Design of a chaotic neural network by using chaotic nodes and NDRAM network. - Aboozar Taherkhani; Arash Mohammadi 001; Seyyed Ali Seyyedsalehi; Hamed Davande (IJCNN, 2008)

Robust pattern recognition using chaotic dynamics in Attractor Recurrent Neural Network. - Masoumeh Azarpour; Seyyed Ali Seyyedsalehi; Aboozar Taherkhani (IJCNN, 2010)

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)

A new biologically plausible supervised learning method for spiking neurons. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (ESANN, 2014)

EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (ICONIP (2), 2015)

Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (IJCNN, 2015)

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (IEEE Trans. Neural Networks Learn. Syst., 2015)

Learning and self-organisation in biologically plausible neural networks. - Aboozar Taherkhani (2016)

Deep-FS: A feature selection algorithm for Deep Boltzmann Machines. - Aboozar Taherkhani; Georgina Cosma; T. Martin McGinnity (Neurocomputing, 2018)

A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (IEEE Trans. Neural Networks Learn. Syst., 2018)

Enhancing Prediction in Cyclone Separators through Computational Intelligence. - Oluwaseyi Ogun; Mbetobong Enoh; Georgina Cosma; Aboozar Taherkhani; Vincenzo Madonna (CEC, 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 (IJCNN, 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)

A review of learning in biologically plausible spiking neural networks. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Georgina Cosma; Liam P. Maguire; T. Martin McGinnity (Neural Networks, 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 Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets. - Aboozar Taherkhani; Georgina Cosma; T. M. McGinnity (SN Comput. Sci., 2023)

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 (AIiH (2), 2024)

3D Object Reconstruction with Deep Learning. - Stephen S. Aremu; Aboozar Taherkhani; Chang Liu; Shengxiang Yang (IIP (2), 2024)

Hand Gesture Recognition Using a Multi-modal Deep Neural Network. - Saneet Fulsunder; Saidu Umar; Aboozar Taherkhani; Chang Liu; Shengxiang Yang (IIP (2), 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 (IIP (2), 2024)

PointCloud-At: Point Cloud Convolutional Neural Networks with Attention for 3D Data Processing. - Saidu Umar; Aboozar Taherkhani (Sensors, 2024)

Privacy-Preserving Generative Models: A Comprehensive Survey. - Debalina Padariya; Isabel Wagner; Aboozar Taherkhani; Eerke A. Boiten (CoRR, 2025)