Objective and reproducible segmentation and quantification of tuberous sclerosis lesions in FLAIR brain MR images. - Tanja Alderliesten; Wiro J. Niessen; Koen L. Vincken; J. B. Antoine Maintz; Floor Jansen; Onno van Nieuwenhuizen; Max A. Viergever (Image Processing, 2001)

Simulation of Guide Wire Propagation for Minimally Invasive Vascular Interventions. - Tanja Alderliesten; Maurits K. Konings; Wiro J. Niessen (MICCAI (2), 2002)

Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions. - Peter A. N. Bosman; Tanja Alderliesten (GECCO Workshops, 2005)

Modeling Friction, Intrinsic Curvature, and Rotation of Guide Wires for Simulation of Minimally Invasive Vascular Interventions. - Tanja Alderliesten; Maurits K. Konings; Wiro J. Niessen (IEEE Trans. Biomed. Eng., 2007)

Towards a Real-Time Minimally-Invasive Vascular Intervention Simulation System. - Tanja Alderliesten; Peter A. N. Bosman; Wiro J. Niessen (IEEE Trans. Medical Imaging, 2007)

Application of an image-guided navigation system in breast cancer localization. - Tanja Alderliesten; Claudette Loo; Angelique T. E. F. Schlief; Anita Paape; Michiel van der Meer; Kenneth G. A. Gilhuijs (Image-Guided Procedures, 2009)

Incremental gaussian model-building in multi-objective EDAs with an application to deformable image registration. - Peter A. N. Bosman; Tanja Alderliesten (GECCO, 2012)

Application of 3D surface imaging in breast cancer radiotherapy. - Tanja Alderliesten; Jan-Jakob Sonke; Anja Betgen; Joeri Honnef; Corine van Vliet-Vroegindeweij; Peter Remeijer (Image-Guided Procedures, 2012)

Multi-objective optimization for deformable image registration: proof of concept. - Tanja Alderliesten; Jan-Jakob Sonke; Peter A. N. Bosman (Image Processing, 2012)

Validation of 3D surface imaging in breath-hold radiotherapy for breast cancer: one central camera unit versus three camera units. - Tanja Alderliesten; Anja Betgen; Corine van Vliet-Vroegindeweij; Peter Remeijer (Image-Guided Procedures, 2013)

3D surface imaging for guidance in breast cancer radiotherapy: organs at risk. - Tanja Alderliesten; Anja Betgen; Corine van Vliet-Vroegindeweij; Peter Remeijer (Image-Guided Procedures, 2013)

Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences. - Tanja Alderliesten; Jan-Jakob Sonke; Peter A. N. Bosman (Image Processing, 2013)

A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences. - Tanja Alderliesten; Peter A. N. Bosman; Jan-Jakob Sonke; Arjan Bel (Image Processing, 2014)

Simultaneous quantitative assessment of cerebral physiology using respiratory-calibrated MRI and near-infrared spectroscopy in healthy adults. - Tanja Alderliesten; Jill B. De Vis; Petra M. A. Lemmers; Frank van Bel; Manon J. N. L. Benders; Jeroen Hendrikse; E. T. Petersen (NeuroImage, 2014)

Non-invasive MRI measurements of venous oxygenation, oxygen extraction fraction and oxygen consumption in neonates. - Jill B. De Vis; E. T. Petersen; Tanja Alderliesten; Floris Groenendaal; Linda S. de Vries; Frank van Bel; Manon J. N. L. Benders; Jeroen Hendrikse (NeuroImage, 2014)

Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration. - Kleopatra Pirpinia; Tanja Alderliesten; Jan-Jakob Sonke; Marcel van Herk; Peter A. N. Bosman (GECCO, 2015)

Getting the most out of additional guidance information in deformable image registration by leveraging multi-objective optimization. - Tanja Alderliesten; Peter A. N. Bosman; Arjan Bel (Image Processing, 2015)

On the usefulness of gradient information in multi-objective deformable image registration using a B-spline-based dual-dynamic transformation model: comparison of three optimization algorithms. - Kleopatra Pirpinia; Peter A. N. Bosman; Jan-Jakob Sonke; Marcel van Herk; Tanja Alderliesten (Image Processing, 2015)

4D cone-beam CT imaging for guidance in radiation therapy: setup verification by use of implanted fiducial markers. - Peng Jin; Niek van Wieringen; Maarten C. C. M. Hulshof; Arjan Bel; Tanja Alderliesten (Image-Guided Procedures, 2016)

Smart grid initialization reduces the computational complexity of multi-objective image registration based on a dual-dynamic transformation model to account for large anatomical differences. - Peter A. N. Bosman; Tanja Alderliesten (Image Processing, 2016)

A first step toward uncovering the truth about weight tuning in deformable image registration. - Kleopatra Pirpinia; Peter A. N. Bosman; Jan-Jakob Sonke; Marcel van Herk; Tanja Alderliesten (Image Processing, 2016)

T2-prepared velocity selective labelling: A novel idea for full-brain mapping of oxygen saturation. - Tanja Alderliesten; Jill B. De Vis; Petra M. A. Lemmers; Frank van Bel; Manon J. N. L. Benders; Jeroen Hendrikse; Esben Thade Petersen (NeuroImage, 2016)

Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. - Anton Bouter; Tanja Alderliesten; Cees Witteveen; Peter A. N. Bosman (GECCO, 2017)

The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm. - Anton Bouter; Ngoc Hoang Luong; Cees Witteveen; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2017)

Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection. - Anton Bouter; Kleopatra Pirpinia; Tanja Alderliesten; Peter A. N. Bosman (GECCO (Companion), 2017)

Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. - Ngoc Hoang Luong; Anton Bouter; Marjolein C. van der Meer; Yury Niatsetski; Cees Witteveen; Arjan Bel; Tanja Alderliesten; Peter A. N. Bosman (GECCO (Companion), 2017)

Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning. - S. C. Maree; Tanja Alderliesten; Dirk Thierens; Peter A. N. Bosman (GECCO, 2017)

Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm. - Krzysztof L. Sadowski; Marjolein C. van der Meer; Ngoc Hoang Luong; Tanja Alderliesten; Dirk Thierens; Rob van der Laarse; Yury Niatsetski; Arjan Bel; Peter A. N. Bosman (GECCO, 2017)

Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning. - Marco Virgolin; Tanja Alderliesten; Cees Witteveen; Peter A. N. Bosman (GECCO, 2017)

A novel model-based evolutionary algorithm for multi-objective deformable image registration with content mismatch and large deformations: benchmarking efficiency and quality. - Anton Bouter; Tanja Alderliesten; Peter A. N. Bosman (Image Processing, 2017)

Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems. - Anton Bouter; Tanja Alderliesten; Arjan Bel; Cees Witteveen; Peter A. N. Bosman (GECCO, 2018)

Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations. - Ngoc Hoang Luong; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2018)

Real-valued evolutionary multi-modal optimization driven by hill-valley clustering. - S. C. Maree; Tanja Alderliesten; Dirk Thierens; Peter A. N. Bosman (GECCO, 2018)

Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA. - Marjolein C. van der Meer; Bradley R. Pieters; Yury Niatsetski; Tanja Alderliesten; Arjan Bel; Peter A. N. Bosman (GECCO, 2018)

Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors. - Marco Virgolin; Tanja Alderliesten; Arjan Bel; Cees Witteveen; Peter A. N. Bosman (GECCO, 2018)

Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. - S. C. Maree; Tanja Alderliesten; Dirk Thierens; Peter A. N. Bosman (CoRR, 2018)

Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment. - Ngoc Hoang Luong; Tanja Alderliesten; Arjan Bel; Yury Niatsetski; Peter A. N. Bosman (Swarm Evol. Comput., 2018)

Convolutional neural network surrogate-assisted GOMEA. - Arkadiy Dushatskiy; Adriënne M. Mendrik; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2019)

Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering. - S. C. Maree; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2019)

Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression. - Marco Virgolin; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2019)

Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. - Kleopatra Pirpinia; Peter A. N. Bosman; Jan-Jakob Sonke; Marcel van Herk; Tanja Alderliesten (Image Processing, 2019)

Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration. - Kleopatra Pirpinia; Peter A. N. Bosman; Jan-Jakob Sonke; Marcel van Herk; Tanja Alderliesten (Algorithms, 2019)

Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy. - Ngoc Hoang Luong; Tanja Alderliesten; Bradley R. Pieters; Arjan Bel; Yury Niatsetski; Peter A. N. Bosman (Appl. Soft Comput., 2019)

A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions. - Marco Virgolin; Tanja Alderliesten; Cees Witteveen; Peter A. N. Bosman (CoRR, 2019)

Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization. - S. C. Maree; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2019)

Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms. - Marco Virgolin; Ziyuan Wang; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2019)

Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. - Anton Bouter; Stefanus C. Maree; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2020)

Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. - Arkadiy Dushatskiy; Adriënne M. Mendrik; Peter A. N. Bosman; Tanja Alderliesten (Image Processing, 2020)

An end-to-end deep learning approach for landmark detection and matching in medical images. - Monika Grewal; Timo M. Deist; Jan Wiersma; Peter A. N. Bosman; Tanja Alderliesten (Image Processing, 2020)

Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent. - Timo M. Deist; Stefanus C. Maree; Tanja Alderliesten; Peter A. N. Bosman (PPSN (2), 2020)

Ensuring Smoothly Navigable Approximation Sets by Bézier Curve Parameterizations in Evolutionary Bi-objective Optimization. - Stefanus C. Maree; Tanja Alderliesten; Peter A. N. Bosman (PPSN (2), 2020)

Robust Evolutionary Bi-objective Optimization for Prostate Cancer Treatment with High-Dose-Rate Brachytherapy. - Marjolein C. van der Meer; Arjan Bel; Yury Niatsetski; Tanja Alderliesten; Bradley R. Pieters; Peter A. N. Bosman (PPSN (2), 2020)

Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy. - Marco Virgolin; Ziyuan Wang; Brian V. Balgobind; Irma W. E. M. van Dijk; Jan Wiersma; Petra S. Kroon; Geert O. R. Janssens; Marcel van Herk; D. C. Hodgson; L. Zadravec Zaletel; C. R. N. Rasch; Arjan Bel; et al. (CoRR, 2020)

Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing. - S. C. Maree; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2020)

Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization - applied to brachytherapy treatment planning for prostate cancer. - S. C. Maree; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2020)

On explaining machine learning models by evolving crucial and compact features. - Marco Virgolin; Tanja Alderliesten; Peter A. N. Bosman (Swarm Evol. Comput., 2020)

GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration. - Anton Bouter; Tanja Alderliesten; Peter A. N. Bosman (CEC, 2021)

A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning. - Arkadiy Dushatskiy; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2021)

Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization. - Timo M. Deist; Monika Grewal; Frank J. W. M. Dankers; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2021)

Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration. - Monika Grewal; Jan Wiersma; Henrike Westerveld; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2021)

Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations. - Anton Bouter; Tanja Alderliesten; Peter A. N. Bosman (Evol. Comput., 2021)

Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions. - Marco Virgolin; Tanja Alderliesten; Cees Witteveen; Peter A. N. Bosman (Evol. Comput., 2021)

A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies. - Arkadiy Dushatskiy; Tanja Alderliesten; Peter A. N. Bosman (ACM Trans. Evol. Learn. Optim., 2021)

Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm. - Stefanus C. Maree; Dirk Thierens; Tanja Alderliesten; Peter A. N. Bosman (Metaheuristics for Finding Multiple Solutions, 2021)

Evolutionary neural cascade search across supernetworks. - Alexander Chebykin; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2022)

Adaptive objective configuration in bi-objective evolutionary optimization for cervical cancer brachytherapy treatment planning. - Leah R. M. Dickhoff; Ellen M. Kerkhof; Heloisa H. Deuzeman; Carien L. Creutzberg; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2022)

Heed the noise in performance evaluations in neural architecture search. - Arkadiy Dushatskiy; Tanja Alderliesten; Peter A. N. Bosman (GECCO Companion, 2022)

Solving multi-structured problems by introducing linkage kernels into GOMEA. - Arthur Guijt; Dirk Thierens; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2022)

Evolvability degeneration in multi-objective genetic programming for symbolic regression. - Dazhuang Liu; Marco Virgolin; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2022)

Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. - E. M. C. Sijben; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2022)

On genetic programming representations and fitness functions for interpretable dimensionality reduction. - Thomas Uriot; Marco Virgolin; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2022)

Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept. - Georgios Andreadis; Peter A. N. Bosman; Tanja Alderliesten (Image Processing, 2022)

Mixed-block neural architecture search for medical image segmentation. - Martijn M. A. Bosma; Arkadiy Dushatskiy; Monika Grewal; Tanja Alderliesten; Peter A. N. Bosman (Image Processing, 2022)

Data variation-aware medical image segmentation. - Arkadiy Dushatskiy; Gerry Lowe; Peter A. N. Bosman; Tanja Alderliesten (Image Processing, 2022)

Gene-pool Optimal Mixing in Cartesian Genetic Programming. - Joe Harrison; Tanja Alderliesten; Peter A. N. Bosman (PPSN (2), 2022)

Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization. - Renzo J. Scholman; Anton Bouter; Leah R. M. Dickhoff; Tanja Alderliesten; Peter A. N. Bosman (PPSN (2), 2022)

Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning. - Marco Virgolin; Andrea De Lorenzo; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2022)

Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning. - Marco Virgolin; Eric Medvet; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2022)

Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing. - S. C. Maree; Tanja Alderliesten; Peter A. N. Bosman (Evol. Comput., 2022)

Solving multi-structured problems by introducing linkage kernels into GOMEA - Source Code. - Arthur Guijt; Dirk Thierens; Tanja Alderliesten; Peter A. N. Bosman (Zenodo, 2022)

Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search. - Alexander Chebykin; Arkadiy Dushatskiy; Tanja Alderliesten; Peter A. N. Bosman (ECAI, 2023)

Multi-objective Learning Using HV Maximization. - Timo M. Deist; Monika Grewal; Frank J. W. M. Dankers; Tanja Alderliesten; Peter A. N. Bosman (EMO, 2023)

MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images. - Georgios Andreadis; Peter A. N. Bosman; Tanja Alderliesten (GECCO, 2023)

The Impact of Asynchrony on Parallel Model-Based EAs. - Arthur Guijt; Dirk Thierens; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2023)

Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression? - Joe Harrison; Marco Virgolin; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2023)

Multi-Objective Population Based Training. - Arkadiy Dushatskiy; Alexander Chebykin; Tanja Alderliesten; Peter A. N. Bosman (ICML, 2023)

Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations. - Monika Grewal; Dustin van Weersel; Henrike Westerveld; Peter A. N. Bosman; Tanja Alderliesten (MIDL, 2023)

Bi-objective optimization of organ properties for the simulation of intracavitary brachytherapy applicator placement in cervical cancer. - Cedric J. Rodriguez; Stephanie M. de Boer; Peter A. N. Bosman; Tanja Alderliesten (Image-Guided Procedures, 2023)

Convolutions, transformers, and their ensembles for the segmentation of organs at risk in radiation treatment of cervical cancer. - Vangelis Kostoulas; Peter A. N. Bosman; Tanja Alderliesten (Image Processing, 2023)

Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations. - Monika Grewal; Dustin van Weersel; Henrike Westerveld; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2023)

Impact of Asynchrony on MBEAs - Source Code. - Arthur Guijt; Dirk Thierens; Tanja Alderliesten; Peter A. N. Bosman (Zenodo, 2023)

Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA. - Georgios Andreadis; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2024)

Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching. - Arthur Guijt; Dirk Thierens; Tanja Alderliesten; Peter A. N. Bosman (GECCO Companion, 2024)

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. - Cedric J. Rodriguez; Sarah L. Thomson; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2024)

Improving the efficiency of GP-GOMEA for higher-arity operators. - Thalea Schlender; Mafalda Malafaia; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2024)

Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. - Evi Sijben; Jeroen C. Jansen; Peter A. N. Bosman; Tanja Alderliesten (GECCO, 2024)

Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation. - Alexander Chebykin; Peter A. N. Bosman; Tanja Alderliesten (MIDL, 2024)

Multi-Objective Learning for Deformable Image Registration. - Monika Grewal; Henrike Westerveld; Peter A. N. Bosman; Tanja Alderliesten (MIDL, 2024)

Learning Discretized Bayesian Networks with GOMEA. - Damy M. F. Ha; Tanja Alderliesten; Peter A. N. Bosman (PPSN (3), 2024)

Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression. - Johannes Koch; Tanja Alderliesten; Peter A. N. Bosman (PPSN (1), 2024)

Balancing Between Time Budgets and Costs in Surrogate-Assisted Evolutionary Algorithms. - Cedric J. Rodriguez; Peter A. N. Bosman; Tanja Alderliesten (PPSN (2), 2024)

A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration. - Georgios Andreadis; Joas I. Mulder; Anton Bouter; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2024)

MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data. - Mafalda Malafaia; Thalea Schlender; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2024)

Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them. - Arthur Guijt; Dirk Thierens; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2024)

Deep learning-based auto-segmentation of paraganglioma for growth monitoring. - E. M. C. Sijben; Jeroen C. Jansen; M. de Ridder; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2024)

Software for the paper: Temporal true and surrogate fitness landscape analysis for expensive bi-objective optimisation. - Cedric J. Rodriguez; Sarah L. Thomson; Tanja Alderliesten; Peter A. N. Bosman (Zenodo, 2024)

Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching - Source Code. - Arthur Guijt; Dirk Thierens; Tanja Alderliesten; Peter A. N. Bosman (Zenodo, 2024)

Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching - Results Data. - Arthur Guijt; Dirk Thierens; Tanja Alderliesten; Peter A. N. Bosman (Zenodo, 2024)

More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA. - Renzo J. Scholman; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2025)

To Be Greedy, or Not to Be - That Is the Question for Population Based Training Variants. - Alexander Chebykin; Tanja Alderliesten; Peter A. N. Bosman (Trans. Mach. Learn. Res., 2025)

Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA. - Georgios Andreadis; Eduard Ruiz Munné; Thomas H. W. Bäck; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2025)

Thinking Outside the Template with Modular GP-GOMEA. - Joe Harrison; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2025)

A Step towards Interpretable Multimodal AI Models with MultiFIX. - Mafalda Malafaia; Thalea Schlender; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2025)

A Better Multi-Objective GP-GOMEA - But do we Need it? - Joe Harrison; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2025)

Dealing with Segmentation Errors in Needle Reconstruction for MRI-Guided Brachytherapy. - Vangelis Kostoulas; Arthur Guijt; Ellen M. Kerkhof; Bradley R. Pieters; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2025)