Chin-Teng Lin

Cognitive Neuroscience · Neurocomputing · 2003–2020

A researcher in the Science corpus: 7 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 47 citations into it
• Artificial Intelligence — 37 citations into it
• Information Systems — 14 citations into it
• Signal Processing — 13 citations into it
• Human-Computer Interaction — 11 citations into it
• Molecular Biology — 10 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Chin-Teng Lin trusts overall

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

1. Anthony J. Bell
2. Christian Jutten
3. Chia-Feng Juang
4. Terrence J. Sejnowski
5. Vladimir Naumovich Vapni
6. Vladimir Naumovich Vapnik
7. Yang Gao
8. Tzyy-Ping Jung
9. Scott Makeig

Papers from Chin-Teng Lin's perspective

Ordered by how strongly the researchers Chin-Teng Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
3. A Survey on Transfer Learning
4. Intriguing properties of neural networks
5. Explaining and Harnessing Adversarial Examples
6. Normalized cuts and image segmentation
7. ImageNet classification with deep convolutional neural networks
8. Blind separation of sources, Part I" An adaptive algorithm based on neuromimetic architecture
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Genetic Algorithms in Search Optimization and Machine Learning

Their papers

• Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects (2016) — 600 citations
• EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications (2020) — 331 citations
• Multi-channel EEG recordings during a sustained-attention driving task (2018) — 296 citations
• A review of clustering techniques and developments (2017) — 1,203 citations
• Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network (2013) — 161 citations
• EEG-based drowsiness estimation for safety driving using independent component analysis (2005) — 509 citations
• Recognition of Structure Classification of Protein Folding by NN and SVM Hierarchical Learning Architecture (2003) — 49 citations