Amirhossein Tavanaei

Orcid: 0000-0002-6482-440X

According to our database1, Amirhossein Tavanaei authored at least 20 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI.
CoRR, 2020

2019
Deep learning in spiking neural networks.
Neural Networks, 2019

BP-STDP: Approximating backpropagation using spike timing dependent plasticity.
Neurocomputing, 2019

A Novel Data-Driven Model for Real-Time Influenza Forecasting.
IEEE Access, 2019

2018
Training a Hidden Markov Model with a Bayesian Spiking Neural Network.
J. Signal Process. Syst., 2018

Representation learning using event-based STDP.
Neural Networks, 2018

Training Spiking ConvNets by STDP and Gradient Descent.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A spiking network that learns to extract spike signatures from speech signals.
Neurocomputing, 2017

Multi-layer unsupervised learning in a spiking convolutional neural network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning.
CoRR, 2016

Acquisition of visual features through probabilistic spike-timing-dependent plasticity.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Towards recognition of protein function based on its structure using deep convolutional networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Studying the interaction of a hidden Markov model with a Bayesian spiking neural network.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2012
KNNDIST: A Non-Parametric Distance Measure for Speaker Segmentation.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Support Vector Data Description for Spoken Digit Recognition.
Proceedings of the BIOSIGNALS 2012, 2012

2011
False alarm reduction by improved filler model and post-processing in speech keyword spotting.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Filter-bank design based on dependencies between frequency components and phoneme characteristics.
Proceedings of the 19th European Signal Processing Conference, 2011


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