49 citations · 53 across the 3 of their papers we have counts for
3 papers
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action
Emanuele Luzio, Moacir Antonelli Ponti, Christian Ramirez Arevalo +1
Machine learning models typically focus on specific targets like creating classifiers, often based on known population feature distributions in a business context. However, models…
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval
Leo Sampaio Ferraz Ribeiro, Moacir Antonelli Ponti
Sketch-an-Anchor is a novel method to train state-of-the-art Zero-shot Sketch-based Image Retrieval (ZSSBIR) models in under an epoch. Most studies break down the problem of ZSSBIR…
An empirical study on the effects of different types of noise in image classification tasks
Gabriel B. Paranhos da Costa, Welinton A. Contato, Tiago S. Nazare +2
Image classification is one of the main research problems in computer vision and machine learning. Since in most real-world image classification applications there is no control ov…