DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features
Sign Up to like & getrecommendations! Published in 2021 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01486-8
Abstract: Speech emotion recognition (SER) systems are often evaluated in a speaker-independent manner. However, the variation in the acoustic features of different speakers used during training and evaluation results in a significant drop in the accuracy… read more here.
Keywords: emotion recognition; speaker; epoch based; recognition ... See more keywords
Baseline [18F]FDG PET/CT and MRI first-order breast tumor features do not improve pathological complete response prediction to neoadjuvant chemotherapy
Sign Up to like & getrecommendations! Published in 2024 at "European Journal of Nuclear Medicine and Molecular Imaging"
DOI: 10.1007/s00259-024-06815-6
Abstract: To verify the ability of pretreatment [18F]FDG PET/CT and T1-weighed dynamic contrast-enhanced MRI to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients. This retrospective study includes patients with BC… read more here.
Keywords: fdg pet; response; 18f fdg; pet ... See more keywords
Higher order information set based features for text-independent speaker identification
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-017-9472-7
Abstract: In this paper Type-2 Information Set (T2IS) features and Hanman Transform (HT) features as Higher Order Information Set (HOIS) based features are proposed for the text independent speaker recognition. The speech signals of different speakers… read more here.
Keywords: order information; information; information set; higher order ... See more keywords
Evaluation of Data Mining Strategies for Classification of Black Tea Based on Image-Based Features
Sign Up to like & getrecommendations! Published in 2017 at "Food Analytical Methods"
DOI: 10.1007/s12161-017-1075-z
Abstract: In this study, a new procedure based on computer vision was developed for qualitative classification of black tea. Images of 240 samples from four different classes of black tea, including Orange Pekoe (OP), Flowery Orange… read more here.
Keywords: image based; classification black; based features; tea ... See more keywords
Combining Deep Learning With Physics Based Features in Explosion‐Earthquake Discrimination
Sign Up to like & getrecommendations! Published in 2022 at "Geophysical Research Letters"
DOI: 10.1029/2022gl098645
Abstract: This paper combines the power of deep‐learning with the generalizability of physics‐based features, to present an advanced method for seismic discrimination between earthquakes and explosions. The proposed method contains two branches: a deep learning branch… read more here.
Keywords: physics; discrimination; deep learning; based features ... See more keywords
AlzGenPred - CatBoost-based gene classifier for predicting Alzheimer’s disease using high-throughput sequencing data
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-82208-x
Abstract: AD is a progressive neurodegenerative disorder characterized by memory loss. Due to the advancement in next-generation sequencing, an enormous amount of AD-associated genomics data is available. However, the information about the involvement of these genes… read more here.
Keywords: catboost based; based gene; based features; alzgenpred catboost ... See more keywords
Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2021.1944860
Abstract: Abstract The primary objective of this study was to develop a trajectory-level weather detection system capable of providing real-time weather information at the road surface level using only a single video camera. Two texture-based features,… read more here.
Keywords: machine; histogram oriented; detection; model ... See more keywords
Non-invasive prediction of cholesterol levels from photoplethysmogram (PPG)-based features using machine learning techniques: a proof-of-concept study
Sign Up to like & getrecommendations! Published in 2025 at "Cogent Engineering"
DOI: 10.1080/23311916.2025.2467153
Abstract: Abstract Regular monitoring of cholesterol levels is crucial to reducing the risk of vascular blockage and preventing atherosclerotic cardiovascular diseases. However, standardized cholesterol measurement tests involve 8–12 hours of strict fasting and blood extraction via finger… read more here.
Keywords: photoplethysmogram ppg; machine learning; cholesterol levels; ppg ... See more keywords
Learning from the ligand: using ligand-based features to improve binding affinity prediction
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz665
Abstract: MOTIVATION Machine learning scoring functions for protein-ligand binding affinity prediction have been found to consistently outperform classical scoring functions. Structure-based scoring functions for universal affinity prediction typically use features describing interactions derived from the protein-ligand… read more here.
Keywords: ligand based; scoring functions; based features; ligand ... See more keywords
Classifying Small Earthquakes, Explosions, and Collapses in the Western United States Using Physics-Based Features and Machine Learning
Sign Up to like & getrecommendations! Published in 2024 at "Geophysical Journal International"
DOI: 10.1093/gji/ggae316
Abstract: Classifying the source type of small seismic events is a key task in seismology. A common goal is distinguishing tectonic earthquakes from explosions and human induced seismicity. To this end, we applied a spectral modeling… read more here.
Keywords: seismic events; physics based; classifying small; earthquakes explosions ... See more keywords
Separability of Histogram Based Features for Optical Performance Monitoring: An Investigation Using t-SNE Technique
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2019.2913687
Abstract: In this paper, we study the separability of the commonly used features to monitor the performance of optical signal in coherent optical systems. Specifically, our study focuses on the histogram-based features; the asynchronous amplitude histogram… read more here.
Keywords: using sne; performance; separability; based features ... See more keywords