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, Anshuman, Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.. Nucleic acids research (). , 2020
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, Alexander, DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20} (). , 2020
PUB | DOI | Download (ext.)
 
[31]
2020 | Konferenzbeitrag | Im Druck | PUB-ID: 2941931
Reservoir memory machines
Paaßen, Benjamin, Reservoir memory machines. Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020) (). Bruges, 2020
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, Cosima, Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (5). , 2019
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, Benjamin, Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298 (). , 2018
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, Alexander, Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto. (). , 2018
PUB | PDF
 
[27]
2018 | Konferenzbeitrag | PUB-ID: 2916318
Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier
Berger, Kolja, Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier. (). , 2018
PUB | DOI
 
[26]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369 OA
An EM transfer learning algorithm with applications in bionic hand prostheses
Paaßen, Benjamin, An EM transfer learning algorithm with applications in bionic hand prostheses. Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017) (). Bruges, 2017
PUB | PDF
 
[25]
2017 | Datenpublikation | PUB-ID: 2912671 OA
Linear Supervised Transfer Learning Toolbox
Paaßen, Benjamin, Linear Supervised Transfer Learning Toolbox. (). , 2017
PUB | Dateien verfügbar | DOI
 
[24]
2017 | Bielefelder E-Dissertation | PUB-ID: 2914256 OA
Discriminative dimensionality reduction: variations, applications, interpretations
Schulz, Alexander, Discriminative dimensionality reduction: variations, applications, interpretations. (). Bielefeld, 2017
PUB | PDF
 
[23]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372 OA
Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz, Alexander, Efficient Kernelization of Discriminative Dimensionality Reduction. Neurocomputing 268 (SI). , 2017
PUB | PDF | DOI | WoS
 
[22]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037 OA
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
Prahm, Cosima, Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017) 10259 (). , 2017
PUB | Dateien verfügbar | DOI
 
[21]
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909 OA
Discriminative Dimensionality Reduction in Kernel Space
Schulz, Alexander, Discriminative Dimensionality Reduction in Kernel Space. ESANN2016 Proceedings. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium,27-29 April 2016 (). , 2016
PUB | PDF
 
[20]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855
Linear Supervised Transfer Learning for Generalized Matrix LVQ
Paaßen, Benjamin, Linear Supervised Transfer Learning for Generalized Matrix LVQ. Proceedings of the Workshop New Challenges in Neural Computation 2016 (4). , 2016
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, Cosima, Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift. Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016) (). , 2016
PUB | PDF | DOI | Download (ext.)
 
[18]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047 OA
Parametric nonlinear dimensionality reduction using kernel t-SNE
Gisbrecht, Andrej, Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing 147 (). , 2015
PUB | PDF | DOI | WoS
 
[17]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777 OA
Inferring Feature Relevances From Metric Learning
Schulz, Alexander, Inferring Feature Relevances From Metric Learning. 2015 IEEE Symposium Series on Computational Intelligence (). Piscataway, NJ, 2015
PUB | PDF | DOI
 
[16]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303 OA
Visualization of Regression Models Using Discriminative Dimensionality Reduction
Schulz, Alexander, Visualization of Regression Models Using Discriminative Dimensionality Reduction. Computer Analysis of Images and Patterns 9257 (). Cham, 2015
PUB | PDF | DOI
 
[15]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822 OA
Using Discriminative Dimensionality Reduction to Visualize Classifiers
Schulz, Alexander, Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Processing Letters 42 (1). , 2015
PUB | PDF | DOI | WoS
 
[14]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325 OA
Unsupervised Dimensionality Reduction for Transfer Learning
Blöbaum, Patrick, Unsupervised Dimensionality Reduction for Transfer Learning. Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Louvain-la-Neuve, 2015
PUB | PDF
 
[13]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900319
Discriminative dimensionality reduction for regression problems using the Fisher metric
Schulz, Alexander, Discriminative dimensionality reduction for regression problems using the Fisher metric. 2015 International Joint Conference on Neural Networks (IJCNN) (). , 2015
PUB | DOI
 
[12]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369 OA
Towards Dimensionality Reduction for Smart Home Sensor Data
Mokbel, Bassam, Towards Dimensionality Reduction for Smart Home Sensor Data. Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015) (3). , 2015
PUB | PDF | Download (ext.)
 
[11]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318
Metric Learning in Dimensionality Reduction
Schulz, Alexander, Metric Learning in Dimensionality Reduction. Proceedings of the International Conference on Pattern Recognition Applications and Methods (). , 2015
PUB | DOI
 
[10]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320
Valid interpretation of feature relevance for linear data mappings
Frenay, Benoit, Valid interpretation of feature relevance for linear data mappings. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (). , 2014
PUB | DOI
 
[9]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557
Relevance learning for dimensionality reduction
Schulz, Alexander, Relevance learning for dimensionality reduction. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014
PUB
 
[8]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900322
Transfer Learning without given Correspondences
Bloebaum, Patrick, Transfer Learning without given Correspondences. Proceedings of the Workshop New Challenges in Neural Computation (NC² 2014) (). , 2014
PUB
 
[7]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324
Discriminative Dimensionality Reduction for the Visualization of Classifiers
Gisbrecht, Andrej, Discriminative Dimensionality Reduction for the Visualization of Classifiers. Pattern Recognition Applications and Methods 318 (). Cham, 2014
PUB | DOI
 
[6]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454
Applications of discriminative dimensionality reduction
Hammer, Barbara, Applications of discriminative dimensionality reduction. Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (). , 2013
PUB | DOI
 
[5]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456
Using Nonlinear Dimensionality Reduction to Visualize Classifiers
Schulz, Alexander, Using Nonlinear Dimensionality Reduction to Visualize Classifiers. Advances in computational intelligence. Proceedings. Vol 1 7902 (). , 2013
PUB | DOI | WoS
 
[4]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466
Learning the Appropriate Model Population Structures for Locally Weighted Regression
Vukanovicz, Slobodan, Learning the Appropriate Model Population Structures for Locally Weighted Regression. Workshop New Challenges in Neural Computation 2013 2013 (02). Bielefeld, 2013
PUB
 
[3]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467
Classifier inspection based on different discriminative dimensionality reductions
Schulz, Alexander, Classifier inspection based on different discriminative dimensionality reductions. Workshop NC^2 2013 (). , 2013
PUB
 
[2]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449
How to visualize a classifier?
Schulz, Alexander, How to visualize a classifier?. Proceedings of the Workshop - New Challenges in Neural Computation 2012 (). , 2012
PUB
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453
How to Visualize Large Data Sets?
Hammer, Barbara, How to Visualize Large Data Sets?. (). , 2012
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, Anshuman, Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.. Nucleic acids research (). , 2020
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, Alexander, DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20} (). , 2020
PUB | DOI | Download (ext.)
 
[31]
2020 | Konferenzbeitrag | Im Druck | PUB-ID: 2941931
Reservoir memory machines
Paaßen, Benjamin, Reservoir memory machines. Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020) (). Bruges, 2020
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, Cosima, Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (5). , 2019
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, Benjamin, Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298 (). , 2018
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, Alexander, Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto. (). , 2018
PUB | PDF
 
[27]
2018 | Konferenzbeitrag | PUB-ID: 2916318
Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier
Berger, Kolja, Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier. (). , 2018
PUB | DOI
 
[26]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369 OA
An EM transfer learning algorithm with applications in bionic hand prostheses
Paaßen, Benjamin, An EM transfer learning algorithm with applications in bionic hand prostheses. Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017) (). Bruges, 2017
PUB | PDF
 
[25]
2017 | Datenpublikation | PUB-ID: 2912671 OA
Linear Supervised Transfer Learning Toolbox
Paaßen, Benjamin, Linear Supervised Transfer Learning Toolbox. (). , 2017
PUB | Dateien verfügbar | DOI
 
[24]
2017 | Bielefelder E-Dissertation | PUB-ID: 2914256 OA
Discriminative dimensionality reduction: variations, applications, interpretations
Schulz, Alexander, Discriminative dimensionality reduction: variations, applications, interpretations. (). Bielefeld, 2017
PUB | PDF
 
[23]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372 OA
Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz, Alexander, Efficient Kernelization of Discriminative Dimensionality Reduction. Neurocomputing 268 (SI). , 2017
PUB | PDF | DOI | WoS
 
[22]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037 OA
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
Prahm, Cosima, Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017) 10259 (). , 2017
PUB | Dateien verfügbar | DOI
 
[21]
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909 OA
Discriminative Dimensionality Reduction in Kernel Space
Schulz, Alexander, Discriminative Dimensionality Reduction in Kernel Space. ESANN2016 Proceedings. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium,27-29 April 2016 (). , 2016
PUB | PDF
 
[20]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855
Linear Supervised Transfer Learning for Generalized Matrix LVQ
Paaßen, Benjamin, Linear Supervised Transfer Learning for Generalized Matrix LVQ. Proceedings of the Workshop New Challenges in Neural Computation 2016 (4). , 2016
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, Cosima, Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift. Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016) (). , 2016
PUB | PDF | DOI | Download (ext.)
 
[18]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047 OA
Parametric nonlinear dimensionality reduction using kernel t-SNE
Gisbrecht, Andrej, Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing 147 (). , 2015
PUB | PDF | DOI | WoS
 
[17]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777 OA
Inferring Feature Relevances From Metric Learning
Schulz, Alexander, Inferring Feature Relevances From Metric Learning. 2015 IEEE Symposium Series on Computational Intelligence (). Piscataway, NJ, 2015
PUB | PDF | DOI
 
[16]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303 OA
Visualization of Regression Models Using Discriminative Dimensionality Reduction
Schulz, Alexander, Visualization of Regression Models Using Discriminative Dimensionality Reduction. Computer Analysis of Images and Patterns 9257 (). Cham, 2015
PUB | PDF | DOI
 
[15]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822 OA
Using Discriminative Dimensionality Reduction to Visualize Classifiers
Schulz, Alexander, Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Processing Letters 42 (1). , 2015
PUB | PDF | DOI | WoS
 
[14]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325 OA
Unsupervised Dimensionality Reduction for Transfer Learning
Blöbaum, Patrick, Unsupervised Dimensionality Reduction for Transfer Learning. Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Louvain-la-Neuve, 2015
PUB | PDF
 
[13]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900319
Discriminative dimensionality reduction for regression problems using the Fisher metric
Schulz, Alexander, Discriminative dimensionality reduction for regression problems using the Fisher metric. 2015 International Joint Conference on Neural Networks (IJCNN) (). , 2015
PUB | DOI
 
[12]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369 OA
Towards Dimensionality Reduction for Smart Home Sensor Data
Mokbel, Bassam, Towards Dimensionality Reduction for Smart Home Sensor Data. Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015) (3). , 2015
PUB | PDF | Download (ext.)
 
[11]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318
Metric Learning in Dimensionality Reduction
Schulz, Alexander, Metric Learning in Dimensionality Reduction. Proceedings of the International Conference on Pattern Recognition Applications and Methods (). , 2015
PUB | DOI
 
[10]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320
Valid interpretation of feature relevance for linear data mappings
Frenay, Benoit, Valid interpretation of feature relevance for linear data mappings. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (). , 2014
PUB | DOI
 
[9]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557
Relevance learning for dimensionality reduction
Schulz, Alexander, Relevance learning for dimensionality reduction. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014
PUB
 
[8]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900322
Transfer Learning without given Correspondences
Bloebaum, Patrick, Transfer Learning without given Correspondences. Proceedings of the Workshop New Challenges in Neural Computation (NC² 2014) (). , 2014
PUB
 
[7]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324
Discriminative Dimensionality Reduction for the Visualization of Classifiers
Gisbrecht, Andrej, Discriminative Dimensionality Reduction for the Visualization of Classifiers. Pattern Recognition Applications and Methods 318 (). Cham, 2014
PUB | DOI
 
[6]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454
Applications of discriminative dimensionality reduction
Hammer, Barbara, Applications of discriminative dimensionality reduction. Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (). , 2013
PUB | DOI
 
[5]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456
Using Nonlinear Dimensionality Reduction to Visualize Classifiers
Schulz, Alexander, Using Nonlinear Dimensionality Reduction to Visualize Classifiers. Advances in computational intelligence. Proceedings. Vol 1 7902 (). , 2013
PUB | DOI | WoS
 
[4]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466
Learning the Appropriate Model Population Structures for Locally Weighted Regression
Vukanovicz, Slobodan, Learning the Appropriate Model Population Structures for Locally Weighted Regression. Workshop New Challenges in Neural Computation 2013 2013 (02). Bielefeld, 2013
PUB
 
[3]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467
Classifier inspection based on different discriminative dimensionality reductions
Schulz, Alexander, Classifier inspection based on different discriminative dimensionality reductions. Workshop NC^2 2013 (). , 2013
PUB
 
[2]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449
How to visualize a classifier?
Schulz, Alexander, How to visualize a classifier?. Proceedings of the Workshop - New Challenges in Neural Computation 2012 (). , 2012
PUB
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453
How to Visualize Large Data Sets?
Hammer, Barbara, How to Visualize Large Data Sets?. (). , 2012
PUB | DOI
 

Suche

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Zitationsstil: default

Export / Einbettung