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20222025
most citedNoise-Augmented Boruta: The Neural Network Perturbation Infusion with Boruta Feature Selection

2 citations · 3 across the 10 of their papers we have counts for

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eess.IV2024

Beyond Uncertainty Quantification: Learning Uncertainty for Trust-Informed Neural Network Decisions - A Case Study in COVID-19 Classification

Hassan Gharoun, Mohammad Sadegh Khorshidi, Fang Chen +1

Reliable uncertainty quantification is critical in high-stakes applications, such as medical diagnosis, where confidently incorrect predictions can erode trust in automated decisio…

cs.LG2024

Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning

Mohammad Sadegh Khorshidi, Navid Yazdanjue, Hassan Gharoun +4

In machine learning, the exponential growth of data and the associated ``curse of dimensionality'' pose significant challenges, particularly with expansive yet sparse datasets. Add…