Andrej Gisbrecht
PEVZ-ID
48 Publikationen
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2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885Schleif, F. - M., Gisbrecht, A., and Tino, P. (2015). “Large Scale Indefinite Kernel Fisher Discriminant” in Similarity-Based Pattern Recognition. Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Proceedings, Feragen, A., Pelillo, M., and Loog, M. eds. Lecture Notes in Computer Science, vol. 9370, (Cham: Springer International Publishing), 160-170.PUB | DOI
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557Schulz, A., Gisbrecht, A., and Hammer, B. (2014). “Relevance learning for dimensionality reduction” in ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Verleysen, M. ed. (Bruges, Belgium: i6doc.com), 165-170.PUB
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2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324Gisbrecht, A., Schulz, A., and Hammer, B. (2014). “Discriminative Dimensionality Reduction for the Visualization of Classifiers” in Pattern Recognition Applications and Methods Advances in Intelligent Systems and Computing, vol. 318, (Cham: Springer Science + Business Media), 39-56.PUB | DOI
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2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982102Hofmann, D., Gisbrecht, A., and Hammer, B. (2013). “Efficient Approximations of Kernel Robust Soft LVQ” in Advances in Self-Organizing Maps, Estévez, P. A., Príncipe, J. C., and Zegers, P. eds. Advances in Intelligent Systems and Computing (Berlin, Heidelberg: Springer Berlin Heidelberg), 183-192.PUB | DOI
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2623500Gisbrecht, A., Hammer, B., Mokbel, B., and Sczyrba, A. (2013). “Nonlinear dimensionality reduction for cluster identification in metagenomic samples” in 17th International Conference on Information Visualisation IV 2013, Banissi, E. ed. (Piscataway, NJ: IEEE), 174-179.PUB | DOI
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456Schulz, A., Gisbrecht, A., and Hammer, B. (2013). “Using Nonlinear Dimensionality Reduction to Visualize Classifiers” in Advances in computational intelligence. Proceedings. Vol 1, Rojas, I., Joya, G., and Gabestany, J. eds. Lecture Notes in Computer Science, vol. 7902, (Springer), 59-68.PUB | DOI | WoS
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467Schulz, A., Gisbrecht, A., and Hammer, B. (2013). “Classifier inspection based on different discriminative dimensionality reductions” in Workshop NC^2 2013 (TR Machine Learning Reports), 77-86.PUB
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625194Gisbrecht, A., Miche, Y., Hammer, B., and Lendasse, A. (2013). “Visualizing Dependencies of Spectral Features using Mutual Information” in ESANN, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 573-578.PUB
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2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982106Gisbrecht, A., Hofmann, D., and Hammer, B. (2012). “Discriminative Dimensionality Reduction Mappings” in Advances in Intelligent Data Analysis XI, Hollmén, J., Klawonn, F., and Tucker, A. eds. Lecture Notes in Computer Science (Berlin, Heidelberg: Springer Berlin Heidelberg), 126-138.PUB | DOI
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232Gisbrecht, A., Mokbel, B., Schleif, F. - M., Zhu, X., and Hammer, B. (2012). Linear Time Relational Prototype Based Learning. International Journal of Neural Systems 22:1250021.PUB | DOI | WoS | PubMed | Europe PMC
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449Schulz, A., Gisbrecht, A., Bunte, K., and Hammer, B. (2012). “How to visualize a classifier?” in Proceedings of the Workshop - New Challenges in Neural Computation 2012 (Machine Learning Reports), 73-83.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625260Gisbrecht, A., Lueks, W., Mokbel, B., and Hammer, B. (2012). “Out-of-sample kernel extensions for nonparametric dimensionality reduction” in ESANN 2012 531-536.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625265Gisbrecht, A., Sovilj, D., Hammer, B., and Lendasse, A. (2012). “Relevance learning for time series inspection” in ESANN 2012, Verleysen, M. ed. 489-494.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2671172Hofmann, D., Gisbrecht, A., and Hammer, B. (2012). “Discriminative probabilistic prototype based models in kernel space” in Workshop NC^2 2012 (TR Machine Learning Reports).PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625238Hofmann, D., Gisbrecht, A., and Hammer, B. (2012). “Efficient Approximations of Kernel Robust Soft LVQ” in WSOM.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625276Gisbrecht, A., Mokbel, B., and Hammer, B. (2012). “Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction” in IJCNN.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625247Gisbrecht, A., Hofmann, D., and Hammer, B. (2012). “Discriminative Dimensionality Reduction Mappings” in Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings, Hollmén, J., Klawonn, F., and Tucker, A. eds. Lecture Notes in Computer Science, vol. 7619, (Springer), 126-138.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750Schleif, F. - M., Zhu, X., Gisbrecht, A., and Hammer, B. (2012). “Fast approximated relational and kernel clustering” in Proceedings of ICPR 2012 (IEEE), 1229-1232.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877Schleif, F. - M., Mokbel, B., Gisbrecht, A., Theunissen, L., Dürr, V., and Hammer, B. (2012). “Learning Relevant Time Points for Time-Series Data in the Life Sciences” in ICANN (2) Lecture Notes in Computer Science, vol. 7553, (Berlin, Heidelberg: Springer Berlin Heidelberg), 531-539.PUB | DOI
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2012 | Konferenzbeitrag | PUB-ID: 2909356Mokbel, B., Lueks, W., Gisbrecht, A., Biehl, M., and Hammer, B. (2012). “Visualizing the quality of dimensionality reduction” in ESANN 2012, Verleysen, M. ed. 179--184.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905Schleif, F. - M., Gisbrecht, A., and Hammer, B. (2012). “Relevance learning for short high-dimensional time series in the life sciences” in IJCNN, IEEE Computational Intelligence Society, and Institute of Electrical and Electronics Engineers eds. (Piscataway, NJ: IEEE), 1-8.PUB | DOI
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F. - M., and Zhu, X. (2011). “Topographic Mapping of Dissimilarity Data” in Advances in Self-Organizing Maps, Laaksonen, J., and Honkela, T. eds. Lecture Notes in Computer Science (Berlin, Heidelberg: Springer Berlin Heidelberg), 1-15.PUB | DOI
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982110Schleif, F. - M., Gisbrecht, A., and Hammer, B. (2011). “Accelerating Kernel Neural Gas” in Artificial Neural Networks and Machine Learning – ICANN 2011, Honkela, T., Duch, W., Girolami, M., and Kaski, S. eds. Lecture Notes in Computer Science (Berlin, Heidelberg: Springer Berlin Heidelberg), 150-158.PUB | DOI
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480Gisbrecht, A., Schleif, F. - M., Zhu, X., and Hammer, B. (2011). “Linear time heuristics for topographic mapping of dissimilarity data” in 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), 25-33.PUB | DOI
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F. - M., and Zhu, X. (2011). “Topographic Mapping of Dissimilarity Data” in WSOM'11.PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492Schleif, F. - M., Gisbrecht, A., and Hammer, B. (2011). “Accelerating Kernel Neural Gas” in ICANN'2011, Kaski, S., Honkela, T., Gitolami, M., and Dutch, W. eds.PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522Gisbrecht, A., Hammer, B., Schleif, F. - M., and Zhu, X. (2011). “Accelerating dissimilarity clustering for biomedical data analysis” in IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology pp.154-161.PUB
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2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982117Gisbrecht, A., Mokbel, B., Hasenfuss, A., and Hammer, B. (2010). “Visualizing Dissimilarity Data Using Generative Topographic Mapping” in KI 2010: Advances in Artificial Intelligence, Dillmann, R., Beyerer, J., Hanebeck, U. D., and Schultz, T. eds. Lecture Notes in Computer Science (Berlin, Heidelberg: Springer Berlin Heidelberg), 227-237.PUB | DOI
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276543Gisbrecht, A., Mokbel, B., and Hammer, B. (2010). “The Nystrom approximation for relational generative topographic mappings” in NIPS workshop on challenges of Data Visualization.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276547Mokbel, B., Gisbrecht, A., and Hammer, B. (2010). “On the effect of clustering on quality assessment measures for dimensionality reduction” in NIPS workshop on Challenges of Data Visualization.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993448Gisbrecht, A., and Hammer, B. (2010). “Relevance learning in generative topographic maps” in ESANN'10, Verleysen, M. ed. (Evere: D side), 387-392.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993452Gisbrecht, A., Mokbel, B., and Hammer, B. (2010). “Relational Generative Topographic Map” in ESANN'10, Verleysen, M. ed. (Evere: D side), 277-282.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993457Gisbrecht, A., Mokbel, B., Hasenfuss, A., and Hammer, B. (2010). “Visualizing Dissimilarity Data using generative topographic mapping” in KI'2010, Dillmann, R., Beyerer, J., Hanebeck, U. D., and Schulz, T. eds. 227-237.PUB