26 Publications

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[26]
2018 | Journal Article | PUB-ID: 2914505
Expectation maximization transfer learning and its application for bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (In Press)
Neurocomputing.
PUB | arXiv
 
[25]
2017 | Conference Paper | PUB-ID: 2909369
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 | Bielefeld Dissertation | PUB-ID: 2914256 PUB | PDF
 
[23]
2017 | Conference Paper | PUB-ID: 2909037
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 | Files available | DOI
 
[22]
2017 | Journal Article | PUB-ID: 2909372
Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing accepted.
PUB | PDF | DOI
 
[21]
2016 | Conference Paper | 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
 
[20]
2016 | Conference Paper | PUB-ID: 2904909
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
 
[19]
2016 | Conference Paper | PUB-ID: 2904178
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
 
[18]
2015 | Conference Paper | PUB-ID: 2783369
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
 
[17]
2015 | Journal Article | PUB-ID: 2671047
Parametric nonlinear dimensionality reduction using kernel t-SNE
Gisbrecht A, Schulz A, Hammer B (2015)
Neurocomputing 147: 71-82.
PUB | PDF | DOI | WoS
 
[16]
2015 | Conference Paper | PUB-ID: 2903777
Inferring Feature Relevances From Metric Learning
Schulz A, Mokbel B, Biehl M, Hammer B (2015)
In: 2015 IEEE Symposium Series on Computational Intelligence. Institute of Electrical & Electronics Engineers (IEEE).
PUB | DOI
 
[15]
2015 | Book Chapter | PUB-ID: 2900303
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. Springer Science + Business Media: 437-449.
PUB | PDF | DOI
 
[14]
2015 | Journal Article | PUB-ID: 2766822
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
 
[13]
2015 | Conference Paper | 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
 
[12]
2015 | Conference Paper | 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
 
[11]
2015 | Conference Paper | PUB-ID: 2900325
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
 
[10]
2014 | Conference Paper | 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 | Conference Paper | 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 | Book Chapter | 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. Springer Science + Business Media: 39-56.
PUB | DOI
 
[7]
2014 | Conference Paper | 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 | Conference Paper | 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
 
[5]
2013 | Conference Paper | 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
 
[4]
2013 | Conference Paper | 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
 
[3]
2013 | Conference Paper | PUB-ID: 2622466
Learning the Appropriate Model Population Structures for Locally Weighted Regression
Vukanovicz S, Schulz A, Haschke R, Ritter H (2013)
In: Workshop NC^2 2013. TR Machine Learning Reports.
PUB
 
[2]
2012 | Conference Paper | 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 | Conference Paper | 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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26 Data Publications

Mark all

[26]
2018 | Journal Article | PUB-ID: 2914505
Expectation maximization transfer learning and its application for bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (In Press)
Neurocomputing.
PUB | arXiv
 
[25]
2017 | Conference Paper | PUB-ID: 2909369
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 | Bielefeld Dissertation | PUB-ID: 2914256 PUB | PDF
 
[23]
2017 | Conference Paper | PUB-ID: 2909037
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 | Files available | DOI
 
[22]
2017 | Journal Article | PUB-ID: 2909372
Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing accepted.
PUB | PDF | DOI
 
[21]
2016 | Conference Paper | 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
 
[20]
2016 | Conference Paper | PUB-ID: 2904909
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
 
[19]
2016 | Conference Paper | PUB-ID: 2904178
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
 
[18]
2015 | Conference Paper | PUB-ID: 2783369
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
 
[17]
2015 | Journal Article | PUB-ID: 2671047
Parametric nonlinear dimensionality reduction using kernel t-SNE
Gisbrecht A, Schulz A, Hammer B (2015)
Neurocomputing 147: 71-82.
PUB | PDF | DOI | WoS
 
[16]
2015 | Conference Paper | PUB-ID: 2903777
Inferring Feature Relevances From Metric Learning
Schulz A, Mokbel B, Biehl M, Hammer B (2015)
In: 2015 IEEE Symposium Series on Computational Intelligence. Institute of Electrical & Electronics Engineers (IEEE).
PUB | DOI
 
[15]
2015 | Book Chapter | PUB-ID: 2900303
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. Springer Science + Business Media: 437-449.
PUB | PDF | DOI
 
[14]
2015 | Journal Article | PUB-ID: 2766822
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
 
[13]
2015 | Conference Paper | 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
 
[12]
2015 | Conference Paper | 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
 
[11]
2015 | Conference Paper | PUB-ID: 2900325
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
 
[10]
2014 | Conference Paper | 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 | Conference Paper | 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 | Book Chapter | 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. Springer Science + Business Media: 39-56.
PUB | DOI
 
[7]
2014 | Conference Paper | 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 | Conference Paper | 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
 
[5]
2013 | Conference Paper | 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
 
[4]
2013 | Conference Paper | 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
 
[3]
2013 | Conference Paper | PUB-ID: 2622466
Learning the Appropriate Model Population Structures for Locally Weighted Regression
Vukanovicz S, Schulz A, Haschke R, Ritter H (2013)
In: Workshop NC^2 2013. TR Machine Learning Reports.
PUB
 
[2]
2012 | Conference Paper | 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 | Conference Paper | 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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