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The Art and Science of Machine Intelligence: With an Innovative Application for Alzheimer's Detection from Speech

1st ed. 2020., 2019

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Targeting Chemical and Biological Warfare Agents at the Molecular Level

Electroanalysis (New York, N.Y.), 2003-08, Vol.15 (14), p.1149-1159

2003

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Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression

BMC bioinformatics, 2011-01, Vol.12 (1), p.37-37, Article 37

2011

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Statistical learning methods as a preprocessing step for survival analysis: evaluation of concept using lung cancer data

Biomedical engineering online, 2011-11, Vol.10 (1), p.97-97, Article 97

2011

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Perturbation and candidate analysis to combat overfitting of gene expression microarray data

International journal of computational biology and drug design, 2011, Vol.4 (4), p.307

2011

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Multiclass primal support vector machines for breast density classification

International journal of computational biology and drug design, 2009, Vol.2 (1), p.21

2009

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Kernelized partial least squares for feature reduction and classification of gene microarray data

BMC systems biology, 2011, Vol.5 Suppl 3 (Suppl 3), p.S13-S13

2011

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A kernel approach for ensemble decision combinations with two-view mammography applications

International journal of functional informatics and personalised medicine, 2010, Vol.3 (2), p.157

2010

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Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning

International journal of computational biology and drug design, 2010, Vol.3 (1), p.15

2010

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Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors

Journal of Chemical Information and Computer Sciences, 2004-03, Vol.44 (2), p.499-507

2004

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Novel approaches for the microcalcification problem of non-palpable lesions

International journal of functional informatics and personalised medicine, 2009, Vol.2 (1), p.1

2009

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New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data

International journal of functional informatics and personalised medicine, 2008, Vol.1 (2), p.111

2008

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A kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from tissue images

International journal of functional informatics and personalised medicine, 2008, Vol.1 (1), p.26

2008

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The Uncertainty Area Metric: a Method for Comparing Learning Machines on What They Don’t Know

Procedia computer science, 2017, Vol.114, p.192-199

2017

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Predicting with Confidence: Classifiers that Know What They Don’t Know

Procedia computer science, 2017, Vol.114, p.200-207

2017

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A Machine Intelligence Designed Bayesian Network Applied to Alzheimer's Detection Using Demographics and Speech Data

Procedia computer science, 2016, Vol.95, p.168-174

2016

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Part III: Healthcare Systems

Procedia computer science, 2013, Vol.20, p.360-361

Land, Walker H.

2013

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Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions

Procedia computer science, 2015, Vol.61, p.381-387

2015

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Preface to Part VI Biologically Inspired Paradigms

Procedia computer science, 2012, Vol.12, p.418-419

Land, Walker H.

2012

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Preface to Part III Modern and Biologically Inspired Paradigm

Procedia computer science, 2011, Vol.6, p.265-266

2011

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Classical Bayesian Theory and Networks

The Art and Science of Machine Intelligence, 2019, p.157-185

2019

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The Generalized Regression Neural Network Oracle

The Art and Science of Machine Intelligence, 2019, p.77-105

2019

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Hybrid GA-SVM-Oracle Paradigm

The Art and Science of Machine Intelligence, 2019, p.137-155

2019

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Bayesian Probabilistic Neural Network (BPNN)

The Art and Science of Machine Intelligence, 2019, p.187-210

2019

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The Support Vector Machine

The Art and Science of Machine Intelligence, 2019, p.45-76

2019

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The Art and Science of Machine Intelligence: With an Innovative Application for Alzheimer's Detection from Speech

Targeting Chemical and Biological Warfare Agents at the Molecular Level

Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression

Statistical learning methods as a preprocessing step for survival analysis: evaluation of concept using lung cancer data

Perturbation and candidate analysis to combat overfitting of gene expression microarray data

Multiclass primal support vector machines for breast density classification

Kernelized partial least squares for feature reduction and classification of gene microarray data

A kernel approach for ensemble decision combinations with two-view mammography applications

Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning

Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors

Novel approaches for the microcalcification problem of non-palpable lesions

New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data

A kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from tissue images

The Uncertainty Area Metric: a Method for Comparing Learning Machines on What They Don’t Know

Predicting with Confidence: Classifiers that Know What They Don’t Know

A Machine Intelligence Designed Bayesian Network Applied to Alzheimer's Detection Using Demographics and Speech Data

Part III: Healthcare Systems

Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions

Preface to Part VI Biologically Inspired Paradigms

Preface to Part III Modern and Biologically Inspired Paradigm

Classical Bayesian Theory and Networks

The Generalized Regression Neural Network Oracle

Hybrid GA-SVM-Oracle Paradigm

Bayesian Probabilistic Neural Network (BPNN)

The Support Vector Machine

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