Jeff Heaton

According to our database, Jeff Heaton authored at least 9 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2020

Applications of Deep Neural Networks.

Jeff Heaton

CoRR, 2020

2019

Evolving continuous cellular automata for aesthetic objectives.

Jeff Heaton

Genet. Program. Evolvable Mach., 2019

2018

Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning - The MIT Press, 2016, 800 pp, ISBN: 0262035618.

Jeff Heaton

Genet. Program. Evolvable Mach., 2018

2017

Automated Feature Engineering for Deep Neural Networks with Genetic Programming.

Jeff Heaton

PhD thesis, 2017

Comparing Dataset Characteristics that Favor the Apriori, Eclat or FP-Growth Frequent Itemset Mining Algorithms.

Jeff Heaton

CoRR, 2017

An Empirical Analysis of Feature Engineering for Predictive Modeling.

Jeff Heaton

CoRR, 2017

Deep learning for prioritizing and responding to intrusion detection alerts.

Steven McElwee, Jeffrey Heaton, James B. Fraley, James Cannady

Proceedings of the 2017 IEEE Military Communications Conference, 2017

Early stabilizing feature importance for TensorFlow deep neural networks.

Jeff Heaton, Steven McElwee, James B. Fraley, James Cannady

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Encog: library of interchangeable machine learning models for Java and C#.

Jeff Heaton

J. Mach. Learn. Res., 2015