Alexander Schulz

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Citations	699	552
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Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Benjamin PaassenBielefeld UniversityVerified email at techfak.uni-bielefeld.de
Fabian HinderPhD student, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Sarah SchröderPhD Student, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Michael BiehlUniversity of Groningen, Bernoulli InstituteVerified email at rug.nl
Aszmann OskarProfessor of Plastic Surgery, Medical University of ViennaVerified email at meduniwien.ac.at
Cosima PrahmChristian Doppler Laboratory for Restoration of Extremity Function, Medical University of ViennaVerified email at meduniwien.ac.at
Janne M. HahneUniversity Medical Center, Georg-August University GoettingenVerified email at bccn.uni-goettingen.de
Georg DorffnerAssociate Professor, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of ViennaVerified email at meduniwien.ac.at
Bassam MokbelCITEC, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Frénay BenoîtFaculty of Computer Science, Université de NamurVerified email at unamur.be
Patrick BlöbaumAmazon (AWS)Verified email at amazon.com
Kerstin BunteRosalind Franklin Fellow at the University of GroningenVerified email at rug.nl
Johannes BrinkrolfBielefeld UniversityVerified email at techfak.uni-bielefeld.de
André ArteltBielefeld UniversityVerified email at techfak.uni-bielefeld.de
Jeffrey F. QueißerCognitive Neurorobotics Research Unit, Okinawa Institute of Science and Technology GraduateVerified email at oist.jp
M AsadaProfessor of Osaka UniversityVerified email at ams.eng.osaka-u.ac.jp

Alexander Schulz

Technical Faculty, CITEC, Bielefeld University

Verified email at techfak.uni-bielefeld.de - Homepage

Machine Learning Myoelectric Control Dimensionality Reduction Model Interpretability


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Parametric nonlinear dimensionality reduction using kernel t-SNE A Gisbrecht, A Schulz, B Hammer Neurocomputing, 2015	292	2015
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	56	2019
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	51*	2017
Deepview: Visualizing classification boundaries of deep neural networks as scatter plots using discriminative dimensionality reduction A Schulz, F Hinder, B Hammer (IJCAI 2020) Proceedings of the Twenty-Ninth International Conference on …, 2019	37	2019
Expectation maximization transfer learning and its application for bionic hand prostheses B Paaßen, A Schulz, J Hahne, B Hammer Neurocomputing 298, 122-133, 2018	36	2018
Using discriminative dimensionality reduction to visualize classifiers A Schulz, A Gisbrecht, B Hammer Neural Processing Letters 42 (1), 27-54, 2015	36	2015
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 48 (13), 7079-7098, 2020	23	2020
Using nonlinear dimensionality reduction to visualize classifiers. volume 7902 of IWANN (1) A Schulz, A Gisbrecht, B Hammer Springer, 2013	17	2013
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	16	2014
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	14	2016
Evaluating metrics for bias in word embeddings S Schröder, A Schulz, P Kenneweg, R Feldhans, F Hinder, B Hammer arXiv preprint arXiv:2111.07864, 2021	13	2021
Inferring feature relevances from metric learning A Schulz, B Mokbel, M Biehl, B Hammer Computational Intelligence, 2015 IEEE Symposium Series on, 2015	12	2015
How to Visualize Large Data Sets? B Hammer, A Gisbrecht, A Schulz Advances in Self-Organizing Maps, 2013	11	2013
Abundance, classification and genetic potential of Thaumarchaeota in metagenomes of European agricultural soils: a meta-analysis J Nelkner, L Huang, TW Lin, A Schulz, B Osterholz, C Henke, J Blom, ... Environmental Microbiome 18 (1), 26, 2023	9	2023
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	6	2017
Reservoir memory machines as neural computers B Paaßen, A Schulz, TC Stewart, B Hammer IEEE Transactions on Neural Networks and Learning Systems, 2021	5	2021
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	5	2017
Unsupervised Dimensionality Reduction for Transfer Learning P Blöbaum, A Schulz, B Hammer Proceedings. 23rd European Symposium on Artificial Neural Networks …, 2015	5	2015
How to visualize a classifier A Schulz, A Gisbrecht, K Bunte, B Hammer New Challenges in Neural Computation, 2012	5	2012
Reservoir memory machines B Paaßen, A Schulz arXiv preprint arXiv:2003.04793, 2020	4	2020

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