Random stuff I've been working on

Local Temperature Scaling for Probability Calibration

Non-Parametric Calibration for Classification (AISTATS 2020)

UQ4DD: Uncertainty Quantification for Drug Discovery

This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.

Production-minded Streamlit + Plotly fraud detection dashboard with decision policies (Strict/Balanced/Lenient), cost-vs-threshold analysis, and calibrated model artifacts.

Cost-aware credit card fraud detection pipeline: time-based split, probability calibration, and business-aligned threshold tuning (AUPRC-first).

khalib is a classifier calibration algorithm based on Khiops

A simple yet effective post-processing method for detecting unknown intent in dialogue systems based on pre-trained deep neural network classifiers

Decision-grade donor outreach policy: calibrated P(donated_next_6m) scoring + budgeted Top-K actions + net-benefit optimal threshold, with exported deployable artifacts.

My Master's thesis on Bayesian Classification with Regularized Gaussian Models

Code for the internship report. Sample × Category Probability Calibration in Two Dimensions.

🧠COGNITIVA-AI: IA intermodal (clínica+MRI) para cribado temprano de Alzheimer; probabilidades calibradas, umbrales por cohorte (S2) y release reproducible.

Machine learning–based cardiovascular risk screening app focused on high recall

Code and experiments for the preprint: "Bayesian Neural Network Versus Ex-Post Calibration For Capturing Prediction Uncertainty".

End-to-End Machine Learning pipeline for sports match prediction. Features advanced feature engineering (rolling windows, dynamic Elo), temporal validation, and probability calibration using LightGBM.