I., Melato, M., and Barbera, R., ?Generating web-based user interfaces for computational science?, Concurrency and Computation: Practice and Experience, vol. 23, p. 256--268, 2011.

L.  Han, Liew, C. S., van Hemert, J., and Atkinson, M., ?A Generic Parallel Processing Model for Facilitating Data Mining and Integration?, Parallel Computing, vol. 37, no. 3, pp. 157 - 171, 2011.

D. A.  Bacigalupo, van Hemert, J. I., Chen, X., Usmani, A., Chester, A. P., He, L., Dillenberger, D. N., Wills, G. B., Gilbert, L., and Jarvis, S. A., ?Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models?, Simulation Modelling Practice and Theory, vol. 19, pp. 1479?1495, 2011.

C. S.  Liew, Atkinson, M. P., Ostrowski, R., Cole, M., van Hemert, J. I., and Han, L., ?Performance database: capturing data for optimizing distributed streaming workflows?, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 369, no. 1949, pp. 3268-3284, 2011.

K.  D'Mellow, Rodríguez, D., Carpenter, T., Koetsier, J., Job, D., van Hemert, J., Wardlaw, J., and Zhu, F., ?RapidBrain: Developing a Portal for Brain Research Imaging?, in All Hands Meeting 2011, York , York, 2011.

S.  Gesing, van Hemert, J., Kacsuk, P., and Kohlbacher, O., ?Special Issue: Portals for life sciences---Providing intuitive access to bioinformatic tools?, Concurrency and Computation: Practice and Experience, vol. 23, no. 23, p. 223--234, 2011.

J.  Rius, Cores, F., Solsona, F., van Hemert, J. I., Koetsier, J., and Notredame, C., ?A user-friendly web portal for T-Coffee on supercomputers?, BMC Bioinformatics, vol. 12, 2011.

G.  Yaikhom, Atkinson, M., van Hemert, J., Corcho, O., and Krause, A., ?Validation and mismatch repair of workflows through typed data streams?, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 369, no. 1949, pp. 3285-3299, 2011.

L.  Han, Saengngam, T., and van Hemert, J., ?Accelerating Data-Intensive Applications: a Cloud Computing Approach Image Pattern Recognition Tasks?, in The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences, 2010.

R. R.  Kitchen, Sabine, V. S., Sims, A. H., Macaskill, E. J., Renshaw, L., Thomas, J. S., van Hemert, J. I., Dixon, J. M., and Bartlett, J. M. S., ?Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles?, BMC Genomics, vol. 11, no. 134, 2010.

M.  Atkinson, Roure, D. D., van Hemert, J., Jha, S., McNally, R., Mann, R., Viglas, S., and Williams, C., ?Data-Intensive Research Workshop (15-19 March 2010) Report?, Data-Intensive Research Group, School of Informatics, University of Edinburgh, Edinburgh, 2010.

G.  Yaikhom, Liew, C., Han, L., van Hemert, J., Atkinson, M., and Krause, A., ?Federated Enactment of Workflow Patterns?, Lecture Notes in Computer Science, vol. 6271. Springer Berlin / Heidelberg, pp. 317-328, 2010.

C. A.  Morrison, Robertson, N., Turner, A., van Hemert, J., and Koetsier, J., ?Molecular Orbital Calculations of Inorganic Compounds?, in Inorganic Experiments, 3rd ed., D. J.  Woollins, Ed. Wiley-VCH, 2010, p. 261--267.

D.  Rodríguez, Carpenter, T. K., van Hemert, J. I., and Wardlaw, J. M., ?An open source toolkit for medical imaging de-identification?, European Radiology, vol. 20, no. 8, p. 1896--1904, 2010.

D. A.  Bacigalupo, van Hemert, J., Usmani, A., Dillenberger, D. N., Wills, G. B., and Jarvis, S. A., ?Resource management of enterprise cloud systems using layered queuing and historical performance models?, in IEEE International Symposium on Parallel Distributed Processing, 2010, p. 1--8.

S.  Gesing, van Hemert, J., Koetsier, J., Bertsch, A., and Kohlbacher, O., ?TOPP goes Rapid?, in Cluster Computing and the Grid, IEEE International Symposium on, Los Alamitos, CA, USA, 2010, p. 598--599.

C. S.  Liew, Atkinson, M. P., van Hemert, J., and Han, L., ?Towards Optimising Distributed Data Streaming Graphs using Parallel Streams?, in Data Intensive Distributed Computing (DIDC'10), in conjunction with the 19th International Symposium on High Performance Distributed Computing, Chicago, Illinois, 2010, pp. 725-736.

K.  Smith-Miles, van Hemert, J., and Lim, X., ?Understanding TSP Difficulty by Learning from Evolved Instances?, in Lecture Notes in Computer Science, 2010, vol. 6073, pp. 266-280.

P.  Brezany, Janciak, I., Woehrer, A., Aranda, C. B., Atkinson, M., and van Hemert, J., ?ADMIRE D1.5 ? Report defining an iteration of the model and language: PM3 and DL3?, ADMIRE project, 2009.

M.  Atkinson, Brezany, P., Corcho, O., Han, L., van Hemert, J., Hluchy, L., Hume, A., Janciak, I., Krause, A., Snelling, D., and Wöhrer, A., ?Advanced Data Mining and Integration Research for Europe?, in All Hands Meeting 2009, Oxford, 2009.

L.  Han, van Hemert, J., Baldock, R., and Atkinson, M. P., ?Automating Gene Expression Annotation for Mouse Embryo?, in Lecture Notes in Computer Science (Advanced Data Mining and Applications, 5th International Conference), 2009, vol. LNAI 5678, pp. 469-478.

A.  Barker, Weissman, J., and van Hemert, J. I., ?The Circulate Architecture: Avoiding Workflow Bottlenecks Caused By Centralised Orchestration?, Cluster Computing, vol. 12, p. 221--235, 2009.

M. P.  Atkinson, van Hemert, J., Han, L., Hume, A., and Liew, C. S., ?A Distributed Architecture for Data Mining and Integration?, in Data-Aware Distributed Computing (DADC'09), in conjunction with the 18th International Symposium on High Performance Distributed Computing, 2009, pp. 11-20.

A.  Barker, van Hemert, J. I., Baldock, R. A., and Atkinson, M. P., ?An e-Infrastructure for Collaborative Research in Human Embryo Development?, 2009.

A.  Barker, van Hemert, J. I., Baldock, R. A., and Atkinson, M. P., ?An E-infrastructure to Support Collaborative Embryo Research?, in Cluster Computing and the Grid, 2009, p. 520--525.

J. I.  van Hemert and la Poutré, J. A., ?Exploiting Fruitful Regions in Dynamic Routing using Evolutionary Computation?, in Studies in Computational Intelligence , vol. 161, F.  Pereira Babtista and Tavares, J., Eds. Springer, 2009, p. 131--149.

J. I.  van Hemert and Koetsier, J., ?Giving Computational Science a Friendly Face?, Zero-In, vol. 1, no. 3, p. 12--13, 2009.

L.  De Ferrari, Aitken, S., van Hemert, J., and Goryanin, I., ?A model of social collaboration in Molecular Biology knowledge bases?, in Proceedings of the 6th Conference of the European Social Simulation    Association (ESSA'09), 2009.

S.  Gesing, Kohlbacher, O., and van Hemert, J. I., ?Portals for Life Sciences?a Brief Introduction?, in Proceedings of the IWPLS09 International Workshop on Portals for Life Sciences, 2009.

S.  Gesing and van Hemert, J. I., ?Proceedings of the 1st International Workshop on Portals for Life Sciences?, IWPLS09 International Workshop on Portals for Life Sciences. e-Science Institute, Edinburgh, UK, 2009.

J.  Koetsier, Turner, A., Richardson, P., and van Hemert, J. I., ?Rapid chemistry portals through engaging researchers?, in Fifth IEEE International Conference on e-Science, Oxford, UK, 2009, pp. 284-291.

J.  Koetsier and van Hemert, J. I., ?Rapid development of computational science portals?, in Proceedings of the IWPLS09 International Workshop on Portals for Life Sciences, Edinburgh, 2009.

J. D.  Armstrong and van Hemert, J. I., ?Towards a Virtual Fly Brain?, Philosophical Transactions A, vol. 367, p. 2387--2397, 2009.

J.  Fernández, Han, L., Nuñez, A., Carretero, J., and van Hemert, J., ?Using architectural simulation models to aid the design of data intensive application?, in The Third International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2009), Sliema, Malta, 2009, p. 163--168.

J.  O?Donoghue and van Hemert, J. I., ?Using the DCC Lifecycle Model to Curate a Gene Expression Database: A Case Study?, International Journal of Digital Curation, vol. 4, no. 3, 2009.

I.  Juhos and van Hemert, J. I., ?Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem?, in Studies in Computational Intelligence, C.  Cotta and van Hemert, J. I., Eds. Springer, 2008, p. 167--184.

A.  Barker, Weissman, J. B., and van Hemert, J., ?Eliminating the Middle Man: Peer-to-Peer Dataflow?, in HPDC '08: Proceedings of the 17th International Symposium on High Performance Distributed Computing, 2008, p. 55--64.

C.  Di Chio, Giacobini, M., and van Hemert, J., ?European Graduate Student Workshop on Evolutionary Computation?. 2008.

J.  van Hemert and Cotta, C., ?Evolutionary Computation in Combinatorial Optimization, 8th European Conference?, Lecture Notes in Computer Science, vol. LNCS 4972. Springer, 2008.

I. \'{a}n Juhos and van Hemert, J., ?Graph Colouring Heuristics Guided by Higher Order Graph Properties?, in Lecture Notes in Computer Science, 2008, vol. 4972, p. 97--109.

J. I.  van Hemert and Baldock, R. A., ?Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns?, in Communications in Computer and Information Science, 2008, p. 347--361.

A.  Barker, Weissman, J. B., and van Hemert, J., ?Orchestrating Data-Centric Workflows?, in The 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid), 2008, p. 210--217.

C.  Cotta and van Hemert, J., Recent Advances in Evolutionary Computation for Combinatorial Optimization, vol. 153. Springer, 2008, p. 338.

A.  Barker and van Hemert, J., ?Scientific Workflow: A Survey and Research Directions?, in Lecture Notes in Computer Science, 2008, vol. 4967, p. 746--753.

L.  De~Ferrari, Aitken, S., van Hemert, J., and Goryanin, I., ?WikiSim: simulating knowledge collection and curation in structured    wikis.?, in Proceedings of the 2008 International Symposium on Wikis in Porto,    Portugal, New York, NY, USA, 2008.

J.  Ure, Proctor, R., Martone, M., Porteous, D., Lloyd, S., Lawrie, S., Job, D., Baldock, R., Philp, A., Liewald, D., Rakebrand, F., Blaikie, A., McKay, C., Anderson, S., Ainsworth, J., van Hemert, J., Blanquer, I., and Sinno, ?Data Integration in eHealth: A Domain/Disease Specific Roadmap?, in Studies in Health Technology and Informatics, 2007, vol. 126, p. 144--153.

M.  Giacobini and van Hemert, J., ?European Graduate Student Workshop on Evolutionary Computation?. Valencia, Spain, 2007.

C.  Cotta and van Hemert, J., ?Evolutionary Computation in Combinatorial Optimization, 7th European Conference?, Lecture Notes in Computer Science, vol. LNCS 4446. Springer, 2007.

J. I.  van Hemert and Baldock, R. A., ?Mining spatial gene expression data for association rules?, in Lecture Notes in Bioinformatics, 2007, p. 66--76.

M.  Giacobini and van Hemert, J., ?European Graduate Student Workshop on Evolutionary Computation?. Budapest, Hungary, 2006.

J. I.  van Hemert, ?Evolving combinatorial problem instances that are difficult to solve?, Evolutionary Computation, vol. 14, p. 433--462, 2006.

I.  Juhos and van Hemert, J. I., ?Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation?, in Springer Lecture Notes on Computer Science, 2006, p. 123--134.

I.  Juhos and van Hemert, J. I., ?Increasing the efficiency of graph colouring algorithms with a representation based on vector operations?, Journal of Software, vol. 1, p. 24--33, 2006.

M.  Gruber, van Hemert, J. I., and Raidl, G. R., ?Neighborhood Searches for the Bounded Diameter Minimum Spanning Tree Problem Embedded in a VNS, EA, and ACO?, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2006), Seattle, USA, 2006, vol. 2, p. 1187--1194.

A.  Defaweux, Lenaerts, T., van Hemert, J. I., and Parent, J., ?Complexity Transitions in Evolutionary Algorithms: Evaluating the impact of the initial population?, in Proceedings of the Congress on Evolutionary Computation, 2005, p. 196--203.

A.  Defaweux, Lenaerts, T., and van Hemert, J. I., ?Evolutionary Transitions as a Metaphor for Evolutionary Optimization?, in LNAI 3630, 2005, p. 342--352.

M.  Keijzer, Tettamanzi, A., Collet, P., van Hemert, J., and Tomassini, M., ?Genetic Programming, Proceedings of the 8th European Conference?, Lecture Notes in Computer Science, vol. 3447. Springer, 2005.

I.  Juhos, Tóth, A., and van Hemert, J. I., ?Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring?, in Springer Lecture Notes on Computer Science, 2005, p. 132--143.

J. I.  van Hemert, ?Property analysis of symmetric travelling salesman problem instances acquired through evolution?, in Springer Lecture Notes on Computer Science, 2005, p. 122--131.

A.  Defaweux, Lenaerts, T., van Hemert, J. I., and Parent, J., ?Transition Models as an incremental approach for problem solving in Evolutionary Algorithms?, in Proceedings of the Genetic and Evolutionary Computation Conference, 2005, p. 599--606.

I.  Juhos, Tóth, A., and van Hemert, J. I., ?Binary Merge Model Representation of the Graph Colouring Problem?, in Springer Lecture Notes on Computer Science, 2004, p. 124--134.

J. I.  van Hemert and la Poutré, J. A., ?Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation?, in LNCS, Birmingham, UK, 2004, vol. 3242, p. 690--699.

J. I.  van Hemert and Urquhart, N. B., ?Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation?, in LNCS, Birmingham, UK, 2004, vol. 3242, p. 150--159.

J. I.  van Hemert and Bäck, T., ?Robust parameter settings for variation operators by measuring the resampling ratio: A study on binary constraint satisfaction problems?, Journal of Heuristics, vol. 10, p. 629--640, 2004.

J. I.  van Hemert and Solnon, C., ?A Study into Ant Colony Optimization, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems?, in Springer Lecture Notes on Computer Science, 2004, p. 114--123.

B. G. W.  Craenen, Eiben, A. E., and van Hemert, J. I., ?Comparing Evolutionary Algorithms on Binary Constraint Satisfaction Problems?, IEEE Transactions on Evolutionary Computation, vol. 7, p. 424--444, 2003.

J. I.  van Hemert, ?Evolving binary constraint satisfaction problem instances that are difficult to solve?, in Proceedings of the IEEE 2003 Congress on Evolutionary Computation, 2003, p. 1267--1273.

I.  Juhos, Tóth, A., Tezuka, M., Tann, P., and van Hemert, J. I., ?A new permutation model for solving the graph k-coloring problem?, in Kalmàr Workshop on Logic and Computer Science, 2003, p. 189--199.

J. I.  van Hemert, ?Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation?, in Springer Lecture Notes on Computer Science, 2002, p. 81--90.

J. I.  van Hemert and Bäck, T., ?Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction?, in Springer Lecture Notes on Computer Science, 2002, p. 23--32.

R.  Grim, Jansen, M. L. M., Baan, A., van Hemert, J. I., and de Wolf, H., ?Use of Evolutionary Algorithms for Telescope Scheduling?, in Integrated Modeling of Telescopes, 2002, vol. 4757, p. 51--61.

J.  Eggermont and van Hemert, J. I., ?Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems?, in Springer Lecture Notes on Computer Science, 2001, p. 23--35.

J. I.  van Hemert and Jansen, M. L. M., ?An Engineering Approach to Evolutionary Art?, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), 2001, p. 177.

J. I.  van Hemert, ?Evolutionary Computation in Constraint Satisfaction and Machine Learning --- An abstract of my PhD.?, in Proceedings of the Brussels Evolutionary Algorithms Day (BEAD-2001), 2001.

J. I.  van Hemert, Van Hoyweghen, C., Lukschandl, E., and Verbeeck, K., ?A ``Futurist'' approach to dynamic environments?, in Proceedings of the Workshops at the Genetic and Evolutionary Computation Conference, Dynamic Optimization Problems, 2001, p. 35--38.

J. I.  van Hemert, ?Constraint Satisfaction Problems and Evolutionary Algorithms: A Reality Check?, in Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00), 2000, p. 267--274.

J. I.  van Hemert, ?De Creatieve Computer?, AIgg Kennisgeving, vol. 13, p. 10--18, 2000.

J.  Eggermont and van Hemert, J. I., ?Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming?, in Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00), 2000, p. 259--266.

J.  Eggermont, Eiben, A. E., and van Hemert, J. I., ?Adapting the Fitness Function in GP for Data Mining?, in Springer Lecture Notes on Computer Science, 1999, p. 195--204.

J.  Eggermont, Eiben, A. E., and van Hemert, J. I., ?Comparing genetic programming variants for data classification?, in Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), 1999, p. 253--254.

J.  Eggermont, Eiben, A. E., and van Hemert, J. I., ?A comparison of genetic programming variants for data classification?, in Springer Lecture Notes on Computer Science, 1999, p. 281--290.

J. I.  van Hemert and Eiben, A. E., ?Mondriaan Art by Evolution?, in Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), 1999, p. 291--292.

A. E.  Eiben, Elia, D., and van Hemert, J. I., ?Population dynamics and emerging features in AEGIS?, in Proceedings of the Genetic and Evolutionary Computation Conference, 1999, p. 1257--1264.

A. E.  Eiben and van Hemert, J. I., ?SAW-ing EAs: adapting the fitness function for solving constrained problems?, in New ideas in optimization, D.  Corne, Dorigo, M., and Glover, F., Eds. McGraw-Hill, London, 1999, p. 389--402.

A. E.  Eiben, van Hemert, J. I., Marchiori, E., and Steenbeek, A. G., ?Extended abstract: Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function?, in Proceedings of the Xth Netherlands/Belgium Conference on Artificial Intelligence (NAIC'98), 1998, p. 299--301.

A. E.  Eiben, van der Hauw, J. K., and van Hemert, J. I., ?Graph Coloring with Adaptive Evolutionary Algorithms?, Journal of Heuristics, vol. 4, p. 25--46, 1998.

A. E.  Eiben, van Hemert, J. I., Marchiori, E., and Steenbeek, A. G., ?Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function?, in Springer Lecture Notes on Computer Science, 1998, p. 196--205.