| Deep learning in spiking neural networks A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida Neural Networks 111, 47-63, 2019 | 297 | 2019 |
| BP-STDP: Approximating backpropagation using spike timing dependent plasticity A Tavanaei, A Maida Neurocomputing 330, 39-47, 2019 | 52 | 2019 |
| Bio-inspired spiking convolutional neural network using layer-wise sparse coding and STDP learning A Tavanaei, AS Maida arXiv preprint arXiv:1611.03000, 2016 | 44 | 2016 |
| 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 | 40 | 2017 |
| 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 | 36 | 2018 |
| A spiking network that learns to extract spike signatures from speech signals A Tavanaei, AS Maida Neurocomputing 240, 191-199, 2017 | 36 | 2017 |
| 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 | 31 | 2016 |
| 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 | 26 | 2017 |
| 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 | 26 | 2014 |
| 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 | 25 | 2018 |
| Representation learning using event-based STDP A Tavanaei, T Masquelier, A Maida Neural Networks 105, 294-303, 2018 | 17 | 2018 |
| Post frac gas production through shale capillary activation A Hayatdavoudi, MA Boamah, A Tavnaei, KG Sawant, F Boukadi SPE Production and Operations Symposium, 2015 | 13 | 2015 |
| 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 | 12 | 2016 |
| 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 | 12 | 2015 |
| 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 | 12 | 2015 |
| 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 | 10 | 2018 |
| 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 | 10 | 2011 |
| 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 | 6 | 2017 |
| 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 | 6 | 2017 |
| 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 | 3 | 2017 |
Anthony S. MaidaSchool of Computing and Informatics, UL LafayetteVerified email at louisiana.edu
