1.4k citations · 2.1k across the 85 of their papers we have counts for
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Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
Turker Ince, Junaid Malik, Ozer Can Devecioglu +4
Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recent…
Learning distinct features helps, provably
Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis +1
We study the diversity of the features learned by a two-layer neural network trained with the least squares loss. We measure the diversity by the average -distance between the…
AnomalyHop: An SSL-based Image Anomaly Localization Method
Kaitai Zhang, Bin Wang, Wei Wang +3
An image anomaly localization method based on the successive subspace learning (SSL) framework, called AnomalyHop, is proposed in this work. AnomalyHop consists of three modules: 1…
Knowledge Distillation By Sparse Representation Matching
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Knowledge Distillation refers to a class of methods that transfers the knowledge from a teacher network to a student network. In this paper, we propose Sparse Representation Matchi…
Reliable COVID-19 Detection Using Chest X-ray Images
Aysen Degerli, Mete Ahishali, Serkan Kiranyaz +2
Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning al…