Probabilistic Forecasting with nnetsauce (using Density Estimation, Bayesian inference, Conformal prediction and Vine copulas): nnetsauce presentation at sktime meetup (2024-07-26)

Forecasting uncertainty: sequential split conformal prediction + Block bootstrap (web app)

learningmachine for Python: Machine Learning with explanations and uncertainty quantification

My presentation at ISF 2024 conference slides with nnetsauce probabilistic forecasting news.

Forecasting with XGBoost embedded in Quasi-Randomized Neural Networks at the International Symposium on Forecasting.

Forecasting Monthly Airline Passenger Numbers with Quasi-Randomized Neural Networks.

Automated hyperparameter tuning for Machine Learning using any conformalized surrogate.

Recognizing handwritten digits with Ridge2Classifier and log-likelihood loss.

A detailed introduction to Deep Quasi-Randomized 'neural' networks, with examples in Python and R, and a preprint.