Year |
Citation |
Score |
2019 |
Mohammadi M, Petkov N, Bunte K, Peletier RF, Schleif F. Globular cluster detection in the GAIA survey Neurocomputing. 342: 164-171. DOI: 10.1016/J.Neucom.2018.10.081 |
0.334 |
|
2018 |
Bunte K, Smith DJ, Chappell MJ, Hassan-Smith ZK, Tomlinson JW, Arlt W, Tiňo P. Learning pharmacokinetic models for in vivo glucocorticoid activation. Journal of Theoretical Biology. 455: 222-231. PMID 30048717 DOI: 10.1016/J.Jtbi.2018.07.025 |
0.377 |
|
2016 |
Bunte K, Leppäaho E, Saarinen I, Kaski S. Sparse group factor analysis for biclustering of multiple data sources. Bioinformatics (Oxford, England). 32: 2457-63. PMID 27153643 DOI: 10.1093/Bioinformatics/Btw207 |
0.349 |
|
2014 |
Strickert M, Bunte K, Schleif F, Hüllermeier E. Correlation-based embedding of pairwise score data Neurocomputing. 141: 97-109. DOI: 10.1016/J.Neucom.2014.01.049 |
0.355 |
|
2013 |
Biehl M, Bunte K, Schneider P. Analysis of Flow Cytometry Data by Matrix Relevance Learning Vector Quantization Plos One. 8. PMID 23527184 DOI: 10.1371/Journal.Pone.0059401 |
0.702 |
|
2013 |
Giotis I, Bunte K, Petkov N, Biehl M. Erratum to: Adaptive Matrices and Filters for Color Texture Classification Journal of Mathematical Imaging and Vision. 48: 202-202. DOI: 10.1007/S10851-013-0472-1 |
0.524 |
|
2013 |
Giotis I, Bunte K, Petkov N, Biehl M. Adaptive matrices and filters for color texture classification Journal of Mathematical Imaging and Vision. 47: 79-92. DOI: 10.1007/S10851-012-0356-9 |
0.609 |
|
2012 |
Huber MB, Bunte K, Nagarajan MB, Biehl M, Ray LA, Wismüller A. Texture feature ranking with relevance learning to classify interstitial lung disease patterns. Artificial Intelligence in Medicine. 56: 91-7. PMID 23010586 DOI: 10.1016/J.Artmed.2012.07.001 |
0.582 |
|
2012 |
Bunte K, Schneider P, Hammer B, Schleif FM, Villmann T, Biehl M. Limited Rank Matrix Learning, discriminative dimension reduction and visualization Neural Networks. 26: 159-173. PMID 22041220 DOI: 10.1016/J.Neunet.2011.10.001 |
0.717 |
|
2012 |
Bunte K, Biehl M, Hammer B. A general framework for dimensionality-reducing data visualization mapping Neural Computation. 24: 771-804. DOI: 10.1162/Neco_A_00250 |
0.588 |
|
2012 |
Peters G, Bunte K, Strickert M, Biehl M, Villmann T. Visualization of processes in self-learning systems 2012 10th Annual International Conference On Privacy, Security and Trust, Pst 2012. 244-249. DOI: 10.1109/PST.2012.6297953 |
0.507 |
|
2012 |
Biehl M, Bunte K, Schleif FM, Schneider P, Villmann T. Large margin linear discriminative visualization by matrix relevance learning Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252627 |
0.564 |
|
2012 |
Bunte K, Haase S, Biehl M, Villmann T. Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences Neurocomputing. 90: 23-45. DOI: 10.1016/J.Neucom.2012.02.034 |
0.685 |
|
2012 |
Bunte K. Adaptive Dissimilarity Measures, Dimension Reduction and Visualization (University of Groningen) Ki - KüNstliche Intelligenz. 26: 417-418. DOI: 10.1007/S13218-012-0200-9 |
0.338 |
|
2011 |
Huber MB, Bunte K, Nagarajan MB, Biehl M, Ray LA, Wismueller A. Texture feature selection with relevance learning to classify interstitial lung disease patterns Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963. DOI: 10.1117/12.877894 |
0.606 |
|
2011 |
Bunte K, Biehl M, Hammer B. Dimensionality reduction mappings Ieee Ssci 2011: Symposium Series On Computational Intelligence - Cidm 2011: 2011 Ieee Symposium On Computational Intelligence and Data Mining. 349-356. DOI: 10.1109/CIDM.2011.5949443 |
0.424 |
|
2011 |
Bunte K, Biehl M, Jonkman MF, Petkov N. Learning effective color features for content based image retrieval in dermatology Pattern Recognition. 44: 1892-1902. DOI: 10.1016/J.Patcog.2010.10.024 |
0.581 |
|
2011 |
Bunte K, Hammer B, Villmann T, Biehl M, Wismüller A. Neighbor embedding XOM for dimension reduction and visualization Neurocomputing. 74: 1340-1350. DOI: 10.1016/J.Neucom.2010.11.027 |
0.628 |
|
2011 |
Bunte K, Giotis I, Petkov N, Biehl M. Adaptive matrices for color texture classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6855: 489-497. DOI: 10.1007/978-3-642-23678-5_58 |
0.495 |
|
2011 |
Hammer B, Biehl M, Bunte K, Mokbel B. A general framework for dimensionality reduction for large data sets Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6731: 277-287. DOI: 10.1007/978-3-642-21566-7_28 |
0.524 |
|
2010 |
Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M. Regularization in matrix relevance learning. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 831-40. PMID 20236882 DOI: 10.1109/Tnn.2010.2042729 |
0.706 |
|
2010 |
Bunte K, Hammer B, Wismüller A, Biehl M. Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data Neurocomputing. 73: 1074-1092. DOI: 10.1016/J.Neucom.2009.11.017 |
0.642 |
|
2009 |
Bunte K, Hammer B, Biehl M. Nonlinear dimension reduction and visualization of labeled data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5702: 1162-1170. DOI: 10.1007/978-3-642-03767-2_141 |
0.537 |
|
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