Stat-Ml
Dual-label Deep LSTM Dereverberation For Speaker Verification
Ordinal Risk-Group Classification
Emotion Recognition from Speech based on Relevant Feature and Majority Voting
Quantifying the Performance of Federated Transfer Learning
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Improving part-of-speech tagging via multi-task learning and character-level word representations
Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth
InverSynth: Deep Estimation of Synthesizer Parameter Configurations from Audio Signals
Instant Replay: Investigating statistical Analysis in Sports
Algorithm for Training Neural Networks on Resistive Device Arrays
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text
Proximal Reliability Optimization for Reinforcement Learning
Clustering Time-Series by a Novel Slope-Based Similarity Measure Considering Particle Swarm Optimization
Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics
A Nonparametric Frequency Domain EM Algorithm for Time Series Classification with Applications to Spike Sorting and Macro-Economics
Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach
A generalized risk approach to path inference based on hidden Markov models
The impact of imbalanced training data on machine learning for author name disambiguation
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks
Classification of Functioning, Disability, and Health for Children and Youth: ICF-CY Self Care (SCADI Dataset) Using Predictive Analytics
Comparing heterogeneous entities using artificial neural networks of trainable weighted structural components and machine-learned activation functions
Cardiac Arrhythmia Detection from ECG Combining Convolutional and Long Short-Term Memory Networks
