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Jeff Heaton
ORCID
Publication Activity (10 Years)
Years Active: 2015-2020
Publications (10 Years): 6
Top Topics
Feature Importance
Mining Algorithm
Learning Models
Spam Filtering
Top Venues
CoRR
Genet. Program. Evolvable Mach.
J. Mach. Learn. Res.
IJCNN
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Publications
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Jeff Heaton
Applications of Deep Neural Networks.
CoRR
(2020)
Jeff Heaton
Evolving continuous cellular automata for aesthetic objectives.
Genet. Program. Evolvable Mach.
20 (1) (2019)
Jeff Heaton
Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning - The MIT Press, 2016, 800 pp, ISBN: 0262035618.
Genet. Program. Evolvable Mach.
19 (1-2) (2018)
Jeff Heaton
Comparing Dataset Characteristics that Favor the Apriori, Eclat or FP-Growth Frequent Itemset Mining Algorithms.
CoRR
(2017)
Jeff Heaton
,
Steven McElwee
,
James B. Fraley
,
James Cannady
Early stabilizing feature importance for TensorFlow deep neural networks.
IJCNN
(2017)
Jeff Heaton
An Empirical Analysis of Feature Engineering for Predictive Modeling.
CoRR
(2017)
Jeff Heaton
Encog: Library of Interchangeable Machine Learning Models for Java and C#.
CoRR
(2015)
Jeff Heaton
Encog: library of interchangeable machine learning models for Java and C#.
J. Mach. Learn. Res.
16 (2015)