32 citations · 34 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 2 cited
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
This paper presents a pipeline to detect and explain anomalous reviews in online platforms. The pipeline is made up of three modules and allows the detection of reviews that do not…
cs.LG2022★ 32 cited
Fast Deep Autoencoder for Federated learning
David Novoa-Paradela, Oscar Romero-Fontenla, Bertha Guijarro-Berdiñas
This paper presents a novel, fast and privacy preserving implementation of deep autoencoders. DAEF (Deep Autoencoder for Federated learning), unlike traditional neural networks, tr…