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Saeed Afshar
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2020 – today
- 2024
- [c12]Ali Mehrabi, Nik Dennler, Yeshwanth Bethi, André van Schaik, Saeed Afshar:
Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN). ISIE 2024: 1-8 - [i14]Sami Arja, Alexandre Marcireau, Saeed Afshar, Bharath Ramesh, Gregory Cohen:
Unsupervised Motion Segmentation for Neuromorphic Aerial Surveillance. CoRR abs/2405.15209 (2024) - 2023
- [c11]Sami Arja, Alexandre Marcireau, Richard L. Balthazor, Matthew G. McHarg, Saeed Afshar, Gregory Cohen:
Density Invariant Contrast Maximization for Neuromorphic Earth Observations. CVPR Workshops 2023: 3984-3994 - [c10]Ali Mehrabi
, Yeshwanth Bethi
, André van Schaik, Saeed Afshar:
An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers. INNS DLIA@IJCNN 2023: 407-414 - [i13]Sami Arja, Alexandre Marcireau, Richard L. Balthazor, Matthew G. McHarg, Saeed Afshar, Gregory Cohen:
Density Invariant Contrast Maximization for Neuromorphic Earth Observations. CoRR abs/2304.14125 (2023) - [i12]Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Andrew Wabnitz, Saeed Afshar:
Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. CoRR abs/2305.19468 (2023) - [i11]Sérgio F. Chevtchenko
, Yeshwanth Bethi
, Teresa Bernarda Ludermir, Saeed Afshar:
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. CoRR abs/2307.02947 (2023) - 2022
- [j5]Yeshwanth Bethi
, Ying Xu
, Gregory Cohen
, André van Schaik
, Saeed Afshar
:
An Optimized Deep Spiking Neural Network Architecture Without Gradients. IEEE Access 10: 97912-97929 (2022) - [i10]Ying Xu, Samalika Lakmali Perera, Yeshwanth Bethi
, Saeed Afshar, André van Schaik
:
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model. CoRR abs/2212.07136 (2022) - 2021
- [c9]Md Atiqul Islam, Ying Xu, Saeed Afshar, Travis Monk, André van Schaik
:
Investigation of Auditory Nerve Model and Conventional Approaches in Noise-Robust Speaker Identification. ICFSP 2021: 12-16 - [i9]Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar:
An optimised deep spiking neural network architecture without gradients. CoRR abs/2109.12813 (2021) - 2020
- [j4]Saeed Afshar
, Nicholas Ralph
, Ying Xu
, Jonathan Tapson
, André van Schaik
, Gregory Cohen
:
Event-Based Feature Extraction Using Adaptive Selection Thresholds. Sensors 20(6): 1600 (2020) - [c8]Tobi Delbrück, Ibrahim Abe M. Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang
, Amine Bermak, Rui Graca, Luis A. Camuñas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabé Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen J. Carey, José M. de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula López, Melika Payvand, Advait Madhavan, Eric R. Fossum, Juan Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy G. Constandinou, Alexander Serb, Ricardo Carmona-Galán, Robert Nawrocki, Walter D. Leon-Salas:
Lessons Learned the Hard Way. ISCAS 2020: 1-18
2010 – 2019
- 2019
- [c7]Ying Xu, Saeed Afshar, Ram Kuber Singh, Runchun Wang, André van Schaik
, Tara Julia Hamilton
:
A Binaural Sound Localization System using Deep Convolutional Neural Networks. ISCAS 2019: 1-5 - [i8]Saeed Afshar, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen:
Event-based Feature Extraction Using Adaptive Selection Thresholds. CoRR abs/1907.07853 (2019) - [i7]Saeed Afshar, Andrew P. Nicholson, André van Schaik
, Gregory Cohen:
Event-based Object Detection and Tracking for Space Situational Awareness. CoRR abs/1911.08730 (2019) - 2018
- [j3]Gregory Cohen
, Saeed Afshar, Garrick Orchard
, Jonathan Tapson, Ryad Benosman
, André van Schaik
:
Spatial and Temporal Downsampling in Event-Based Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5030-5044 (2018) - [c6]Ying Xu, Saeed Afshar, Ram Kuber Singh, Tara Julia Hamilton
, Runchun Wang, André van Schaik
:
A Machine Hearing System for Binaural Sound Localization based on Instantaneous Correlation. ISCAS 2018: 1-5 - [c5]Satrajit Chakraborty, Priyanka P, Sarthak Gupta, Saeed Afshar, Tara Julia Hamilton
, Chetan Singh Thakur:
Neuromorphic Object Tracking Architecture, Based on Compound Eyes, and Implementation on FPGA. MWSCAS 2018: 668-671 - 2017
- [c4]Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik
:
EMNIST: Extending MNIST to handwritten letters. IJCNN 2017: 2921-2926 - [i6]Gregory Cohen
, Saeed Afshar, Jonathan Tapson, André van Schaik:
EMNIST: an extension of MNIST to handwritten letters. CoRR abs/1702.05373 (2017) - 2015
- [j2]Saeed Afshar, Libin George, Chetan Singh Thakur, Jonathan Tapson, André van Schaik
, Philip de Chazal
, Tara Julia Hamilton
:
Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. IEEE Trans. Biomed. Circuits Syst. 9(2): 188-196 (2015) - [i5]Chetan Singh Thakur, Runchun Wang, Saeed Afshar, Tara Julia Hamilton
, Jonathan Tapson, André van Schaik:
An Online Learning Algorithm for Neuromorphic Hardware Implementation. CoRR abs/1505.02495 (2015) - 2014
- [j1]Tara Julia Hamilton
, Saeed Afshar, André van Schaik
, Jonathan Tapson:
Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits. Proc. IEEE 102(5): 843-859 (2014) - [c3]Richard James Sofatzis, Saeed Afshar, Tara Julia Hamilton
:
Rotationally invariant vision recognition with neuromorphic transformation and learning networks. ISCAS 2014: 469-472 - [c2]Richard James Sofatzis, Saeed Afshar, Tara Julia Hamilton
:
The Synaptic Kernel Adaptation Network. ISCAS 2014: 2077-2080 - [i4]Saeed Afshar, Libin George, Jonathan Tapson, André van Schaik, Tara Julia Hamilton
:
Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron. CoRR abs/1408.1245 (2014) - [i3]Saeed Afshar, Libin George, Jonathan Tapson, André van Schaik, Philip de Chazal, Tara Julia Hamilton
:
Turn Down that Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. CoRR abs/1411.2821 (2014) - 2013
- [i2]Jonathan Tapson, Gregory Cohen, Saeed Afshar, Klaus M. Stiefel, Y. Buskila, Runchun Wang, Tara Julia Hamilton
, André van Schaik:
Synthesis of neural networks for spatio-temporal spike pattern recognition and processing. CoRR abs/1304.7118 (2013) - [i1]Saeed Afshar, Gregory Cohen, Runchun Wang, André van Schaik, Jonathan Tapson, Torsten Lehmann, Tara Julia Hamilton
:
The Ripple Pond: Enabling Spiking Networks to See. CoRR abs/1306.3036 (2013) - 2012
- [c1]Saeed Afshar, Omid Kavehei
, André van Schaik
, Jonathan Tapson
, Stan Skafidas
, Tara Julia Hamilton
:
Emergence of competitive control in a memristor-based neuromorphic circuit. IJCNN 2012: 1-8
Coauthor Index
aka: Tara Julia Hamilton
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last updated on 2024-08-05 21:16 CEST by the dblp team
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