Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models

Automatic classification of infant vocalization sequences with convolutional neural networks

(2020) Franz Anders et al.   SPEECH COMMUNICATION

A Deep Convolutional Neural Network Based Approach for Effective Neonatal Cry Classification

(2020) K Ashwini et al.   Recent Advances in Computer Science and Communications

A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices

(2020) Ye Yuan et al.   IEEE Transactions on Big Data

Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems

(2019) Luo Xin et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Newborn cry nonlinear features extraction and classification

(2018) Lizbeth Peralta-Malváez et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Effects of preprocessing and training biases in latent factor models for recommender systems

(2018) Ye Yuan et al.   NEUROCOMPUTING

Robust RGB-D Hand Tracking Using Deep Learning Priors

(2017) Jordi Sanchez-Riera et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns

(2017) Fengbin Tu et al.   IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

DAG-SVM based infant cry classification system using sequential forward floating feature selection

(2016) Chuan-Yu Chang et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Time–Frequency Filtering Based on Spectrogram Zeros

(2015) Patrick Flandrin   IEEE SIGNAL PROCESSING LETTERS

Inversion of auditory spectrograms, traditional spectrograms, and other envelope representations

(2014) Remi Decorsiere et al.   IEEE-ACM Transactions on Audio Speech and Language Processing