most citedEvaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2026★ 1 cited

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty

Reza Jalayer, Masoud Jalayer, Andrea Mor +2

Uncertainty-aware deep learning (DL) models recently gained attention in fault diagnosis as a way to promote the reliable detection of faults when out-of-distribution (OOD) data ar…

math.OC2026

The impact of machine learning forecasting on strategic decision-making for Bike Sharing Systems

Enrico Angelelli, Andrea Mor, Carlotta Orsenigo +2

In this paper, machine learning techniques are used to forecast the difference between bike returns and withdrawals at each station of a bike sharing system. The forecasts are inte…