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A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-Transformation.

, , , , , , , , and . WHISPERS, page 1-5. IEEE, (2023)

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Investigation of Activation Functions for Generalized Learning Vector Quantization., , , , and . WSOM+, volume 976 of Advances in Intelligent Systems and Computing, page 179-188. Springer, (2019)Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps., , , and . ANNIMAB, page 221-226. Springer, (2000)Brilliant Challenges Optimization Problem Submission Contest Final Report., , , , , , , and . CoRR, (2021)AI-Based Multi Sensor Fusion for Smart Decision Making: A Bi-Functional System for Single Sensor Evaluation in a Classification Task., , , , and . Sensors, 21 (13): 4405 (2021)Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features., , , and . ESANN, (2022)Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms., , and . NeurIPS, (2020)Functional relevance learning in learning vector quantization for hyperspectral data., and . WHISPERS, page 1-4. IEEE, (2011)Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data., , , and . ICMLA, page 374-379. IEEE Computer Society, (2004)Prototype-based Neural Network Layers: Incorporating Vector Quantization., , , and . CoRR, (2018)Supervised neural gas for learning vector quantization, , and . (2002)