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Anthony S Maida

Showing results (1-10 of 6) with videos related to

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Biological Cybernetics|November 12, 2005
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networksCengiz Günay, Anthony S Maida
Neural Networks : the Official Journal of the International Neural Network Society|July 10, 2003
Temporal binding as an inducer for connectionist recruitment learning over delayed linesCengiz Günay, Anthony S Maida
Sensors (Basel, Switzerland)|December 31, 2025
Analyzing Parameter-Efficient Convolutional Neural Network Architectures for Visual ClassificationNazmul Shahadat, Anthony S Maida
Neural Networks : the Official Journal of the International Neural Network Society|April 3, 2022
Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networksAnthony Triche, Anthony S Maida, Ashok Kumar
BMC Medical Informatics and Decision Making|February 6, 2024
A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metricSai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, et al.
BMC Medical Informatics and Decision Making|March 17, 2021
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose predictionMd Fazle Rabby, Yazhou Tu, Md Imran Hossen, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Biological Cybernetics|November 12, 2005
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networksCengiz Günay, Anthony S Maida
Neural Networks : the Official Journal of the International Neural Network Society|July 10, 2003
Temporal binding as an inducer for connectionist recruitment learning over delayed linesCengiz Günay, Anthony S Maida
Sensors (Basel, Switzerland)|December 31, 2025
Analyzing Parameter-Efficient Convolutional Neural Network Architectures for Visual ClassificationNazmul Shahadat, Anthony S Maida
Neural Networks : the Official Journal of the International Neural Network Society|April 3, 2022
Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networksAnthony Triche, Anthony S Maida, Ashok Kumar
BMC Medical Informatics and Decision Making|February 6, 2024
A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metricSai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, et al.
BMC Medical Informatics and Decision Making|March 17, 2021
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose predictionMd Fazle Rabby, Yazhou Tu, Md Imran Hossen, et al.
Pageof 1