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Neurocomputing
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February 6, 2018
A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data
Guillem Collell, Drazen Prelec, Kaustubh R Patil
Neurocomputing
|
June 14, 2021
Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images
Kai Hu, Yingjie Huang, Wei Huang, et al.
Neurocomputing
|
December 17, 2008
Combining synaptic and cellular resonance in a feed-forward neuronal network
Jonathan D Drover, Vahid Tohidi, Amitabha Bose, et al.
Neurocomputing
|
October 25, 2007
Short-Term Plasticity in a Computational Model of the Tail-Withdrawal Circuit in Aplysia
Douglas A Baxter, John H Byrne
Neurocomputing
|
September 1, 2020
Multi-path x-D Recurrent Neural Networks for Collaborative Image Classification
Riqiang Gao, Yuankai Huo, Shunxing Bao, et al.
Neurocomputing
|
April 1, 2020
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
Haider Raza, Dheeraj Rathee, Shang-Ming Zhou, et al.
Neurocomputing
|
November 30, 2020
Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions
Emmanouil Giannakakis, Cheol E Han, Bernd Weber, et al.
Neurocomputing
|
December 8, 2015
Choosing ℓ <sup></sup> norms in high-dimensional spaces based on hub analysis
Arthur Flexer, Dominik Schnitzer
Neurocomputing
|
July 10, 2012
Computational Analysis of Muscular Dystrophy Sub-types Using A Novel Integrative Scheme
Chen Wang, Sook Ha, Jianhua Xuan, et al.
Neurocomputing
|
June 30, 2026
Automated Behavior Analysis in the Novel Object Recognition Test
Emily Alfs-Votipka, Bhavana Sivayokan, Aliva Bakshi, et al.
Page
of 11
Search research articles
Search
Showing results (31-40 of 102) with videos related to
Sort By:
Page
of 11
Neurocomputing
|
February 6, 2018
A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data
Guillem Collell, Drazen Prelec, Kaustubh R Patil
Neurocomputing
|
June 14, 2021
Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images
Kai Hu, Yingjie Huang, Wei Huang, et al.
Neurocomputing
|
December 17, 2008
Combining synaptic and cellular resonance in a feed-forward neuronal network
Jonathan D Drover, Vahid Tohidi, Amitabha Bose, et al.
Neurocomputing
|
October 25, 2007
Short-Term Plasticity in a Computational Model of the Tail-Withdrawal Circuit in Aplysia
Douglas A Baxter, John H Byrne
Neurocomputing
|
September 1, 2020
Multi-path x-D Recurrent Neural Networks for Collaborative Image Classification
Riqiang Gao, Yuankai Huo, Shunxing Bao, et al.
Neurocomputing
|
April 1, 2020
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
Haider Raza, Dheeraj Rathee, Shang-Ming Zhou, et al.
Neurocomputing
|
November 30, 2020
Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions
Emmanouil Giannakakis, Cheol E Han, Bernd Weber, et al.
Neurocomputing
|
December 8, 2015
Choosing ℓ <sup></sup> norms in high-dimensional spaces based on hub analysis
Arthur Flexer, Dominik Schnitzer
Neurocomputing
|
July 10, 2012
Computational Analysis of Muscular Dystrophy Sub-types Using A Novel Integrative Scheme
Chen Wang, Sook Ha, Jianhua Xuan, et al.
Neurocomputing
|
June 30, 2026
Automated Behavior Analysis in the Novel Object Recognition Test
Emily Alfs-Votipka, Bhavana Sivayokan, Aliva Bakshi, et al.
Page
of 11