Marika Kaden
Orcid: 0000-0002-2849-3463Affiliations:
- University of Applied Sciences Mittweida, Mittweida, Germany
According to our database1,
Marika Kaden
authored at least 73 papers
between 2011 and 2024.
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Bibliography
2024
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data.
Neurocomputing, October, 2023
Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-Transformation.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Neural Comput. Appl., 2022
Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences.
Neural Comput. Appl., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Trustworthiness and Confidence of Gait Phase Predictions in Changing Environments Using Interpretable Classifier Models.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
AI-Based Multi Sensor Fusion for Smart Decision Making: A Bi-Functional System for Single Sensor Evaluation in a Classification Task.
Sensors, 2021
The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers.
Entropy, 2021
Sensors data fusion for smart decisions making: A novel bi-functional system for the evaluation of sensors contribution in classification problems.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
Possibilistic Classification Learning Based on Contrastive Loss in Learning Vector Quantizer Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
The LVQ-based Counter Propagation Network - an Interpretable Information Bottleneck Approach.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Neural Comput. Appl., 2020
Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability.
Neurocomputing, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison.
CoRR, 2019
Application of an interpretable classification model on Early Folding Residues during protein folding.
BioData Min., 2019
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
Searching for the Origins of Life - Detecting RNA Life Signatures Using Learning Vector Quantization.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
Appropriate Data Density Models in Probabilistic Machine Learning Approaches for Data Analysis.
Proceedings of the Artificial Intelligence and Soft Computing, 2019
2018
Investigating the Influence of CPU Load, Memory Usage and Environmental Conditions on the Jittering of Android Devices.
Proceedings of the VII International Conference on Network, Communication and Computing, 2018
Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2018
Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning.
J. Artif. Intell. Soft Comput. Res., 2017
Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning.
Neurocomputing, 2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
2016
Integration of Auxiliary Data Knowledge in Prototype Based Vector Quantization and Classification Models
PhD thesis, 2016
Neurocomputing, 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Similarities, Dissimilarities and Types of Inner Products for Data Analysis in the Context of Machine Learning - A Mathematical Characterization.
Proceedings of the Artificial Intelligence and Soft Computing, 2016
Adaptive dissimilarity weighting for prototype-based classification optimizing mixtures of dissimilarities.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines.
Soft Comput., 2015
Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms.
Proceedings of the Artificial Intelligence and Soft Computing, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Computer Analysis of Images and Patterns, 2015
2014
Neurocomputing, 2014
RFSOM - Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Attention Based Classification Learning in GLVQ and Asymmetric Misclassification Assessment.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
2013
CoRR, 2013
Comput. Intell. Neurosci., 2013
Proceedings of the Advances in Computational Intelligence, 2013
About analysis and robust classification of searchlight fMRI-data using machine learning classifiers.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
A sparse kernelized matrix learning vector quantization model for human activity recognition.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Neurocomputing, 2012
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
Non-Euclidean Principal Component Analysis and Oja's Learning Rule - Theoretical Aspects.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
ICMLA Face Recognition Challenge - Results of the Team Computational Intelligence Mittweida.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the Artificial Intelligence and Soft Computing, 2012
Proceedings of the Artificial Intelligence and Soft Computing, 2012
Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011