Stat-Ml
Sparse Volterra and Polynomial Regression Models: Recoverability and Estimation
DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles
Rasch-based high-dimensionality data reduction and class prediction with applications to microarray gene expression data
Multiple Kernel Learning: A Unifying Probabilistic Viewpoint
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming
Automated Generation of Test Models from Semi-Structured Requirements
Survey on Deep Neural Networks in Speech and Vision Systems
Training LSTM Networks with Resistive Cross-Point Devices
A Review on The Use of Deep Learning in Android Malware Detection
A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized least-square problem
Open Problems in Engineering and Quality Assurance of Safety Critical Machine Learning Systems
Machine Learning and System Identification for Estimation in Physical Systems
Anomaly Detection for Network Connection Logs
Model Selection Consistency for Cointegrating Regressions
Robust Nonparametric Regression via Sparsity Control with Application to Load Curve Data Cleansing
Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration
Replay spoofing detection system for automatic speaker verification using multi-task learning of noise classes
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small Data
Topological based classification of paper domains using graph convolutional networks
Automatic Classification of Music Genre using Masked Conditional Neural Networks
A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data
