Stat-Ml
Scaled Sparse Linear Regression
A New Multilabel System for Automatic Music Emotion Recognition
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)
Emotion Recognition with Machine Learning Using EEG Signals
The ILIUM forward modelling algorithm for multivariate parameter estimation and its application to derive stellar parameters from Gaia spectrophotometry
lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers
Competence Assessment as an Expert System for Human Resource Management: A Mathematical Approach
Effect of Depth and Width on Local Minima in Deep Learning
Optimizing Channel Selection for Seizure Detection
An Analysis of Two Common Reference Points for EEGs
Masked Conditional Neural Networks for Environmental Sound Classification
Graph-Based Method for Anomaly Prediction in Brain Network
Behavioral-clinical phenotyping with type 2 diabetes self-monitoring data
Automated design of collective variables using supervised machine learning
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases
Computational and informatics advances for reproducible data analysis in neuroimaging
Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms
Universal low-rank matrix recovery from Pauli measurements
Auto-associative models, nonlinear Principal component analysis, manifolds and projection pursuit
