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ORCIDKerstin Bunte
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- affiliation: University of Groningen, Bernoulli Institute, The Netherlands
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2020 – today
- 2024
[j26]Mariya Shumska
, Michael H. F. Wilkinson, Kerstin Bunte:
Towards Robust Colour Texture Analysis with Limited Training Data. SN Comput. Sci. 5(6): 730 (2024)- 2023
- [j25]Matteo Marcantoni, Bayu Jayawardhana, Mariano Perez Chaher, Kerstin Bunte:
Secure Formation Control via Edge Computing Enabled by Fully Homomorphic Encryption and Mixed Uniform-Logarithmic Quantization. IEEE Control. Syst. Lett. 7: 395-400 (2023) - [j24]Matteo Marcantoni, Bayu Jayawardhana, Kerstin Bunte:
Range-Only Bearing Estimator for Localization and Mapping. IEEE Control. Syst. Lett. 7: 2503-2508 (2023) - [j23]Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tino:
LAAT: Locally Aligned Ant Technique for Discovering Multiple Faint Low Dimensional Structures of Varying Density. IEEE Trans. Knowl. Data Eng. 35(6): 6014-6027 (2023) - [c31]Mariya Shumska, Kerstin Bunte:
Towards Robust Colour Texture Classification with Limited Training Data. CAIP (1) 2023: 153-163 - [c30]Felipe Contreras, Kerstin Bunte, Reynier Peletier:
Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noise. ESANN 2023 - [c29]Mariya Shumska, Kerstin Bunte:
Multispectral Texture Classification in Agriculture. ESANN 2023 - [i9]Matteo Marcantoni, Bayu Jayawardhana, Kerstin Bunte:
Range-Only Bearing Estimator for Localization and Mapping. CoRR abs/2304.08182 (2023) - 2022
- [j22]Mohammad Mohammadi, Jarvin Mutatiina, Teymoor Saifollahi, Kerstin Bunte:
Detection of extragalactic Ultra-compact dwarfs and Globular Clusters using Explainable AI techniques. Astron. Comput. 39: 100555 (2022) - [j21]Marco Canducci, P. Awad, Abolfazl Taghribi, Mohammad Mohammadi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Rory Smith, Kerstin Bunte, Peter Tiño:
1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments. Astron. Comput. 41: 100658 (2022) - [j20]Luca Oneto, Kerstin Bunte, Nicolò Navarin:
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 470: 300-303 (2022) - [j19]Abolfazl Taghribi, Marco Canducci, Michele Mastropietro, Sven De Rijcke, Kerstin Bunte, Peter Tino:
ASAP - A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping. Neurocomputing 470: 376-388 (2022) - [j18]Mohammad Mohammadi, Peter Tino, Kerstin Bunte:
Manifold Alignment Aware Ants: A Markovian Process for Manifold Extraction. Neural Comput. 34(3): 595-641 (2022) - [c28]Gerrit Luimstra, Kerstin Bunte:
Adaptive Gabor Filters for Interpretable Color Texture Classification. ESANN 2022 - [c27]Michiel Straat, Kevin Koster, Nick Goet, Kerstin Bunte:
An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data. IJCNN 2022: 1-8 - [i8]Mohammad Mohammadi, Jarvin Mutatiina, Teymoor Saifollahi, Kerstin Bunte:
Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniques. CoRR abs/2201.01604 (2022) - [i7]Matteo Marcantoni, Bayu Jayawardhana, Mariano Perez Chaher, Kerstin Bunte:
Secure Formation Control via Edge Computing Enabled by Fully Homomorphic Encryption and Mixed Uniform-Logarithmic Quantization. CoRR abs/2204.06349 (2022) - [i6]Sreejita Ghosh, Elizabeth Sarah Baranowski, Michael Biehl, Wiebke Arlt, Peter Tino, Kerstin Bunte:
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets. CoRR abs/2206.02056 (2022) - [i5]Michiel Straat, Kevin Koster, Nick Goet, Kerstin Bunte:
An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data. CoRR abs/2206.05818 (2022) - 2021
- [c26]Marco Canducci, Abolfazl Taghribi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Kerstin Bunte, Peter Tino:
Tracking the Temporal-Evolution of Supernova Bubbles in Numerical Simulations. IDEAL 2021: 493-501 - 2020
- [j17]Luca Oneto, Kerstin Bunte, Alessandro Sperduti:
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 416: 172-176 (2020) - [c25]Abolfazl Taghribi, Kerstin Bunte, Michele Mastropietro, Sven De Rijcke, Peter Tiño:
ASAP - A Sub-sampling Approach for Preserving Topological Structures. ESANN 2020: 67-72 - [c24]Mohammad Mohammadi, Kerstin Bunte:
Multi-agent Based Manifold Denoising. IDEAL (2) 2020: 12-24 - [c23]Sreejita Ghosh, Peter Tiño, Kerstin Bunte:
Visualisation and knowledge discovery from interpretable models. IJCNN 2020: 1-8 - [i4]Sreejita Ghosh, Peter Tiño, Kerstin Bunte:
Visualisation and knowledge discovery from interpretable models. CoRR abs/2005.03632 (2020) - [i3]Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tiño:
LAAT: Locally Aligned Ant Technique for detecting manifolds of varying density. CoRR abs/2009.08326 (2020)
2010 – 2019
- 2019
- [j16]Luca Oneto, Kerstin Bunte, Frank-Michael Schleif:
Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). Neurocomputing 342: 1-5 (2019) - [j15]Mohammad Mohammadi, Nicolai Petkov, Kerstin Bunte, Reynier F. Peletier, Frank-Michael Schleif:
Globular cluster detection in the GAIA survey. Neurocomputing 342: 164-171 (2019) - [c22]Jelle Bakker, Kerstin Bunte:
Efficient learning of email similarities for customer support. ESANN 2019 - 2018
- [c21]Mohammad Mohammadi, Nicolai Petkov, Reynier F. Peletier, Pedro Bibiloni, Kerstin Bunte:
Detection of Globular Clusters in the Halo of Milky Way. APPIS 2018: 70-78 - [c20]Michael Biehl, Kerstin Bunte, Giuseppe Longo, Peter Tiño:
Machine learning and data analysis in astroinformatics. ESANN 2018 - [c19]Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte:
Globular Cluster Detection in the Gaia Survey. ESANN 2018 - 2017
- [c18]Sreejita Ghosh, Elizabeth Sarah Baranowski, Rick van Veen, Gert-Jan de Vries, Michael Biehl, Wiebke Arlt, Peter Tiño, Kerstin Bunte:
Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders. ESANN 2017 - 2016
- [j14]Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen, Samuel Kaski:
Sparse group factor analysis for biclustering of multiple data sources. Bioinform. 32(16): 2457-2463 (2016) - [j13]Fabio Aiolli, Kerstin Bunte, Romain Hérault, Mikhail F. Kanevski:
Special issue: Advances in artificial neural networks, machine learning and computational intelligenceSelected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015). Neurocomputing 192: 1-2 (2016) - [c17]Kerstin Bunte, Marika Kaden, Frank-Michael Schleif:
Low-Rank Kernel Space Representations in Prototype Learning. WSOM 2016: 341-353 - 2015
- [c16]Kerstin Bunte, John Aldo Lee:
Unsupervised dimensionality reduction: the challenge of big data visualization. ESANN 2015 - [i2]Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen, Samuel Kaski:
Sparse group factor analysis for biclustering of multiple data sources. CoRR abs/1512.08808 (2015) - 2014
- [j12]Marc Strickert, Kerstin Bunte, Frank-Michael Schleif, Eyke Hüllermeier:
Correlation-based embedding of pairwise score data. Neurocomputing 141: 97-109 (2014) - [j11]Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl:
Erratum to: Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. 48(1): 202 (2014) - [c15]Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski:
Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. AAAI 2014: 1694-1700 - 2013
- [j10]Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl:
Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. 47(1-2): 79-92 (2013) - [c14]Marc Strickert, Kerstin Bunte:
Soft rank neighbor embeddings. ESANN 2013 - 2012
- [j9]Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller:
Texture feature ranking with relevance learning to classify interstitial lung disease patterns. Artif. Intell. Medicine 56(2): 91-97 (2012) - [j8]Kerstin Bunte, Sven Haase, Michael Biehl, Thomas Villmann:
Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences. Neurocomputing 90: 23-45 (2012) - [j7]Kerstin Bunte:
Adaptive Dissimilarity Measures, Dimension Reduction and Visualization (University of Groningen). Künstliche Intell. 26(4): 417-418 (2012) - [j6]Kerstin Bunte, Michael Biehl, Barbara Hammer:
A General Framework for Dimensionality-Reducing Data Visualization Mapping. Neural Comput. 24(3): 771-804 (2012) - [j5]Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl:
Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks 26: 159-173 (2012) - [c13]Kerstin Bunte, Frank-Michael Schleif, Michael Biehl:
Adaptive learning for complex-valued data. ESANN 2012 - [c12]Michael Biehl, Kerstin Bunte, Frank-Michael Schleif, Petra Schneider, Thomas Villmann:
Large margin linear discriminative visualization by Matrix Relevance Learning. IJCNN 2012: 1-8 - [c11]Gabriele Peters, Kerstin Bunte, Marc Strickert, Michael Biehl, Thomas Villmann:
Visualization of processes in self-learning systems. PST 2012: 244-249 - 2011
- [j4]Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller:
Neighbor embedding XOM for dimension reduction and visualization. Neurocomputing 74(9): 1340-1350 (2011) - [j3]Kerstin Bunte, Michael Biehl, Marcel F. Jonkman, Nicolai Petkov:
Learning effective color features for content based image retrieval in dermatology. Pattern Recognit. 44(9): 1892-1902 (2011) - [c10]Kerstin Bunte, Ioannis Giotis, Nicolai Petkov, Michael Biehl:
Adaptive Matrices for Color Texture Classification. CAIP (2) 2011: 489-497 - [c9]Kerstin Bunte, Michael Biehl, Barbara Hammer:
Dimensionality reduction mappings. CIDM 2011: 349-356 - [c8]Kerstin Bunte, Michael Biehl, Barbara Hammer:
Supervised dimension reduction mappings. ESANN 2011 - [c7]Kerstin Bunte, Frank-Michael Schleif, Sven Haase, Thomas Villmann:
Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization. ESANN 2011 - [c6]Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller:
Texture feature selection with relevance learning to classify interstitial lung disease patterns. Medical Imaging: Computer-Aided Diagnosis 2011: 796318 - [c5]Barbara Hammer, Michael Biehl, Kerstin Bunte, Bassam Mokbel:
A General Framework for Dimensionality Reduction for Large Data Sets. WSOM 2011: 277-287 - 2010
- [j2]Kerstin Bunte, Barbara Hammer, Axel Wismüller, Michael Biehl:
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. Neurocomputing 73(7-9): 1074-1092 (2010) - [j1]Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl:
Regularization in matrix relevance learning. IEEE Trans. Neural Networks 21(5): 831-840 (2010) - [c4]Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller:
Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization. ESANN 2010 - [i1]Barbara Hammer, Kerstin Bunte, Michael Biehl:
Some steps towards a general principle for dimensionality reduction mappings. Learning paradigms in dynamic environments 2010
2000 – 2009
- 2009
- [c3]Kerstin Bunte, Barbara Hammer, Michael Biehl:
Nonlinear Dimension Reduction and Visualization of Labeled Data. CAIP 2009: 1162-1170 - [c2]Kerstin Bunte, Michael Biehl, Nicolai Petkov, Marcel F. Jonkman:
Adaptive Metrics for Content Based Image Retrieval in Dermatology. ESANN 2009 - [c1]Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl:
Nonlinear Discriminative Data Visualization. ESANN 2009
Coauthor Index
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