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A Multi-Gradient-Descent-Integrated Physics-Informed Autoencoder for Sensor Fault Detection in Data Center Chillers. [PDF]
Sensors (Basel)Shen X, Li P, Xu C, Xu C.
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Evaluating performance metrics in emotion lexicon distillation : a focus on F1 scores
Hinojosa-Lee, Maria Cristina +2 more
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A Shape Comparison Reinforcement Method Based on Feature Extractors and F1-Score
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019Evaluating object segmentation is a topic of great interest for shape comparison techniques. In this work, ad-hoc metrics for a detailed segmentation analysis and a novel keypoint based method for comparing pairs of shapes are presented. As references, two different segmentation approaches were used: a handmade segmentation and an automatic one based ...
Avola, D +7 more
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Maximum F1-Score Discriminative Training Criterion for Automatic Mispronunciation Detection
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015We carry out an in-depth investigation on a newly proposed Maximum F1-score Criterion (MFC) discriminative training objective function for Goodness of Pronunciation (GOP) based automatic mispronunciation detection that makes use of Gaussian Mixture Model-hidden Markov model (GMM-HMM) as acoustic models. The formulation of MFC seeks to directly optimize
Hao Huang 0009 +3 more
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F1 Score Assesment of Gaussian Mixture Background Subtraction Algorithms Using the MuHAVi Dataset
6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15), 2015Background subtraction algorithms are mainly used to segment some specific moving objects in an image sequences. Within of the action recognition context, these methods may be proper to generate automatically silhouettes of the human actions. In this way, MuHAVi is a human action dataset which provides a small set of manually annotated silhouettes and ...
Jorge Sepúlveda, Sergio A. Velastin
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On kNN Class Weights for Optimising G-Mean and F1-Score
2023Grzegorz Góra, Andrzej Skowron
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