Roberto Ferrero

Control and Systems Engineering · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 29 citations into it
• Mechanics of Materials — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Roberto Ferrero trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Long Wen

Papers from Roberto Ferrero's perspective

Ordered by how strongly the researchers Roberto Ferrero trusts endorse each paper. Same corpus, a different order for every researcher.

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. A Survey on Transfer Learning
3. ImageNet Large Scale Visual Recognition Challenge
4. Unsupervised Domain Adaptation by Backpropagation
5. Deep Domain Confusion: Maximizing for Domain Invariance
6. Deep Model Based Domain Adaptation for Fault Diagnosis (IEEE transactions on industrial electronics (1982. Print))
7. A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis (IEEE Transactions on Systems, Man & Cybernetics. Systems)
8. Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions (IEEE Access)
9. Artificial intelligence for fault diagnosis of rotating machinery: A review (Mechanical systems and signal processing)
10. Transfer Feature Learning with Joint Distribution Adaptation

Their papers

• Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016 (2023) — 513 citations