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Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments

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Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments

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Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Mixed-Precision Deep Learning Based on Computational Memory

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Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network

Mixed-Precision Deep Learning Based on Computational Memory

Crowding and the Architecture of the Visual System

Multilingual Training and Adaptation in Speech Recognition

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning

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Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Temporal Spiking Recurrent Neural Network for Action Recognition

Adaptive Mitigation: Identification of the Dynamic Drivers of Effective Policy during the COVID-19 Pandemic