Aboozar Taherkhani

According to our database, Aboozar Taherkhani authored at least 21 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PointCloud-At: Point Cloud Convolutional Neural Networks with Attention for 3D Data Processing.

Saidu Umar, Aboozar Taherkhani

Sensors, October, 2024

Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures.

Valentine Oleka, Seyyed Mohsen Zahedi, Aboozar Taherkhani, Reza Baserinia, S. Abolfazl Zahedi, Shengxiang Yang

Proceedings of the Intelligent Information Processing XII, 2024

Hand Gesture Recognition Using a Multi-modal Deep Neural Network.

Saneet Fulsunder, Saidu Umar, Aboozar Taherkhani, Chang Liu, Shengxiang Yang

Proceedings of the Intelligent Information Processing XII, 2024

3D Object Reconstruction with Deep Learning.

Stephen S. Aremu, Aboozar Taherkhani, Chang Liu, Shengxiang Yang

Proceedings of the Intelligent Information Processing XII, 2024

Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net.

Abraham Etinosa Enobun, Uche Henry Anakwenze, Aboozar Taherkhani, Zacharias A. Anastassi, Fabio Caraffini, Hassan Eshkiki

Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2023

A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets.

Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity

SN Comput. Sci., November, 2023

2020

Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern.

Aboozar Taherkhani, Georgina Cosma, Thomas Martin McGinnity

IEEE Trans. Cogn. Dev. Syst., 2020

A review of learning in biologically plausible spiking neural networks.

Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, Liam P. Maguire, T. Martin McGinnity

Neural Networks, 2020

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

Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity

Neurocomputing, 2020

Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning.

Ali A. Alani, Georgina Cosma, Aboozar Taherkhani

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancing Prediction in Cyclone Separators through Computational Intelligence.

Oluwaseyi Ogun, Mbetobong Enoh, Georgina Cosma, Aboozar Taherkhani, Vincenzo Madonna

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.

Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Aboozar Taherkhani, Georgina Cosma, T. Martin McGinnity

Neurocomputing, 2018

2016

Learning and self-organisation in biologically plausible neural networks.

Aboozar Taherkhani

PhD thesis, 2016

2015

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.

Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire

IEEE Trans. Neural Networks Learn. Syst., 2015

Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method.

Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons.

Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

A new biologically plausible supervised learning method for spiking neurons.

Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire

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.

Aboozar Taherkhani, Seyyed Ali Seyyedsalehi, Amir Homayoun Jafari

Neurocomputing, 2011

2010

Robust pattern recognition using chaotic dynamics in Attractor Recurrent Neural Network.

Masoumeh Azarpour, Seyyed Ali Seyyedsalehi, Aboozar Taherkhani

Proceedings of the International Joint Conference on Neural Networks, 2010

2008

Design of a chaotic neural network by using chaotic nodes and NDRAM network.

Aboozar Taherkhani, Arash Mohammadi, Seyyed Ali Seyyedsalehi, Hamed Davande

Proceedings of the International Joint Conference on Neural Networks, 2008