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ORCIDAmirhossein Tavanaei
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Journal Articles
- 2019
[j6]Siva R. Venna
, Amirhossein Tavanaei, Raju N. Gottumukkala, Vijay V. Raghavan, Anthony S. Maida, Stephen Nichols:
A Novel Data-Driven Model for Real-Time Influenza Forecasting. IEEE Access 7: 7691-7701 (2019)- [j5]Amirhossein Tavanaei, Anthony Maida:
BP-STDP: Approximating backpropagation using spike timing dependent plasticity. Neurocomputing 330: 39-47 (2019) - [j4]Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida:
Deep learning in spiking neural networks. Neural Networks 111: 47-63 (2019) - 2018
- [j3]Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Representation learning using event-based STDP. Neural Networks 105: 294-303 (2018) - [j2]Amirhossein Tavanaei, Anthony S. Maida:
Training a Hidden Markov Model with a Bayesian Spiking Neural Network. J. Signal Process. Syst. 90(2): 211-220 (2018) - 2017
- [j1]Amirhossein Tavanaei, Anthony S. Maida:
A spiking network that learns to extract spike signatures from speech signals. Neurocomputing 240: 191-199 (2017)
Conference and Workshop Papers
- 2018
- [c12]Amirhossein Tavanaei, Raju Gottumukkala, Anthony S. Maida, Vijay V. Raghavan:
Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. IJCNN 2018: 1-8 - [c11]Amirhossein Tavanaei, Zachary Kirby, Anthony S. Maida:
Training Spiking ConvNets by STDP and Gradient Descent. IJCNN 2018: 1-8 - 2017
- [c10]Amirhossein Tavanaei, Nishanth Anandanadarajah, Anthony S. Maida, Rasiah Loganantharaj:
A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure. BIBM 2017: 613-617 - [c9]Amirhossein Tavanaei, Anthony S. Maida:
Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals. ICONIP (6) 2017: 899-908 - [c8]Amirhossein Tavanaei, Anthony S. Maida:
Multi-layer unsupervised learning in a spiking convolutional neural network. IJCNN 2017: 2023-2030 - 2016
- [c7]Amirhossein Tavanaei, Anthony S. Maida, Arun Kaniymattam, Rasiah Loganantharaj:
Towards recognition of protein function based on its structure using deep convolutional networks. BIBM 2016: 145-149 - [c6]Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Acquisition of visual features through probabilistic spike-timing-dependent plasticity. IJCNN 2016: 307-314 - 2015
- [c5]Amirhossein Tavanaei, Anthony S. Maida:
Studying the interaction of a hidden Markov model with a Bayesian spiking neural network. MLSP 2015: 1-6 - 2012
- [c4]Amirhossein Tavanaei, Alireza Ghasemi, Mohammad Tavanaei, Hossein Sameti, Mohammad Taghi Manzuri:
Support Vector Data Description for Spoken Digit Recognition. BIOSIGNALS 2012: 32-37 - [c3]Seyed Hamidreza Mohammadi, Hossein Sameti, Mahsa Sadat Elyasi Langarani, Amirhossein Tavanaei:
KNNDIST: A Non-Parametric Distance Measure for Speaker Segmentation. INTERSPEECH 2012: 2282-2285 - 2011
- [c2]Seyed Hamidreza Mohammadi, Hossein Sameti, Amirhossein Tavanaei, Ali Soltani-Farani:
Filter-bank design based on dependencies between frequency components and phoneme characteristics. EUSIPCO 2011: 2142-2145 - [c1]Amirhossein Tavanaei, Hossein Sameti, Seyed Hamidreza Mohammadi:
False alarm reduction by improved filler model and post-processing in speech keyword spotting. MLSP 2011: 1-5
Informal and Other Publications
- 2020
- [i9]Amirhossein Tavanaei:
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI. CoRR abs/2007.06712 (2020) - 2018
- [i8]Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony S. Maida:
Deep Learning in Spiking Neural Networks. CoRR abs/1804.08150 (2018) - 2017
- [i7]Amirhossein Tavanaei, Anthony S. Maida:
Bio-Inspired Multi-Layer Spiking Neural Network Extracts Discriminative Features from Speech Signals. CoRR abs/1706.03170 (2017) - [i6]Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Representation Learning using Event-based STDP. CoRR abs/1706.06699 (2017) - [i5]Amirhossein Tavanaei, Anthony S. Maida:
BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity. CoRR abs/1711.04214 (2017) - 2016
- [i4]Amirhossein Tavanaei, Anthony S. Maida:
A Spiking Network that Learns to Extract Spike Signatures from Speech Signals. CoRR abs/1606.00802 (2016) - [i3]Amirhossein Tavanaei, Anthony S. Maida:
Training a Hidden Markov Model with a Bayesian Spiking Neural Network. CoRR abs/1606.00825 (2016) - [i2]Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Acquisition of Visual Features Through Probabilistic Spike-Timing-Dependent Plasticity. CoRR abs/1606.01102 (2016) - [i1]Amirhossein Tavanaei, Anthony S. Maida:
Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning. CoRR abs/1611.03000 (2016)
Coauthor Index
aka: Anthony Maida
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