Alexander L. Hayes is a Health Informatics Ph.D. Student at Indiana University Bloomington. His interests are in statistical relational artificial intelligence (STARAI), machine learning, software engineering, open source software; and their applications toward solving real-world health informatics problems. He holds a B.S. Computer Science from Indiana University.
Contact: hayesall@iu.edu
Recent Publications
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes
We answer develop a method to automatically extract qualitative influence statements from a learned probabilistic model.
Updates
- "A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes" was accepted at AIME 2021
- srlearn: A Python Library for Gradient-Boosted Statistical Relational Models was accepted at the Ninth International Workshop on Statistical Relational AI
- 2019-06-14: I am attending International Conference of Machine Learning (ICML) in Long Beach, California.
- Spring 2019: I am transferring to work as a Research Assistant with the Proactive Health Informatics (ProHealth) Department within the School of Informatics, Computing, and Engineering (SICE) at Indiana University, Bloomington.
- Fall 2018: I will be a Teaching Assistant for Automata Theory (CS 4384.001)
Recent blog posts
Draw Demo Data for Machine Learning in the Browser
Click to add points, export as code.
Extracting Interpretable Rules from Bayesian Networks in Python
I read a bioinformatics paper on Bayesian rule learning. With ten years of hindsight, it looked a lot like an explainability technique.
Jekyll Blogging on Chromebooks
This site can't be reached? 127.0.0.1 refused to connect? How does Jekyll development on Chromebook differ from developing on other systems?
How Hot is the IU School of Informatics?
We rarely notice that we live inside an invisible layer of liquid heat. This describes how I glimpsed into the heat distribution of the IU Informatics Building.