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For: Hammer B, Villmann T. Generalized relevance learning vector quantization. Neural Netw 2002;15:1059-68. [PMID: 12416694 DOI: 10.1016/s0893-6080(02)00079-5] [Citation(s) in RCA: 269] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Number Cited by Other Article(s)
1
van Veen R, Tamboli NRB, Lövdal S, Meles SK, Renken RJ, de Vries GJ, Arnaldi D, Morbelli S, Clavero P, Obeso JA, Oroz MCR, Leenders KL, Villmann T, Biehl M. Subspace corrected relevance learning with application in neuroimaging. Artif Intell Med 2024;149:102786. [PMID: 38462286 DOI: 10.1016/j.artmed.2024.102786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/12/2024] [Accepted: 01/21/2024] [Indexed: 03/12/2024]
2
Mavridis CN, Baras JS. Online Deterministic Annealing for Classification and Clustering. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023;34:7125-7134. [PMID: 34995199 DOI: 10.1109/tnnls.2021.3138676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
3
Zhao Y, Yang L. Distance metric learning based on the class center and nearest neighbor relationship. Neural Netw 2023;164:631-644. [PMID: 37245477 DOI: 10.1016/j.neunet.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 04/25/2023] [Accepted: 05/01/2023] [Indexed: 05/30/2023]
4
Engelsberger A, Villmann T. Quantum Computing Approaches for Vector Quantization-Current Perspectives and Developments. ENTROPY (BASEL, SWITZERLAND) 2023;25:540. [PMID: 36981428 PMCID: PMC10048050 DOI: 10.3390/e25030540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 03/15/2023] [Accepted: 03/20/2023] [Indexed: 06/18/2023]
5
Ravichandran J, Kaden M, Villmann T. Variants of recurrent learning vector quantization. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.06.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
6
Raab C, Röder M, Schleif FM. Domain Adversarial Tangent Subspace Alignment for Explainable Domain Adaptation. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.07.074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
7
Göpfert JP, Wersing H, Hammer B. Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2021.05.105] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
8
Medina-Rodríguez R, Beltrán-Castañón C, Hashimoto RF. An Approach to Growth Delimitation of Straight Line Segment Classifiers Based on a Minimum Bounding Box. ENTROPY 2021;23:e23111541. [PMID: 34828241 PMCID: PMC8618207 DOI: 10.3390/e23111541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/13/2021] [Accepted: 11/13/2021] [Indexed: 11/16/2022]
9
Kim ST, Choi IH, Li H. Identification of multi-concentration aromatic fragrances with electronic nose technology using a support vector machine. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021;13:4710-4717. [PMID: 34617937 DOI: 10.1039/d1ay00788b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
10
Bohnsack KS, Kaden M, Abel J, Saralajew S, Villmann T. The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers. ENTROPY (BASEL, SWITZERLAND) 2021;23:1357. [PMID: 34682081 PMCID: PMC8534762 DOI: 10.3390/e23101357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 10/11/2021] [Accepted: 10/14/2021] [Indexed: 11/16/2022]
11
Tang F, Feng H, Tino P, Si B, Ji D. Probabilistic learning vector quantization on manifold of symmetric positive definite matrices. Neural Netw 2021;142:105-118. [PMID: 33984734 DOI: 10.1016/j.neunet.2021.04.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 04/07/2021] [Accepted: 04/20/2021] [Indexed: 10/21/2022]
12
Manome N, Shinohara S, Takahashi T, Chen Y, Chung UI. Self-incremental learning vector quantization with human cognitive biases. Sci Rep 2021;11:3910. [PMID: 33594132 PMCID: PMC7887244 DOI: 10.1038/s41598-021-83182-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 01/27/2021] [Indexed: 11/30/2022]  Open
13
Tang F, Fan M, Tino P. Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2021;32:281-292. [PMID: 32203035 DOI: 10.1109/tnnls.2020.2978514] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
14
Han C, Li X, Yang Z, Zhou D, Zhao Y, Kong W. Sample-Guided Adaptive Class Prototype for Visual Domain Adaptation. SENSORS (BASEL, SWITZERLAND) 2020;20:E7036. [PMID: 33316906 PMCID: PMC7764304 DOI: 10.3390/s20247036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/02/2020] [Accepted: 12/07/2020] [Indexed: 11/21/2022]
15
Araújo AFR, Antonino VO, Ponce-Guevara KL. Self-organizing subspace clustering for high-dimensional and multi-view data. Neural Netw 2020;130:253-268. [PMID: 32711348 DOI: 10.1016/j.neunet.2020.06.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 04/30/2020] [Accepted: 06/28/2020] [Indexed: 12/14/2022]
16
An interpretable regression approach based on bi-sparse optimization. APPL INTELL 2020. [DOI: 10.1007/s10489-020-01687-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
17
Melchert F, Bani G, Seiffert U, Biehl M. Adaptive basis functions for prototype-based classification of functional data. Neural Comput Appl 2019. [DOI: 10.1007/s00521-019-04299-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
18
Villmann JM, Burkhardt R, Teren A, Villmann T, Thiery J, Drogies T. Atherosclerosis, myocardial infarction and primary hemostasis: Impact of platelets, von Willebrand factor and soluble glycoprotein VI. Thromb Res 2019;180:98-104. [PMID: 31276978 DOI: 10.1016/j.thromres.2019.06.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 06/07/2019] [Accepted: 06/24/2019] [Indexed: 11/18/2022]
19
Bittrich S, Kaden M, Leberecht C, Kaiser F, Villmann T, Labudde D. Application of an interpretable classification model on Early Folding Residues during protein folding. BioData Min 2019;12:1. [PMID: 30627219 PMCID: PMC6321665 DOI: 10.1186/s13040-018-0188-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 11/20/2018] [Indexed: 01/09/2023]  Open
20
Bittrich S, Schroeder M, Labudde D. Characterizing the relation of functional and Early Folding Residues in protein structures using the example of aminoacyl-tRNA synthetases. PLoS One 2018;13:e0206369. [PMID: 30376559 PMCID: PMC6207335 DOI: 10.1371/journal.pone.0206369] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 10/11/2018] [Indexed: 01/10/2023]  Open
21
Representation learning using event-based STDP. Neural Netw 2018;105:294-303. [DOI: 10.1016/j.neunet.2018.05.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 03/06/2018] [Accepted: 05/25/2018] [Indexed: 11/18/2022]
22
Li S, Wang Z, Wang J. Study of Face Orientation Recognition Based on Neural Network. INT J PATTERN RECOGN 2018. [DOI: 10.1142/s0218001418560153] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
23
Second Order Training of a Smoothed Piecewise Linear Network. Neural Process Lett 2017. [DOI: 10.1007/s11063-017-9618-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
24
Wang Q, Wang J, Zhou M, Li Q, Wang Y. Spectral-spatial feature-based neural network method for acute lymphoblastic leukemia cell identification via microscopic hyperspectral imaging technology. BIOMEDICAL OPTICS EXPRESS 2017;8:3017-3028. [PMID: 28663923 PMCID: PMC5480446 DOI: 10.1364/boe.8.003017] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 05/11/2017] [Accepted: 05/11/2017] [Indexed: 05/04/2023]
25
Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning. JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH 2016. [DOI: 10.1515/jaiscr-2017-0005] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]  Open
26
Learning vector quantization classifiers for ROC-optimization. Comput Stat 2016. [DOI: 10.1007/s00180-016-0678-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
27
Bohnsack A, Domaschke K, Kaden M, Lange M, Villmann T. Learning matrix quantization and relevance learning based on Schatten-p-norms. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.12.109] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
28
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. Knowl Based Syst 2016. [DOI: 10.1016/j.knosys.2015.12.006] [Citation(s) in RCA: 146] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
29
An online and incremental GRLVQ algorithm for prototype generation based on granular computing. Soft comput 2016. [DOI: 10.1007/s00500-016-2042-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
30
Median variants of learning vector quantization for learning of dissimilarity data. Neurocomputing 2015. [DOI: 10.1016/j.neucom.2014.12.096] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
31
Walter O, Haeb-Umbach R, Mokbel B, Paassen B, Hammer B. Autonomous Learning of Representations. KUNSTLICHE INTELLIGENZ 2015. [DOI: 10.1007/s13218-015-0372-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
32
Boareto M, Cesar J, Leite VBP, Caticha N. Supervised Variational Relevance Learning, An Analytic Geometric Feature Selection with Applications to Omic Datasets. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2015;12:705-711. [PMID: 26357281 DOI: 10.1109/tcbb.2014.2377750] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
33
Generic probabilistic prototype based classification of vectorial and proximity data. Neurocomputing 2015. [DOI: 10.1016/j.neucom.2014.12.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
34
Schleif FM, Hammer B, Monroy JG, Jimenez JG, Blanco-Claraco JL, Biehl M, Petkov N. Odor recognition in robotics applications by discriminative time-series modeling. Pattern Anal Appl 2015. [DOI: 10.1007/s10044-014-0442-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
35
Ridge B, Leonardis A, Ude A, Deniša M, Skočaj D. Self-Supervised Online Learning of Basic Object Push Affordances. INT J ADV ROBOT SYST 2015. [DOI: 10.5772/59654] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]  Open
36
Villmann T, Haase S, Kaden M. Kernelized vector quantization in gradient-descent learning. Neurocomputing 2015. [DOI: 10.1016/j.neucom.2013.11.048] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
37
Hocke J, Martinetz T. Maximum distance minimization for feature weighting. Pattern Recognit Lett 2015. [DOI: 10.1016/j.patrec.2014.10.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
38
Non-Euclidean principal component analysis by Hebbian learning. Neurocomputing 2015. [DOI: 10.1016/j.neucom.2013.11.049] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
39
Volpi M, Matasci G, Kanevski M, Tuia D. Semi-supervised multiview embedding for hyperspectral data classification. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2014.05.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
40
Kaden M, Riedel M, Hermann W, Villmann T. Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines. Soft comput 2014. [DOI: 10.1007/s00500-014-1496-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
41
Learning interpretable kernelized prototype-based models. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2014.03.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
42
Knauer U, Backhaus A, Seiffert U. Fusion trees for fast and accurate classification of hyperspectral data with ensembles of $$\gamma$$ γ -divergence-based RBF networks. Neural Comput Appl 2014. [DOI: 10.1007/s00521-014-1634-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
43
Villmann T, Kaden M, Nebel D, Riedel M. Lateral enhancement in adaptive metric learning for functional data. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2013.07.049] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
44
Backhaus A, Seiffert U. Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2013.09.048] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
45
Biehl M, Hammer B, Villmann T. Distance Measures for Prototype Based Classification. LECTURE NOTES IN COMPUTER SCIENCE 2014. [DOI: 10.1007/978-3-319-12084-3_9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
46
A review of learning vector quantization classifiers. Neural Comput Appl 2013. [DOI: 10.1007/s00521-013-1535-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
47
Fouad S, Tino P, Raychaudhury S, Schneider P. Incorporating privileged information through metric learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2013;24:1086-1098. [PMID: 24808523 DOI: 10.1109/tnnls.2013.2251470] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
48
Biehl M, Bunte K, Schneider P. Analysis of flow cytometry data by matrix relevance learning vector quantization. PLoS One 2013;8:e59401. [PMID: 23527184 PMCID: PMC3601077 DOI: 10.1371/journal.pone.0059401] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2012] [Accepted: 02/16/2013] [Indexed: 11/18/2022]  Open
49
Azzopardi G, Petkov N. Trainable COSFIRE filters for keypoint detection and pattern recognition. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2013;35:490-503. [PMID: 22585100 DOI: 10.1109/tpami.2012.106] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
50
Gradient Based Learning in Vector Quantization Using Differentiable Kernels. ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING 2013. [DOI: 10.1007/978-3-642-35230-0_20] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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