88 citations · 349 across the 24 of their papers we have counts for
24 papers
A unified framework for dataset shift diagnostics
Felipe Maia Polo, Rafael Izbicki, Evanildo Gomes Lacerda +2
Supervised learning techniques typically assume training data originates from the target population. Yet, in reality, dataset shift frequently arises, which, if not adequately take…
LegalNLP -- Natural Language Processing methods for the Brazilian Legal Language
Felipe Maia Polo, Gabriel Caiaffa Floriano Mendonça, Kauê Capellato J. Parreira +6
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 faci…
Effects of personality traits in predicting grade retention of Brazilian students
Carmen Melo Toledo, Guilherme Mendes Bassedon, Jonathan Batista Ferreira +4
Student's grade retention is a key issue faced by many education systems, especially those in developing countries. In this paper, we seek to gauge the relevance of students' perso…
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation
Felipe Maia Polo, Renato Vicente
In supervised learning, training and test datasets are often sampled from distinct distributions. Domain adaptation techniques are thus required. Covariate shift adaptation yields…
Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models
Rodrigo Veiga, Renato Vicente
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…
Information inefficiency in a random linear economy model
Joao Pedro Jerico, Renato Vicente
We study the effects of introducing information inefficiency in a model for a random linear economy with a representative consumer. This is done by considering statistical, instead…