52 Publikationen
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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, Nils, 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. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (). , 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Semantic Properties of Cosine Based Bias Scores for Word EmbeddingsPUB | DOI
Schroeder, Sarah, Semantic Properties of Cosine Based Bias Scores for Word Embeddings. Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods (). , 2024 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2977923Abundance, classification and genetic potential of Thaumarchaeota in metagenomes of European agricultural soils: a meta-analysisPUB | PDF | DOI | WoS | PubMed | Europe PMC
Nelkner, Johanna, Abundance, classification and genetic potential of Thaumarchaeota in metagenomes of European agricultural soils: a meta-analysis. Environmental Microbiome 18 (1). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985684Generating Cardiovascular Data to Improve Training of Assistive Heart DevicesPUB | DOI
Kummert, Johannes, Generating Cardiovascular Data to Improve Training of Assistive Heart Devices. 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985683Data Augmentation for Cardiovascular Time Series Data Using WaveNetPUB | DOI
Feldhans, Robert, Data Augmentation for Cardiovascular Time Series Data Using WaveNet. 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (). , 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness EvaluationPUB | DOI
Schroeder, Sarah, Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I (). Cham, 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455One-Class Intrusion Detection with Dynamic GraphsPUB | DOI
Liuliakov, Aleksei, One-Class Intrusion Detection with Dynamic Graphs. 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 (). Cham, 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983250Extending Drift Detection Methods to Identify When Exactly the Change HappenedPUB | DOI
Vieth, Markus, Extending Drift Detection Methods to Identify When Exactly the Change Happened. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I (). Cham, 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980429Metric Learning with Self-Adjusting Memory for Explaining Feature DriftPUB | DOI
Kummert, Johannes, Metric Learning with Self-Adjusting Memory for Explaining Feature Drift. SN Computer Science 4 (4). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969383"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality ReductionPUB | DOI | arXiv
Artelt, André, "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (). Setúbal, Portugal, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381So Can We Use Intrinsic Bias Measures or Not?PUB | DOI
Schroeder, Sarah, So Can We Use Intrinsic Bias Measures or Not?. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (). Setúbal, Portugal, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382Debiasing Sentence Embedders Through Contrastive Word PairsPUB | DOI
Kenneweg, Philip, Debiasing Sentence Embedders Through Contrastive Word Pairs. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (). Setúbal, Portugal, 2023 -
2022 | Zeitschriftenaufsatz | PUB-ID: 2978998Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | arXiv
Paaßen, Benjamin, Reservoir Memory Machines as Neural Computers. IEEE Transactions on Neural Networks and Learning Systems 33 (6). , 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in TransformersPUB | DOI
Kenneweg, Philip, Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings 13756 (). Cham, 2022 -
2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964829BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based ModelsPUB | DOI | arXiv
Langnickel, Lisa, BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based Models. arXiv (). , 2022 -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542Reservoir Stack MachinesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen, Benjamin, Reservoir Stack Machines. Neurocomputing 470 (). , 2021 -
2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2956229Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC | arXiv
Paassen, Benjamin, Reservoir Memory Machines as Neural Computers. IEEE Transactions on Neural Networks and Learning Systems (). , 2021 -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2952937Efficient Reject Options for Particle Filter Object Tracking in Medical ApplicationsPUB | PDF | DOI | WoS | PubMed | Europe PMC
Kummert, Johannes, Efficient Reject Options for Particle Filter Object Tracking in Medical Applications. Sensors 21 (6). , 2021 -
2020 | Konferenzbeitrag | PUB-ID: 2943260DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionPUB | DOI | Download (ext.) | arXiv
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 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941931Reservoir memory machinesPUB | Download (ext.) | arXiv
Paaßen, Benjamin, Reservoir memory machines. Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020) (). Bruges, 2020 -
2020 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2952742The composition of the human ribosome varies significantly in different normal and malignant tissuesPUB | DOI | WoS
Panda, Anshuman, The composition of the human ribosome varies significantly in different normal and malignant tissues. Proceedings: AACR Annual Meeting 2020 80 (16_ Supplement). Philadelphia, 2020 -
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, Anshuman, Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.. Nucleic acids research (). , 2020 -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer LearningPUB | PDF | DOI | WoS | PubMed | Europe PMC
Prahm, Cosima, Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (5). , 2019 -
2018 | Konferenzbeitrag | PUB-ID: 2930001Transfer Learning of Complex Motor Skills on the Humanoid Robot AffettoPUB | PDF
Schulz, Alexander, Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto. (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505Expectation maximization transfer learning and its application for bionic hand prosthesesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen, Benjamin, Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298 (). , 2018 -
2018 | Konferenzbeitrag | PUB-ID: 2916318Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor ClassifierPUB | DOI
Berger, Kolja, Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier. (). , 2018 -
2017 | Datenpublikation | PUB-ID: 2912671Linear Supervised Transfer Learning ToolboxPUB | Dateien verfügbar | DOI
Paaßen, Benjamin, Linear Supervised Transfer Learning Toolbox. (). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369An EM transfer learning algorithm with applications in bionic hand prosthesesPUB | PDF
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 -
2017 | Bielefelder E-Dissertation | PUB-ID: 2914256Discriminative dimensionality reduction: variations, applications, interpretationsPUB | PDF
Schulz, Alexander, Discriminative dimensionality reduction: variations, applications, interpretations. (). Bielefeld, 2017 -
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372Efficient Kernelization of Discriminative Dimensionality ReductionPUB | PDF | DOI | WoS
Schulz, Alexander, Efficient Kernelization of Discriminative Dimensionality Reduction. Neurocomputing 268 (SI). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037Echo State Networks as Novel Approach for Low-Cost Myoelectric ControlPUB | Dateien verfügbar | DOI
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 -
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909Discriminative Dimensionality Reduction in Kernel SpacePUB | PDF
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 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855Linear Supervised Transfer Learning for Generalized Matrix LVQPUB | Download (ext.)
Paaßen, Benjamin, Linear Supervised Transfer Learning for Generalized Matrix LVQ. Proceedings of the Workshop New Challenges in Neural Computation 2016 (4). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode ShiftPUB | PDF | DOI | Download (ext.)
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 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047Parametric nonlinear dimensionality reduction using kernel t-SNEPUB | PDF | DOI | WoS
Gisbrecht, Andrej, Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing 147 (). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777Inferring Feature Relevances From Metric LearningPUB | PDF | DOI
Schulz, Alexander, Inferring Feature Relevances From Metric Learning. 2015 IEEE Symposium Series on Computational Intelligence (). Piscataway, NJ, 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822Using Discriminative Dimensionality Reduction to Visualize ClassifiersPUB | PDF | DOI | WoS
Schulz, Alexander, Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Processing Letters 42 (1). , 2015 -
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303Visualization of Regression Models Using Discriminative Dimensionality ReductionPUB | PDF | DOI
Schulz, Alexander, Visualization of Regression Models Using Discriminative Dimensionality Reduction. Computer Analysis of Images and Patterns 9257 (). Cham, 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325Unsupervised Dimensionality Reduction for Transfer LearningPUB | PDF
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 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900319Discriminative dimensionality reduction for regression problems using the Fisher metricPUB | DOI
Schulz, Alexander, Discriminative dimensionality reduction for regression problems using the Fisher metric. 2015 International Joint Conference on Neural Networks (IJCNN) (). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369Towards Dimensionality Reduction for Smart Home Sensor DataPUB | PDF | Download (ext.)
Mokbel, Bassam, Towards Dimensionality Reduction for Smart Home Sensor Data. Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015) (3). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318Metric Learning in Dimensionality ReductionPUB | DOI
Schulz, Alexander, Metric Learning in Dimensionality Reduction. Proceedings of the International Conference on Pattern Recognition Applications and Methods (). , 2015 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320Valid interpretation of feature relevance for linear data mappingsPUB | PDF | DOI
Frenay, Benoit, Valid interpretation of feature relevance for linear data mappings. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (). Piscataway, NJ, 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557Relevance learning for dimensionality reductionPUB
Schulz, Alexander, Relevance learning for dimensionality reduction. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900322Transfer Learning without given CorrespondencesPUB
Bloebaum, Patrick, Transfer Learning without given Correspondences. Proceedings of the Workshop New Challenges in Neural Computation (NC² 2014) (). , 2014 -
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324Discriminative Dimensionality Reduction for the Visualization of ClassifiersPUB | DOI
Gisbrecht, Andrej, Discriminative Dimensionality Reduction for the Visualization of Classifiers. Pattern Recognition Applications and Methods 318 (). Cham, 2014 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454Applications of discriminative dimensionality reductionPUB | DOI
Hammer, Barbara, Applications of discriminative dimensionality reduction. Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (). , 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456Using Nonlinear Dimensionality Reduction to Visualize ClassifiersPUB | DOI | WoS
Schulz, Alexander, Using Nonlinear Dimensionality Reduction to Visualize Classifiers. Advances in computational intelligence. Proceedings. Vol 1 7902 (). , 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466Learning the Appropriate Model Population Structures for Locally Weighted RegressionPUB
Vukanovicz, Slobodan, Learning the Appropriate Model Population Structures for Locally Weighted Regression. Workshop New Challenges in Neural Computation 2013 2013 (02). Bielefeld, 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467Classifier inspection based on different discriminative dimensionality reductionsPUB
Schulz, Alexander, Classifier inspection based on different discriminative dimensionality reductions. Workshop NC^2 2013 (). , 2013 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449How to visualize a classifier?PUB
Schulz, Alexander, How to visualize a classifier?. Proceedings of the Workshop - New Challenges in Neural Computation 2012 (). , 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453How to Visualize Large Data Sets?PUB | DOI
Hammer, Barbara, How to Visualize Large Data Sets?. (). , 2012