Tanja Alderliesten

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 111

Top Venues

CoRR

GECCO

Medical Imaging: Image Processing

PPSN (2)

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)
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)
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)
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)
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)
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing. Evol. Comput. 30 (3) (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)
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)
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)
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)
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)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning. CoRR (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)
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)
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)
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)
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)
Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions. CoRR (2019)
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. Medical Imaging: Image Processing (2019)
Arkadiy Dushatskiy, Adriënne M. Mendrik, Tanja Alderliesten, Peter A. N. Bosman
Convolutional neural network surrogate-assisted GOMEA. GECCO (2019)
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering. GECCO (2019)
Ngoc Hoang Luong, Tanja Alderliesten, Bradley R. Pieters, Arjan Bel, Yury Niatsetski, Peter A. N. Bosman
Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy. Appl. Soft Comput. 84 (2019)
Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression. GECCO (2019)
Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
On Explaining Machine Learning Models by Evolving Crucial and Compact Features. CoRR (2019)
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization. CoRR (2019)
Ngoc Hoang Luong, Tanja Alderliesten, Peter A. N. Bosnian
Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations. GECCO (2018)
Marco Virgolin, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman
Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors. GECCO (2018)
Marjolein C. van der Meer, Bradley R. Pieters, Yury Niatsetski, Tanja Alderliesten, Arjan Bel, Peter A. N. Bosman
Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA. GECCO (2018)
Ngoc Hoang Luong, Tanja Alderliesten, Arjan Bel, Yury Niatsetski, Peter A. N. Bosman
Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment. Swarm Evol. Comput. 40 (2018)
Anton Bouter, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman
Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems. GECCO (2018)
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
Real-valued evolutionary multi-modal optimization driven by hill-valley clustering. GECCO (2018)
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. CoRR (2018)
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
Real-Valued Evolutionary Multi-Modal Optimization driven by Hill-Valley Clustering. CoRR (2018)
Ngoc Hoang Luong, Anton Bouter, Marjolein C. van der Meer, Yury Niatsetski, Cees Witteveen, Arjan Bel, Tanja Alderliesten, Peter A. N. Bosman
Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. GECCO (Companion) (2017)
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
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. GECCO (2017)
Anton Bouter, Ngoc Hoang Luong, Cees Witteveen, Tanja Alderliesten, Peter A. N. Bosman
The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm. GECCO (2017)
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning. GECCO (2017)

Tanja Alderliesten.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Tanja Alderliesten