Daniela Hofmann
PEVZ-ID
13 Publikationen
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320Frenay, Benoit, Hofmann, Daniela, Schulz, Alexander, Biehl, Michael, and Hammer, Barbara. “Valid interpretation of feature relevance for linear data mappings”. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). Piscataway, NJ: Institute of Electrical & Electronics Engineers (IEEE), 2014. 149-156.PUB | PDF | DOI
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Hofmann, Daniela, Schleif, Frank-Michael, Paaßen, Benjamin, and Hammer, Barbara. “Learning interpretable kernelized prototype-based models”. Neurocomputing 141 (2014): 84-96.PUB | DOI | Download (ext.) | WoS
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2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982102Hofmann, Daniela, Gisbrecht, Andrej, and Hammer, Barbara. “Efficient Approximations of Kernel Robust Soft LVQ”. Advances in Self-Organizing Maps. Ed. Pablo A. Estévez, José C. Príncipe, and Pablo Zegers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. Advances in Intelligent Systems and Computing. 183-192.PUB | DOI
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625199Hofmann, Daniela, and Hammer, Barbara. “Sparse approximations for kernel learning vector quantization”. ESANN. 2013.PUB
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2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982106Gisbrecht, Andrej, Hofmann, Daniela, and Hammer, Barbara. “Discriminative Dimensionality Reduction Mappings”. Advances in Intelligent Data Analysis XI. Ed. Jaakko Hollmén, Frank Klawonn, and Allan Tucker. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. Lecture Notes in Computer Science. 126-138.PUB | DOI
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2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982107Hofmann, Daniela, and Hammer, Barbara. “Kernel Robust Soft Learning Vector Quantization”. Artificial Neural Networks in Pattern Recognition. Ed. Nadia Mana, Friedhelm Schwenker, and Edmondo Trentin. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. Lecture Notes in Computer Science. 14-23.PUB | DOI
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2671172Hofmann, Daniela, Gisbrecht, Andrej, and Hammer, Barbara. “Discriminative probabilistic prototype based models in kernel space”. Workshop NC^2 2012. TR Machine Learning Reports, 2012.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625238Hofmann, Daniela, Gisbrecht, Andrej, and Hammer, Barbara. “Efficient Approximations of Kernel Robust Soft LVQ”. WSOM. 2012.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625247Gisbrecht, Andrej, Hofmann, Daniela, and Hammer, Barbara. “Discriminative Dimensionality Reduction Mappings”. Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings. Ed. Jaakko Hollmén, Frank Klawonn, and Allan Tucker. Springer, 2012.Vol. 7619. Lecture Notes in Computer Science. 126-138.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625254Hofmann, Daniela, and Hammer, Barbara. “Kernel Robust Soft Learning Vector Quantization”. Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings. Ed. Nadia Mana, Friedhelm Schwenker, and Edmondo Trentin. Springer, 2012.Vol. 7477. Lecture Notes in Computer Science. 14-23.PUB