55 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993714Visualizing and Improving 3D Mesh Segmentation with DeepViewPUB | DOI
Mazur A, Roberts J (I), Leins D, Schulz A, Hammer B (2024)
In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 649-654. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993852Noise Robust One-Class Intrusion Detection on Dynamic GraphsPUB | DOI
Liuliakov A, Schulz A, Hermes L, Hammer B (2024)
In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 363-368. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992441The SAME score: Improved cosine based measure for semantic biasPUB | DOI
Schroeder S, Schulz A, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Semantic Properties of Cosine Based Bias Scores for Word EmbeddingsPUB | DOI
Schroeder S, Schulz A, Hinder F, Hammer B (2024)
In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 160-168. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987573Predicting 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 NetworksPUB | DOI
Grimmelsmann N, Mechtenberg M, Vieth M, Schulz A, Hammer B, Schneider A (2024)
In: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 611-621. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2977923
Abundance, classification and genetic potential of Thaumarchaeota in metagenomes of European agricultural soils: a meta-analysisPUB | PDF | DOI | WoS | PubMed | Europe PMC
Nelkner J, Huang L, Lin TW, Schulz A, Osterholz B, Henke C, Blom J, Pühler A, Sczyrba A, Schlüter A (2023)
Environmental Microbiome 18(1): 26. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980429
Metric Learning with Self-Adjusting Memory for Explaining Feature DriftPUB | PDF | DOI
Kummert J, Schulz A, Hammer B (2023)
SN Computer Science 4(4): 376. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985684Generating Cardiovascular Data to Improve Training of Assistive Heart DevicesPUB | DOI
Kummert J, Schulz A, Feldhans R, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 1292-1297. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985683Data Augmentation for Cardiovascular Time Series Data Using WaveNetPUB | DOI
Feldhans R, Schulz A, Kummert J, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 836-841. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381So Can We Use Intrinsic Bias Measures or Not?PUB | DOI
Schroeder S, Schulz A, Kenneweg P, Hammer B (2023)
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: 2969382Debiasing Sentence Embedders Through Contrastive Word PairsPUB | DOI
Kenneweg P, Schroeder S, Schulz A, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 205-212. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969383"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality ReductionPUB | DOI | arXiv
Artelt A, Schulz A, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 27-38. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983250Extending Drift Detection Methods to Identify When Exactly the Change HappenedPUB | DOI
Vieth M, Schulz A, Hammer B (2023)
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. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455One-Class Intrusion Detection with Dynamic GraphsPUB | DOI
Liuliakov A, Schulz A, Hermes L, Hammer B (2023)
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: 2983457Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness EvaluationPUB | DOI
Schroeder S, Schulz A, Tarakanov I, Feldhans R, Hammer B (2023)
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. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in TransformersPUB | DOI
Kenneweg P, Schulz A, Schroeder S, Hammer B (2022)
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. -
2022 | Zeitschriftenaufsatz | PUB-ID: 2978998Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | arXiv
Paaßen B, Schulz A, C. Stewart T, Hammer B (2022)
IEEE Transactions on Neural Networks and Learning Systems 33(6): 2575–2585. -
2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964829BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based ModelsPUB | DOI | arXiv
Langnickel L, Schulz A, Hammer B, Fluck J (2022)
arXiv. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542 PUB | DOI | Download (ext.) | WoS | arXiv
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2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2956229Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC | arXiv
Paassen B, Schulz A, Stewart TC, Hammer B (2021)
IEEE Transactions on Neural Networks and Learning Systems: 1-11. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2952937
Efficient Reject Options for Particle Filter Object Tracking in Medical ApplicationsPUB | PDF | DOI | WoS | PubMed | Europe PMC
Kummert J, Schulz A, Redick T, Ayoub N, Modabber A, Abel D, Hammer B (2021)
Sensors 21(6): 2114. -
2020 | Konferenzbeitrag | PUB-ID: 2943260DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionPUB | DOI | Download (ext.) | arXiv
Schulz A, Hinder F, Hammer B (2020)
In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941931Reservoir memory machinesPUB | Download (ext.) | arXiv
Paaßen B, Schulz A (2020)
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: 2952742The composition of the human ribosome varies significantly in different normal and malignant tissuesPUB | DOI | WoS
Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, et al. (2020)
In: Proceedings: AACR Annual Meeting 2020. Cancer Research, 80(16_ Supplement). Philadelphia: Amer Assoc Cancer Research. -
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2944327Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.PUB | DOI | WoS | PubMed | Europe PMC
Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, et al. (2020)
Nucleic acids research. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer LearningPUB | PDF | DOI | WoS | PubMed | Europe PMC
Prahm C, Schulz A, Paaßen B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O (2019)
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27(5): 956-962. -
2018 | Konferenzbeitrag | PUB-ID: 2930001
Transfer Learning of Complex Motor Skills on the Humanoid Robot AffettoPUB | PDF
Schulz A, Queißer J, Ishihara H, Asada M (2018)
Presented at the International Conference on Development and Learning and on Epigenetic Robotics 2018 (ICDL-EPIROB2018), Tokyo (In Press). -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505Expectation maximization transfer learning and its application for bionic hand prosthesesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen B, Schulz A, Hahne J, Hammer B (2018)
Neurocomputing 298: 122-133. -
2018 | Konferenzbeitrag | PUB-ID: 2916318Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor ClassifierPUB | DOI
Berger K, Schulz A, Paaßen B, Hammer B (2018)
Presented at the SSCI CIDM 2017. -
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369
An EM transfer learning algorithm with applications in bionic hand prosthesesPUB | PDF
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. -
2017 | Bielefelder E-Dissertation | PUB-ID: 2914256
Discriminative dimensionality reduction: variations, applications, interpretationsPUB | PDF
Schulz A (2017)
Bielefeld: Universität Bielefeld. -
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372
Efficient Kernelization of Discriminative Dimensionality ReductionPUB | PDF | DOI | WoS
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing 268(SI): 34-41. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037
Echo State Networks as Novel Approach for Low-Cost Myoelectric ControlPUB | Dateien verfügbar | DOI
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. -
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909
Discriminative Dimensionality Reduction in Kernel SpacePUB | PDF
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. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855Linear Supervised Transfer Learning for Generalized Matrix LVQPUB | Download (ext.)
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. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode ShiftPUB | PDF | DOI | Download (ext.)
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. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047
Parametric nonlinear dimensionality reduction using kernel t-SNEPUB | PDF | DOI | WoS
Gisbrecht A, Schulz A, Hammer B (2015)
Neurocomputing 147: 71-82. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777
Inferring Feature Relevances From Metric LearningPUB | PDF | DOI
Schulz A, Mokbel B, Biehl M, Hammer B (2015)
In: 2015 IEEE Symposium Series on Computational Intelligence. Piscataway, NJ: IEEE. -
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303
Visualization of Regression Models Using Discriminative Dimensionality ReductionPUB | PDF | DOI
Schulz A, Hammer B (2015)
In: Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, 9257. Cham: Springer Science + Business Media: 437-449. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822
Using Discriminative Dimensionality Reduction to Visualize ClassifiersPUB | PDF | DOI | WoS
Schulz A, Gisbrecht A, Hammer B (2015)
Neural Processing Letters 42(1): 27-54. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325
Unsupervised Dimensionality Reduction for Transfer LearningPUB | PDF
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. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900319Discriminative dimensionality reduction for regression problems using the Fisher metricPUB | DOI
Schulz A, Hammer B (2015)
In: 2015 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical & Electronics Engineers (IEEE): 1-8. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369
Towards Dimensionality Reduction for Smart Home Sensor DataPUB | PDF | Download (ext.)
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. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318Metric Learning in Dimensionality ReductionPUB | DOI
Schulz A, Hammer B (2015)
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. Scitepress: 232-239. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320
Valid interpretation of feature relevance for linear data mappingsPUB | PDF | DOI
Frenay B, Hofmann D, Schulz A, Biehl M, Hammer B (2014)
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: 2900322Transfer Learning without given CorrespondencesPUB
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. -
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324Discriminative Dimensionality Reduction for the Visualization of ClassifiersPUB | DOI
Gisbrecht A, Schulz A, Hammer B (2014)
In: Pattern Recognition Applications and Methods. Advances in Intelligent Systems and Computing, 318. Cham: Springer Science + Business Media: 39-56. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557Relevance learning for dimensionality reductionPUB
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. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454Applications of discriminative dimensionality reductionPUB | DOI
Hammer B, Gisbrecht A, Schulz A (2013)
In: Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods. SCITEPRESS: 33-41. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456Using Nonlinear Dimensionality Reduction to Visualize ClassifiersPUB | DOI | WoS
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. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466Learning the Appropriate Model Population Structures for Locally Weighted RegressionPUB
Vukanovicz S, Schulz A, Haschke R, Ritter H (2013)
In: Workshop New Challenges in Neural Computation 2013. Machine Learning Reports, 2013(02). Bielefeld: Universität Bielefeld: 87. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467Classifier inspection based on different discriminative dimensionality reductionsPUB
Schulz A, Gisbrecht A, Hammer B (2013)
In: Workshop NC^2 2013. TR Machine Learning Reports: 77-86. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449How to visualize a classifier?PUB
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. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453How to Visualize Large Data Sets?PUB | DOI
Hammer B, Gisbrecht A, Schulz A (2012)
Presented at the Workshop Advances in Self-Organizing Maps (WSOM), Santiago, Chile.