| 2026 | GECCO | Constructing Streams of Optimization Instances for Benchmarking Algorithm Selection and Configuration Approaches in Streaming Scenarios. | Margherita Battistotti, Manuel Lpez-Ibez, Kate Smith-Miles, Julia Handl, Mario Andrs Muoz |
| 2026 | GECCO | An Efficient Hybrid Racing Method for Portfolio Configuration. | Anthony Rasulo, Manuel Lpez-Ibez, Julia Handl, Mario Andrs Muoz, Kate Smith-Miles |
| 2025 | GECCO | Multiobjective Ingredient Optimization for Recipe Planning. | Nga Man Chan, Julia Handl |
| 2025 | GECCO | Partition2Vec - Towards Representation Learning for Evolutionary Clustering using Siamese Autoencoders. | Julia Handl |
| 2025 | GECCO | School Bus Routing for Pupils with Special Needs Under Uncertainty: An Averaging Approach. | Ozioma Paul, Julia Handl, Manuel Lpez-Ibez |
| 2024 | GECCO | A Review of Randomness Techniques in Deep Neural Networks. | Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl |
| 2024 | GECCO | Extending Instance Space Analysis to Algorithm Configuration Spaces. | Anthony Rasulo, Kate Smith-Miles, Mario A. Muoz, Julia Handl, Manuel Lpez-Ibez |
| 2023 | GECCO | Capacitated School Bus Routing Problem with Time Windows, Heterogeneous Fleets and Travel Assistants. | Ozioma Paul, Julia Handl, Manuel Lpez-Ibez |
| 2022 | PPSN | Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. | Adn Jos Garca, Julie Jacques, Alexandre Filiot, Julia Handl, David Launay, Vincent Sobanski, Clarisse Dhaenens |
| 2021 | EMO | On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering. | Adn Jos Garca, Julia Handl |
| 2019 | GECCO | Many-view clustering: an illustration using multiple dissimilarity measures. | Adn Jos Garca, Julia Handl, Wilfrido Gmez-Flores, Mario Garza-Fabre |
| 2019 | GECCO | Evolving controllably difficult datasets for clustering. | Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane |
| 2019 | IDEAL | Studying the Evolution of the 'Circular Economy' Concept Using Topic Modelling. | Sampriti Mahanty, Frank Boons, Julia Handl, Riza Batista-Navarro |
| 2019 | IDEAL | A Clustering-Based Patient Grouper for Burn Care. | Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn |
| 2018 | GECCO | Towards an adaptive encoding for evolutionary data clustering. | Cameron Shand, Richard Allmendinger, Julia Handl, John Keane |
| 2017 | CIBCB | CVis - Towards a novel visualization tool to explore the relationship between input and output partitions in multi-objective clustering ensembles. | Katti Faceli, Tiemi C. Sakata, Julia Handl |
| 2017 | EMO | A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. | Mario Garza-Fabre, Julia Handl, Joshua D. Knowles |
| 2017 | GECCO | On heuristic bias in fragment-assembly methods for protein structure prediction. | Julia Handl, Mario Garza-Fabre, Shaun M. Kandathil, Simon C. Lovell |
| 2016 | GECCO | Women@GECCO 2016 Chairs' Welcome. | Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, Nur Zincir-Heywood |
| 2016 | GECCO | Workshop Evolutionary Computation in Computational Structural Biology 2016 Chairs' Welcome. | Jos Santos Reyes, Julia Handl, Amarda Shehu |
| 2015 | GECCO | Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. | Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell |
| 2015 | IWINAC | Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation. | Emiao Lu, Julia Handl |
| 2013 | EMO | Evidence Accumulation in Multiobjective Data Clustering. | Julia Handl, Joshua D. Knowles |
| 2013 | GECCO | Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. | Ricardo Aler, Julia Handl, Joshua D. Knowles |
| 2012 | PPSN | Clustering Criteria in Multiobjective Data Clustering. | Julia Handl, Joshua D. Knowles |
| 2008 | PPSN | Multiobjectivization by Decomposition of Scalar Cost Functions. | Julia Handl, Simon C. Lovell, Joshua D. Knowles |
| 2008 | PPSN | Investigations into the Effect of Multiobjectivization in Protein Structure Prediction. | Julia Handl, Simon C. Lovell, Joshua D. Knowles |
| 2006 | GECCO | On semi-supervised clustering via multiobjective optimization. | Julia Handl, Joshua D. Knowles |
| 2006 | IJCNN | Semi-supervised feature selection via multiobjective optimization. | Julia Handl, Joshua D. Knowles |
| 2006 | PPSN | An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. | Julia Handl, Joshua D. Knowles |
| 2005 | CEC | Multiobjective clustering around medoids. | Julia Handl, Joshua D. Knowles |
| 2005 | CEC | Improvements to the scalability of multiobjective clustering. | Julia Handl, Joshua D. Knowles |
| 2005 | EMO | Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. | Julia Handl, Joshua D. Knowles |
| 2004 | PPSN | Evolutionary Multiobjective Clustering. | Julia Handl, Joshua D. Knowles |
| 2003 | HIS | On the Performance of Ant-based Clustering. | Julia Handl, Joshua D. Knowles, Marco Dorigo |
| 2002 | PPSN | Improved Ant-Based Clustering and Sorting. | Julia Handl, Bernd Meyer |