33 Publikationen

Alle markieren

[33]
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2944327
Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.
Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, et al. (2020)
Nucleic acids research.
PUB | DOI | PubMed | Europe PMC
 
[32]
2020 | Konferenzbeitrag | PUB-ID: 2943260
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction
Schulz A, Hinder F, Hammer B (2020)
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
Reservoir memory machines
Paaßen B, Schulz A (In Press)
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
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning
Prahm C, Schulz A, Paaßen B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O (2019)
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27(5): 956-962.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[29]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505
Expectation maximization transfer learning and its application for bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (2018)
Neurocomputing 298: 122-133.
PUB | DOI | Download (ext.) | WoS | arXiv
 
[28]
2018 | Konferenzbeitrag | PUB-ID: 2930001 OA
Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto
Schulz A, Queißer J, Ishihara H, Asada M (2018)
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
Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier
Berger K, Schulz A, Paaßen B, Hammer B (2018)
Presented at the SSCI CIDM 2017.
PUB | DOI
 
[26]
2017 | Datenpublikation | PUB-ID: 2912671 OA
Linear Supervised Transfer Learning Toolbox
Paaßen B, Schulz A (2017)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[25]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369 OA
An EM transfer learning algorithm with applications in bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (2017)
In: Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017). Verleysen M (Ed); Bruges: i6doc.com: 129-134.
PUB | PDF
 
[24]
2017 | Bielefelder E-Dissertation | PUB-ID: 2914256 OA PUB | PDF
 
[23]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372 OA
Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing 268(SI): 34-41.
PUB | PDF | DOI | WoS
 
[22]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037 OA
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)
In: Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017). ten Telje A, Popow C, Holmes JH, Sacchi L (Eds); Lecture Notes in Computer Science, 10259. Springer: 338--342.
PUB | Dateien verfügbar | DOI
 
[21]
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909 OA
Discriminative Dimensionality Reduction in Kernel Space
Schulz A, Hammer B (2016)
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
Linear Supervised Transfer Learning for Generalized Matrix LVQ
Paaßen B, Schulz A, Hammer B (2016)
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports(4). 11-18.
PUB | Download (ext.)
 
[19]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178 OA
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift
Prahm C, Paaßen B, Schulz A, Hammer B, Aszmann O (2016)
In: Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016). Ibáñez J, Gonzáles-Vargas J, Azorín JM, Akay M, Pons JL (Eds); Springer: 153--157.
PUB | PDF | DOI | Download (ext.)
 
[18]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047 OA
Parametric nonlinear dimensionality reduction using kernel t-SNE
Gisbrecht A, Schulz A, Hammer B (2015)
Neurocomputing 147: 71-82.
PUB | PDF | DOI | WoS
 
[17]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777 OA
Inferring Feature Relevances From Metric Learning
Schulz A, Mokbel B, Biehl M, Hammer B (2015)
In: 2015 IEEE Symposium Series on Computational Intelligence. Piscataway, NJ: IEEE.
PUB | PDF | DOI
 
[16]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822 OA
Using Discriminative Dimensionality Reduction to Visualize Classifiers
Schulz A, Gisbrecht A, Hammer B (2015)
Neural Processing Letters 42(1): 27-54.
PUB | PDF | DOI | WoS
 
[15]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303 OA
Visualization of Regression Models Using Discriminative Dimensionality Reduction
Schulz A, Hammer B (2015)
In: Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, 9257. Cham: Springer Science + Business Media: 437-449.
PUB | PDF | DOI
 
[14]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325 OA
Unsupervised Dimensionality Reduction for Transfer Learning
Blöbaum P, Schulz A, Hammer B (2015)
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
Discriminative dimensionality reduction for regression problems using the Fisher metric
Schulz A, Hammer B (2015)
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
Towards Dimensionality Reduction for Smart Home Sensor Data
Mokbel B, Schulz A (2015)
In: Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015). Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports(3). 41-48.
PUB | PDF | Download (ext.)
 
[11]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318
Metric Learning in Dimensionality Reduction
Schulz A, Hammer B (2015)
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. Scitepress: 232-239.
PUB | DOI
 
[10]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320
Valid interpretation of feature relevance for linear data mappings
Frenay B, Hofmann D, Schulz A, Biehl M, Hammer B (2014)
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: 2900322
Transfer Learning without given Correspondences
Bloebaum P, Schulz A (2014)
In: Proceedings of the Workshop New Challenges in Neural Computation (NC² 2014). Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports. 42-51.
PUB
 
[8]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324
Discriminative Dimensionality Reduction for the Visualization of Classifiers
Gisbrecht A, Schulz A, Hammer B (2014)
In: Pattern Recognition Applications and Methods. Advances in Intelligent Systems and Computing, 318. Cham: Springer Science + Business Media: 39-56.
PUB | DOI
 
[7]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557
Relevance learning for dimensionality reduction
Schulz A, Gisbrecht A, Hammer B (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 165-170.
PUB
 
[6]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454
Applications of discriminative dimensionality reduction
Hammer B, Gisbrecht A, Schulz A (2013)
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
Using Nonlinear Dimensionality Reduction to Visualize Classifiers
Schulz A, Gisbrecht A, Hammer B (2013)
In: Advances in computational intelligence. Proceedings. Vol 1. Rojas I, Joya G, Gabestany J (Eds); Lecture Notes in Computer Science, 7902. Springer: 59-68.
PUB | DOI | WoS
 
[4]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466
Learning the Appropriate Model Population Structures for Locally Weighted Regression
Vukanovicz S, Schulz A, Haschke R, Ritter H (2013)
In: Workshop New Challenges in Neural Computation 2013. Machine Learning Reports, 2013(02). Bielefeld: Universität Bielefeld: 87.
PUB
 
[3]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467
Classifier inspection based on different discriminative dimensionality reductions
Schulz A, Gisbrecht A, Hammer B (2013)
In: Workshop NC^2 2013. TR Machine Learning Reports: 77-86.
PUB
 
[2]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449
How to visualize a classifier?
Schulz A, Gisbrecht A, Bunte K, Hammer B (2012)
In: Proceedings of the Workshop - New Challenges in Neural Computation 2012. Machine Learning Reports: 73-83.
PUB
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453
How to Visualize Large Data Sets?
Hammer B, Gisbrecht A, Schulz A (2012)
Presented at the Workshop Advances in Self-Organizing Maps (WSOM), Santiago, Chile.
PUB | DOI
 

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33 Publikationen

Alle markieren

[33]
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2944327
Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.
Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, et al. (2020)
Nucleic acids research.
PUB | DOI | PubMed | Europe PMC
 
[32]
2020 | Konferenzbeitrag | PUB-ID: 2943260
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction
Schulz A, Hinder F, Hammer B (2020)
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
Reservoir memory machines
Paaßen B, Schulz A (In Press)
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
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning
Prahm C, Schulz A, Paaßen B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O (2019)
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27(5): 956-962.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[29]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505
Expectation maximization transfer learning and its application for bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (2018)
Neurocomputing 298: 122-133.
PUB | DOI | Download (ext.) | WoS | arXiv
 
[28]
2018 | Konferenzbeitrag | PUB-ID: 2930001 OA
Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto
Schulz A, Queißer J, Ishihara H, Asada M (2018)
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
Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier
Berger K, Schulz A, Paaßen B, Hammer B (2018)
Presented at the SSCI CIDM 2017.
PUB | DOI
 
[26]
2017 | Datenpublikation | PUB-ID: 2912671 OA
Linear Supervised Transfer Learning Toolbox
Paaßen B, Schulz A (2017)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[25]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369 OA
An EM transfer learning algorithm with applications in bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (2017)
In: Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017). Verleysen M (Ed); Bruges: i6doc.com: 129-134.
PUB | PDF
 
[24]
2017 | Bielefelder E-Dissertation | PUB-ID: 2914256 OA PUB | PDF
 
[23]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372 OA
Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing 268(SI): 34-41.
PUB | PDF | DOI | WoS
 
[22]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037 OA
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)
In: Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017). ten Telje A, Popow C, Holmes JH, Sacchi L (Eds); Lecture Notes in Computer Science, 10259. Springer: 338--342.
PUB | Dateien verfügbar | DOI
 
[21]
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909 OA
Discriminative Dimensionality Reduction in Kernel Space
Schulz A, Hammer B (2016)
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
Linear Supervised Transfer Learning for Generalized Matrix LVQ
Paaßen B, Schulz A, Hammer B (2016)
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports(4). 11-18.
PUB | Download (ext.)
 
[19]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178 OA
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift
Prahm C, Paaßen B, Schulz A, Hammer B, Aszmann O (2016)
In: Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016). Ibáñez J, Gonzáles-Vargas J, Azorín JM, Akay M, Pons JL (Eds); Springer: 153--157.
PUB | PDF | DOI | Download (ext.)
 
[18]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047 OA
Parametric nonlinear dimensionality reduction using kernel t-SNE
Gisbrecht A, Schulz A, Hammer B (2015)
Neurocomputing 147: 71-82.
PUB | PDF | DOI | WoS
 
[17]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777 OA
Inferring Feature Relevances From Metric Learning
Schulz A, Mokbel B, Biehl M, Hammer B (2015)
In: 2015 IEEE Symposium Series on Computational Intelligence. Piscataway, NJ: IEEE.
PUB | PDF | DOI
 
[16]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822 OA
Using Discriminative Dimensionality Reduction to Visualize Classifiers
Schulz A, Gisbrecht A, Hammer B (2015)
Neural Processing Letters 42(1): 27-54.
PUB | PDF | DOI | WoS
 
[15]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303 OA
Visualization of Regression Models Using Discriminative Dimensionality Reduction
Schulz A, Hammer B (2015)
In: Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, 9257. Cham: Springer Science + Business Media: 437-449.
PUB | PDF | DOI
 
[14]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325 OA
Unsupervised Dimensionality Reduction for Transfer Learning
Blöbaum P, Schulz A, Hammer B (2015)
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
Discriminative dimensionality reduction for regression problems using the Fisher metric
Schulz A, Hammer B (2015)
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
Towards Dimensionality Reduction for Smart Home Sensor Data
Mokbel B, Schulz A (2015)
In: Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015). Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports(3). 41-48.
PUB | PDF | Download (ext.)
 
[11]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318
Metric Learning in Dimensionality Reduction
Schulz A, Hammer B (2015)
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. Scitepress: 232-239.
PUB | DOI
 
[10]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320
Valid interpretation of feature relevance for linear data mappings
Frenay B, Hofmann D, Schulz A, Biehl M, Hammer B (2014)
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: 2900322
Transfer Learning without given Correspondences
Bloebaum P, Schulz A (2014)
In: Proceedings of the Workshop New Challenges in Neural Computation (NC² 2014). Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports. 42-51.
PUB
 
[8]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324
Discriminative Dimensionality Reduction for the Visualization of Classifiers
Gisbrecht A, Schulz A, Hammer B (2014)
In: Pattern Recognition Applications and Methods. Advances in Intelligent Systems and Computing, 318. Cham: Springer Science + Business Media: 39-56.
PUB | DOI
 
[7]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557
Relevance learning for dimensionality reduction
Schulz A, Gisbrecht A, Hammer B (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 165-170.
PUB
 
[6]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454
Applications of discriminative dimensionality reduction
Hammer B, Gisbrecht A, Schulz A (2013)
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
Using Nonlinear Dimensionality Reduction to Visualize Classifiers
Schulz A, Gisbrecht A, Hammer B (2013)
In: Advances in computational intelligence. Proceedings. Vol 1. Rojas I, Joya G, Gabestany J (Eds); Lecture Notes in Computer Science, 7902. Springer: 59-68.
PUB | DOI | WoS
 
[4]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466
Learning the Appropriate Model Population Structures for Locally Weighted Regression
Vukanovicz S, Schulz A, Haschke R, Ritter H (2013)
In: Workshop New Challenges in Neural Computation 2013. Machine Learning Reports, 2013(02). Bielefeld: Universität Bielefeld: 87.
PUB
 
[3]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467
Classifier inspection based on different discriminative dimensionality reductions
Schulz A, Gisbrecht A, Hammer B (2013)
In: Workshop NC^2 2013. TR Machine Learning Reports: 77-86.
PUB
 
[2]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449
How to visualize a classifier?
Schulz A, Gisbrecht A, Bunte K, Hammer B (2012)
In: Proceedings of the Workshop - New Challenges in Neural Computation 2012. Machine Learning Reports: 73-83.
PUB
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453
How to Visualize Large Data Sets?
Hammer B, Gisbrecht A, Schulz A (2012)
Presented at the Workshop Advances in Self-Organizing Maps (WSOM), Santiago, Chile.
PUB | DOI
 

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