52 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987573Grimmelsmann N, Mechtenberg M, Vieth M, Schulz A, Hammer B, Schneider A (2024)PUB | DOI
Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural Networks.
In: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications: 611-621. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Schroeder S, Schulz A, Hinder F, Hammer B (2024)PUB | DOI
Semantic Properties of Cosine Based Bias Scores for Word Embeddings.
In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications: 160-168. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2977923Nelkner J, Huang L, Lin TW, Schulz A, Osterholz B, Henke C, Blom J, Pühler A, Sczyrba A, Schlüter A (2023)PUB | PDF | DOI | WoS | PubMed | Europe PMC
Abundance, classification and genetic potential of Thaumarchaeota in metagenomes of European agricultural soils: a meta-analysis.
Environmental Microbiome 18(1): 26. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985684Kummert J, Schulz A, Feldhans R, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)PUB | DOI
Generating Cardiovascular Data to Improve Training of Assistive Heart Devices.
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 1292-1297. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985683Feldhans R, Schulz A, Kummert J, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)PUB | DOI
Data Augmentation for Cardiovascular Time Series Data Using WaveNet.
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 836-841. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457Schroeder S, Schulz A, Tarakanov I, Feldhans R, Hammer B (2023)PUB | DOI
Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation.
In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science, Cham: Springer Nature Switzerland: 134-145. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455Liuliakov A, Schulz A, Hermes L, Hammer B (2023)PUB | DOI
One-Class Intrusion Detection with Dynamic Graphs.
In: Artificial Neural Networks and Machine Learning – ICANN 2023. 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part IV. Iliadis L, Papaleonidas A, Angelov P, Jayne C (Eds); Lecture Notes in Computer Science, Cham: Springer Nature Switzerland: 537-549. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983250Vieth M, Schulz A, Hammer B (2023)PUB | DOI
Extending Drift Detection Methods to Identify When Exactly the Change Happened.
In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science, Cham: Springer Nature Switzerland: 92-104. -
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969383Artelt A, Schulz A, Hammer B (2023)PUB | DOI | arXiv
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction.
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 27-38. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381Schroeder S, Schulz A, Kenneweg P, Hammer B (2023)PUB | DOI
So Can We Use Intrinsic Bias Measures or Not?
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 403-410. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382Kenneweg P, Schroeder S, Schulz A, Hammer B (2023)PUB | DOI
Debiasing Sentence Embedders Through Contrastive Word Pairs.
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 205-212. -
2022 | Zeitschriftenaufsatz | PUB-ID: 2978998Paaßen B, Schulz A, C. Stewart T, Hammer B (2022)PUB | DOI | Download (ext.) | arXiv
Reservoir Memory Machines as Neural Computers.
IEEE Transactions on Neural Networks and Learning Systems 33(6): 2575–2585. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096Kenneweg P, Schulz A, Schroeder S, Hammer B (2022)PUB | DOI
Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers.
In: Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 252-261. -
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542Paaßen B, Schulz A, Hammer B (2021)PUB | DOI | Download (ext.) | WoS | arXiv
Reservoir Stack Machines.
Neurocomputing 470: 352-364. -
2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2956229Paassen B, Schulz A, Stewart TC, Hammer B (2021)PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC | arXiv
Reservoir Memory Machines as Neural Computers.
IEEE Transactions on Neural Networks and Learning Systems: 1-11. -
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2020 | Konferenzbeitrag | PUB-ID: 2943260Schulz A, Hinder F, Hammer B (2020)PUB | DOI | Download (ext.) | arXiv
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction.
In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}. . -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941931Paaßen B, Schulz A (2020)PUB | Download (ext.) | arXiv
Reservoir memory machines.
In: Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020). Verleysen M (Ed); Bruges: i6doc: 567-572. -
2020 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2952742Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, Tamayo P, Bhanot G (2020)PUB | DOI | WoS
The composition of the human ribosome varies significantly in different normal and malignant tissues.
In: Proceedings: AACR Annual Meeting 2020. Cancer Research, 80. Philadelphia: Amer Assoc Cancer Research. -
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2944327Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, Tamayo P, Bhanot G (2020)PUB | DOI | WoS | PubMed | Europe PMC
Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.
Nucleic acids research. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458Prahm C, Schulz A, Paaßen B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O (2019)PUB | PDF | DOI | WoS | PubMed | Europe PMC
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning.
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27(5): 956-962. -
2018 | Konferenzbeitrag | PUB-ID: 2930001Schulz A, Queißer J, Ishihara H, Asada M (2018)PUB | PDF
Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto.
Presented at the International Conference on Development and Learning and on Epigenetic Robotics 2018 (ICDL-EPIROB2018), Tokyo (In Press). -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505Paaßen B, Schulz A, Hahne J, Hammer B (2018)PUB | DOI | Download (ext.) | WoS | arXiv
Expectation maximization transfer learning and its application for bionic hand prostheses.
Neurocomputing 298: 122-133. -
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2017 | Datenpublikation | PUB-ID: 2912671Paaßen B, Schulz A (2017)PUB | Dateien verfügbar | DOI
Linear Supervised Transfer Learning Toolbox.
Bielefeld University. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369Paaßen B, Schulz A, Hahne J, Hammer B (2017)PUB | PDF
An EM transfer learning algorithm with applications in bionic hand prostheses.
In: Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017). Verleysen M (Ed); Bruges: i6doc.com: 129-134. -
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)PUB | Dateien verfügbar | DOI
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control.
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. -
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909Schulz A, Hammer B (2016)PUB | PDF
Discriminative Dimensionality Reduction in Kernel Space.
In: ESANN2016 Proceedings. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium,27-29 April 2016. i6doc.com. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855Paaßen B, Schulz A, Hammer B (2016)PUB | Download (ext.)
Linear Supervised Transfer Learning for Generalized Matrix LVQ.
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports, 11-18. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178Prahm C, Paaßen B, Schulz A, Hammer B, Aszmann O (2016)PUB | PDF | DOI | Download (ext.)
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift.
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. -
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2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303Schulz A, Hammer B (2015)PUB | PDF | DOI
Visualization of Regression Models Using Discriminative Dimensionality Reduction.
In: Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, 9257. Cham: Springer Science + Business Media: 437-449. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325Blöbaum P, Schulz A, Hammer B (2015)PUB | PDF
Unsupervised Dimensionality Reduction for Transfer Learning.
In: Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco: 507-512. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900319Schulz A, Hammer B (2015)PUB | DOI
Discriminative dimensionality reduction for regression problems using the Fisher metric.
In: 2015 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical & Electronics Engineers (IEEE): 1-8. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369Mokbel B, Schulz A (2015)PUB | PDF | Download (ext.)
Towards Dimensionality Reduction for Smart Home Sensor Data.
In: Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015). Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports, 41-48. -
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320Frenay B, Hofmann D, Schulz A, Biehl M, Hammer B (2014)PUB | PDF | DOI
Valid interpretation of feature relevance for linear data mappings.
In: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). Piscataway, NJ: Institute of Electrical & Electronics Engineers (IEEE): 149-156. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557Schulz A, Gisbrecht A, Hammer B (2014)PUB
Relevance learning for dimensionality reduction.
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 165-170. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900322Bloebaum P, Schulz A (2014)PUB
Transfer Learning without given Correspondences.
In: Proceedings of the Workshop New Challenges in Neural Computation (NC² 2014). Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports, 42-51. -
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324Gisbrecht A, Schulz A, Hammer B (2014)PUB | DOI
Discriminative Dimensionality Reduction for the Visualization of Classifiers.
In: Pattern Recognition Applications and Methods. Advances in Intelligent Systems and Computing, 318. Cham: Springer Science + Business Media: 39-56. -
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456Schulz A, Gisbrecht A, Hammer B (2013)PUB | DOI | WoS
Using Nonlinear Dimensionality Reduction to Visualize Classifiers.
In: Advances in computational intelligence. Proceedings. Vol 1. Rojas I, Joya G, Gabestany J (Eds); Lecture Notes in Computer Science, 7902. Springer: 59-68. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466Vukanovicz S, Schulz A, Haschke R, Ritter H (2013)PUB
Learning the Appropriate Model Population Structures for Locally Weighted Regression.
In: Workshop New Challenges in Neural Computation 2013. Machine Learning Reports, 2013. Bielefeld: Universität Bielefeld: 87. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467Schulz A, Gisbrecht A, Hammer B (2013)PUB
Classifier inspection based on different discriminative dimensionality reductions.
In: Workshop NC^2 2013. TR Machine Learning Reports: 77-86. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449Schulz A, Gisbrecht A, Bunte K, Hammer B (2012)PUB
How to visualize a classifier?
In: Proceedings of the Workshop - New Challenges in Neural Computation 2012. Machine Learning Reports: 73-83. -