David R. Hardoon

Data science and machine learning

Research papers, methods, and technical work in machine learning.

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Writing

Podcast · 4 October 2021

Podcast on 'Algorithmic Decisions & the Financial Industry'
Essay · 23 August 2021

Estimating The Value of Data
Essay · 12 May 2021

The Moral AI
Essay · 17 August 2020

What Happens When AI is Used to Set Grades?
Essay · 13 July 2020

Leveraging AI to Battle This Pandemic — And The Next One
Essay · 19 June 2020

Oversight AI: AI to Control AI
Essay · 18 May 2020

Seeking Trust in AI
Podcast · 15 May 2020

[Podcast] AI Explainability and what it means to be a Data Artist
Essay · 7 March 2020

The real value of using Machine Learning in Financial Markets
Essay · 12 February 2020

The Impact of Telematics Data on Motor Insurance
Essay · 11 February 2020

Contextual Explainability

Research

Paper · 2017

A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation
Paper · 2012

Centroid-based Actionable 3D Subspace Clustering
Paper · 2011

Classifying Cognitive States of Brain Activity via One-Class Neural Networks with Feature Selection by Genetic Algorithms
Paper · 2011

Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms
Paper · 2011

Patient Classification as an Outlier Detection Problem: an Application of the One-Class Support Vector Machine
Paper · 2011

Sparse Canonical Correlation Analysis
Paper · 2010

Constructing Nonlinear Discriminants from Multiple Data Views
Paper · 2010

Compressive Sampling for Pulse Doppler Radar
Technical paper · 2010

An Analysis, Algorithm and Applications of Clustering and Co-occurrence Analysis
Paper · 2010

Decomposing the Tensor Kernel Support Vector Machine for Neuroscience Data with Structure Labels
Technical paper · 2010

Degree of abnormality in the fMRI response to sad facial expressions detected by one-class SVM correlates with Hamilton Rating Scale for Depression
Paper · 2010

Exploration-Exploitation of Eye Movements Enriched Multiple Feature Spaces for Content-Based Image Retrieval
Paper · 2010

Image Ranking with Implicit Feedback from Eye Movements
Technical paper · 2010

Guest Editorial: Learning from multiple sources
Paper · 2010

Guest Editorial: Learning from multiple sources
Technical paper · 2010

Pair-Wise Cluster Analysis
Paper · 2010

Towards One-Class Pattern Recognition in Brain Activity via Neural Networks
Technical paper · 2009

A Nonconformity Approach to Model Selection for SVMs
Technical paper · 2009

A Nonconformity Approach to Model Selection for SVMs
Technical paper · 2009

Accounting for Voxel Neighbourhood Relationship in the SVM
Paper · 2009

Automatic Choice of Control Measurements
Paper · 2009

Convergence Analysis of Kernel Canonical Correlation Analysis: Theory and Practice
Paper · 2009

GLM and SVM Analyses of Neural Response to Tonal and Atonal Stimuli: New Techniques and A Comparison
Technical paper · 2009

Image Ranking with Eye Movements
Technical paper · 2009

Matching Pursuit Kernel Fisher Discriminant Analysis
Paper · 2009

Matching Pursuit Kernel Fisher Discriminant Analysis
Technical paper · 2009

One-Class Pattern Recognition in Brain Activity via Neural Networks
Technical paper · 2009

One Class SVM for Predicting Brain State
Paper · 2009

PAC-Bayes Analysis of Maximum Entropy Learning
Technical paper · 2009

Ranking Algorithms for Implicit Feedback
Technical paper · 2009

Support Vector Machine Model Selection Using Strangeness
Technical paper · 2009

Whole Genome Association Studies in Autistic Spectrum Disorders Revisited: A Support Vector Machine Approach
Technical paper · 2008

An Investigation of the Visual Coding of Faces using Kernel Canonical Correlation Analysis
Technical paper · 2008

Multiview Fisher Discriminant Analysis
Technical paper · 2008

Sparse CCA for Bilingual Word Generation
Technical paper · 2008

The Double-Barrelled LASSO
Paper · 2008

Using String Kernels to Identify Famous Performers from their Playing Style
Paper · 2007

A Metamorphosis of Canonical Correlation Analysis into Multivariate Maximum Margin Learning
Technical paper · 2007

Can Style be Learned? A Machine Learning Approach Towards ‘Performing’ as Famous Pianists
Paper · 2007

Information Retrieval by Inferring Implicit Queries from Eye Movements
Technical paper · 2007

Neural Correlated of Tonality in Music
Paper · 2007

Unsupervised Analysis of fMRI Data Using Kernel Canonical Correlation
Paper · 2007

Using Image Stimuli to Drive fMRI Analysis
Technical paper · 2007

Unsupervised fMRI Analysis
Thesis · 2006

Semantic models for machine learning
Technical paper · 2006

Maximum Margin Regression using KCCA Feature Projection
Technical paper · 2005

Classifying Cognitive Tasks to fMRI Data Using Machine Learning Techniques
Technical paper · 2005

Directed Acyclic Graph SVM with Decision Value History Smoothing
Paper · 2005

fMRI Analysis via One-class Machine Learning Techniques
Paper · 2005

Generic Object Recognition by Distinct Features Combination in Machine Learning
Technical paper · 2005

One-class Machine Learning Approach for fMRI Analysis
Technical paper · 2005

Novelty Detection and Kernel Canonical Correlation Analysis of Brain Activities in fMRI Images
Paper · 2005

Two View Learning: SVM-2K, Theory and Practice
Paper · 2004

KCCA for fMRI Analysis
Paper · 2004

Canonical Correlation Analysis: An Overview with Application to Learning Methods
Technical paper · 2004

KCCA Feature Selection for fMRI Analysis
Technical paper · 2004

Large Scale Multiclass Classification Based on Linear Optimization
Technical paper · 2004

Using Fisher Kernels and Hidden Markov Models for the Identification of Famous Composers from their Sheet Music
Paper · 2004

Using String Kernels to Identify Performers from their Playing Style
Paper · 2003

Learning the Semantics of Multimedia Content with Application to Web Image Retrieval and Classification
Paper · 2003

KCCA for different level precision in content-based image retrieval
Technical paper · 2003

Signal Extraction for Brain-Computer Interface

Speaking

Talk · 12 July 2022

ABAC Public-Private Dialogue — Services Transformation and the Future of Work
Talk · 3 October 2021

Business Sense: David Hardoon, Aboitiz Data Innovation
Then: Managing Director, Aboitiz Data Innovation
Talk · August 2021

Applying Artificial Intelligence (AI) in RegTech
Talk · 8 May 2021

Operationalising Data Science and AI
Talk · 4 October 2020

The AI Factory is Directly Ahead
Talk · 3 October 2020

IIF Annual Membership Meeting: Ethical Use of Data
Talk · September 2020

Sensemaking: Humanify Tech to Thrive AI Development in Asean Region
Talk · June 2020

Disrupting Finance with Data Science and AI

Videos and podcasts

Video · 25 June 2024

Esquire Corner Office With David Hardoon | Esquire Philippines
Then: CEO, Aboitiz Data Innovation
Video · 25 January 2024

Regulating AI Innovation
Then: CEO, Aboitiz Data Innovation
Video · 1 September 2023

Interview with the Data Chief - David Hardoon
Then: Group Chief Data and AI Officer, UnionBank

News

News · 11 May 2021

Data for Well-Being: A paradigm of awareness?
News · 20 March 2021

The problem with data science education
News · 26 May 2017

Data Science and Machine Learning in Practice
News · 14 January 2016

Statistician The Accuser. (aka DS vs. Stats)

Handbook and books

Chapter · 2016

Business Forecasting: Practical Problems and Solutions
Chapter · 2014

Conformal Prediction for Reliable Machine Learning
Book · 2013

Getting Started with Business Analytics: Insightful Decision-Making
Chapter · 2004

Kernel Methods for Pattern Analysis