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Neuroscience 논문 리뷰
Neuroscience 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
2,181개의 결과
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism
Juan Manuel Mayor Torres, Sara Medina-DeVilliers 외 3명
arXiv (Cornell University)
|
2021
|
10 회 인용
Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance
Md. Tanvir Rouf Shawon, G. M. Shahariar 외 2명
arXiv (Cornell University)
|
2023
|
10 회 인용
Fast embedding of multilayer networks: An algorithm and application to group fMRI.
James Wilson, Melanie Baybay 외 2명
arXiv (Cornell University)
|
2018
|
10 회 인용
FMRI Clustering and False Positive Rates
Robert W. Cox, Gang Chen 외 3명
arXiv (Cornell University)
|
2017
|
10 회 인용
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition
Zhi Zhang, Sheng-hua Zhong 외 1명
arXiv (Cornell University)
|
2021
|
10 회 인용
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt, Georgia Koppe 외 3명
arXiv (Cornell University)
|
2019
|
10 회 인용
Inhibitory synchrony as a mechanism for attentional gain modulation
Paul Tiesinga, Jean‐Marc Fellous 외 3명
ArXiv.org
|
2005
|
10 회 인용
Integrating Contextual Knowledge to Visual Features for Fine Art Classification
Giovanna Castellano, Giovanni Sansaro 외 1명
arXiv (Cornell University)
|
2021
|
10 회 인용
It's All in the Timing: Principles of Transient Distraction Illustrated with Vibrotactile Tasks
Christopher L. Asplund, Takashi Obana 외 3명
arXiv (Cornell University)
|
2020
|
10 회 인용
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging
Huy P. Phan, Kristian P. Lorenzen 외 8명
arXiv (Cornell University)
|
2023
|
10 회 인용
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