Saeed Reza Kheradpisheh

According to our database, Saeed Reza Kheradpisheh authored at least 21 papers between 2013 and 2023.

Collaborative distances:

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

2023

Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems.

Mohsen Pirizadeh, Hadi Farahani, Saeed Reza Kheradpisheh

Knowl. Inf. Syst., October, 2023

Spike time displacement-based error backpropagation in convolutional spiking neural networks.

Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier

Neural Comput. Appl., July, 2023

Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN.

Neda Rahimpour Anaraki, Alireza Azadbakht, Maryam Tahmasbi, Hadi Farahani, Saeed Reza Kheradpisheh, Alireza Javaheri

CoRR, 2023

Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP.

Arsham Gholamzadeh Khoee, Alireza Javaheri, Saeed Reza Kheradpisheh, Mohammad Ganjtabesh

CoRR, 2023

2022

BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning.

Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier

Neural Process. Lett., 2022

Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing.

Alireza Azadbakht, Saeed Reza Kheradpisheh, Ismail Khalfaoui Hassani, Timothée Masquelier

CoRR, 2022

Spiking Neural Networks Trained via Proxy.

Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier

IEEE Access, 2022

BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks.

Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri, Saeed Reza Kheradpisheh

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks.

Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier

Neurocomputing, 2021

2020

Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron.

Saeed Reza Kheradpisheh, Timothée Masquelier

Int. J. Neural Syst., 2020

2019

Deep learning in spiking neural networks.

Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida

Neural Networks, 2019

S4NN: temporal backpropagation for spiking neural networks with one spike per neuron.

Saeed Reza Kheradpisheh, Timothée Masquelier

CoRR, 2019

2018

First-Spike-Based Visual Categorization Using Reward-Modulated STDP.

Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh

IEEE Trans. Neural Networks Learn. Syst., 2018

STDP-based spiking deep convolutional neural networks for object recognition.

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier

Neural Networks, 2018

Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection.

Timothée Masquelier, Saeed Reza Kheradpisheh

Frontiers Comput. Neurosci., 2018

2016

Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition.

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier

Neurocomputing, 2016

Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder.

Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier

Frontiers Comput. Neurosci., 2016

STDP-based spiking deep neural networks for object recognition.

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier

CoRR, 2016

2015

Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition.

Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier

CoRR, 2015

2014

Mixture of feature specified experts.

Saeed Reza Kheradpisheh, Fatemeh Sharifizadeh, Abbas Nowzari-Dalini, Mohammad Ganjtabesh, Reza Ebrahimpour

Inf. Fusion, 2014

2013

Combining classifiers using nearest decision prototypes.

Saeed Reza Kheradpisheh, Fatemeh Behjati-Ardakani, Reza Ebrahimpour

Appl. Soft Comput., 2013