Matthew Dirks

Hello world! I'm Matthew, an AI researcher,
software engineer, and data scientist.

What is AI?

"Artificial Intelligence (AI) is usually understood to be the branch of computer science that deals with creating tools for jobs usually considered to need considerable human intelligence." (Antoni Niederlinski)

"Artificial intelligence is the field that studies the synthesis and analysis of computational agents that act intelligently. ... The central engineering goal of AI is the design and synthesis of useful, intelligent artifacts. We actually want to build agents that act intelligently. Such agents are useful in many applications." (David Poole)

"The aim of artificial intelligence is to provide a computational model of intelligent behavior." (Judea Pearl, 1988)

Publications / Academic Works

Machine Learning for Spectroscopic Data Analysis: Challenges of Limited Labelled Data [PhD Thesis]

Automatic Neural Network Hyperparameter Optimization for Extrapolation: Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit [Paper]

Published in Chemometrics and Intelligent Laboratory Systems, [Pre-print]

M.Sc. Computer Science Thesis

Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves [Paper]

Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning [Paper]

Published in X-ray Spectrometry , [Pre-print]

Incorporating Domain Knowledge About XRF Spectra into Neural Networks [Paper]

Presented in Perception as Generative Reasoning workshop, NeurIPS 2019

Incorporating Domain Knowledge About XRF Spectra into Neural Networks [Poster]

Incorporating Domain Knowledge About XRF Spectra into Neural Networks [Presentation Video]

Spectral Sensor Fusion for Prediction of Li and Zr in Rocks: Neural Network and PLS Methods [Paper]

Published in Chemometrics and Intelligent Laboratory Systems

Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain [Paper]

Published in the Canadian Conference on Artificial Intelligence (2016)

Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain [Poster]

Portfolio

Previous work - games, websites, and more...

Zeta Flow [2007]

Review by JayIsGames.com

Hello world! I'm Matthew, an AI researcher,
software engineer, and data scientist.

What is AI?

Publications / Academic Works

Machine Learning for Spectroscopic Data Analysis: Challenges of Limited Labelled Data [PhD Thesis]

Automatic Neural Network Hyperparameter Optimization for Extrapolation: Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit [Paper]

M.Sc. Computer Science Thesis

Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves [Paper]

Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning [Paper]

Incorporating Domain Knowledge About XRF Spectra into Neural Networks [Paper]

Incorporating Domain Knowledge About XRF Spectra into Neural Networks [Poster]

Incorporating Domain Knowledge About XRF Spectra into Neural Networks [Presentation Video]

Spectral Sensor Fusion for Prediction of Li and Zr in Rocks: Neural Network and PLS Methods [Paper]

Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain [Paper]

Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain [Poster]

Portfolio

Zeta Flow [2007]

More Games...

skylogic.ca [2007-2013]

More Websites...

Home-made 3D Printer [in progress]

More projects...

Résumé

Contact