Search Results for author:
Found 5 papers, 0 papers with code
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates
The increasing complexity of data requires methods and models that can effectively handle intricate structures, as simplifying them would result in loss of information.
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model
Fairness-aware GANs (FairGANs) exploit the mechanisms of Generative Adversarial Networks (GANs) to impose fairness on the generated data, freeing them from both disparate impact and disparate treatment.
Towards global monitoring: equating the Food Insecurity Experience Scale (FIES) and food insecurity scales in Latin America
In order to face food insecurity as a global phenomenon, it is essential to rely on measurement tools that guarantee comparability across countries.
Applications G.3
Supervised Learning with Indefinite Topological Kernels
Topological Data Analysis (TDA) is a recent and growing branch of statistics devoted to the study of the shape of the data.
Persistence Flamelets: multiscale Persistent Homology for kernel density exploration
In recent years there has been noticeable interest in the study of the "shape of data".
