43 citations · 73 across the 6 of their papers we have counts for
6 papers
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…
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…
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery
Masoud Jalayer, Amin Kaboli, Carlotta Orsenigo +1
Fault diagnosis plays an essential role in reducing the maintenance costs of rotating machinery manufacturing systems. In many real applications of fault detection and diagnosis, d…
Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN
Masoud Jalayer, Reza Jalayer, Amin Kaboli +2
A current trend in industries such as semiconductors and foundry is to shift their visual inspection processes to Automatic Visual Inspection (AVI) systems, to reduce their costs,…
CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19
Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis
The paper develops a stochastic Agent-Based Model (ABM) mimicking the spread of infectious diseases in geographical domains. The model is designed to simulate the spatiotemporal sp…
Discovering Bayesian Market Views for Intelligent Asset Allocation
Frank Z. Xing, Erik Cambria, Lorenzo Malandri +1
Along with the advance of opinion mining techniques, public mood has been found to be a key element for stock market prediction. However, how market participants' behavior is affec…