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Valentine N. Fontama
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Cited by
Year
Predictive analytics with Microsoft Azure machine learning
R Barga, V Fontama, WH Tok, L Cabrera-Cordon
Apress, 2015
1532015
Evaluating convective heat transfer coefficients using neural networks
K Jambunathan, SL Hartle, S Ashforth-Frost, VN Fontama
International Journal of Heat and Mass Transfer 39 (11), 2329-2332, 1996
1451996
Neural network predictors of average score per taxon and number of families at unpolluted river sites in Great Britain
WJ Walley, VN Fontama
Water Research 32 (3), 613-622, 1998
851998
New approaches to river quality classification based upon Artificial Intelligence.
WJ Walley, VN Fontama
Assessing the biological quality of fresh waters: RIVPACS and other …, 2000
302000
Introducing microsoft azure machine learning
R Barga, V Fontama, WH Tok
Predictive Analytics with Microsoft Azure Machine Learning, 21-43, 2015
252015
The role of neural networks in fluid mechanics and heat transfer
S Ashforth-Frost, VN Fontama, K Jambunathan, SL Hartle
Proceedings of 1995 IEEE Instrumentation and Measurement Technology …, 1995
191995
Introducing Microsoft Azure HDInsight
A Chauhan, V Fontama, M Hart, WH Tok, B Woody
Microsoft press, 2014
142014
Using ART2 networks to deduce flow velocities
K Jambunathan, VN Fontama, SL Hartle, S Ashforth-Frost
Artificial intelligence in engineering 11 (2), 135-141, 1997
101997
Churn prediction using static and dynamic features
F Zhu, X Song, C Zhong, S Fang, R Bouchard, VN Fontama, P Singh, ...
US Patent App. 15/446,870, 2018
82018
Cortana analytics
R Barga, V Fontama, WH Tok
Predictive Analytics with Microsoft Azure Machine Learning, 279-283, 2015
82015
Applications of Artificial Intelligence for the Biological Surveillance of River Quality
WJ Walley, VN Fontama, RW Martin
Environment Agency, 1998
71998
Bio-monitoring of rivers: an AI approach to data interpretation
WJ Walley, VN Fontama
TOXICOLOGY AND ECOTOXICOLOGY NEWS REVIEWS 4, 182-184, 1997
41997
Integration with R
R Barga, V Fontama, WH Tok
Predictive Analytics with Microsoft Azure Machine Learning, 81-101, 2015
22015
Introduction to Data Science
R Barga, V Fontama, WH Tok
Predictive Analytics with Microsoft Azure Machine Learning, 3-20, 2015
22015
Building Customer Propensity Models
R Barga, V Fontama, WH Tok
Predictive Analytics with Microsoft Azure Machine Learning, 151-171, 2015
12015
Data Preparation
R Barga, V Fontama, WH Tok
Predictive Analytics with Microsoft Azure Machine Learning, 45-79, 2015
12015
ART2 networks for particle image velocimetry
SL Hartle, VN Fontama, S Ashforth-Frost, K Jambunathan
IET Digital Library, 1995
11995
Interconnecting nodes of entity combinations
JD Fitzgerald, VN Fontama
US Patent 10,931,761, 2021
2021
Storing parseable entity combinations
JD Fitzgerald, VN Fontama
US Patent App. 15/430,246, 2018
2018
Recommendation Systems
R Barga, V Fontama, WH Tok
Predictive Analytics with Microsoft Azure Machine Learning, 243-262, 2015
2015
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