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E. Hunt, Atkinson, M. P., and Irving, R. W., “Database indexing for large DNA and protein sequence collections”, VLDB J., vol. 11, pp. 256-271, 2002.
E. Hunt, Atkinson, M. P., and Irving, R. W., “A Database Index to Large Biological Sequences”, in VLDB, 2001, pp. 139-148.
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.
S. Herres-Pawlis, Balaskó, Á., Birkenheuer, G., Brinkmann, A., Gesing, S., Grunzke, R., Hoffmann, A., Kacsuk, P., Krüger, J., Packschies, L., Terstyansky, G., and Weingarten, N., “User-friendly workflows in quantum chemistry”, in IWSG 2013, Zurich, Switzerland, 2013.
S. Herres-Pawlis, Birkenheuer, G., Brinkmann, A., Gesing, S., Grunzke, R., Jäkel, R., Kohlbacher, O., Krüger, J., and Vieira, I. Dos Santos, “Workflow-enhanced conformational analysis of guanidine zinc complexes via a science gateway”, in HealthGrid Applications and Technologies Meet Science Gateways for Life Sciences, 2012.
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.
J. I. van Hemert and Koetsier, J., “Giving Computational Science a Friendly Face”, Zero-In, vol. 1, no. 3, p. 12--13, 2009.
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 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.
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.
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.
J. I. van Hemert, “Evolving combinatorial problem instances that are difficult to solve”, Evolutionary Computation, vol. 14, p. 433--462, 2006.
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 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, “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 and Baldock, R. A., “Mining spatial gene expression data for association rules”, in Lecture Notes in Bioinformatics, 2007, p. 66--76.
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 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, “De Creatieve Computer”, AIgg Kennisgeving, vol. 13, p. 10--18, 2000.
J. van Hemert, “Evolutionary Computation and Constraint Satisfaction”, J. Kacpryk and Pedrycz, W., Eds. Springer, 2015, pp. 1271–1284.
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 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.
J. van Hemert and Cotta, C., “Evolutionary Computation in Combinatorial Optimization, 8th European Conference”, Lecture Notes in Computer Science, vol. LNCS 4972. Springer, 2008.
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. 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.

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