1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Benchmarking noisy label detection methods
Henrique Pickler, Jorge K. S. Kamassury, Danilo Silva
Label noise is a common problem in real-world datasets, affecting both model training and validation. Clean data are essential for achieving strong performance and ensuring reliabl…
cs.IT2020★ 1 cited
Iterative Error Decimation for Syndrome-Based Neural Network Decoders
Jorge Kysnney Santos Kamassury, Danilo Silva
In this letter, we introduce a new syndrome-based decoder where a deep neural network (DNN) estimates the error pattern from the reliability and syndrome of the received vector. Th…