Peter A. N. Bosman

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 140

Top Venues

CoRR

GECCO

Medical Imaging: Image Processing

GECCO (Companion)

Publications

Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA. GECCO (2024)
Dirk Thierens, Peter A. N. Bosman
Model-Based Evolutionary Algorithms. GECCO Companion (2024)
E. M. C. Sijben, J. C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. CoRR (2024)
Damy M. F. Ha, Tanja Alderliesten, Peter A. N. Bosman
Learning Discretized Bayesian Networks with GOMEA. CoRR (2024)
E. M. C. Sijben, J. C. Jansen, M. de Ridder, Peter A. N. Bosman, Tanja Alderliesten
Deep learning-based auto-segmentation of paraganglioma for growth monitoring. CoRR (2024)
Evi Sijben, Jeroen Jansen, Peter A. N. Bosman, Tanja Alderliesten
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. GECCO (2024)
Monika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
Multi-Objective Learning for Deformable Image Registration. CoRR (2024)
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. CoRR (2024)
Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten, Peter A. N. Bosman
Improving the efficiency of GP-GOMEA for higher-arity operators. GECCO (2024)
Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman, Tanja Alderliesten
MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data. CoRR (2024)
Alexander Chebykin, Peter A. N. Bosman, Tanja Alderliesten
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation. CoRR (2024)
Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten, Peter A. N. Bosman
Improving the efficiency of GP-GOMEA for higher-arity operators. CoRR (2024)
Georgios Andreadis, Joas I. Mulder, Anton Bouter, Peter A. N. Bosman, Tanja Alderliesten
A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration. CoRR (2024)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching. GECCO Companion (2024)
Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA. CoRR (2024)
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. GECCO (2024)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them. CoRR (2024)
Cedric J. Rodriguez, Stephanie M. de Boer, Peter A. N. Bosman, Tanja Alderliesten
Bi-objective optimization of organ properties for the simulation of intracavitary brachytherapy applicator placement in cervical cancer. Medical Imaging: Image-Guided Procedures (2023)
Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images. CoRR (2023)
Anton Bouter, Peter A. N. Bosman
A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA. GECCO Companion (2023)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
The Impact of Asynchrony on Parallel Model-Based EAs. CoRR (2023)
Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images. GECCO (2023)
Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations. CoRR (2023)
Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression? GECCO (2023)
Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search. ECAI (2023)
Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten
Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer. CoRR (2023)
Anne Auger, Peter A. N. Bosman, Pascal Kerschke, Darrell Whitley, Lennart Schäpermeier
Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251). Dagstuhl Reports 13 (6) (2023)
Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search. CoRR (2023)
Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten
Convolutions, transformers, and their ensembles for the segmentation of organs at risk in radiation treatment of cervical cancer. Medical Imaging: Image Processing (2023)
Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations. MIDL (2023)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
The Impact of Asynchrony on Parallel Model-Based EAs. GECCO (2023)
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
Multi-objective Learning Using HV Maximization. EMO (2023)
Dirk Thierens, Peter A. N. Bosman
Model-Based Evolutionary Algorithms. GECCO Companion (2023)
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
Multi-Objective Population Based Training. ICML (2023)
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
Multi-Objective Population Based Training. CoRR (2023)
Anton Bouter, Peter A. N. Bosman
A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA. CoRR (2023)
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing. Evol. Comput. 30 (3) (2022)
Marco Virgolin, Peter A. N. Bosman
Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression. GECCO Companion (2022)
Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
Data variation-aware medical image segmentation. Medical Imaging: Image Processing (2022)
Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
On genetic programming representations and fitness functions for interpretable dimensionality reduction. CoRR (2022)
Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept. Medical Imaging: Image Processing (2022)
E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. CoRR (2022)
Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
Data variation-aware medical image segmentation. CoRR (2022)
Anton Bouter, Peter A. N. Bosman
GPU-accelerated parallel gene-pool optimal mixing in a gray-box optimization setting. GECCO (2022)
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
Mixed-block neural architecture search for medical image segmentation. Medical Imaging: Image Processing (2022)
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
Mixed-Block Neural Architecture Search for Medical Image Segmentation. CoRR (2022)
Marco Virgolin, Andrea De Lorenzo, Tanja Alderliesten, Peter A. N. Bosman
Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning. CoRR (2022)
Leah R. M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Carien L. Creutzberg, Tanja Alderliesten, Peter A. N. Bosman
Adaptive objective configuration in bi-objective evolutionary optimization for cervical cancer brachytherapy treatment planning. GECCO (2022)
Leah R. M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Carien L. Creutzberg, Tanja Alderliesten, Peter A. N. Bosman
Adaptive Objective Configuration in Bi-Objective Evolutionary Optimization for Cervical Cancer Brachytherapy Treatment Planning. CoRR (2022)
Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman
Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization. PPSN (2) (2022)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Heed the noise in performance evaluations in neural architecture search. GECCO Companion (2022)
Anton Bouter, Peter A. N. Bosman
GPU-Accelerated Parallel Gene-pool Optimal Mixing in a Gray-Box Optimization Setting. CoRR (2022)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms: GECCO 2022 tutorial. GECCO Companion (2022)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Heed the Noise in Performance Evaluations in Neural Architecture Search. CoRR (2022)
Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
Multi-Objective Dual Simplex-Mesh Based Deformable Image Registration for 3D Medical Images - Proof of Concept. CoRR (2022)
E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. GECCO (2022)
Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
Evolutionary Neural Cascade Search across Supernetworks. CoRR (2022)
Damy M. F. Ha, Timo M. Deist, Peter A. N. Bosman
Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation. PPSN (2) (2022)
Marco Virgolin, Eric Medvet, Tanja Alderliesten, Peter A. N. Bosman
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning. CoRR (2022)
Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
On genetic programming representations and fitness functions for interpretable dimensionality reduction. GECCO (2022)
Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression. CoRR (2022)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA. CoRR (2022)
Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization. CoRR (2022)
Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
Evolutionary neural cascade search across supernetworks. GECCO (2022)
Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman
Gene-pool Optimal Mixing in Cartesian Genetic Programming. PPSN (2) (2022)
Marco Virgolin, Peter A. N. Bosman
Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression. CoRR (2022)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
Solving multi-structured problems by introducing linkage kernels into GOMEA. GECCO (2022)
Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
Evolvability degeneration in multi-objective genetic programming for symbolic regression. GECCO (2022)
Arthur Guijt, Ngoc Hoang Luong, Peter A. N. Bosman, Mathijs de Weerdt
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization. Swarm Evol. Comput. 70 (2022)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning. CoRR (2021)
Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman
Local Search is a Remarkably Strong Baseline for Neural Architecture Search. EMO (2021)
Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration. CoRR (2021)
Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms. CoRR (2021)
Michal Witold Przewozniczek, Marcin M. Komarnicki, Peter A. N. Bosman, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. GECCO Companion (2021)
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization. CoRR (2021)
Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman
GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration. CEC (2021)
Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions. Evol. Comput. 29 (2) (2021)
Chantal Olieman, Anton Bouter, Peter A. N. Bosman
Fitness-Based Linkage Learning in the Real-Valued Gene-Pool Optimal Mixing Evolutionary Algorithm. IEEE Trans. Evol. Comput. 25 (2) (2021)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms. GECCO Companion (2021)
Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting. GECCO Companion (2021)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies. ACM Trans. Evol. Learn. Optim. 1 (2) (2021)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning. GECCO (2021)
Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman
Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations. Evol. Comput. 29 (1) (2021)
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, Peter A. N. Bosman, Tanja Alderliesten
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy. CoRR (2020)
Anton Bouter, Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. GECCO (2020)
Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten
An end-to-end deep learning approach for landmark detection and matching in medical images. Medical Imaging: Image Processing (2020)
Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering. CoRR (2020)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms: GECCO 2020 tutorial. GECCO Companion (2020)
Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images. CoRR (2020)
Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Ensuring Smoothly Navigable Approximation Sets by Bézier Curve Parameterizations in Evolutionary Bi-objective Optimization. PPSN (2) (2020)
Timo M. Deist, Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent. PPSN (2) (2020)
Marjolein C. van der Meer, Arjan Bel, Yury Niatsetski, Tanja Alderliesten, Bradley R. Pieters, Peter A. N. Bosman
Robust Evolutionary Bi-objective Optimization for Prostate Cancer Treatment with High-Dose-Rate Brachytherapy. PPSN (2) (2020)
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. CoRR (2020)
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. Medical Imaging: Image Processing (2020)
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization - applied to brachytherapy treatment planning for prostate cancer. CoRR (2020)
Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
On explaining machine learning models by evolving crucial and compact features. Swarm Evol. Comput. 53 (2020)
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing. CoRR (2020)
Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman
Local Search is a Remarkably Strong Baseline for Neural Architecture Search. CoRR (2020)
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration. Algorithms 12 (5) (2019)
Marco Virgolin, Ziyuan Wang, Tanja Alderliesten, Peter A. N. Bosman
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peter A. N. Bosman