265 citations
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17 papers · 1 filter
CEEMDAN-Based Multiscale CNN for Wind Turbine Gearbox Fault Detection
Nejad Alagha, Anis Salwa Mohd Khairuddin, Obada Al-Khatib +1
Wind turbines play a critical role in the shift toward sustainable energy generation. Their operation relies on multiple interconnected components, and a failure in any of these ca…
FairUDT: Fairness-aware Uplift Decision Trees
Anam Zahid, Abdur Rehman Ali, Shaina Raza +3
Training data used for developing machine learning classifiers can exhibit biases against specific protected attributes. Such biases typically originate from historical discriminat…
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients
Tamer Ahmed Eltaras, Qutaibah Malluhi, Alessandro Savino +3
In the effort to learn from extensive collections of distributed data, federated learning has emerged as a promising approach for preserving privacy by using a gradient-sharing mec…
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models
Hassan Ali, Muhammad Atif Butt, Fethi Filali +2
Recent works have shown that deep learning (DL) models can effectively learn city-wide crowd-flow patterns, which can be used for more effective urban planning and smart city manag…
Machine Learning Methods for Evaluating Public Crisis: Meta-Analysis
Izunna Okpala, Shane Halse, Jess Kropczynski
This study examines machine learning methods used in crisis management. Analyzing detected patterns from a crisis involves the collection and evaluation of historical or near-real-…
Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods
Andrea Apicella, Pasquale Arpaia, Giovanni D'Errico +4
A systematic review on machine-learning strategies for improving generalizability (cross-subjects and cross-sessions) electroencephalography (EEG) based in emotion classification w…