33 Publikationen

Alle markieren

[33]
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2944327
Panda, A., Yadav, A., Yeerna, H., Singh, A., Biehl, M., Lux, M., Schulz, A., Klecha, T., Doniach, S., Khiabanian, H., et al. (2020). Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples. Nucleic acids research.
PUB | DOI | PubMed | Europe PMC
 
[32]
2020 | Konferenzbeitrag | PUB-ID: 2943260
Schulz, A., Hinder, F., and Hammer, B. (2020). “DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction” in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}.
PUB | DOI | Download (ext.)
 
[31]
2020 | Konferenzbeitrag | Im Druck | PUB-ID: 2941931
Paaßen, B., and Schulz, A. (In Press). “Reservoir memory machines” in Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020), Verleysen, M. ed. (Bruges).
PUB | Download (ext.) | arXiv
 
[30]
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458 OA
Prahm, C., Schulz, A., Paaßen, B., Schoisswohl, J., Kaniusas, E., Dorffner, G., Hammer, B., and Aszmann, O. (2019). Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering 27, 956-962.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[29]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505
Paaßen, B., Schulz, A., Hahne, J., and Hammer, B. (2018). Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298, 122-133.
PUB | DOI | Download (ext.) | WoS | arXiv
 
[28]
2018 | Konferenzbeitrag | PUB-ID: 2930001 OA
Schulz, A., Queißer, J., Ishihara, H., and Asada, M. (2018).“Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto”. Presented at the International Conference on Development and Learning and on Epigenetic Robotics 2018 (ICDL-EPIROB2018), Tokyo (In Press).
PUB | PDF
 
[27]
2018 | Konferenzbeitrag | PUB-ID: 2916318
Berger, K., Schulz, A., Paaßen, B., and Hammer, B. (2018).“Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier”. Presented at the SSCI CIDM 2017.
PUB | DOI
 
[26]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369 OA
Paaßen, B., Schulz, A., Hahne, J., and Hammer, B. (2017). “An EM transfer learning algorithm with applications in bionic hand prostheses” in Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017), Verleysen, M. ed. (Bruges: i6doc.com), 129-134.
PUB | PDF
 
[25]
2017 | Datenpublikation | PUB-ID: 2912671 OA
Paaßen, B., and Schulz, A. (2017). Linear Supervised Transfer Learning Toolbox. Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[24]
2017 | Bielefelder E-Dissertation | PUB-ID: 2914256 OA
Schulz, A. (2017). Discriminative dimensionality reduction: variations, applications, interpretations. Bielefeld: Universität Bielefeld.
PUB | PDF
 
[23]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372 OA
Schulz, A., Brinkrolf, J., and Hammer, B. (2017). Efficient Kernelization of Discriminative Dimensionality Reduction. Neurocomputing 268, 34-41.
PUB | PDF | DOI | WoS
 
[22]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037 OA
Prahm, C., Schulz, A., Paaßen, B., Aszmann, O., Hammer, B., and Dorffner, G. (2017). “Echo State Networks as Novel Approach for Low-Cost Myoelectric Control” in Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017), ten Telje, A., Popow, C., Holmes, J. H., and Sacchi, L. eds. Lecture Notes in Computer Science, vol. 10259, (Springer), 338--342.
PUB | Dateien verfügbar | DOI
 
[21]
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909 OA
Schulz, A., and Hammer, B. (2016). “Discriminative Dimensionality Reduction in Kernel Space” in ESANN2016 Proceedings. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium,27-29 April 2016 (i6doc.com).
PUB | PDF
 
[20]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855
Paaßen, B., Schulz, A., and Hammer, B. (2016). “Linear Supervised Transfer Learning for Generalized Matrix LVQ” in Proceedings of the Workshop New Challenges in Neural Computation 2016, Hammer, B., Martinetz, T., and Villmann, T. eds. Machine Learning Reports 11-18.
PUB | Download (ext.)
 
[19]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178 OA
Prahm, C., Paaßen, B., Schulz, A., Hammer, B., and Aszmann, O. (2016). “Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift” in Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), Ibáñez, J., Gonzáles-Vargas, J., Azorín, J. M., Akay, M., and Pons, J. L. eds. (Springer), 153--157.
PUB | PDF | DOI | Download (ext.)
 
[18]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047 OA
Gisbrecht, A., Schulz, A., and Hammer, B. (2015). Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing 147, 71-82.
PUB | PDF | DOI | WoS
 
[17]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777 OA
Schulz, A., Mokbel, B., Biehl, M., and Hammer, B. (2015). “Inferring Feature Relevances From Metric Learning” in 2015 IEEE Symposium Series on Computational Intelligence (Piscataway, NJ: IEEE).
PUB | PDF | DOI
 
[16]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303 OA
Schulz, A., and Hammer, B. (2015). “Visualization of Regression Models Using Discriminative Dimensionality Reduction” in Computer Analysis of Images and Patterns Lecture Notes in Computer Science, vol. 9257, (Cham: Springer Science + Business Media), 437-449.
PUB | PDF | DOI
 
[15]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822 OA
Schulz, A., Gisbrecht, A., and Hammer, B. (2015). Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Processing Letters 42, 27-54.
PUB | PDF | DOI | WoS
 
[14]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325 OA
Blöbaum, P., Schulz, A., and Hammer, B. (2015). “Unsupervised Dimensionality Reduction for Transfer Learning” in Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Verleysen, M. ed. (Louvain-la-Neuve: Ciaco), 507-512.
PUB | PDF
 
[13]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900319
Schulz, A., and Hammer, B. (2015). “Discriminative dimensionality reduction for regression problems using the Fisher metric” in 2015 International Joint Conference on Neural Networks (IJCNN) (Institute of Electrical & Electronics Engineers (IEEE), 1-8.
PUB | DOI
 
[12]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369 OA
Mokbel, B., and Schulz, A. (2015). “Towards Dimensionality Reduction for Smart Home Sensor Data” in Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015), Hammer, B., Martinetz, T., and Villmann, T. eds. Machine Learning Reports 41-48.
PUB | PDF | Download (ext.)
 
[11]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318
Schulz, A., and Hammer, B. (2015). “Metric Learning in Dimensionality Reduction” in Proceedings of the International Conference on Pattern Recognition Applications and Methods (Scitepress), 232-239.
PUB | DOI
 
[10]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320
Frenay, B., Hofmann, D., Schulz, A., Biehl, M., and Hammer, B. (2014). “Valid interpretation of feature relevance for linear data mappings” in 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (Institute of Electrical & Electronics Engineers (IEEE), 149-156.
PUB | DOI
 
[9]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557
Schulz, 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
 
[8]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900322
Bloebaum, P., and Schulz, A. (2014). “Transfer Learning without given Correspondences” in Proceedings of the Workshop New Challenges in Neural Computation (NC² 2014), Hammer, B., Martinetz, T., and Villmann, T. eds. Machine Learning Reports 42-51.
PUB
 
[7]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324
Gisbrecht, 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
 
[6]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454
Hammer, B., Gisbrecht, A., and Schulz, A. (2013). “Applications of discriminative dimensionality reduction” in Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (SCITEPRESS), 33-41.
PUB | DOI
 
[5]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456
Schulz, 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
 
[4]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466
Vukanovicz, S., Schulz, A., Haschke, R., and Ritter, H. (2013). “Learning the Appropriate Model Population Structures for Locally Weighted Regression” in Workshop New Challenges in Neural Computation 2013 Machine Learning Reports, vol. 2013, (Bielefeld: Universität Bielefeld), 87.
PUB
 
[3]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467
Schulz, 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
 
[2]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449
Schulz, 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
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453
Hammer, B., Gisbrecht, A., and Schulz, A. (2012).“How to Visualize Large Data Sets?”. Presented at the Workshop Advances in Self-Organizing Maps (WSOM), Santiago, Chile.
PUB | DOI
 

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Zitationsstil: frontiers

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33 Publikationen

Alle markieren

[33]
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2944327
Panda, A., Yadav, A., Yeerna, H., Singh, A., Biehl, M., Lux, M., Schulz, A., Klecha, T., Doniach, S., Khiabanian, H., et al. (2020). Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples. Nucleic acids research.
PUB | DOI | PubMed | Europe PMC
 
[32]
2020 | Konferenzbeitrag | PUB-ID: 2943260
Schulz, A., Hinder, F., and Hammer, B. (2020). “DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction” in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}.
PUB | DOI | Download (ext.)
 
[31]
2020 | Konferenzbeitrag | Im Druck | PUB-ID: 2941931
Paaßen, B., and Schulz, A. (In Press). “Reservoir memory machines” in Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020), Verleysen, M. ed. (Bruges).
PUB | Download (ext.) | arXiv
 
[30]
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458 OA
Prahm, C., Schulz, A., Paaßen, B., Schoisswohl, J., Kaniusas, E., Dorffner, G., Hammer, B., and Aszmann, O. (2019). Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering 27, 956-962.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[29]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505
Paaßen, B., Schulz, A., Hahne, J., and Hammer, B. (2018). Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298, 122-133.
PUB | DOI | Download (ext.) | WoS | arXiv
 
[28]
2018 | Konferenzbeitrag | PUB-ID: 2930001 OA
Schulz, A., Queißer, J., Ishihara, H., and Asada, M. (2018).“Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto”. Presented at the International Conference on Development and Learning and on Epigenetic Robotics 2018 (ICDL-EPIROB2018), Tokyo (In Press).
PUB | PDF
 
[27]
2018 | Konferenzbeitrag | PUB-ID: 2916318
Berger, K., Schulz, A., Paaßen, B., and Hammer, B. (2018).“Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier”. Presented at the SSCI CIDM 2017.
PUB | DOI
 
[26]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369 OA
Paaßen, B., Schulz, A., Hahne, J., and Hammer, B. (2017). “An EM transfer learning algorithm with applications in bionic hand prostheses” in Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017), Verleysen, M. ed. (Bruges: i6doc.com), 129-134.
PUB | PDF
 
[25]
2017 | Datenpublikation | PUB-ID: 2912671 OA
Paaßen, B., and Schulz, A. (2017). Linear Supervised Transfer Learning Toolbox. Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[24]
2017 | Bielefelder E-Dissertation | PUB-ID: 2914256 OA
Schulz, A. (2017). Discriminative dimensionality reduction: variations, applications, interpretations. Bielefeld: Universität Bielefeld.
PUB | PDF
 
[23]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372 OA
Schulz, A., Brinkrolf, J., and Hammer, B. (2017). Efficient Kernelization of Discriminative Dimensionality Reduction. Neurocomputing 268, 34-41.
PUB | PDF | DOI | WoS
 
[22]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037 OA
Prahm, C., Schulz, A., Paaßen, B., Aszmann, O., Hammer, B., and Dorffner, G. (2017). “Echo State Networks as Novel Approach for Low-Cost Myoelectric Control” in Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017), ten Telje, A., Popow, C., Holmes, J. H., and Sacchi, L. eds. Lecture Notes in Computer Science, vol. 10259, (Springer), 338--342.
PUB | Dateien verfügbar | DOI
 
[21]
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909 OA
Schulz, A., and Hammer, B. (2016). “Discriminative Dimensionality Reduction in Kernel Space” in ESANN2016 Proceedings. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium,27-29 April 2016 (i6doc.com).
PUB | PDF
 
[20]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855
Paaßen, B., Schulz, A., and Hammer, B. (2016). “Linear Supervised Transfer Learning for Generalized Matrix LVQ” in Proceedings of the Workshop New Challenges in Neural Computation 2016, Hammer, B., Martinetz, T., and Villmann, T. eds. Machine Learning Reports 11-18.
PUB | Download (ext.)
 
[19]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178 OA
Prahm, C., Paaßen, B., Schulz, A., Hammer, B., and Aszmann, O. (2016). “Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift” in Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), Ibáñez, J., Gonzáles-Vargas, J., Azorín, J. M., Akay, M., and Pons, J. L. eds. (Springer), 153--157.
PUB | PDF | DOI | Download (ext.)
 
[18]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047 OA
Gisbrecht, A., Schulz, A., and Hammer, B. (2015). Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing 147, 71-82.
PUB | PDF | DOI | WoS
 
[17]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777 OA
Schulz, A., Mokbel, B., Biehl, M., and Hammer, B. (2015). “Inferring Feature Relevances From Metric Learning” in 2015 IEEE Symposium Series on Computational Intelligence (Piscataway, NJ: IEEE).
PUB | PDF | DOI
 
[16]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303 OA
Schulz, A., and Hammer, B. (2015). “Visualization of Regression Models Using Discriminative Dimensionality Reduction” in Computer Analysis of Images and Patterns Lecture Notes in Computer Science, vol. 9257, (Cham: Springer Science + Business Media), 437-449.
PUB | PDF | DOI
 
[15]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822 OA
Schulz, A., Gisbrecht, A., and Hammer, B. (2015). Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Processing Letters 42, 27-54.
PUB | PDF | DOI | WoS
 
[14]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325 OA
Blöbaum, P., Schulz, A., and Hammer, B. (2015). “Unsupervised Dimensionality Reduction for Transfer Learning” in Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Verleysen, M. ed. (Louvain-la-Neuve: Ciaco), 507-512.
PUB | PDF
 
[13]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900319
Schulz, A., and Hammer, B. (2015). “Discriminative dimensionality reduction for regression problems using the Fisher metric” in 2015 International Joint Conference on Neural Networks (IJCNN) (Institute of Electrical & Electronics Engineers (IEEE), 1-8.
PUB | DOI
 
[12]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369 OA
Mokbel, B., and Schulz, A. (2015). “Towards Dimensionality Reduction for Smart Home Sensor Data” in Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015), Hammer, B., Martinetz, T., and Villmann, T. eds. Machine Learning Reports 41-48.
PUB | PDF | Download (ext.)
 
[11]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318
Schulz, A., and Hammer, B. (2015). “Metric Learning in Dimensionality Reduction” in Proceedings of the International Conference on Pattern Recognition Applications and Methods (Scitepress), 232-239.
PUB | DOI
 
[10]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320
Frenay, B., Hofmann, D., Schulz, A., Biehl, M., and Hammer, B. (2014). “Valid interpretation of feature relevance for linear data mappings” in 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (Institute of Electrical & Electronics Engineers (IEEE), 149-156.
PUB | DOI
 
[9]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557
Schulz, 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
 
[8]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900322
Bloebaum, P., and Schulz, A. (2014). “Transfer Learning without given Correspondences” in Proceedings of the Workshop New Challenges in Neural Computation (NC² 2014), Hammer, B., Martinetz, T., and Villmann, T. eds. Machine Learning Reports 42-51.
PUB
 
[7]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324
Gisbrecht, 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
 
[6]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454
Hammer, B., Gisbrecht, A., and Schulz, A. (2013). “Applications of discriminative dimensionality reduction” in Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (SCITEPRESS), 33-41.
PUB | DOI
 
[5]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456
Schulz, 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
 
[4]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466
Vukanovicz, S., Schulz, A., Haschke, R., and Ritter, H. (2013). “Learning the Appropriate Model Population Structures for Locally Weighted Regression” in Workshop New Challenges in Neural Computation 2013 Machine Learning Reports, vol. 2013, (Bielefeld: Universität Bielefeld), 87.
PUB
 
[3]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467
Schulz, 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
 
[2]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449
Schulz, 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
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453
Hammer, B., Gisbrecht, A., and Schulz, A. (2012).“How to Visualize Large Data Sets?”. Presented at the Workshop Advances in Self-Organizing Maps (WSOM), Santiago, Chile.
PUB | DOI
 

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Zitationsstil: frontiers

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