Cs-Lg
Time Series Simulation by Conditional Generative Adversarial Net
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications
A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning
Preference elicitation and inverse reinforcement learning
Efficient sampling of high-dimensional Gaussian fields: the non-stationary / non-sparse case
Clustering Partially Observed Graphs via Convex Optimization
Compressive Network Analysis
Online Learning: Stochastic and Constrained Adversaries
A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications
Android Botnet Detection using Convolutional Neural Networks
Empirical effect of graph embeddings on fraud detection/ risk mitigation
Evaluation of Machine Learning Algorithms for Intrusion Detection System
Notes on a New Philosophy of Empirical Science
PAC learnability versus VC dimension: a footnote to a basic result of statistical learning
Attacking and Defending Covert Channels and Behavioral Models
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results
Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks
Medical device surveillance with electronic health records
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
Text classification based on ensemble extreme learning machine