Stat-Ml
Natural Language Generation for Electronic Health Records
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
The Temple University Hospital Seizure Detection Corpus
Multiscale Geometric Methods for Data Sets II: Geometric Multi-Resolution Analysis
Reconstruction of Causal Networks by Set Covering
Epistemic irrelevance in credal nets: the case of imprecise Markov trees
Classifying the typefaces of the Gutenberg 42-line bible
Performance study of distributed Apriori-like frequent itemsets mining
A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM
Environmental Sound Recognition using Masked Conditional Neural Networks
Analyzing Self-Driving Cars on Twitter
Every Local Minimum Value is the Global Minimum Value of Induced Model in Non-convex Machine Learning
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals
Land Use and Land Cover Classification Using Deep Learning Techniques
Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model
LASSO ISOtone for High Dimensional Additive Isotonic Regression
Using stigmergy to incorporate the time into artificial neural networks
Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue
Time Series Analysis of Electricity Price and Demand to Find Cyber-attacks using Stationary Analysis
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation
Automated bird sound recognition in realistic settings
Code-division multiplexed resistive pulse sensor networks for spatio-temporal detection of particles in microfluidic devices
