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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
Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding
Priya Sundaresan, Suneel Belkhale 외 1명
arXiv (Cornell University)
|
2022
|
7 회 인용
Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study
Milena Čukić, Lopez, Victoria Lopez
arXiv (Cornell University)
|
2019
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7 회 인용
Measuring and modeling the perception of natural and unconstrained gaze in humans and machines
Daniel Harari, Tao Gao 외 3명
arXiv (Cornell University)
|
2016
|
7 회 인용
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Umang Gupta, Dimitris Stripelis 외 4명
arXiv (Cornell University)
|
2021
|
7 회 인용
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
Siyi Tang, Jared Dunnmon 외 5명
arXiv (Cornell University)
|
2022
|
7 회 인용
Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines
Matteo Zanotto, Riccardo Volpi 외 4명
arXiv (Cornell University)
|
2017
|
7 회 인용
Modelling the brain as a n Apollonian network
G. L. Pellegrini, L. de Arcangelis 외 2명
ArXiv.org
|
2007
|
7 회 인용
More Alike than Different: Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder across Neuroimaging Modalities
Nils R. Winter, Ramona Leenings 외 29명
arXiv (Cornell University)
|
2021
|
7 회 인용
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures
V. Belov, Tracy Erwin-Grabner 외 64명
arXiv (Cornell University)
|
2022
|
7 회 인용
Multiple Operator-valued Kernel Learning
Hachem Kadri, Alain Rakotomamonjy 외 2명
arXiv (Cornell University)
|
2012
|
7 회 인용
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