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2020 – today
- 2024
[j9]Saidu Umar, Aboozar Taherkhani
:
PointCloud-At: Point Cloud Convolutional Neural Networks with Attention for 3D Data Processing. Sensors 24(19): 6446 (2024)- [c11]Abraham Etinosa Enobun, Uche Henry Anakwenze, Aboozar Taherkhani, Zacharias A. Anastassi, Fabio Caraffini, Hassan Eshkiki:
Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net. AIiH (2) 2024: 149-159 - [c10]Valentine Oleka, Seyyed Mohsen Zahedi, Aboozar Taherkhani, Reza Baserinia, S. Abolfazl Zahedi, Shengxiang Yang:
Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures. Intelligent Information Processing (2) 2024: 150-160 - [c9]Stephen S. Aremu, Aboozar Taherkhani, Chang Liu, Shengxiang Yang:
3D Object Reconstruction with Deep Learning. Intelligent Information Processing (2) 2024: 161-175 - [c8]Saneet Fulsunder, Saidu Umar, Aboozar Taherkhani, Chang Liu, Shengxiang Yang:
Hand Gesture Recognition Using a Multi-modal Deep Neural Network. Intelligent Information Processing (2) 2024: 189-203 - 2023
- [j8]Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity:
A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets. SN Comput. Sci. 4(6): 832 (2023) - 2020
- [j7]Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity:
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning. Neurocomputing 404: 351-366 (2020) - [j6]Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, Liam P. Maguire, T. Martin McGinnity:
A review of learning in biologically plausible spiking neural networks. Neural Networks 122: 253-272 (2020) - [j5]Aboozar Taherkhani, Georgina Cosma, Thomas Martin McGinnity:
Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern. IEEE Trans. Cogn. Dev. Syst. 12(3): 427-438 (2020) - [c7]Oluwaseyi Ogun, Mbetobong Enoh, Georgina Cosma, Aboozar Taherkhani, Vincenzo Madonna:
Enhancing Prediction in Cyclone Separators through Computational Intelligence. CEC 2020: 1-8 - [c6]Ali A. Alani, Georgina Cosma, Aboozar Taherkhani:
Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [j4]Aboozar Taherkhani, Georgina Cosma, T. Martin McGinnity:
Deep-FS: A feature selection algorithm for Deep Boltzmann Machines. Neurocomputing 322: 22-37 (2018) - [j3]Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire:
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5394-5407 (2018) - 2016
- [b1]Aboozar Taherkhani:
Learning and self-organisation in biologically plausible neural networks. Ulster University, UK, 2016 - 2015
- [j2]Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire:
DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3137-3149 (2015) - [c5]Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire:
EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons. ICONIP (2) 2015: 190-197 - [c4]Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire:
Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method. IJCNN 2015: 1-7 - 2014
- [c3]Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire:
A new biologically plausible supervised learning method for spiking neurons. ESANN 2014 - 2011
- [j1]Aboozar Taherkhani, Seyyed Ali Seyyedsalehi, Amir Homayoun Jafari:
Design of a chaotic neural network for training and retrieval of grayscale and binary patterns. Neurocomputing 74(17): 2824-2833 (2011) - 2010
- [c2]Masoumeh Azarpour, Seyyed Ali Seyyedsalehi, Aboozar Taherkhani:
Robust pattern recognition using chaotic dynamics in Attractor Recurrent Neural Network. IJCNN 2010: 1-6
2000 – 2009
- 2008
- [c1]Aboozar Taherkhani, Arash Mohammadi, Seyyed Ali Seyyedsalehi, Hamed Davande:
Design of a chaotic neural network by using chaotic nodes and NDRAM network. IJCNN 2008: 3500-3504
Coauthor Index
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