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ORCIDJulia Handl
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- affiliation: University of Manchester, UK
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2020 – today
- 2024
[j21]Syu-Ning Johnn
, Victor-Alexandru Darvariu, Julia Handl, Jörg Kalcsics:
A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search. Comput. Oper. Res. 172: 106791 (2024)- [j20]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl:
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. Inf. Sci. 667: 120500 (2024) - [c36]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl:
A Review of Randomness Techniques in Deep Neural Networks. GECCO Companion 2024: 23-24 - [c35]Anthony Rasulo, Kate Smith-Miles, Mario A. Muñoz, Julia Handl, Manuel López-Ibáñez:
Extending Instance Space Analysis to Algorithm Configuration Spaces. GECCO Companion 2024: 147-150 - [e3]Xiaodong Li, Julia Handl:
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024. ACM 2024, ISBN 979-8-4007-0494-9 [contents] - [e2]Xiaodong Li, Julia Handl:
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024. ACM 2024, ISBN 979-8-4007-0495-6 [contents] - [i4]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl:
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. CoRR abs/2404.03992 (2024) - 2023
- [j19]Adán José García, Julia Handl:
What's in a distance? Exploring the interplay between distance measures and internal cluster validity in multi-objective clustering. Nat. Comput. 22(2): 259-270 (2023) - [j18]Mario Garza-Fabre, Julia Handl, Adán José García:
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views. IEEE Trans. Evol. Comput. 27(4): 817-831 (2023) - [c34]Ozioma Paul, Julia Handl, Manuel López-Ibáñez:
Capacitated School Bus Routing Problem with Time Windows, Heterogeneous Fleets and Travel Assistants. GECCO Companion 2023: 2374-2377 - [c33]Syu-Ning Johnn, Victor-Alexandru Darvariu, Julia Handl, Jörg Kalcsics:
GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic. OLA 2023: 200-212 - [i3]Syu-Ning Johnn, Victor-Alexandru Darvariu, Julia Handl, Jörg Kalcsics:
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic. CoRR abs/2302.14678 (2023) - 2022
- [j17]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. IEEE Trans. Evol. Comput. 26(6): 1206-1220 (2022) - [c32]Adán José García, Julie Jacques, Alexandre Filiot, Julia Handl, David Launay, Vincent Sobanski, Clarisse Dhaenens:
Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. PPSN (2) 2022: 352-367 - [c31]Blandine Chipot, Gianis Priovolos, Pouya Aghaei Pour, Julia Handl:
Multiobjective optimisation and decision making for vessel routing - a prototype and case study. SSCI 2022: 94-100 - [d1]Mario Garza-Fabre, Julia Handl:
Protein Structure and Synthetic Multi-view Clustering Datasets. IEEE DataPort, 2022
- 2021
- [j16]Adán José García, Julia Handl, Wilfrido Gómez-Flores, Mario Garza-Fabre:
An evolutionary many-objective approach to multiview clustering using feature and relational data. Appl. Soft Comput. 108: 107425 (2021) - [j15]Basma H. Albanna, Julia Handl, Richard Heeks:
Publication outperformance among global South researchers: An analysis of individual-level and publication-level predictors of positive deviance. Scientometrics 126(10): 8375-8431 (2021) - [c30]Adán José García, Julia Handl:
On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering. EMO 2021: 504-515 - [i2]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. CoRR abs/2102.06940 (2021) - [i1]Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Kenneth W. Dunn:
Towards a fairer reimbursement system for burn patients using cost-sensitive classification. CoRR abs/2107.00531 (2021)
2010 – 2019
- 2019
- [c29]Sampriti Mahanty, Frank Boons, Julia Handl, Riza Theresa Batista-Navarro:
Understanding the Evolution of Circular Economy through Language Change. LChange@ACL 2019: 250-253 - [c28]Adán José García, Julia Handl, Wilfrido Gómez-Flores, Mario Garza-Fabre:
Many-view clustering: an illustration using multiple dissimilarity measures. GECCO (Companion) 2019: 213-214 - [c27]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
Evolving controllably difficult datasets for clustering. GECCO 2019: 463-471 - [c26]Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn:
A Clustering-Based Patient Grouper for Burn Care. IDEAL (2) 2019: 123-131 - [c25]Sampriti Mahanty, Frank Boons, Julia Handl, Riza Batista-Navarro:
Studying the Evolution of the 'Circular Economy' Concept Using Topic Modelling. IDEAL (2) 2019: 259-270 - 2018
- [j14]Juan Esteban Diaz, Julia Handl, Dong-Ling Xu:
Integrating meta-heuristics, simulation and exact techniques for production planning of a failure-prone manufacturing system. Eur. J. Oper. Res. 266(3): 976-989 (2018) - [j13]Julia Handl, Amarda Shehu, José Santos Reyes:
Advances in the Application and Development of Non-Linear Global Optimization Techniques in Computational Structural Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 688-689 (2018) - [j12]Mario Garza-Fabre, Julia Handl, Joshua D. Knowles:
An Improved and More Scalable Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. 22(4): 515-535 (2018) - [c24]Cameron Shand, Richard Allmendinger, Julia Handl, John Keane:
Towards an adaptive encoding for evolutionary data clustering. GECCO 2018: 521-528 - 2017
- [j11]Juan Esteban Diaz, Julia Handl, Dong-Ling Xu:
Evolutionary robust optimization in production planning - interactions between number of objectives, sample size and choice of robustness measure. Comput. Oper. Res. 79: 266-278 (2017) - [c23]Katti Faceli, Tiemi C. Sakata, Julia Handl:
CVis - Towards a novel visualization tool to explore the relationship between input and output partitions in multi-objective clustering ensembles. CIBCB 2017: 1-6 - [c22]Mario Garza-Fabre, Julia Handl, Joshua D. Knowles:
A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. EMO 2017: 236-251 - [c21]Julia Handl, Mario Garza-Fabre, Shaun M. Kandathil, Simon C. Lovell:
On heuristic bias in fragment-assembly methods for protein structure prediction. GECCO (Companion) 2017: 1652-1656 - [r2]David W. Corne, Julia Handl, Joshua D. Knowles:
Evolutionary Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 423-429 - 2016
- [j10]Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell:
Generating, Maintaining, and Exploiting Diversity in a Memetic Algorithm for Protein Structure Prediction. Evol. Comput. 24(4): 577-607 (2016) - [c20]José Santos Reyes, Julia Handl, Amarda Shehu:
Workshop Evolutionary Computation in Computational Structural Biology 2016 Chairs' Welcome. GECCO (Companion) 2016: 1283-1284 - [c19]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 - [e1]Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter:
Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Lecture Notes in Computer Science 9921, Springer 2016, ISBN 978-3-319-45822-9 [contents] - 2015
- [j9]Richard Allmendinger, Julia Handl, Joshua D. Knowles:
Multiobjective optimization: When objectives exhibit non-uniform latencies. Eur. J. Oper. Res. 243(2): 497-513 (2015) - [j8]Juan Esteban Diaz, Julia Handl:
Implicit and Explicit Averaging Strategies for Simulation-Based Optimization of a Real-World Production Planning Problem. Informatica (Slovenia) 39(2) (2015) - [c18]Andrew M. Webb, Julia Handl, Joshua D. Knowles:
How Much Should You Select for Evolvability? ECAL 2015: 487-494 - [c17]Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell:
Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. GECCO (Companion) 2015: 935-938 - [c16]Emiao Lu, Julia Handl:
Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation. IWINAC (2) 2015: 379-388 - 2013
- [c15]Julia Handl, Joshua D. Knowles:
Evidence Accumulation in Multiobjective Data Clustering. EMO 2013: 543-557 - [c14]Ricardo Aler, Julia Handl, Joshua D. Knowles:
Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. GECCO 2013: 1029-1036 - 2012
- [c13]Julia Handl, Joshua D. Knowles:
Clustering Criteria in Multiobjective Data Clustering. PPSN (2) 2012: 32-41 - 2010
- [j7]Delali A. Adiamah, Julia Handl, Jean-Marc Schwartz:
Streamlining the construction of large-scale dynamic models using generic kinetic equations. Bioinform. 26(10): 1324-1331 (2010) - [r1]David Corne, Julia Handl, Joshua D. Knowles:
Evolutionary Clustering. Encyclopedia of Machine Learning 2010: 332-337
2000 – 2009
- 2009
- [j6]Julia Handl, Joshua D. Knowles, Simon C. Lovell:
Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction. Bioinform. 25(10): 1271-1279 (2009) - 2008
- [c12]Julia Handl, Simon C. Lovell, Joshua D. Knowles:
Multiobjectivization by Decomposition of Scalar Cost Functions. PPSN 2008: 31-40 - [c11]Julia Handl, Simon C. Lovell, Joshua D. Knowles:
Investigations into the Effect of Multiobjectivization in Protein Structure Prediction. PPSN 2008: 702-711 - [p2]Julia Handl, Joshua D. Knowles:
Modes of Problem Solving with Multiple Objectives: Implications for Interpreting the Pareto Set and for Decision Making. Multiobjective Problem Solving from Nature 2008: 131-151 - 2007
- [j5]Julia Handl, Bernd Meyer:
Ant-based and swarm-based clustering. Swarm Intell. 1(2): 95-113 (2007) - [j4]Julia Handl, Douglas B. Kell, Joshua D. Knowles:
Multiobjective Optimization in Bioinformatics and Computational Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 4(2): 279-292 (2007) - [j3]Julia Handl, Joshua D. Knowles:
An Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. 11(1): 56-76 (2007) - 2006
- [b1]Julia Handl:
Multiobjective approaches to the data driven analysis of biological systems. Manchester, Univ., 2006, ISBN 978-3-8322-5490-2, pp. 1-228 - [j2]Julia Handl, Joshua D. Knowles, Marco Dorigo:
Ant-Based Clustering and Topographic Mapping. Artif. Life 12(1): 35-62 (2006) - [c10]Julia Handl, Joshua D. Knowles:
On semi-supervised clustering via multiobjective optimization. GECCO 2006: 1465-1472 - [c9]Julia Handl, Joshua D. Knowles:
Semi-supervised feature selection via multiobjective optimization. IJCNN 2006: 3319-3326 - [c8]Julia Handl, Joshua D. Knowles:
An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. PPSN 2006: 839-849 - [p1]Julia Handl, Joshua D. Knowles:
Multi-Objective Clustering and Cluster Validation. Multi-Objective Machine Learning 2006: 21-47 - 2005
- [j1]Julia Handl, Joshua D. Knowles, Douglas B. Kell:
Computational cluster validation in post-genomic data analysis. Bioinform. 21(15): 3201-3212 (2005) - [c7]Julia Handl, Joshua D. Knowles:
Multiobjective clustering around medoids. Congress on Evolutionary Computation 2005: 632-639 - [c6]Julia Handl, Joshua D. Knowles:
Improvements to the scalability of multiobjective clustering. Congress on Evolutionary Computation 2005: 2372-2379 - [c5]Julia Handl, Joshua D. Knowles:
Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. EMO 2005: 547-560 - 2004
- [c4]Julia Handl, Joshua D. Knowles:
Evolutionary Multiobjective Clustering. PPSN 2004: 1081-1091 - 2003
- [c3]Julia Handl, Joshua D. Knowles, Marco Dorigo:
Strategies for the Increased Robustness of Ant-Based Clustering. Engineering Self-Organising Systems 2003: 90-104 - [c2]Julia Handl, Joshua D. Knowles, Marco Dorigo:
On the Performance of Ant-based Clustering. HIS 2003: 204-213 - 2002
- [c1]Julia Handl, Bernd Meyer:
Improved Ant-Based Clustering and Sorting. PPSN 2002: 913-923
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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