Mark T. Hamilton
Machine Learning Researcher and Software Engineer
Machine Learning Researcher and Software Engineer
We use microbial risk simulation to create guidelines for residential water quality. Selected as an American Chemical Society Editors' Choice article.
We create a real-time currency detection algorithm to help those with visual impairments.
Read our chapter on using UAVs, deep learning, and Azure Kunernetes Service to develop and deploy a poacher recognition system.
Companies and the Rise of Economic Thought receives honorable mention for the Granovetter Prize for the Best article in Economic Sociology
Explore the mind of a GAN trained on the Metropolitan Museum of Art's collected works. Then, find your creation in the MET's collection with reverse image search.
A Fault-Tolerant, Elastic, and RESTful Machine Learning Framework
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Distributed Deep Learning
Simple, Sub-Millisecond Web Serving on Apache Spark
Composable and Intelligent Microservices
Distributed Model Interpretability
Using Bing and LIME on Spark to create object detectors 100% in silico
Cycle -consistent adversarial domain adaptation and drone simulation for unsupervised poacher detection
Distributed, deep, object detection for automated poacher recognition
AGN Populations in Large-volume X-Ray Surveys
Automated Theorem Proving in the Module System for Mathematical Theories
Semi-Supervised Translation with MMD Networks
Category Theory and the Curry-Howard-Lambek Correspondence
Companies and the Rise of Economic Thought
A Cross-Domain Comparison of Bayesian Psychological Discounting Models
Health risks from exposure to Legionella in reclaimed water aerosols
