Solving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive Fitness Function. - A. E. Eiben; Jano I. van Hemert; Elena Marchiori; Adri G. Steenbeek (PPSN, 1998)

Graph Coloring with Adaptive Evolutionary Algorithms. - A. E. Eiben; J. K. van der Hauw; Jano I. van Hemert (J. Heuristics, 1998)

Adapting the Fitness Function in GP for Data Mining. - Jeroen Eggermont; A. E. Eiben; Jano I. van Hemert (EuroGP, 1999)

Population dynamics and emerging mental features in AEGIS. - A. E. Eiben; Donatello Elia; Jano I. van Hemert (GECCO, 1999)

A Comparison of Genetic Programming Variants for Data Classification. - Jeroen Eggermont; A. E. Eiben; Jano I. van Hemert (IDA, 1999)

Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems. - Jeroen Eggermont; Jano I. van Hemert (EuroGP, 2001)

Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation. - Jano I. van Hemert (EvoWorkshops, 2002)

Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction. - Jano I. van Hemert; Thomas Bäck (PPSN, 2002)

Evolving binary constraint satisfaction problem instances that are difficult to solve. - Jano I. van Hemert (IEEE Congress on Evolutionary Computation, 2003)

Comparing evolutionary algorithms on binary constraint satisfaction problems. - Bart G. W. Craenen; A. E. Eiben; Jano I. van Hemert (IEEE Trans. Evol. Comput., 2003)

A Study into Ant Colony Optimisation, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems. - Jano I. van Hemert; Christine Solnon (EvoCOP, 2004)

Binary Merge Model Representation of the Graph Colouring Problem. - István Juhos; Attila Tóth; Jano I. van Hemert (EvoCOP, 2004)

Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation. - Jano I. van Hemert; Johannes A. La Poutré (PPSN, 2004)

Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation. - Jano I. van Hemert; Neil Urquhart (PPSN, 2004)

Robust Parameter Settings for Variation Operators by Measuring the Resampling Ratio: A Study on Binary Constraint Satisfaction Problems. - Jano I. van Hemert; Thomas Bäck (J. Heuristics, 2004)

Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population. - Anne Defaweux; Tom Lenaerts; Jano I. van Hemert; Johan Parent (Congress on Evolutionary Computation, 2005)

Evolutionary Transitions as a Metaphor for Evolutionary Optimisation. - Anne Defaweux; Tom Lenaerts; Jano I. van Hemert (ECAL, 2005)

Property Analysis of Symmetric Travelling Salesman Problem Instances Acquired Through Evolution. - Jano I. van Hemert (EvoCOP, 2005)

Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring. - István Juhos; Attila Tóth; Jano I. van Hemert (EvoCOP, 2005)

Transition models as an incremental approach for problem solving in evolutionary algorithms. - Anne Defaweux; Tom Lenaerts; Jano I. van Hemert; Johan Parent (GECCO, 2005)

Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation. - István Juhos; Jano I. van Hemert (EvoCOP, 2006)

Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO. - Martin Gruber; Jano I. van Hemert; Günther R. Raidl (GECCO, 2006)

Evolving Combinatorial Problem Instances That Are Difficult to Solve. - Jano I. van Hemert (Evol. Comput., 2006)

Increasing the Efficiency of Graph Colouring Algorithms with a Representation Based on Vector Operations. - István Juhos; Jano I. van Hemert (J. Softw., 2006)

Mining Spatial Gene Expression Data for Association Rules. - Jano I. van Hemert; Richard A. Baldock (BIRD, 2007)

Data Integration in eHealth: A Domain/Disease Specific Roadmap. - Jenny Ure; Rob Procter; Maryann E. Martone; David Porteous; Sharon Lloyd; Stephen M. Lawrie; Dominic Job; Richard A. Baldock; Alistair Philp; Dave Liewald; Frank Rakebrandt; Alan Blaikie; et al. (HealthGrid, 2007)

Scientific Workflow: A Survey and Research Directions. - Adam Barker; Jano I. van Hemert (PPAM, 2007)

Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns. - Jano I. van Hemert; Richard A. Baldock (BIRD, 2008)

Orchestrating Data-Centric Workflows. - Adam Barker; Jon B. Weissman; Jano I. van Hemert (CCGRID, 2008)

Graph Colouring Heuristics Guided by Higher Order Graph Properties. - István Juhos; Jano I. van Hemert (EvoCOP, 2008)

Eliminating the middleman: peer-to-peer dataflow. - Adam Barker; Jon B. Weissman; Jano I. van Hemert (HPDC, 2008)

WikiSim: simulating knowledge collection and curation in structured wikis. - Luna De Ferrari; Stuart Aitken; Jano I. van Hemert; Igor Goryanin (Int. Sym. Wikis, 2008)

Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem. - István Juhos; Jano I. van Hemert (Recent Advances in Evolutionary Computation for Combinatorial Optimization, 2008)

Automating Gene Expression Annotation for Mouse Embryo. - Liangxiu Han; Jano I. van Hemert; Richard A. Baldock; Malcolm P. Atkinson 001 (ADMA, 2009)

An E-infrastructure to Support Collaborative Embryo Research. - Adam Barker; Jano I. van Hemert; Richard A. Baldock; Malcolm P. Atkinson 001 (CCGRID, 2009)

Rapid Chemistry Portals through Engaging Researchers. - Jos Koetsier; Andrew Turner; Patricia Richardson; Jano I. van Hemert (eScience, 2009)

Portals for Life Sciences - a Brief Introduction. - Sandra Gesing; Oliver Kohlbacher; Jano I. van Hemert (IWPLS, 2009)

Rapid Development of Computational Science Portals. - Jos Koetsier; Jano I. van Hemert (IWPLS, 2009)

The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration. - Adam Barker; Jon B. Weissman; Jano I. van Hemert (Clust. Comput., 2009)

An e-Infrastructure for Collaborative Research in Human Embryo Development - Adam Barker; Jano I. van Hemert; Richard A. Baldock; Malcolm P. Atkinson 001 (CoRR, 2009)

Using the DCC Lifecycle Model to Curate a Gene Expression Database: A Case Study. - Jean O'Donoghue; Jano I. van Hemert (Int. J. Digit. Curation, 2009)

Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation. - Jano I. van Hemert; Johannes A. La Poutré (Bio-inspired Algorithms for the Vehicle Routing Problem, 2009)

The Evolutionary Transition Algorithm: Evolving Complex Solutions Out of Simpler Ones. - Tom Lenaerts; Anne Defaweux; Jano I. van Hemert (Nature-Inspired Algorithms for Optimisation, 2009)

TOPP goes Rapid The OpenMS Proteomics Pipeline in a Grid-Enabled Web Portal. - Sandra Gesing; Jano I. van Hemert; Jos Koetsier; Andreas Bertsch; Oliver Kohlbacher (CCGRID, 2010)

Federated Enactment of Workflow Patterns. - Gagarine Yaikhom; Chee Sun Liew; Liangxiu Han; Jano I. van Hemert; Malcolm P. Atkinson 001; Amy Krause (Euro-Par (1), 2010)

Towards optimising distributed data streaming graphs using parallel streams. - Chee Sun Liew; Malcolm P. Atkinson 001; Jano I. van Hemert; Liangxiu Han (HPDC, 2010)

Resource management of enterprise cloud systems using layered queuing and historical performance models. - David A. Bacigalupo; Jano I. van Hemert; Asif Usmani; Donna N. Dillenberger; Gary B. Wills; Stephen A. Jarvis (IPDPS Workshops, 2010)

Understanding TSP Difficulty by Learning from Evolved Instances. - Kate Smith-Miles; Jano I. van Hemert; Xin Yu Lim (LION, 2010)

Discovering the suitability of optimisation algorithms by learning from evolved instances. - Kate Smith-Miles; Jano I. van Hemert (Ann. Math. Artif. Intell., 2011)

Automatically identifying and annotating mouse embryo gene expression patterns. - Liangxiu Han; Jano I. van Hemert; Richard A. Baldock (Bioinform., 2011)

A user-friendly web portal for T-Coffee on supercomputers. - Josep Rius 002; Fernando Cores; Francesc Solsona; Jano I. van Hemert; Jos Koetsier; Cédric Notredame (BMC Bioinform., 2011)

Special Issue: Portals for life sciences - Providing intuitive access to bioinformatic tools. - Sandra Gesing; Jano I. van Hemert; Péter Kacsuk; Oliver Kohlbacher (Concurr. Comput. Pract. Exp., 2011)

Generating web-based user interfaces for computational science. - Jano I. van Hemert; Jos Koetsier; Livia Torterolo; Ivan Porro; Maurizio Melato; Roberto Barbera (Concurr. Comput. Pract. Exp., 2011)

A generic parallel processing model for facilitating data mining and integration. - Liangxiu Han; Chee Sun Liew; Jano I. van Hemert; Malcolm P. Atkinson 001 (Parallel Comput., 2011)

Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models. - David A. Bacigalupo; Jano I. van Hemert; Xiaoyu Chen; Asif Usmani; Adam P. Chester; Ligang He; Donna N. Dillenberger; Gary B. Wills; Lester Gilbert; Stephen A. Jarvis (Simul. Model. Pract. Theory, 2011)

EnzML: multi-label prediction of enzyme classes using InterPro signatures. - Luna De Ferrari; Stuart Aitken; Jano I. van Hemert; Igor Goryanin (BMC Bioinform., 2012)

Reducing Data Transfer in Service-Oriented Architectures: The Circulate Approach. - Adam Barker; Jon B. Weissman; Jano I. van Hemert (IEEE Trans. Serv. Comput., 2012)

Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams. - K. Zutis; Emanuele Trucco; Jean Pierre Hubschman; D. Reed; S. Shah; Jano I. van Hemert (EMBC, 2013)

Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review. - Muhammad Salman Haleem; Liangxiu Han; Jano I. van Hemert; Baihua Li (Comput. Medical Imaging Graph., 2013)

Superpixel Based Retinal Area Detection in SLO Images. - Muhammad Salman Haleem; Liangxiu Han; Jano I. van Hemert; Baihua Li; Alan Fleming (ICCVG, 2014)

Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings. - Muhammad Salman Haleem; Liangxiu Han; Jano I. van Hemert; Alan Fleming (EMBC, 2015)

Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases. - Muhammad Salman Haleem; Liangxiu Han; Jano I. van Hemert; Baihua Li; Alan Fleming (IEEE J. Biomed. Health Informatics, 2015)

Evolutionary Computation and Constraint Satisfaction. - Jano I. van Hemert (Handbook of Computational Intelligence, 2015)

Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images. - Muhammad Salman Haleem; Liangxiu Han; Jano I. van Hemert; Alan Fleming; Louis R. Pasquale; Paolo S. Silva; Brian J. Song; Lloyd Paul Aiello (J. Medical Syst., 2016)

Scientific Workflows: Moving Across Paradigms. - Chee Sun Liew; Malcolm P. Atkinson 001; Michelle Galea; Tan Fong Ang; Paul Martin 002; Jano I. van Hemert (ACM Comput. Surv., 2017)

A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis. - Muhammad Salman Haleem; Liangxiu Han; Jano I. van Hemert; Baihua Li; Alan Fleming; Louis R. Pasquale; Brian J. Song (J. Medical Syst., 2018)

A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy. - Enrico Pellegrini; Gavin Robertson; Tom J. MacGillivray; Jano I. van Hemert; Graeme Houston; Emanuele Trucco (IEEE Trans. Medical Imaging, 2018)

Optic Disc and Fovea Localisation in Ultra-widefield Scanning Laser Ophthalmoscope Images Captured in Multiple Modalities. - Peter Robert Wakeford; Enrico Pellegrini; Gavin Robertson; Michael Verhoek; Alan D. Fleming; Jano I. van Hemert; Ik Siong Heng (MIUA, 2019)