Anthony S. Maida 个人学术档案

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Amir TavanaeiAmazon在 amazon.com 的电子邮件经过验证
Nelly ElsayedUniversity of Cincinnati在 uc.edu 的电子邮件经过验证
Timothée MasquelierCNRS Researcher (DR2), Cerco (CNRS-UT3), TMBI (Univ. Toulouse)在 cnrs.fr 的电子邮件经过验证
Xiali (Sharon) HeiThe Center for Advanced Computer Studies, University of Louisiana at Lafayette在 louisiana.edu 的电子邮件经过验证
Cengiz GunayAssociate Professor, Georgia Gwinnett College在 ggc.edu 的电子邮件经过验证
Saeed Reza KheradpishehShahid Beheshti University在 sbu.ac.ir 的电子邮件经过验证
Matin HosseiniUniversity of Louisiana at lafayette, Flex logix在 louisiana.edu 的电子邮件经过验证
Nazmul ShahadatAssistant Professor at Truman State University在 truman.edu 的电子邮件经过验证
Majid HosseiniUniversity of Louisiana at lafayette在 louisiana.edu 的电子邮件经过验证
Vijay V RaghavanAlfred and Helen Lamson Endowed Professor in Computer Science, University of Louisiana at Lafayette在 louisiana.edu 的电子邮件经过验证
Murat Seçkin AyhanUniversity College London and Moorfields Eye Hospital在 ucl.ac.uk 的电子邮件经过验证
Md Fazle RabbyeBay Inc.在 ebay.com 的电子邮件经过验证
Yazhou TuAuburn University在 auburn.edu 的电子邮件经过验证
Md Imran HossenUniversity of Louisiana at Lafayette在 louisiana.edu 的电子邮件经过验证
Stuart C. ShapiroProfessor Emeritus of Computer Science and Engineering, University at Buffalo在 buffalo.edu 的电子邮件经过验证
Arun LakhotiaUniversity of Louisiana at Lafayette在 louisiana.edu 的电子邮件经过验证
Dr. Suresh GolcondaCACS, University of Louisiana at Lafayette在 cacs.louisiana.edu 的电子邮件经过验证
Benjamin A RowlandWake Forest School of Medicine在 wakehealth.edu 的电子邮件经过验证
Siva R VennaData Scientist at Circana在 louisiana.edu 的电子邮件经过验证
Insup LeeProfessor, Computer and Information Science, University of Pennsylvania在 cis.upenn.edu 的电子邮件经过验证

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Anthony S. Maida

School of Computing and Informatics, UL Lafayette

在 louisiana.edu 的电子邮件经过验证 - 首页

Neurocomputing Computational Neuroscience AI


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Deep learning in spiking neural networks A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida Neural networks 111, 47-63, 2019	1148	2019
Natural image bases to represent neuroimaging data A Gupta, M Ayhan, A Maida International conference on machine learning, 987-994, 2013	295	2013
Intensional concepts in propositional semantic networks AS Maida, SC Shapiro Cognitive science 6 (4), 291-330, 1982	233	1982
BP-STDP: Approximating backpropagation using spike timing dependent plasticity A Tavanaei, A Maida Neurocomputing 330, 39-47, 2019	225	2019
Deep quaternion networks CJ Gaudet, AS Maida 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018	198	2018
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	129	2018
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction MF Rabby, Y Tu, MI Hossen, I Lee, AS Maida, X Hei BMC Medical Informatics and Decision Making 21, 1-15, 2021	105	2021
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	77	2017
Deep gated recurrent and convolutional network hybrid model for univariate time series classification N Elsayed, AS Maida, M Bayoumi arXiv preprint arXiv:1812.07683, 2018	76	2018
Bio-inspired spiking convolutional neural network using layer-wise sparse coding and STDP learning A Tavanaei, AS Maida arXiv preprint arXiv:1611.03000, 2016	76	2016
A spiking network that learns to extract spike signatures from speech signals A Tavanaei, AS Maida Neurocomputing 240, 191-199, 2017	62	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	58	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	53	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	49	2016
Gated recurrent neural networks empirical utilization for time series classification N Elsayed, AS Maida, M Bayoumi 2019 International Conference on Internet of Things (iThings) and IEEE Green …, 2019	35	2019
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	33	2015
Maintaining mental models of agents who have existential misconceptions AS Maida Artificial Intelligence 50 (3), 331-383, 1991	31	1991
Representation learning using event-based STDP A Tavanaei, T Masquelier, A Maida Neural Networks 105, 294-303, 2018	30	2018
Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia AA Moustafa, AS Maida Cognitive Systems Research 8 (4), 262-281, 2007	28	2007
Training a hidden Markov model with a Bayesian spiking neural network A Tavanaei, AS Maida Journal of Signal Processing Systems 90, 211-220, 2018	26	2018

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