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Confidence bands for least squares support vector machine classifiers: A regression approach.

, , , , and . Pattern Recognit., 45 (6): 2280-2287 (2012)

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A multi-layered energy consumption model for smart wireless acoustic sensor networks., , , , , , , , and . CoRR, (2018)Confidence bands for least squares support vector machine classifiers: A regression approach., , , , and . Pattern Recognit., 45 (6): 2280-2287 (2012)Detecting rare events using extreme value statistics applied to epileptic convulsions in children., , , , , , , , and . Artif. Intell. Medicine, 60 (2): 89-96 (2014)Comparison of Deep Autoencoder Architectures for Real-time Acoustic Based Anomaly Detection in Assets., and . IDAACS, page 786-790. IEEE, (2019)Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers., , , , , , , , and . ICPRAM, page 447-452. SciTePress, (2013)Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation., and . Neurocomputing, (November 2023)Musical note onset detection based on a spectral sparsity measure., , and . EURASIP J. Audio Speech Music. Process., 2021 (1): 30 (2021)A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users., , , , , , and . INTERSPEECH, page 746-750. ISCA, (2015)Self-taught assistive vocal interfaces: an overview of the ALADIN project., , , , , , , , , and 3 other author(s). INTERSPEECH, page 2039-2043. ISCA, (2013)Remote Monitoring of COVID-19 Patients Following Discharge from a Tertiary Care Center., , , , , and . CinC, page 1-4. IEEE, (2022)