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Publication search results
found 25 matches
- 2024
- Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Robust Neural Architecture Search Using Differential Evolution for Medical Images. EvoApplications@EvoStar 2024: 163-179 - Andrejaana Andova, Jordan N. Cork, Aljosa Vodopija, Tea Tusar, Bogdan Filipic:
Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack. EvoApplications@EvoStar 2024: 310-325 - Harsh Bandhey, Sphia Sadek, Malek Kamoun, Ryan J. Urbanowicz:
Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification. EvoApplications@EvoStar 2024: 225-239 - Jill Baumann, Oliver Kramer:
Evolutionary Multi-objective Optimization of Large Language Model Prompts for Balancing Sentiments. EvoApplications@EvoStar 2024: 212-224 - Emilio Bernal-Zubieta, Jesús Guillermo Falcón-Cardona, Jorge M. Cruz-Duarte:
DeepEMO: A Multi-indicator Convolutional Neural Network-Based Evolutionary Multi-objective Algorithm. EvoApplications@EvoStar 2024: 130-146 - Tinkle Chugh, Alexander Evans:
Integrating Bayesian and Evolutionary Approaches for Multi-objective Optimisation. EvoApplications@EvoStar 2024: 391-406 - Luana Clare, Alexandra Marques, João Correia:
A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks. EvoApplications@EvoStar 2024: 147-162 - Gabriel Cortês, Nuno Lourenço, Penousal Machado:
Towards Physical Plausibility in Neuroevolution Systems. EvoApplications@EvoStar 2024: 76-90 - Tyler Cowan, Brian J. Ross:
Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains. EvoApplications@EvoStar 2024: 345-360 - Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque:
An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation. EvoApplications@EvoStar 2024: 240-255 - Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante:
Progressive Self-supervised Multi-objective NAS for Image Classification. EvoApplications@EvoStar 2024: 180-195 - Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic:
Leveraging More of Biology in Evolutionary Reinforcement Learning. EvoApplications@EvoStar 2024: 91-114 - Marshall Joseph, Brian J. Ross:
Using Evolution and Deep Learning to Generate Diverse Intelligent Agents. EvoApplications@EvoStar 2024: 361-375 - Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer:
A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour. EvoApplications@EvoStar 2024: 115-129 - Pavel Krömer, Vojtech Uher, Tea Tusar, Bogdan Filipic:
On the Latent Structure of the bbob-biobj Test Suite. EvoApplications@EvoStar 2024: 326-341 - Corentin Léger, Gautier Hamon, Eleni Nisioti, Xavier Hinaut, Clément Moulin-Frier:
Evolving Reservoirs for Meta Reinforcement Learning. EvoApplications@EvoStar 2024: 36-60 - Atanu Mazumdar, Ville Kyrki:
Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control. EvoApplications@EvoStar 2024: 61-75 - David Pätzel, Richard Nordsieck, Jörg Hähner:
Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners. EvoApplications@EvoStar 2024: 256-272 - Johannes J. Pienaar, Anna S. Bosman, Katherine M. Malan:
Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling. EvoApplications@EvoStar 2024: 293-309 - Didrik Spanne Reilstad, Kai Olav Ellefsen:
Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution. EvoApplications@EvoStar 2024: 19-35 - Amani Sagri, Tristan Cazenave, Jérôme Arjonilla, Abdallah Saffidine:
Vision Transformers for Computer Go. EvoApplications@EvoStar 2024: 376-388 - Erdi Sayar, Vladislav Vintaykin, Giovanni Iacca, Alois Knoll:
Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation. EvoApplications@EvoStar 2024: 3-18 - Michail-Antisthenis I. Tsompanas:
Incremental Growth on Compositional Pattern Producing Networks Based Optimization of Biohybrid Actuators. EvoApplications@EvoStar 2024: 275-289 - Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. EvoApplications@EvoStar 2024: 196-211 - Stephen L. Smith, João Correia, Christian Cintrano:
Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14635, Springer 2024, ISBN 978-3-031-56854-1 [contents]
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