11 citations · 20 across the 7 of their papers we have counts for
6 papers · 1 filter
CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Limeng Cui, Siddharth Biswal, Lucas M. Glass +3
Rare diseases affect hundreds of millions of people worldwide but are hard to detect since they have extremely low prevalence rates (varying from 1/1,000 to 1/200,000 patients) and…
GEN Model: An Alternative Approach to Deep Neural Network Models
Jiawei Zhang, Limeng Cui, Fisher B. Gouza
In this paper, we introduce an alternative approach, namely GEN (Genetic Evolution Network) Model, to the deep learning models. Instead of building one single deep model, GEN adopt…
Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models
Jiawei Zhang, Limeng Cui, Fisher B. Gouza
In this paper, we aim at introducing a new machine learning model, namely reconciled polynomial machine, which can provide a unified representation of existing shallow and deep mac…
On Deep Ensemble Learning from a Function Approximation Perspective
Jiawei Zhang, Limeng Cui, Fisher B. Gouza
In this paper, we propose to provide a general ensemble learning framework based on deep learning models. Given a group of unit models, the proposed deep ensemble learning framewor…
Deep Loopy Neural Network Model for Graph Structured Data Representation Learning
Jiawei Zhang
Existing deep learning models may encounter great challenges in handling graph structured data. In this paper, we introduce a new deep learning model for graph data specifically, n…
GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization
Jiawei Zhang, Fisher B. Gouza
Deep neural network learning can be formulated as a non-convex optimization problem. Existing optimization algorithms, e.g., Adam, can learn the models fast, but may get stuck in l…