Kerstin Bunte - RankMe

73 papers A* 1B 19C 4Journal 39Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive locally aligned ant technique and manifold blurring mean shift for manifold detection and denoising. Neurocomputing Felipe Contreras, Reynier Peletier, Kerstin Bunte
2025	J	`jnl`	Interpretable modelling and visualization of biomedical data. Neurocomputing Sreejita Ghosh, Elizabeth Sarah Baranowski, Michael Biehl, Wiebke Arlt, Peter Tiño, Kerstin Bunte
2025	J	`jnl`	Low-dimensional embeddings of high-dimensional data. CoRR 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
2025	J	`jnl`	More than a void? The detection and characterization of cavities in a simulated galaxy's interstellar medium. Astron. Comput. Abolfazl Taghribi, Marco Canducci, Michele Mastropietro, Sven De Rijcke, Reynier Frans Peletier, Peter Tino, Kerstin Bunte
2025	J	`jnl`	On the importance of structural identifiability for machine learning with partially observed dynamical systems. CoRR Janis Norden, Elisa Oostwal, Michael Chappell, Peter Tino, Kerstin Bunte
2024	—	`conf`	Bearing-Only Distance Estimator for Localization and Mapping. CDC Matteo Marcantoni, Emma Langeveld, Bayu Jayawardhana, Kerstin Bunte
2024	—	`conf`	MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble. HNTS-MRG@MICCAI 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
2024	J	`jnl`	Towards Robust Colour Texture Analysis with Limited Training Data. SN Comput. Sci. Mariya Shumska, Michael H. F. Wilkinson, Kerstin Bunte
2023	B	`conf`	Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noise. ESANN Felipe Contreras, Kerstin Bunte, Reynier Peletier
2023	J	`jnl`	LAAT: Locally Aligned Ant Technique for Discovering Multiple Faint Low Dimensional Structures of Varying Density. IEEE Trans. Knowl. Data Eng. Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tino
2023	B	`conf`	Multispectral Texture Classification in Agriculture. ESANN Mariya Shumska, Kerstin Bunte
2023	J	`jnl`	Range-Only Bearing Estimator for Localization and Mapping. CoRR Matteo Marcantoni, Bayu Jayawardhana, Kerstin Bunte
2023	J	`jnl`	Range-Only Bearing Estimator for Localization and Mapping. IEEE Control. Syst. Lett. Matteo Marcantoni, Bayu Jayawardhana, Kerstin Bunte
2023	J	`jnl`	Secure Formation Control via Edge Computing Enabled by Fully Homomorphic Encryption and Mixed Uniform-Logarithmic Quantization. IEEE Control. Syst. Lett. Matteo Marcantoni, Bayu Jayawardhana, Mariano Perez Chaher, Kerstin Bunte
2023	—	`conf`	Towards Robust Colour Texture Classification with Limited Training Data. CAIP (1) Mariya Shumska, Kerstin Bunte
2022	J	`jnl`	1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments. Astron. Comput. Marco Canducci, Petra Awad, Abolfazl Taghribi, Mohammad Mohammadi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Rory Smith, Kerstin Bunte, Peter Tiño
2022	J	`jnl`	ASAP - A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping. Neurocomputing Abolfazl Taghribi, Marco Canducci, Michele Mastropietro, Sven De Rijcke, Kerstin Bunte, Peter Tino
2022	B	`conf`	Adaptive Gabor Filters for Interpretable Color Texture Classification. ESANN Gerrit Luimstra, Kerstin Bunte
2022	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Luca Oneto, Kerstin Bunte, Nicolò Navarin
2022	B	`conf`	An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data. IJCNN Michiel Straat, Kevin Koster, Nick Goet, Kerstin Bunte
2022	J	`jnl`	An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data. CoRR Michiel Straat, Kevin Koster, Nick Goet, Kerstin Bunte
2022	J	`jnl`	Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniques. CoRR Mohammad Mohammadi, Jarvin Mutatiina, Teymoor Saifollahi, Kerstin Bunte
2022	J	`jnl`	Detection of extragalactic Ultra-compact dwarfs and Globular Clusters using Explainable AI techniques. Astron. Comput. Mohammad Mohammadi, Jarvin Mutatiina, Teymoor Saifollahi, Kerstin Bunte
2022	J	`jnl`	Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets. CoRR Sreejita Ghosh, Elizabeth Sarah Baranowski, Michael Biehl, Wiebke Arlt, Peter Tino, Kerstin Bunte
2022	J	`jnl`	Manifold Alignment Aware Ants: A Markovian Process for Manifold Extraction. Neural Comput. Mohammad Mohammadi, Peter Tino, Kerstin Bunte
2022	J	`jnl`	Secure Formation Control via Edge Computing Enabled by Fully Homomorphic Encryption and Mixed Uniform-Logarithmic Quantization. CoRR Matteo Marcantoni, Bayu Jayawardhana, Mariano Perez Chaher, Kerstin Bunte
2021	C	`conf`	Tracking the Temporal-Evolution of Supernova Bubbles in Numerical Simulations. IDEAL Marco Canducci, Abolfazl Taghribi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Kerstin Bunte, Peter Tino
2020	B	`conf`	ASAP - A Sub-sampling Approach for Preserving Topological Structures. ESANN Abolfazl Taghribi, Kerstin Bunte, Michele Mastropietro, Sven De Rijcke, Peter Tiño
2020	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Luca Oneto, Kerstin Bunte, Alessandro Sperduti
2020	J	`jnl`	LAAT: Locally Aligned Ant Technique for detecting manifolds of varying density. CoRR Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tiño
2020	—	`conf`	Multi-agent Based Manifold Denoising. IDEAL (2) Mohammad Mohammadi, Kerstin Bunte
2020	B	`conf`	Visualisation and knowledge discovery from interpretable models. IJCNN Sreejita Ghosh, Peter Tiño, Kerstin Bunte
2020	J	`jnl`	Visualisation and knowledge discovery from interpretable models. CoRR Sreejita Ghosh, Peter Tiño, Kerstin Bunte
2019	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26 Neurocomputing Luca Oneto, Kerstin Bunte, Frank-Michael Schleif
2019	B	`conf`	Efficient learning of email similarities for customer support. ESANN Jelle Bakker, Kerstin Bunte
2019	J	`jnl`	Globular cluster detection in the GAIA survey. Neurocomputing Mohammad Mohammadi, Nicolai Petkov, Kerstin Bunte, Reynier F. Peletier, Frank-Michael Schleif
2018	—	`conf`	Detection of Globular Clusters in the Halo of Milky Way. APPIS Mohammad Mohammadi, Nicolai Petkov, Reynier F. Peletier, Pedro Bibiloni, Kerstin Bunte
2018	B	`conf`	Globular Cluster Detection in the Gaia Survey. ESANN Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte
2018	B	`conf`	Machine learning and data analysis in astroinformatics. ESANN Michael Biehl, Kerstin Bunte, Giuseppe Longo, Peter Tiño
2017	B	`conf`	Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders. ESANN Sreejita Ghosh, Elizabeth Sarah Baranowski, Rick van Veen, Gert-Jan de Vries, Michael Biehl, Wiebke Arlt, Peter Tiño, Kerstin Bunte
2016	—	`conf`	Low-Rank Kernel Space Representations in Prototype Learning. WSOM Kerstin Bunte, Marika Kaden, Frank-Michael Schleif
2016	J	`jnl`	Sparse group factor analysis for biclustering of multiple data sources. Bioinform. Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen, Samuel Kaski
2016	J	`jnl`	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 Fabio Aiolli, Kerstin Bunte, Romain Hérault, Mikhail F. Kanevski
2015	J	`jnl`	Sparse group factor analysis for biclustering of multiple data sources. CoRR Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen, Samuel Kaski
2015	B	`conf`	Unsupervised dimensionality reduction: the challenge of big data visualization. ESANN Kerstin Bunte, John Aldo Lee
2014	J	`jnl`	Correlation-based embedding of pairwise score data. Neurocomputing Marc Strickert, Kerstin Bunte, Frank-Michael Schleif, Eyke Hüllermeier
2014	J	`jnl`	Erratum to: Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl
2014	A*	`conf`	Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. AAAI Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski
2013	J	`jnl`	Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl
2013	B	`conf`	Soft rank neighbor embeddings. ESANN Marc Strickert, Kerstin Bunte
2012	J	`jnl`	A General Framework for Dimensionality-Reducing Data Visualization Mapping. Neural Comput. Kerstin Bunte, Michael Biehl, Barbara Hammer
2012	J	`jnl`	Adaptive Dissimilarity Measures, Dimension Reduction and Visualization (University of Groningen). Künstliche Intell. Kerstin Bunte
2012	B	`conf`	Adaptive learning for complex-valued data. ESANN Kerstin Bunte, Frank-Michael Schleif, Michael Biehl
2012	B	`conf`	Large margin linear discriminative visualization by Matrix Relevance Learning. IJCNN Michael Biehl, Kerstin Bunte, Frank-Michael Schleif, Petra Schneider, Thomas Villmann
2012	J	`jnl`	Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl
2012	J	`jnl`	Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences. Neurocomputing Kerstin Bunte, Sven Haase, Michael Biehl, Thomas Villmann
2012	J	`jnl`	Texture feature ranking with relevance learning to classify interstitial lung disease patterns. Artif. Intell. Medicine Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller
2012	C	`conf`	Visualization of processes in self-learning systems. PST Gabriele Peters, Kerstin Bunte, Marc Strickert, Michael Biehl, Thomas Villmann
2011	—	`conf`	A General Framework for Dimensionality Reduction for Large Data Sets. WSOM Barbara Hammer, Michael Biehl, Kerstin Bunte, Bassam Mokbel
2011	—	`conf`	Adaptive Matrices for Color Texture Classification. CAIP (2) Kerstin Bunte, Ioannis Giotis, Nicolai Petkov, Michael Biehl
2011	C	`conf`	Dimensionality reduction mappings. CIDM Kerstin Bunte, Michael Biehl, Barbara Hammer
2011	J	`jnl`	Learning effective color features for content based image retrieval in dermatology. Pattern Recognit. Kerstin Bunte, Michael Biehl, Marcel F. Jonkman, Nicolai Petkov
2011	B	`conf`	Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization. ESANN Kerstin Bunte, Frank-Michael Schleif, Sven Haase, Thomas Villmann
2011	J	`jnl`	Neighbor embedding XOM for dimension reduction and visualization. Neurocomputing Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller
2011	B	`conf`	Supervised dimension reduction mappings. ESANN Kerstin Bunte, Michael Biehl, Barbara Hammer
2011	—	`conf`	Texture feature selection with relevance learning to classify interstitial lung disease patterns. Computer-Aided Diagnosis Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller
2010	J	`jnl`	Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. Neurocomputing Kerstin Bunte, Barbara Hammer, Axel Wismüller, Michael Biehl
2010	B	`conf`	Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization. ESANN Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller
2010	J	`jnl`	Regularization in matrix relevance learning. IEEE Trans. Neural Networks Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl
2010	—	`conf`	Some steps towards a general principle for dimensionality reduction mappings. Learning paradigms in dynamic environments Barbara Hammer, Kerstin Bunte, Michael Biehl
2009	B	`conf`	Adaptive Metrics for Content Based Image Retrieval in Dermatology. ESANN Kerstin Bunte, Michael Biehl, Nicolai Petkov, Marcel F. Jonkman
2009	C	`conf`	Nonlinear Dimension Reduction and Visualization of Labeled Data. CAIP Kerstin Bunte, Barbara Hammer, Michael Biehl
2009	B	`conf`	Nonlinear Discriminative Data Visualization. ESANN Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl