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Found 7 papers, 6 papers with code
A unified framework for dataset shift diagnostics
It is versatile, suitable for regression and classification tasks, and accommodates diverse data forms - tabular, text, or image.
LegalNLP -- Natural Language Processing methods for the Brazilian Legal Language
We present and make available pre-trained language models (Phraser, Word2Vec, Doc2Vec, FastText, and BERT) for the Brazilian legal language, a Python package with functions to facilitate their use, and a set of demonstrations/tutorials containing some applications involving them.
Effects of personality traits in predicting grade retention of Brazilian students
Student's grade retention is a key issue faced by many education systems, especially those in developing countries.
An experiment on the mechanisms of racial bias in ML-based credit scoring in Brazil
We dissect an experimental credit scoring model developed with real data and demonstrate - without access to protected attributes - how the use of location information introduces racial bias.
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation
Hence, in this paper, we focus on building a unified view connecting the ESS, data dimensionality, and generalization in the context of covariate shift adaptation.
Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models
We explore alternative experimental setups for the iterative sampling (flow) from Restricted Boltzmann Machines (RBM) mapped on the temperature space of square lattice Ising models by a neural network thermometer.
Age-structured estimation of COVID-19 ICU demand from low quality data
We sample aggravated cases following age-structured probabilities from confirmed cases and use ICU occupation data to find a subnotification factor.
Physics and Society Populations and Evolution
