Amirhossein Tavanaei
Amirhossein Tavanaei
Senior AI Scientist, Procter and Gamble
Verified email at louisiana.edu - Homepage
Title
Cited by
Cited by
Year
Deep learning in spiking neural networks
A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida
Neural Networks 111, 47-63, 2019
2972019
BP-STDP: Approximating backpropagation using spike timing dependent plasticity
A Tavanaei, A Maida
Neurocomputing 330, 39-47, 2019
522019
Bio-inspired spiking convolutional neural network using layer-wise sparse coding and STDP learning
A Tavanaei, AS Maida
arXiv preprint arXiv:1611.03000, 2016
442016
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
402017
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
362018
A spiking network that learns to extract spike signatures from speech signals
A Tavanaei, AS Maida
Neurocomputing 240, 191-199, 2017
362017
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
312016
Bio-inspired multi-layer spiking neural network extracts discriminative features from speech signals
A Tavanaei, A Maida
International conference on neural information processing, 899-908, 2017
262017
Profiling drilling fluid’s invasion using scanning electron microscopy: implications for bridging and wellbore strengthening effects
S Salehi, S Hussmann, M Karimi, CP Ezeakacha, A Tavanaei
SPE Deepwater Drilling and Completions Conference, 2014
262014
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
252018
Representation learning using event-based STDP
A Tavanaei, T Masquelier, A Maida
Neural Networks 105, 294-303, 2018
172018
Post frac gas production through shale capillary activation
A Hayatdavoudi, MA Boamah, A Tavnaei, KG Sawant, F Boukadi
SPE Production and Operations Symposium, 2015
132015
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
122016
A minimal spiking neural network to rapidly train and classify handwritten digits in binary and 10-digit tasks
A Tavanaei, AS Maida
International journal of advanced research in artificial intelligence 4 (7), 1-8, 2015
122015
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
122015
Training a hidden Markov model with a Bayesian spiking neural network
A Tavanaei, AS Maida
Journal of Signal Processing Systems 90 (2), 211-220, 2018
102018
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
102011
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
62017
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
62017
A Deep Learning Model for Predicting Tumor Suppressor Genes and Oncogenes from PDB Structure. bioRxiv 1–10
A Tavanaei, N Anandanadarajah, AS Maida, R Loganantharaj
32017
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Articles 1–20