Amirhossein Tavanaei

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI.

Amirhossein Tavanaei

CoRR, 2020

2019

Deep learning in spiking neural networks.

Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida

Neural Networks, 2019

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

Amirhossein Tavanaei, Anthony Maida

Neurocomputing, 2019

A Novel Data-Driven Model for Real-Time Influenza Forecasting.

Siva R. Venna, Amirhossein Tavanaei, Raju N. Gottumukkala, Vijay V. Raghavan, Anthony S. Maida, Stephen Nichols

IEEE Access, 2019

2018

Training a Hidden Markov Model with a Bayesian Spiking Neural Network.

Amirhossein Tavanaei, Anthony S. Maida

J. Signal Process. Syst., 2018

Representation learning using event-based STDP.

Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida

Neural Networks, 2018

Training Spiking ConvNets by STDP and Gradient Descent.

Amirhossein Tavanaei, Zachary Kirby, Anthony S. Maida

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization.

Amirhossein Tavanaei, Raju Gottumukkala, Anthony S. Maida, Vijay V. Raghavan

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

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

Amirhossein Tavanaei, Anthony S. Maida

Neurocomputing, 2017

Multi-layer unsupervised learning in a spiking convolutional neural network.

Amirhossein Tavanaei, Anthony S. Maida

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals.

Amirhossein Tavanaei, Anthony S. Maida

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure.

Amirhossein Tavanaei, Nishanth Anandanadarajah, Anthony S. Maida, Rasiah Loganantharaj

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.

Amirhossein Tavanaei, Anthony S. Maida

CoRR, 2016

Acquisition of visual features through probabilistic spike-timing-dependent plasticity.

Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Towards recognition of protein function based on its structure using deep convolutional networks.

Amirhossein Tavanaei, Anthony S. Maida, Arun Kaniymattam, Rasiah Loganantharaj

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.

Amirhossein Tavanaei, Anthony S. Maida

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2012

KNNDIST: A Non-Parametric Distance Measure for Speaker Segmentation.

Seyed Hamidreza Mohammadi, Hossein Sameti, Mahsa Sadat Elyasi Langarani, Amirhossein Tavanaei

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Support Vector Data Description for Spoken Digit Recognition.

Amirhossein Tavanaei, Alireza Ghasemi, Mohammad Tavanaei, Hossein Sameti, Mohammad Taghi Manzuri

Proceedings of the BIOSIGNALS 2012, 2012

2011

False alarm reduction by improved filler model and post-processing in speech keyword spotting.

Amirhossein Tavanaei, Hossein Sameti, Seyed Hamidreza Mohammadi

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.

Seyed Hamidreza Mohammadi, Hossein Sameti, Amirhossein Tavanaei, Ali Soltani-Farani

Proceedings of the 19th European Signal Processing Conference, 2011