37 citations · 37 across the 3 of their papers we have counts for
5 papers
Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis
James Houston, Frank G. Glavin, Michael G. Madden
This paper presents a new approach to classification of high dimensional spectroscopy data and demonstrates that it outperforms other current state-of-the art approaches. The speci…
Graph Convolutional Networks: analysis, improvements and results
Ihsan Ullah, Mario Manzo, Mitul Shah +1
In the current era of neural networks and big data, higher dimensional data is processed for automation of different application areas. Graphs represent a complex data organization…
Dealing with Stochasticity in Biological ODE Models
Hamda Ajmal, Michael Madden, Catherine Enright
Mathematical modeling with Ordinary Differential Equations (ODEs) has proven to be extremely successful in a variety of fields, including biology. However, these models are complet…
PROFET: Construction and Inference of DBNs Based on Mathematical Models
Hamda Ajmal, Michael Madden, Catherine Enright
This paper presents, evaluates, and discusses a new software tool to automatically build Dynamic Bayesian Networks (DBNs) from ordinary differential equations (ODEs) entered by the…
Evaluation of the Performance of the Markov Blanket Bayesian Classifier Algorithm
Michael G. Madden
The Markov Blanket Bayesian Classifier is a recently-proposed algorithm for construction of probabilistic classifiers. This paper presents an empirical comparison of the MBBC algor…