Andrej Gisbrecht

PEVZ-ID
18880725

48 Publikationen

Alle markieren

  • [48]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047 OA
    A. Gisbrecht, A. Schulz, and B. Hammer, “Parametric nonlinear dimensionality reduction using kernel t-SNE”, Neurocomputing, vol. 147, 2015, pp. 71-82.
    PUB | PDF | DOI | WoS
     
  • [47]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909226
    A. Gisbrecht and B. Hammer, “Data visualization by nonlinear dimensionality reduction”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 5, 2015, pp. 51-73.
    PUB | DOI | WoS
     
  • [46]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822 OA
    A. Schulz, A. Gisbrecht, and B. Hammer, “Using Discriminative Dimensionality Reduction to Visualize Classifiers”, Neural Processing Letters, vol. 42, 2015, pp. 27-54.
    PUB | PDF | DOI | WoS
     
  • [45]
    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885
    F.-M. Schleif, A. Gisbrecht, and P. Tino, “Large Scale Indefinite Kernel Fisher Discriminant”, Similarity-Based Pattern Recognition. Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Proceedings, A. Feragen, M. Pelillo, and M. Loog, eds., Lecture Notes in Computer Science, vol. 9370, Cham: Springer International Publishing, 2015, pp.160-170.
    PUB | DOI
     
  • [44]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772422
    A. Gisbrecht and F.-M. Schleif, “Metric and non-metric proximity transformations at linear costs”, Neurocomputing, vol. 167, 2015, pp. 643-657.
    PUB | DOI | WoS
     
  • [43]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2695196
    D. Hofmann, A. Gisbrecht, and B. Hammer, “Efficient approximations of robust soft learning vector quantization for non-vectorial data”, Neurocomputing, vol. 147, 2015, pp. 96-106.
    PUB | DOI | WoS
     
  • [42]
    2015 | Bielefelder E-Dissertation | PUB-ID: 2722974 OA
    A. Gisbrecht, Advances in dissimilarity-based data visualisation, Bielefeld: Universitätsbibliothek Bielefeld, 2015.
    PUB | PDF
     
  • [41]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557
    A. Schulz, A. Gisbrecht, and B. Hammer, “Relevance learning for dimensionality reduction”, ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, M. Verleysen, ed., Bruges, Belgium: i6doc.com, 2014, pp.165-170.
    PUB
     
  • [40]
    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324
    A. Gisbrecht, A. Schulz, and B. Hammer, “Discriminative Dimensionality Reduction for the Visualization of Classifiers”, Pattern Recognition Applications and Methods, Advances in Intelligent Systems and Computing, vol. 318, Cham: Springer Science + Business Media, 2014, pp.39-56.
    PUB | DOI
     
  • [39]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982102
    D. Hofmann, A. Gisbrecht, and B. Hammer, “Efficient Approximations of Kernel Robust Soft LVQ”, Advances in Self-Organizing Maps, P.A. Estévez, J.C. Príncipe, and P. Zegers, eds., Advances in Intelligent Systems and Computing, Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp.183-192.
    PUB | DOI
     
  • [38]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2623500
    A. Gisbrecht, et al., “Nonlinear dimensionality reduction for cluster identification in metagenomic samples”, 17th International Conference on Information Visualisation IV 2013, E. Banissi, ed., Piscataway, NJ: IEEE, 2013, pp.174-179.
    PUB | DOI
     
  • [37]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454
    B. Hammer, A. Gisbrecht, and A. Schulz, “Applications of discriminative dimensionality reduction”, Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, 2013, pp.33-41.
    PUB | DOI
     
  • [36]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612736
    B. Mokbel, et al., “Visualizing the quality of dimensionality reduction”, Neurocomputing, vol. 112, 2013, pp. 109-123.
    PUB | DOI | WoS
     
  • [35]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456
    A. Schulz, A. Gisbrecht, and B. Hammer, “Using Nonlinear Dimensionality Reduction to Visualize Classifiers”, Advances in computational intelligence. Proceedings. Vol 1, I. Rojas, G. Joya, and J. Gabestany, eds., Lecture Notes in Computer Science, vol. 7902, Springer, 2013, pp.59-68.
    PUB | DOI | WoS
     
  • [34]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467
    A. Schulz, A. Gisbrecht, and B. Hammer, “Classifier inspection based on different discriminative dimensionality reductions”, Workshop NC^2 2013, TR Machine Learning Reports, 2013, pp.77-86.
    PUB
     
  • [33]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625194
    A. Gisbrecht, et al., “Visualizing Dependencies of Spectral Features using Mutual Information”, ESANN, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2013, pp.573-578.
    PUB
     
  • [32]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615724
    F.-M. Schleif and A. Gisbrecht, “Data Analysis of (Non-)Metric Proximities at Linear Costs”, Proceedings of SIMBAD 2013, Berlin, Heidelberg: Springer, 2013, pp.59-74.
    PUB | DOI
     
  • [31]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982108
    A. Gisbrecht, B. Mokbel, and B. Hammer, “Linear basis-function t-SNE for fast nonlinear dimensionality reduction”, The 2012 International Joint Conference on Neural Networks (IJCNN), IEEE, 2012, pp.1-8.
    PUB | DOI
     
  • [30]
    2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982106
    A. Gisbrecht, D. Hofmann, and B. Hammer, “Discriminative Dimensionality Reduction Mappings”, Advances in Intelligent Data Analysis XI, J. Hollmén, F. Klawonn, and A. Tucker, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp.126-138.
    PUB | DOI
     
  • [29]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232
    A. Gisbrecht, et al., “Linear Time Relational Prototype Based Learning”, International Journal of Neural Systems, vol. 22, 2012, : 1250021.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [28]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449
    A. Schulz, et al., “How to visualize a classifier?”, Proceedings of the Workshop - New Challenges in Neural Computation 2012, Machine Learning Reports, 2012, pp.73-83.
    PUB
     
  • [27]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625260
    A. Gisbrecht, et al., “Out-of-sample kernel extensions for nonparametric dimensionality reduction”, ESANN 2012, 2012, pp.531-536.
    PUB
     
  • [26]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625265
    A. Gisbrecht, et al., “Relevance learning for time series inspection”, ESANN 2012, M. Verleysen, ed., 2012, pp.489-494.
    PUB
     
  • [25]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2671172
    D. Hofmann, A. Gisbrecht, and B. Hammer, “Discriminative probabilistic prototype based models in kernel space”, Workshop NC^2 2012, TR Machine Learning Reports, 2012.
    PUB
     
  • [24]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625238
    D. Hofmann, A. Gisbrecht, and B. Hammer, “Efficient Approximations of Kernel Robust Soft LVQ”, WSOM, 2012.
    PUB
     
  • [23]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625276
    A. Gisbrecht, B. Mokbel, and B. Hammer, “Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction”, IJCNN, 2012.
    PUB
     
  • [22]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453
    B. Hammer, A. Gisbrecht, and A. Schulz, “How to Visualize Large Data Sets?”, Presented at the Workshop Advances in Self-Organizing Maps (WSOM), Santiago, Chile, 2012.
    PUB | DOI
     
  • [21]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625247
    A. Gisbrecht, D. Hofmann, and B. Hammer, “Discriminative Dimensionality Reduction Mappings”, Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings, J. Hollmén, F. Klawonn, and A. Tucker, eds., Lecture Notes in Computer Science, vol. 7619, Springer, 2012, pp.126-138.
    PUB
     
  • [20]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750
    F.-M. Schleif, et al., “Fast approximated relational and kernel clustering”, Proceedings of ICPR 2012, IEEE, 2012, pp.1229-1232.
    PUB
     
  • [19]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877
    F.-M. Schleif, et al., “Learning Relevant Time Points for Time-Series Data in the Life Sciences”, ICANN (2), Lecture Notes in Computer Science, vol. 7553, Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp.531-539.
    PUB | DOI
     
  • [18]
    2012 | Konferenzbeitrag | PUB-ID: 2909356
    B. Mokbel, et al., “Visualizing the quality of dimensionality reduction”, ESANN 2012, M. Verleysen, ed., 2012, pp.179--184.
    PUB
     
  • [17]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905
    F.-M. Schleif, A. Gisbrecht, and B. Hammer, “Relevance learning for short high-dimensional time series in the life sciences”, IJCNN, IEEE Computational Intelligence Society and Institute of Electrical and Electronics Engineers, eds., Piscataway, NJ: IEEE, 2012, pp.1-8.
    PUB | DOI
     
  • [16]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852
    X. Zhu, et al., “Approximation techniques for clustering dissimilarity data”, Neurocomputing, vol. 90, 2012, pp. 72-84.
    PUB | DOI | WoS
     
  • [15]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113
    B. Hammer, et al., “Topographic Mapping of Dissimilarity Data”, Advances in Self-Organizing Maps, J. Laaksonen and T. Honkela, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.1-15.
    PUB | DOI
     
  • [14]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982110
    F.-M. Schleif, A. Gisbrecht, and B. Hammer, “Accelerating Kernel Neural Gas”, Artificial Neural Networks and Machine Learning – ICANN 2011, T. Honkela, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.150-158.
    PUB | DOI
     
  • [13]
    2011 | Preprint | Veröffentlicht | PUB-ID: 2534994
    F.-M. Schleif, A. Gisbrecht, and B. Hammer, “Supervised learning of short and high-dimensional temporal sequences for life science measurements”, 2011.
    PUB | arXiv
     
  • [12]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480
    A. Gisbrecht, et al., “Linear time heuristics for topographic mapping of dissimilarity data”, Intelligent Data Engineering and Automated Learning - IDEAL 2011: IDEAL 2011, 12th international conference, Norwich, UK, September 7 - 9, 2011 ; proceedings, Lecture Notes in Computer Science, vol. 6936, Berlin, Heidelberg: Springer, 2011, pp.25-33.
    PUB | DOI
     
  • [11]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485
    B. Hammer, et al., “Topographic Mapping of Dissimilarity Data”, WSOM'11, 2011.
    PUB
     
  • [10]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492
    F.-M. Schleif, A. Gisbrecht, and B. Hammer, “Accelerating Kernel Neural Gas”, ICANN'2011, S. Kaski, et al., eds., 2011.
    PUB
     
  • [9]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2276531
    A. Gisbrecht, B. Mokbel, and B. Hammer, “Relational Generative Topographic Mapping”, Neurocomputing, vol. 74, 2011, pp. 1359-1371.
    PUB | DOI | WoS
     
  • [8]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522
    A. Gisbrecht, et al., “Accelerating dissimilarity clustering for biomedical data analysis”, IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011, pp.pp.154-161.
    PUB
     
  • [7]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2276540
    A. Gisbrecht and B. Hammer, “Relevance learning in generative topographic mapping”, Neurocomputing, vol. 74, 2011, pp. 1351-1358.
    PUB | DOI | WoS
     
  • [6]
    2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982117
    A. Gisbrecht, et al., “Visualizing Dissimilarity Data Using Generative Topographic Mapping”, KI 2010: Advances in Artificial Intelligence, R. Dillmann, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp.227-237.
    PUB | DOI
     
  • [5]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276543
    A. Gisbrecht, B. Mokbel, and B. Hammer, “The Nystrom approximation for relational generative topographic mappings”, NIPS workshop on challenges of Data Visualization, 2010.
    PUB
     
  • [4]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276547
    B. Mokbel, A. Gisbrecht, and B. Hammer, “On the effect of clustering on quality assessment measures for dimensionality reduction”, NIPS workshop on Challenges of Data Visualization, 2010.
    PUB
     
  • [3]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993448
    A. Gisbrecht and B. Hammer, “Relevance learning in generative topographic maps”, ESANN'10, M. Verleysen, ed., Evere: D side, 2010, pp.387-392.
    PUB
     
  • [2]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993452
    A. Gisbrecht, B. Mokbel, and B. Hammer, “Relational Generative Topographic Map”, ESANN'10, M. Verleysen, ed., Evere: D side, 2010, pp.277-282.
    PUB
     
  • [1]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993457
    A. Gisbrecht, et al., “Visualizing Dissimilarity Data using generative topographic mapping”, KI'2010, R. Dillmann, et al., eds., 2010, pp.227-237.
    PUB
     
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