Julia Handl

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 34

Top Venues

GECCO (Companion)

CoRR

IEEE Trans. Evol. Comput.

GECCO Companion

Manchester, Univ. (PHD)

Education History

Manchester, Univ.

PHD

Publications

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 (2024)
Anthony Rasulo, Kate Smith-Miles, Mario A. Muñoz, Julia Handl, Manuel López-Ibáñez
Extending Instance Space Analysis to Algorithm Configuration Spaces. GECCO Companion (2024)
Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl
A Review of Randomness Techniques in Deep Neural Networks. GECCO Companion (2024)
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 (2024)
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 (2024)
Mario Garza-Fabre, Julia Handl, Adán José García
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views. IEEE Trans. Evol. Comput. 27 (4) (2023)
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) (2023)
Ozioma Paul, Julia Handl, Manuel López-Ibáñez
Capacitated School Bus Routing Problem with Time Windows, Heterogeneous Fleets and Travel Assistants. GECCO Companion (2023)
Syu-Ning Johnn, Victor-Alexandru Darvariu, Julia Handl, Jörg Kalcsics
GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic. OLA (2023)
Syu-Ning Johnn, Victor-Alexandru Darvariu, Julia Handl, Jörg Kalcsics
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic. CoRR (2023)
Blandine Chipot, Gianis Priovolos, Pouya Aghaei Pour, Julia Handl
Multiobjective optimisation and decision making for vessel routing - a prototype and case study. SSCI (2022)
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) (2022)
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)
Adán José García, Julia Handl
On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering. EMO (2021)
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 (2021)
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) (2021)
Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. CoRR (2021)
Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Kenneth W. Dunn
Towards a fairer reimbursement system for burn patients using cost-sensitive classification. CoRR (2021)
Sampriti Mahanty, Frank Boons, Julia Handl, Riza Theresa Batista-Navarro
Understanding the Evolution of Circular Economy through Language Change. LChange@ACL (2019)
Adán José García, Julia Handl, Wilfrido Gómez-Flores, Mario Garza-Fabre
Many-view clustering: an illustration using multiple dissimilarity measures. GECCO (Companion) (2019)
Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane
Evolving controllably difficult datasets for clustering. GECCO (2019)
Sampriti Mahanty, Frank Boons, Julia Handl, Riza Batista-Navarro
Studying the Evolution of the 'Circular Economy' Concept Using Topic Modelling. IDEAL (2) (2019)
Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn
A Clustering-Based Patient Grouper for Burn Care. IDEAL (2) (2019)
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) (2018)
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) (2018)
Cameron Shand, Richard Allmendinger, Julia Handl, John Keane
Towards an adaptive encoding for evolutionary data clustering. GECCO (2018)
Mario Garza-Fabre, Julia Handl, Joshua D. Knowles
An Improved and More Scalable Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. 22 (4) (2018)
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)
Mario Garza-Fabre, Julia Handl, Joshua D. Knowles
A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. EMO (2017)
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)
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 (2017)
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) (2016)
José Santos, Julia Handl, Amarda Shehu
Workshop Evolutionary Computation in Computational Structural Biology 2016 Chairs' Welcome. GECCO (Companion) (2016)
Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, A. Nur Zincir-Heywood
Women@GECCO 2016 Chairs' Welcome. GECCO (Companion) (2016)
Emiao Lu, Julia Handl
Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation. IWINAC (2) (2015)
Andrew M. Webb, Julia Handl, Joshua D. Knowles
How Much Should You Select for Evolvability? ECAL (2015)
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)
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)
Richard Allmendinger, Julia Handl, Joshua D. Knowles
Multiobjective optimization: When objectives exhibit non-uniform latencies. Eur. J. Oper. Res. 243 (2) (2015)
Julia Handl, Joshua D. Knowles
Evidence Accumulation in Multiobjective Data Clustering. EMO (2013)
Ricardo Aler, Julia Handl, Joshua D. Knowles
Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. GECCO (2013)
Julia Handl, Joshua D. Knowles
Clustering Criteria in Multiobjective Data Clustering. PPSN (2) (2012)
Delali A. Adiamah, Julia Handl, Jean-Marc Schwartz
Streamlining the construction of large-scale dynamic models using generic kinetic equations. Bioinform. 26 (10) (2010)
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) (2009)
Julia Handl, Simon C. Lovell, Joshua D. Knowles
Multiobjectivization by Decomposition of Scalar Cost Functions. PPSN (2008)
Julia Handl, Simon C. Lovell, Joshua D. Knowles
Investigations into the Effect of Multiobjectivization in Protein Structure Prediction. PPSN (2008)
Julia Handl, Joshua D. Knowles
An Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. 11 (1) (2007)
Julia Handl, Douglas B. Kell, Joshua D. Knowles
Multiobjective Optimization in Bioinformatics and Computational Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (2) (2007)
Julia Handl, Bernd Meyer
Ant-based and swarm-based clustering. Swarm Intell. 1 (2) (2007)
Julia Handl, Joshua D. Knowles
An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. PPSN (2006)
Julia Handl, Joshua D. Knowles
Semi-supervised feature selection via multiobjective optimization. IJCNN (2006)
Julia Handl, Joshua D. Knowles
On semi-supervised clustering via multiobjective optimization. GECCO (2006)
Julia Handl, Joshua D. Knowles, Marco Dorigo
Ant-Based Clustering and Topographic Mapping. Artif. Life 12 (1) (2006)
Julia Handl, Joshua D. Knowles
Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. EMO (2005)
Julia Handl, Joshua D. Knowles, Douglas B. Kell
Computational cluster validation in post-genomic data analysis. Bioinform. 21 (15) (2005)
Julia Handl, Joshua D. Knowles
Improvements to the scalability of multiobjective clustering. Congress on Evolutionary Computation (2005)
Julia Handl, Joshua D. Knowles
Multiobjective clustering around medoids. Congress on Evolutionary Computation (2005)
Julia Handl, Joshua D. Knowles
Evolutionary Multiobjective Clustering. PPSN (2004)
Julia Handl, Joshua D. Knowles, Marco Dorigo
Strategies for the Increased Robustness of Ant-Based Clustering. Engineering Self-Organising Systems (2003)
Julia Handl, Joshua D. Knowles, Marco Dorigo
On the Performance of Ant-based Clustering. HIS (2003)
Julia Handl, Bernd Meyer
Improved Ant-Based Clustering and Sorting. PPSN (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Julia Handl