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20162026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations · 2.8k across the 15 of their papers we have counts for

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cs.LG2025

ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation

Mohammadreza Bakhtyari, Bogdan Mazoure, Renato Cordeiro de Amorim +2

Identifying an effective clustering algorithm for a given dataset remains a fundamental unsupervised learning issue. We introduce ClustRecNet, a novel end-to-end deep learning fram…

cs.LG2025

Improving clustering quality evaluation in noisy Gaussian mixtures

Renato Cordeiro de Amorim, Vladimir Makarenkov

Clustering is a well-established technique in machine learning and data analysis, widely used across various domains. Cluster validity indices, such as the Average Silhouette Width…