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2020 – today
- 2020
[i3]Peter Robert Wakeford, Enrico Pellegrini
, Gavin Robertson, Michael Verhoek, Alan Duncan Fleming, Jano I. van Hemert, Ik Siong Heng:
Optic disc and fovea localisation in ultra-widefield scanning laser ophthalmoscope images captured in multiple modalities. CoRR abs/2004.11691 (2020)
2010 – 2019
- 2019
- [c41]Peter Robert Wakeford, Enrico Pellegrini, Gavin Robertson, Michael Verhoek, Alan D. Fleming, Jano I. van Hemert, Ik Siong Heng:
Optic Disc and Fovea Localisation in Ultra-widefield Scanning Laser Ophthalmoscope Images Captured in Multiple Modalities. MIUA 2019: 399-410 - 2018
- [j23]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming, Louis R. Pasquale, Brian J. Song:
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis. J. Medical Syst. 42(1): 20:1-20:18 (2018) - [j22]Enrico Pellegrini, Gavin Robertson, Tom J. MacGillivray, Jano I. van Hemert, Graeme Houston, Emanuele Trucco:
A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy. IEEE Trans. Medical Imaging 37(2): 516-526 (2018) - 2017
- [j21]Chee Sun Liew, Malcolm P. Atkinson, Michelle Galea, Tan Fong Ang, Paul Martin, Jano I. van Hemert:
Scientific Workflows: Moving Across Paradigms. ACM Comput. Surv. 49(4): 66:1-66:39 (2017) - 2016
- [j20]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Alan Fleming, Louis R. Pasquale, Paolo S. Silva, Brian J. Song, Lloyd Paul Aiello:
Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images. J. Medical Syst. 40(6): 132:1-132:19 (2016) - 2015
- [j19]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming:
Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases. IEEE J. Biomed. Health Informatics 19(4): 1472-1482 (2015) - [c40]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Alan Fleming:
Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings. EMBC 2015: 4318-4321 - [p4]Jano I. van Hemert:
Evolutionary Computation and Constraint Satisfaction. Handbook of Computational Intelligence 2015: 1271-1288 - 2014
- [c39]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming:
Superpixel Based Retinal Area Detection in SLO Images. ICCVG 2014: 254-261 - 2013
- [j18]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li:
Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review. Comput. Medical Imaging Graph. 37(7-8): 581-596 (2013) - [c38]K. Zutis, Emanuele Trucco, Jean Pierre Hubschman, D. Reed, S. Shah, Jano I. van Hemert:
Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams. EMBC 2013: 7372-7375 - 2012
- [j17]Luna De Ferrari, Stuart Aitken, Jano I. van Hemert, Igor Goryanin:
EnzML: multi-label prediction of enzyme classes using InterPro signatures. BMC Bioinform. 13: 61 (2012) - [j16]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
Reducing Data Transfer in Service-Oriented Architectures: The Circulate Approach. IEEE Trans. Serv. Comput. 5(3): 437-449 (2012) - 2011
- [j15]Kate Smith-Miles, Jano I. van Hemert:
Discovering the suitability of optimisation algorithms by learning from evolved instances. Ann. Math. Artif. Intell. 61(2): 87-104 (2011) - [j14]Liangxiu Han, Jano I. van Hemert, Richard A. Baldock:
Automatically identifying and annotating mouse embryo gene expression patterns. Bioinform. 27(8): 1101-1107 (2011) - [j13]Josep Rius, Fernando Cores, Francesc Solsona, Jano I. van Hemert, Jos Koetsier, Cédric Notredame:
A user-friendly web portal for T-Coffee on supercomputers. BMC Bioinform. 12: 150 (2011) - [j12]Sandra Gesing, Jano I. van Hemert, Péter Kacsuk, Oliver Kohlbacher:
Special Issue: Portals for life sciences - Providing intuitive access to bioinformatic tools. Concurr. Comput. Pract. Exp. 23(3): 223-234 (2011) - [j11]Jano I. van Hemert, Jos Koetsier, Livia Torterolo, Ivan Porro, Maurizio Melato, Roberto Barbera:
Generating web-based user interfaces for computational science. Concurr. Comput. Pract. Exp. 23(3): 256-268 (2011) - [j10]Liangxiu Han, Chee Sun Liew, Jano I. van Hemert, Malcolm P. Atkinson:
A generic parallel processing model for facilitating data mining and integration. Parallel Comput. 37(3): 157-171 (2011) - [j9]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:
Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models. Simul. Model. Pract. Theory 19(6): 1479-1495 (2011) - 2010
- [c37]Sandra Gesing, Jano I. van Hemert, Jos Koetsier, Andreas Bertsch, Oliver Kohlbacher:
TOPP goes Rapid The OpenMS Proteomics Pipeline in a Grid-Enabled Web Portal. CCGRID 2010: 598-599 - [c36]Gagarine Yaikhom, Chee Sun Liew, Liangxiu Han, Jano I. van Hemert, Malcolm P. Atkinson, Amy Krause:
Federated Enactment of Workflow Patterns. Euro-Par (1) 2010: 317-328 - [c35]Chee Sun Liew, Malcolm P. Atkinson, Jano I. van Hemert, Liangxiu Han:
Towards optimising distributed data streaming graphs using parallel streams. HPDC 2010: 725-736 - [c34]David A. Bacigalupo, Jano I. van Hemert, Asif Usmani, Donna N. Dillenberger, Gary B. Wills, Stephen A. Jarvis:
Resource management of enterprise cloud systems using layered queuing and historical performance models. IPDPS Workshops 2010: 1-8 - [c33]Kate Smith-Miles, Jano I. van Hemert, Xin Yu Lim:
Understanding TSP Difficulty by Learning from Evolved Instances. LION 2010: 266-280
2000 – 2009
- 2009
- [j8]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration. Clust. Comput. 12(2): 221-235 (2009) - [j7]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration. Clust. Comput. 12(2): 237 (2009) - [j6]Jean O'Donoghue, Jano I. van Hemert:
Using the DCC Lifecycle Model to Curate a Gene Expression Database: A Case Study. Int. J. Digit. Curation 4(3): 57-70 (2009) - [c32]Liangxiu Han, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson:
Automating Gene Expression Annotation for Mouse Embryo. ADMA 2009: 469-478 - [c31]Adam Barker, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson:
An E-infrastructure to Support Collaborative Embryo Research. CCGRID 2009: 520-525 - [c30]Jos Koetsier, Andrew Turner, Patricia Richardson, Jano I. van Hemert:
Rapid Chemistry Portals through Engaging Researchers. eScience 2009: 284-291 - [c29]Sandra Gesing, Oliver Kohlbacher, Jano I. van Hemert:
Portals for Life Sciences - a Brief Introduction. IWPLS 2009 - [c28]Jos Koetsier, Jano I. van Hemert:
Rapid Development of Computational Science Portals. IWPLS 2009 - [p3]Tom Lenaerts, Anne Defaweux, Jano I. van Hemert:
The Evolutionary Transition Algorithm: Evolving Complex Solutions Out of Simpler Ones. Nature-Inspired Algorithms for Optimisation 2009: 103-131 - [p2]Jano I. van Hemert, Johannes A. La Poutré:
Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation. Bio-inspired Algorithms for the Vehicle Routing Problem 2009: 131-149 - [e5]Sandra Gesing, Jano I. van Hemert:
Proceedings of the International Workshop on Portals for Life Sciences, IWPLS 2009, Edinburgh, UK, September 14-15, 2009. CEUR Workshop Proceedings 513, CEUR-WS.org 2009 [contents] - [i2]Adam Barker, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson:
An e-Infrastructure for Collaborative Research in Human Embryo Development. CoRR abs/0901.2310 (2009) - 2008
- [c27]Jano I. van Hemert, Richard A. Baldock:
Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns. BIRD 2008: 347-361 - [c26]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
Orchestrating Data-Centric Workflows. CCGRID 2008: 210-217 - [c25]István Juhos, Jano I. van Hemert:
Graph Colouring Heuristics Guided by Higher Order Graph Properties. EvoCOP 2008: 97-109 - [c24]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
Eliminating the middleman: peer-to-peer dataflow. HPDC 2008: 55-64 - [c23]Luna De Ferrari, Stuart Aitken, Jano I. van Hemert, Igor Goryanin:
WikiSim: simulating knowledge collection and curation in structured wikis. Int. Sym. Wikis 2008 - [p1]István Juhos, Jano I. van Hemert:
Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem. Recent Advances in Evolutionary Computation for Combinatorial Optimization 2008: 167-184 - [e4]Jano I. van Hemert, Carlos Cotta:
Evolutionary Computation in Combinatorial Optimization, 8th European Conference, EvoCOP 2008, Naples, Italy, March 26-28, 2008. Proceedings. Lecture Notes in Computer Science 4972, Springer 2008, ISBN 978-3-540-78603-0 [contents] - [e3]Carlos Cotta, Jano I. van Hemert:
Recent Advances in Evolutionary Computation for Combinatorial Optimization. Studies in Computational Intelligence 153, Springer 2008, ISBN 978-3-540-70806-3 [contents] - 2007
- [c22]Jano I. van Hemert, Richard A. Baldock:
Mining Spatial Gene Expression Data for Association Rules. BIRD 2007: 66-76 - [c21]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, Clare McKay, Stuart Anderson, John D. Ainsworth, Jano I. van Hemert, Ignacio Blanquer, Richard O. Sinnott, Christian Barillot, Bernard Gibaud, Alan R. Williams, Mark Hartswood, Paul Watson, Leslie Smith, Albert Burger, Jessie B. Kennedy, Horacio González-Vélez, Robert Stevens, Óscar Corcho, Robin Morton, Pamela Linksted, Mylene Deschenes, Mark M. McGilchrist, Paul Johnson, Alex Voss, Renate Gertz, Joanna M. Wardlaw:
Data Integration in eHealth: A Domain/Disease Specific Roadmap. HealthGrid 2007: 144-153 - [c20]Adam Barker, Jano I. van Hemert:
Scientific Workflow: A Survey and Research Directions. PPAM 2007: 746-753 - [e2]Carlos Cotta, Jano I. van Hemert:
Evolutionary Computation in Combinatorial Optimization, 7th European Conference, EvoCOP 2007, Valencia, Spain, April 11-13, 2007, Proceedings. Lecture Notes in Computer Science 4446, Springer 2007, ISBN 978-3-540-71614-3 [contents] - 2006
- [j5]Jano I. van Hemert:
Evolving Combinatorial Problem Instances That Are Difficult to Solve. Evol. Comput. 14(4): 433-462 (2006) - [j4]István Juhos, Jano I. van Hemert:
Increasing the Efficiency of Graph Colouring Algorithms with a Representation Based on Vector Operations. J. Softw. 1(2): 24-33 (2006) - [c19]István Juhos, Jano I. van Hemert:
Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation. EvoCOP 2006: 123-134 - [c18]Martin Gruber, Jano I. van Hemert, Günther R. Raidl:
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO. GECCO 2006: 1187-1194 - 2005
- [c17]Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent:
Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population. Congress on Evolutionary Computation 2005: 2174-2181 - [c16]Anne Defaweux, Tom Lenaerts, Jano I. van Hemert:
Evolutionary Transitions as a Metaphor for Evolutionary Optimisation. ECAL 2005: 342-352 - [c15]Jano I. van Hemert:
Property Analysis of Symmetric Travelling Salesman Problem Instances Acquired Through Evolution. EvoCOP 2005: 122-131 - [c14]István Juhos, Attila Tóth, Jano I. van Hemert:
Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring. EvoCOP 2005: 132-143 - [c13]Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent:
Transition models as an incremental approach for problem solving in evolutionary algorithms. GECCO 2005: 599-606 - [e1]Maarten Keijzer, Andrea Tettamanzi, Pierre Collet, Jano I. van Hemert, Marco Tomassini:
Genetic Programming, 8th European Conference, EuroGP2005, Lausanne, Switzerland, March 30 - April 1, 2005, Proceedings. Lecture Notes in Computer Science 3447, Springer 2005, ISBN 3-540-25436-6 [contents] - [i1]Jano I. van Hemert:
Property analysis of symmetric travelling salesman problem instances acquired through evolution. CoRR abs/cs/0502096 (2005) - 2004
- [j3]Jano I. van Hemert, Thomas Bäck:
Robust Parameter Settings for Variation Operators by Measuring the Resampling Ratio: A Study on Binary Constraint Satisfaction Problems. J. Heuristics 10(6): 629-640 (2004) - [c12]Jano I. van Hemert, Christine Solnon:
A Study into Ant Colony Optimisation, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems. EvoCOP 2004: 114-123 - [c11]István Juhos, Attila Tóth, Jano I. van Hemert:
Binary Merge Model Representation of the Graph Colouring Problem. EvoCOP 2004: 124-134 - [c10]Jano I. van Hemert, Neil Urquhart:
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation. PPSN 2004: 151-160 - [c9]Jano I. van Hemert, Johannes A. La Poutré:
Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation. PPSN 2004: 692-701 - 2003
- [j2]Bart G. W. Craenen, A. E. Eiben, Jano I. van Hemert:
Comparing evolutionary algorithms on binary constraint satisfaction problems. IEEE Trans. Evol. Comput. 7(5): 424-444 (2003) - [c8]Jano I. van Hemert:
Evolving binary constraint satisfaction problem instances that are difficult to solve. IEEE Congress on Evolutionary Computation 2003: 1267-1273 - 2002
- [c7]Jano I. van Hemert:
Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation. EvoWorkshops 2002: 82-91 - [c6]Jano I. van Hemert, Thomas Bäck:
Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction. PPSN 2002: 23-32 - 2001
- [c5]Jeroen Eggermont, Jano I. van Hemert:
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems. EuroGP 2001: 23-35
1990 – 1999
- 1999
- [c4]Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert:
Adapting the Fitness Function in GP for Data Mining. EuroGP 1999: 193-202 - [c3]A. E. Eiben, Donatello Elia, Jano I. van Hemert:
Population dynamics and emerging mental features in AEGIS. GECCO 1999: 1257-1264 - [c2]Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert:
A Comparison of Genetic Programming Variants for Data Classification. IDA 1999: 281-290 - 1998
- [j1]A. E. Eiben, J. K. van der Hauw, Jano I. van Hemert:
Graph Coloring with Adaptive Evolutionary Algorithms. J. Heuristics 4(1): 25-46 (1998) - [c1]A. E. Eiben, Jano I. van Hemert, Elena Marchiori, Adri G. Steenbeek:
Solving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive Fitness Function. PPSN 1998: 201-210
Coauthor Index
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