| Parametric nonlinear dimensionality reduction using kernel t-SNE A Gisbrecht, A Schulz, B Hammer Neurocomputing, 2015 | 113 | 2015 |
| Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis After Electrode Shift Cosima Prahm, B Paassen, A Schulz, B Hammer, O Aszmann Converging Clinical and Engineering Research on Neurorehabilitation II, 153-157, 2017 | 25 | 2017 |
| Using discriminative dimensionality reduction to visualize classifiers A Schulz, A Gisbrecht, B Hammer Neural Processing Letters 42 (1), 27-54, 2015 | 20 | 2015 |
| Expectation maximization transfer learning and its application for bionic hand prostheses B Paaßen, A Schulz, J Hahne, B Hammer Neurocomputing 298, 122-133, 2018 | 16 | 2018 |
| Linear Supervised Transfer Learning for Generalized Matrix LVQ B Paaßen, A Schulz, B Hammer Proceedings of the Workshop New Challenges in Neural Computation 2016, 2016 | 9 | 2016 |
| Valid interpretation of feature relevance for linear data mappings B Fránay, D Hofmann, A Schulz, M Biehl, B Hammer Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on, 2014 | 9 | 2014 |
| How to Visualize Large Data Sets? B Hammer, A Gisbrecht, A Schulz Advances in Self-Organizing Maps, 2013 | 9 | 2013 |
| Counteracting electrode shifts in upper-limb prosthesis control via transfer learning C Prahm, A Schulz, B Paaßen, J Schoisswohl, E Kaniusas, G Dorffner, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (5 …, 2019 | 6 | 2019 |
| Inferring feature relevances from metric learning A Schulz, B Mokbel, M Biehl, B Hammer Computational Intelligence, 2015 IEEE Symposium Series on, 2015 | 6 | 2015 |
| Efficient kernelisation of discriminative dimensionality reduction A Schulz, J Brinkrolf, B Hammer Neurocomputing 268, 34-41, 2017 | 4 | 2017 |
| An EM transfer learning algorithm with applications in bionic hand prostheses B Paaßen, A Schulz, J Hahne, B Hammer Proceedings of the 25th european symposium on artificial neural networks …, 2017 | 4 | 2017 |
| Unsupervised Dimensionality Reduction for Transfer Learning P Blöbaum, A Schulz, B Hammer Proceedings. 23rd European Symposium on Artificial Neural Networks …, 2015 | 4 | 2015 |
| How to visualize a classifier A Schulz, A Gisbrecht, K Bunte, B Hammer New Challenges in Neural Computation, 2012 | 4 | 2012 |
| Echo state networks as novel approach for low-cost myoelectric control C Prahm, A Schulz, B Paaßen, O Aszmann, B Hammer, G Dorffner Conference on Artificial Intelligence in Medicine in Europe, 338-342, 2017 | 3 | 2017 |
| Using Nonlinear Dimensionality Reduction to Visualize Classifiers A Schulz, A Gisbrecht, B Hammer | 3 | 2013 |
| Tissue-and development-stage–specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples A Panda, A Yadav, H Yeerna, A Singh, M Biehl, M Lux, A Schulz, T Klecha, ... Nucleic Acids Research, 2020 | 2 | 2020 |
| Reservoir memory machines B Paaßen, A Schulz arXiv preprint arXiv:2003.04793, 2020 | 2 | 2020 |
| Discriminative dimensionality reduction for regression problems using the fisher metric A Schulz, B Hammer Neural Networks (IJCNN), 2015 International Joint Conference on, 2015 | 2 | 2015 |
| Relevance Learning for Dimensionality Reduction. A Schulz, A Gisbrecht, B Hammer ESANN, 2014 | 2 | 2014 |
| Applications of discriminative dimensionality reduction B Hammer, A Gisbrecht, A Schulz Proceedings of the 2nd International Conference on Pattern Recognition …, 2013 | 2 | 2013 |
Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
