Amir Tavanaei
Amir Tavanaei
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Cited by
Deep learning in spiking neural networks
A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida
Neural networks 111, 47-63, 2019
BP-STDP: Approximating backpropagation using spike timing dependent plasticity
A Tavanaei, A Maida
Neurocomputing 330, 39-47, 2019
A novel data-driven model for real-time influenza forecasting
SR Venna, A Tavanaei, RN Gottumukkala, VV Raghavan, AS Maida, ...
Ieee Access 7, 7691-7701, 2018
Multi-layer unsupervised learning in a spiking convolutional neural network
A Tavanaei, AS Maida
2017 international joint conference on neural networks (IJCNN), 2023-2030, 2017
Bio-inspired spiking convolutional neural network using layer-wise sparse coding and STDP learning
A Tavanaei, AS Maida
arXiv preprint arXiv:1611.03000, 2016
A spiking network that learns to extract spike signatures from speech signals
A Tavanaei, AS Maida
Neurocomputing 240, 191-199, 2017
Bio-inspired multi-layer spiking neural network extracts discriminative features from speech signals
A Tavanaei, A Maida
Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017
Training spiking convnets by stdp and gradient descent
A Tavanaei, Z Kirby, AS Maida
2018 international joint conference on neural networks (IJCNN), 1-8, 2018
Acquisition of visual features through probabilistic spike-timing-dependent plasticity
A Tavanaei, T Masquelier, AS Maida
2016 International Joint Conference on Neural Networks (IJCNN), 307-314, 2016
A minimal spiking neural network to rapidly train and classify handwritten digits in binary and 10-digit tasks
A Tavanaei, AS Maida
Int. J. Adv. Res. Artif. Intell 4 (7), 1-8, 2015
Representation learning using event-based STDP
A Tavanaei, T Masquelier, A Maida
Neural Networks 105, 294-303, 2018
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI
A Tavanaei
Arxiv, 2020
Profiling drilling fluid’s invasion using scanning electron microscopy: implications for bridging and wellbore strengthening effects
S Salehi, S Hussmann, M Karimi, C Ezeakacha, A Tavanaei
SPE Deepwater Drilling and Completions Conference, D021S009R004, 2014
Training a hidden Markov model with a Bayesian spiking neural network
A Tavanaei, AS Maida
Journal of Signal Processing Systems 90, 211-220, 2018
Pore, throat, and grain detection for rock sem images using digitalwatershed image segmentation algorithm
A Tavanaei, S Salehi
Journal of Porous Media 18 (5), 2015
A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure
A Tavanaei, N Anandanadarajah, A Maida, R Loganantharaj
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
Towards recognition of protein function based on its structure using deep convolutional networks
A Tavanaei, AS Maida, A Kaniymattam, R Loganantharaj
2016 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2016
Post frac gas production through shale capillary activation
A Hayatdavoudi, MA Boamah, A Tavnaei, KG Sawant, F Boukadi
SPE Oklahoma City Oil and Gas Symposium/Production and Operations Symposium …, 2015
Mel-scaled discrete wavelet transform and dynamic features for the Persian phoneme recognition
A Tavanaei, MT Manzuri, H Sameti
2011 international symposium on artificial intelligence and signal …, 2011
Unsupervised learning to rank aggregation using parameterized function optimization
A Tavanaei, R Gottumukkalay, AS Maida, VV Raghavan
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
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