ملف الباحث
Ricardo B. C. Prudêncio
ورقتان في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder
2024
Anomaly detection (AD) techniques are adopted to identify instances with patterns that significantly differ from the general behavior of a dataset. The development of new techniques, such as those based on deep learning, and the …
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Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness
2025 · arXiv (Cornell University)
Benchmarking is a fundamental practice in machine learning (ML) for comparing the performance of classification algorithms. However, traditional evaluation methods often overlook a critical aspect: the joint consideration of dataset complexity and an algorithm's ability …