Victor Coscrato
Associate Professor - UFSCar | PhD in Artificial Intelligence
About
I am a teacher and researcher working at the intersection of statistics, machine learning, and artificial intelligence. I hold a Ph.D. in Artificial Intelligence from University College Cork and a Master's in Statistics from PIPGEs (USP/UFSCar). My research interests include recommendation systems, uncertainty quantification, and interpretable machine learning. I am passionate about teaching, open-source software, and statistical modeling.
Featured Publications
Estimating and evaluating the uncertainty of rating predictions and top-n recommendations in recommender systems – ACM Transactions on Recommender Systems, 2023
NLS: An accurate and yet easy-to-interpret prediction method – Neural Networks, 2023
The NN-Stacking: Feature weighted linear stacking through neural networks – Neurocomputing, 2020
Agnostic tests can control the type I and type II errors simultaneously – Brazilian Journal of Probability and Statistics, 2020
Other Research
Uncertainty in Recommender Systems – Ph.D. Thesis, University College Cork, 2024
Supplier Recommendation in Online Procurement – arXiv preprint, 2024
Interpretable hypothesis tests – arXiv preprint, 2019
Neural networks as an optimization tool for regression – Master's Dissertation, UFSCar/USP, 2019
Teaching
2026/1
- Probabilidade e Introdução à Inferência Estatística
- Laboratório de Estatística Aplicada
2025/2
- Estatística Multivariada 2
- Laboratório de Estatística Aplicada
Lecture Notes
Estatística Multivariada
Lecture notes for my Multivariate Statistics course (in Portuguese).
Redes Neurais com PyTorch
Lecture notes for my Neural Networks with PyTorch course.
Coming soon
Contact
You can reach me in Portuguese, English, or Spanish.
vcoscrato [at] gmail [dot] com
vcoscrato [at] ufscar [dot] br