Kerstin Bunte

According to our database, Kerstin Bunte authored at least 65 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Low-dimensional embeddings of high-dimensional data.

Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher, Kerstin Bunte, Corinna Coupette, Sebastian Damrich, Enrique Fita Sanmartin, Fred A. Hamprecht, Emoke-Ágnes Horvát, Dhruv Kohli, Smita Krishnaswamy, John A. Lee, Boudewijn P. F. Lelieveldt, Leland McInnes, Ian T. Nabney, Maximilian Noichl, Pavlin G. Policar, Bastian Rieck, Guy Wolf, Gal Mishne, Dmitry Kobak

CoRR, August, 2025

On the importance of structural identifiability for machine learning with partially observed dynamical systems.

Janis Norden, Elisa Oostwal, Michael Chappell, Peter Tino, Kerstin Bunte

CoRR, February, 2025

Interpretable modelling and visualization of biomedical data.

Sreejita Ghosh, Elizabeth Sarah Baranowski, Michael Biehl, Wiebke Arlt, Peter Tiño, Kerstin Bunte

Neurocomputing, 2025

More than a void? The detection and characterization of cavities in a simulated galaxy's interstellar medium.

Abolfazl Taghribi, Marco Canducci, Michele Mastropietro, Sven De Rijcke, Reynier Frans Peletier, Peter Tino, Kerstin Bunte

Astron. Comput., 2025

2024

Towards Robust Colour Texture Analysis with Limited Training Data.

Mariya Shumska, Michael H. F. Wilkinson, Kerstin Bunte

SN Comput. Sci., August, 2024

MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble.

Frank N. Mol, Luuk van der Hoek, Baoqiang Ma, Bharath Chowdhary Nagam, Nanna Maria Sijtsema, Lisanne van Dijk, Kerstin Bunte, Rifka Vlijm, Peter M. A. van Ooijen

Proceedings of the Head and Neck Tumor Segmentation for MR-Guided Applications, 2024

Bearing-Only Distance Estimator for Localization and Mapping.

Matteo Marcantoni, Emma Langeveld, Bayu Jayawardhana, Kerstin Bunte

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

LAAT: Locally Aligned Ant Technique for Discovering Multiple Faint Low Dimensional Structures of Varying Density.

Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tino

IEEE Trans. Knowl. Data Eng., June, 2023

Secure Formation Control via Edge Computing Enabled by Fully Homomorphic Encryption and Mixed Uniform-Logarithmic Quantization.

Matteo Marcantoni, Bayu Jayawardhana, Mariano Perez Chaher, Kerstin Bunte

IEEE Control. Syst. Lett., 2023

Range-Only Bearing Estimator for Localization and Mapping.

Matteo Marcantoni, Bayu Jayawardhana, Kerstin Bunte

IEEE Control. Syst. Lett., 2023

Multispectral Texture Classification in Agriculture.

Mariya Shumska, Kerstin Bunte

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noise.

Felipe Contreras, Kerstin Bunte, Reynier Peletier

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Towards Robust Colour Texture Classification with Limited Training Data.

Mariya Shumska, Kerstin Bunte

Proceedings of the Computer Analysis of Images and Patterns, 2023

2022

Manifold Alignment Aware Ants: A Markovian Process for Manifold Extraction.

Mohammad Mohammadi, Peter Tino, Kerstin Bunte

Neural Comput., 2022

ASAP - A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping.

Abolfazl Taghribi, Marco Canducci, Michele Mastropietro, Sven De Rijcke, Kerstin Bunte, Peter Tino

Neurocomputing, 2022

Advances in artificial neural networks, machine learning and computational intelligence.

Luca Oneto, Kerstin Bunte, Nicolò Navarin

Neurocomputing, 2022

Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets.

Sreejita Ghosh, Elizabeth Sarah Baranowski, Michael Biehl, Wiebke Arlt, Peter Tino, Kerstin Bunte

CoRR, 2022

Detection of extragalactic Ultra-compact dwarfs and Globular Clusters using Explainable AI techniques.

Mohammad Mohammadi, Jarvin Mutatiina, Teymoor Saifollahi, Kerstin Bunte

Astron. Comput., 2022

1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments.

Marco Canducci, P. Awad, Abolfazl Taghribi, Mohammad Mohammadi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Rory Smith, Kerstin Bunte, Peter Tiño

Astron. Comput., 2022

An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data.

Michiel Straat, Kevin Koster, Nick Goet, Kerstin Bunte

Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptive Gabor Filters for Interpretable Color Texture Classification.

Gerrit Luimstra, Kerstin Bunte

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Tracking the Temporal-Evolution of Supernova Bubbles in Numerical Simulations.

Marco Canducci, Abolfazl Taghribi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Kerstin Bunte, Peter Tino

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020

Advances in artificial neural networks, machine learning and computational intelligence.

Luca Oneto, Kerstin Bunte, Alessandro Sperduti

Neurocomputing, 2020

LAAT: Locally Aligned Ant Technique for detecting manifolds of varying density.

Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tiño

CoRR, 2020

Visualisation and knowledge discovery from interpretable models.

Sreejita Ghosh, Peter Tiño, Kerstin Bunte

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-agent Based Manifold Denoising.

Mohammad Mohammadi, Kerstin Bunte

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

ASAP - A Sub-sampling Approach for Preserving Topological Structures.

Abolfazl Taghribi, Kerstin Bunte, Michele Mastropietro, Sven De Rijcke, Peter Tiño

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26^<i>th</i> European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018).

Luca Oneto, Kerstin Bunte, Frank-Michael Schleif

Neurocomputing, 2019

Efficient learning of email similarities for customer support.

Jelle Bakker, Kerstin Bunte

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Globular Cluster Detection in the Gaia Survey.

Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Machine learning and data analysis in astroinformatics.

Michael Biehl, Kerstin Bunte, Giuseppe Longo, Peter Tiño

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Detection of Globular Clusters in the Halo of Milky Way.

Mohammad Mohammadi, Nicolai Petkov, Reynier F. Peletier, Pedro Bibiloni, Kerstin Bunte

Proceedings of the Applications of Intelligent Systems, 2018

2017

Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders.

Sreejita Ghosh, Elizabeth Sarah Baranowski, Rick van Veen, Gert-Jan de Vries, Michael Biehl, Wiebke Arlt, Peter Tiño, Kerstin Bunte

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Special issue: Advances in artificial neural networks, machine learning and computational intelligenceSelected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015).

Fabio Aiolli, Kerstin Bunte, Romain Hérault, Mikhail F. Kanevski

Neurocomputing, 2016

Sparse group factor analysis for biclustering of multiple data sources.

Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen, Samuel Kaski

Bioinform., 2016

Low-Rank Kernel Space Representations in Prototype Learning.

Kerstin Bunte, Marika Kaden, Frank-Michael Schleif

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

2015

Unsupervised dimensionality reduction: the challenge of big data visualization.

Kerstin Bunte, John Aldo Lee

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Erratum to: Adaptive Matrices and Filters for Color Texture Classification.

Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl

J. Math. Imaging Vis., 2014

Correlation-based embedding of pairwise score data.

Marc Strickert, Kerstin Bunte, Frank-Michael Schleif, Eyke Hüllermeier

Neurocomputing, 2014

Optimal Neighborhood Preserving Visualization by Maximum Satisfiability.

Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Adaptive Matrices and Filters for Color Texture Classification.

Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl

J. Math. Imaging Vis., 2013

Soft rank neighbor embeddings.

Marc Strickert, Kerstin Bunte

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Limited Rank Matrix Learning, discriminative dimension reduction and visualization.

Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl

Neural Networks, 2012

A General Framework for Dimensionality-Reducing Data Visualization Mapping.

Kerstin Bunte, Michael Biehl, Barbara Hammer

Neural Comput., 2012

Adaptive Dissimilarity Measures, Dimension Reduction and Visualization (University of Groningen).

Kerstin Bunte

Künstliche Intell., 2012

Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences.

Kerstin Bunte, Sven Haase, Michael Biehl, Thomas Villmann

Neurocomputing, 2012

Texture feature ranking with relevance learning to classify interstitial lung disease patterns.

Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller

Artif. Intell. Medicine, 2012

Visualization of processes in self-learning systems.

Gabriele Peters, Kerstin Bunte, Marc Strickert, Michael Biehl, Thomas Villmann

Proceedings of the Tenth Annual International Conference on Privacy, Security and Trust, 2012

Large margin linear discriminative visualization by Matrix Relevance Learning.

Michael Biehl, Kerstin Bunte, Frank-Michael Schleif, Petra Schneider, Thomas Villmann

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Adaptive learning for complex-valued data.

Kerstin Bunte, Frank-Michael Schleif, Michael Biehl

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Learning effective color features for content based image retrieval in dermatology.

Kerstin Bunte, Michael Biehl, Marcel F. Jonkman, Nicolai Petkov

Pattern Recognit., 2011

Neighbor embedding XOM for dimension reduction and visualization.

Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller

Neurocomputing, 2011

A General Framework for Dimensionality Reduction for Large Data Sets.

Barbara Hammer, Michael Biehl, Kerstin Bunte, Bassam Mokbel

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Texture feature selection with relevance learning to classify interstitial lung disease patterns.

Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization.

Kerstin Bunte, Frank-Michael Schleif, Sven Haase, Thomas Villmann

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Supervised dimension reduction mappings.

Kerstin Bunte, Michael Biehl, Barbara Hammer

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Dimensionality reduction mappings.

Kerstin Bunte, Michael Biehl, Barbara Hammer

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Adaptive Matrices for Color Texture Classification.

Kerstin Bunte, Ioannis Giotis, Nicolai Petkov, Michael Biehl

Proceedings of the Computer Analysis of Images and Patterns, 2011

2010

Regularization in matrix relevance learning.

Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl

IEEE Trans. Neural Networks, 2010

Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data.

Kerstin Bunte, Barbara Hammer, Axel Wismüller, Michael Biehl

Neurocomputing, 2010

Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization.

Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Some steps towards a general principle for dimensionality reduction mappings.

Barbara Hammer, Kerstin Bunte, Michael Biehl

Proceedings of the Learning paradigms in dynamic environments, 25.07. - 30.07.2010, 2010

2009

Nonlinear Discriminative Data Visualization.

Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Adaptive Metrics for Content Based Image Retrieval in Dermatology.

Kerstin Bunte, Michael Biehl, Nicolai Petkov, Marcel F. Jonkman

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Nonlinear Dimension Reduction and Visualization of Labeled Data.

Kerstin Bunte, Barbara Hammer, Michael Biehl

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009