Stat-Ml
Representation Learning for Medical Data
Greedy Deep Dictionary Learning
A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements
Mining of health and disease events on Twitter: validating search protocols within the setting of Indonesia
Font Identification in Historical Documents Using Active Learning
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning
A simple data discretizer
A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks
A stochastic model of human visual attention with a dynamic Bayesian network
Symbolic Regression Methods for Reinforcement Learning
Recurrent Transition Networks for Character Locomotion
Deep learning for pedestrians: backpropagation in CNNs
A Multivariate Regression Approach to Association Analysis of Quantitative Trait Network
Optimal construction of k-nearest neighbor graphs for identifying noisy clusters
Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis
Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation
Empirical Cumulative Distribution Function Clustering for LLM-based Agent System Analysis
Machine Learning in Epidemiology
Functional learning through kernels
Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models
