Aboozar Taherkhani

Orcid: 0000-0002-3627-6362

According to our database1, Aboozar Taherkhani authored at least 16 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets.
SN Comput. Sci., November, 2023

2020
Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern.
IEEE Trans. Cogn. Dev. Syst., 2020

A review of learning in biologically plausible spiking neural networks.
Neural Networks, 2020

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning.
Neurocomputing, 2020

Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancing Prediction in Cyclone Separators through Computational Intelligence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2018
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Deep-FS: A feature selection algorithm for Deep Boltzmann Machines.
Neurocomputing, 2018

2016
Learning and self-organisation in biologically plausible neural networks.
PhD thesis, 2016

2015
DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2015

Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
A new biologically plausible supervised learning method for spiking neurons.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2011
Design of a chaotic neural network for training and retrieval of grayscale and binary patterns.
Neurocomputing, 2011

2010
Robust pattern recognition using chaotic dynamics in Attractor Recurrent Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2010

2008
Design of a chaotic neural network by using chaotic nodes and NDRAM network.
Proceedings of the International Joint Conference on Neural Networks, 2008


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