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Christine Zarges
Person information
- affiliation: Aberystwyth University, UK
- affiliation: University of Birmingham, UK
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2020 – today
- 2025
- [j15]Yumna Zahid, Christine Zarges, Bernie Tiddeman, Jungong Han:
Adversarial diffusion for few-shot scene adaptive video anomaly detection. Neurocomputing 614: 128796 (2025) - 2024
- [c42]Thomas Jansen, Christine Zarges:
Experimental and Theoretical Analysis of Local Search Optimising OBDD Variable Orderings. EvoStar 2024: 177-192 - [i4]Lily Major, Amanda Clare, Jacqueline W. Daykin, Benjamin Mora, Christine Zarges:
Heuristics for the Run-length Encoded Burrows-Wheeler Transform Alphabet Ordering Problem. CoRR abs/2401.16435 (2024) - [i3]Lily Major, Dave Davies, Amanda Clare, Jacqueline W. Daykin, Benjamin Mora, Christine Zarges:
A visualization tool to explore alphabet orderings for the Burrows-Wheeler Transform. CoRR abs/2402.17005 (2024) - 2021
- [j14]Zaineb Chelly Dagdia, Christine Zarges:
A Detailed Study of the Distributed Rough Set Based Locality Sensitive Hashing Feature Selection Technique. Fundam. Informaticae 182(2): 111-179 (2021) - [e3]Christine Zarges, Sébastien Vérel:
Evolutionary Computation in Combinatorial Optimization - 21st European Conference, EvoCOP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings. Lecture Notes in Computer Science 12692, Springer 2021, ISBN 978-3-030-72903-5 [contents] - 2020
- [j13]Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah:
A scalable and effective rough set theory-based approach for big data pre-processing. Knowl. Inf. Syst. 62(8): 3321-3386 (2020) - [c41]Lily Major, Amanda Clare, Jacqueline W. Daykin, Benjamin Mora, Leonel Jose Peña Gamboa, Christine Zarges:
Evaluation of a Permutation-Based Evolutionary Framework for Lyndon Factorizations. PPSN (1) 2020: 390-403 - [p2]Christine Zarges:
Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization. Theory of Evolutionary Computation 2020: 443-474 - [e2]Luís Paquete, Christine Zarges:
Evolutionary Computation in Combinatorial Optimization - 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings. Lecture Notes in Computer Science 12102, Springer 2020, ISBN 978-3-030-43679-7 [contents]
2010 – 2019
- 2019
- [j12]Pietro S. Oliveto, Dirk Sudholt, Christine Zarges:
On the benefits and risks of using fitness sharing for multimodal optimisation. Theor. Comput. Sci. 773: 53-70 (2019) - [c40]Jun He, Thomas Jansen, Christine Zarges:
Unlimited budget analysis. GECCO (Companion) 2019: 427-428 - [c39]Amanda Clare, Jacqueline W. Daykin, Thomas Mills, Christine Zarges:
Evolutionary search techniques for the Lyndon factorization of biosequences. GECCO (Companion) 2019: 1543-1550 - [i2]Jun He, Thomas Jansen, Christine Zarges:
Unlimited Budget Analysis of Randomised Search Heuristics. CoRR abs/1909.03342 (2019) - 2018
- [j11]Christine Zarges:
Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead - The MIT Press, 2016, pp 312, ISBN: 9780262035224. Genet. Program. Evolvable Mach. 19(1-2): 301-303 (2018) - [c38]Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Hanene Azzag, Mustapha Lebbah:
A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing. IEEE BigData 2018: 2597-2606 - [c37]Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah:
Nouveau Modèle de Sélection de Caractéristiques basé sur la Théorie des Ensembles Approximatifs pour les Données Massives. EGC 2018: 377-378 - [c36]Ales Zamuda, Miguel Nicolau, Christine Zarges:
A black-box discrete optimization benchmarking (BB-DOB) pipeline survey: taxonomy, evaluation, and ranking. GECCO (Companion) 2018: 1777-1782 - [c35]Zaineb Chelly Dagdia, Christine Zarges, Benjamin Schannes, Martin Micalef, Lino Galiana, Benoît Rolland, Olivier de Fresnoye, Mehdi Benchoufi:
Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction. ECML/PKDD (3) 2018: 440-455 - [c34]Thomas Jansen, Christine Zarges:
Theoretical Analysis of Lexicase Selection in Multi-objective Optimization. PPSN (2) 2018: 153-164 - [c33]Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wróbel, Ales Zamuda:
Workshops at PPSN 2018. PPSN (2) 2018: 490-497 - 2017
- [j10]Dogan Corus, Jun He, Thomas Jansen, Pietro S. Oliveto, Dirk Sudholt, Christine Zarges:
On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation. Algorithmica 78(2): 714-740 (2017) - [c32]Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah:
A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework. IEEE BigData 2017: 911-916 - [c31]Ales Zamuda, Christine Zarges, Gregor Stiglic, Goran Hrovat:
Stability selection using a genetic algorithm and logistic linear regression on healthcare records. GECCO (Companion) 2017: 143-144 - [c30]Andrei Lissovoi, Dirk Sudholt, Markus Wagner, Christine Zarges:
Theoretical results on bet-and-run as an initialisation strategy. GECCO 2017: 857-864 - 2016
- [c29]Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, Nur Zincir-Heywood:
Women@GECCO 2016 Chairs' Welcome. GECCO (Companion) 2016: 1447-1449 - [c28]Thomas Jansen, Christine Zarges:
Example Landscapes to Support Analysis of Multimodal Optimisation. PPSN 2016: 792-802 - [c27]Christian Blum, Christine Zarges:
The Workshops at PPSN 2016. PPSN 2016: 1007-1011 - 2015
- [j9]Thomas Jansen, Christine Zarges:
Analysis of Randomised Search Heuristics for Dynamic Optimisation. Evol. Comput. 23(4): 513-541 (2015) - [j8]Pietro S. Oliveto, Christine Zarges:
Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change. Theor. Comput. Sci. 561: 37-56 (2015) - [c26]Ayush Joshi, Jonathan E. Rowe, Christine Zarges:
Improving the Performance of the Germinal Center Artificial Immune System Using \epsilon -Dominance: A Multi-objective Knapsack Problem Case Study. EvoCOP 2015: 114-125 - [c25]Dogan Corus, Jun He, Thomas Jansen, Pietro S. Oliveto, Dirk Sudholt, Christine Zarges:
On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations. GECCO 2015: 1399-1406 - [e1]Jun He, Thomas Jansen, Gabriela Ochoa, Christine Zarges:
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17 - 20, 2015. ACM 2015, ISBN 978-1-4503-3434-1 [contents] - 2014
- [j7]Thomas Jansen, Christine Zarges:
Performance analysis of randomised search heuristics operating with a fixed budget. Theor. Comput. Sci. 545: 39-58 (2014) - [j6]Thomas Jansen, Christine Zarges:
Reevaluating Immune-Inspired Hypermutations Using the Fixed Budget Perspective. IEEE Trans. Evol. Comput. 18(5): 674-688 (2014) - [c24]Thomas Jansen, Christine Zarges:
Artificial immune systems for optimisation. GECCO (Companion) 2014: 749-764 - [c23]Thomas Jansen, Christine Zarges:
Evolutionary algorithms and artificial immune systems on a bi-stable dynamic optimisation problem. GECCO 2014: 975-982 - [c22]Ayush Joshi, Jonathan E. Rowe, Christine Zarges:
An Immune-Inspired Algorithm for the Set Cover Problem. PPSN 2014: 243-251 - [c21]Pietro S. Oliveto, Dirk Sudholt, Christine Zarges:
On the Runtime Analysis of Fitness Sharing Mechanisms. PPSN 2014: 932-941 - 2013
- [j5]Benjamin Doerr, Thomas Jansen, Dirk Sudholt, Carola Winzen, Christine Zarges:
Mutation Rate Matters Even When Optimizing Monotonic Functions. Evol. Comput. 21(1): 1-27 (2013) - [c20]Thomas Jansen, Pietro S. Oliveto, Christine Zarges:
Approximating vertex cover using edge-based representations. FOGA 2013: 87-96 - [c19]Thomas Jansen, Christine Zarges:
Artificial immune systems for optimisation. GECCO (Companion) 2013: 779-796 - [c18]Pietro S. Oliveto, Christine Zarges:
Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change. GECCO 2013: 837-844 - [c17]Benjamin Doerr, Thomas Jansen, Carsten Witt, Christine Zarges:
A method to derive fixed budget results from expected optimisation times. GECCO 2013: 1581-1588 - 2012
- [c16]Thomas Jansen, Christine Zarges:
Artificial immune systems for optimisation. GECCO (Companion) 2012: 1059-1078 - [c15]Thomas Jansen, Christine Zarges:
Fixed budget computations: a different perspective on run time analysis. GECCO 2012: 1325-1332 - [c14]Thomas Jansen, Christine Zarges:
Computing Longest Common Subsequences with the B-Cell Algorithm. ICARIS 2012: 111-124 - 2011
- [b1]Christine Zarges:
Theoretical Foundations of Artificial Immune Systems. Universität Dortmund, 2011, pp. I-V, 1-284 - [j4]Thomas Jansen, Christine Zarges:
On the role of age diversity for effective aging operators. Evol. Intell. 4(2): 99-125 (2011) - [j3]Thomas Jansen, Christine Zarges:
Analyzing different variants of immune inspired somatic contiguous hypermutations. Theor. Comput. Sci. 412(6): 517-533 (2011) - [j2]Thomas Jansen, Christine Zarges:
On benefits and drawbacks of aging strategies for randomized search heuristics. Theor. Comput. Sci. 412(6): 543-559 (2011) - [c13]Thomas Jansen, Christine Zarges:
Analysis of evolutionary algorithms: from computational complexity analysis to algorithm engineering. FOGA 2011: 1-14 - [c12]Thomas Jansen, Pietro S. Oliveto, Christine Zarges:
On the Analysis of the Immune-Inspired B-Cell Algorithm for the Vertex Cover Problem. ICARIS 2011: 117-131 - [c11]Thomas Jansen, Christine Zarges:
Variation in Artificial Immune Systems: Hypermutations with Mutation Potential. ICARIS 2011: 132-145 - [p1]Christine Zarges:
Theorie künstlicher Immunsysteme. Ausgezeichnete Informatikdissertationen 2011: 301-310 - 2010
- [c10]Thomas Jansen, Christine Zarges:
Aging beyond restarts. GECCO 2010: 705-712 - [c9]Thomas Jansen, Christine Zarges:
On the Benefits of Aging and the Importance of Details. ICARIS 2010: 61-74 - [c8]Dirk Sudholt, Christine Zarges:
Analysis of an Iterated Local Search Algorithm for Vertex Coloring. ISAAC (1) 2010: 340-352 - [c7]Benjamin Doerr, Thomas Jansen, Dirk Sudholt, Carola Winzen, Christine Zarges:
Optimizing Monotone Functions Can Be Difficult. PPSN (1) 2010: 42-51 - [i1]Benjamin Doerr, Thomas Jansen, Dirk Sudholt, Carola Winzen, Christine Zarges:
Optimizing Monotone Functions Can Be Difficult. CoRR abs/1010.1429 (2010)
2000 – 2009
- 2009
- [j1]Thomas Jansen, Melanie Schmidt, Dirk Sudholt, Carsten Witt, Christine Zarges:
Ingo Wegener. Evol. Comput. 17(1): 1-2 (2009) - [c6]Christine Zarges:
On the utility of the population size for inversely fitness proportional mutation rates. FOGA 2009: 39-46 - [c5]Christian Horoba, Thomas Jansen, Christine Zarges:
Maximal age in randomized search heuristics with aging. GECCO 2009: 803-810 - [c4]Thomas Jansen, Christine Zarges:
A Theoretical Analysis of Immune Inspired Somatic Contiguous Hypermutations for Function Optimization. ICARIS 2009: 80-94 - [c3]Thomas Jansen, Christine Zarges:
Comparing Different Aging Operators. ICARIS 2009: 95-108 - 2008
- [c2]Christine Zarges:
Rigorous Runtime Analysis of Inversely Fitness Proportional Mutation Rates. PPSN 2008: 112-122 - 2006
- [c1]Walter Nisticò, Matthias Hebbel, Thorsten Kerkhof, Christine Zarges:
Cooperative Visual Tracking in a Team of Autonomous Mobile Robots. RoboCup 2006: 146-157
Coauthor Index
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last updated on 2024-12-02 21:24 CET by the dblp team
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