Amirhossein Tavanaei

发表

A novel data-driven model for real-time influenza forecasting

Vijay V. Raghavan, Stephen Nichols, Anthony S. Maida, 2017, bioRxiv.

A novel data-driven model for real-time influenza forecasting

Vijay V. Raghavan, Stephen Nichols, Anthony S. Maida, 2017 .

Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization

Vijay V. Raghavan, Anthony S. Maida, Amirhossein Tavanaei, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Multi-layer unsupervised learning in a spiking convolutional neural network

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Support Vector Data Description for Spoken Digit Recognition

Hossein Sameti, Alireza Ghasemi, Mohammad Taghi Manzuri, 2012, BIOSIGNALS.

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

Timothée Masquelier, Anthony S. Maida, Amirhossein Tavanaei, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Representation Learning using Event-based STDP

Timothée Masquelier, Anthony S. Maida, Amirhossein Tavanaei, 2017, Neural Networks.

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

Rasiah Loganantharaj, Anthony S. Maida, Amirhossein Tavanaei, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Filter-bank design based on dependencies between frequency components and phoneme characteristics

Hossein Sameti, Seyed Hamidreza Mohammadi, Amirhossein Tavanaei, 2011, 2011 19th European Signal Processing Conference.

Deep Learning in Spiking Neural Networks

Timothée Masquelier, Anthony S. Maida, Amirhossein Tavanaei, 2018, Neural Networks.

Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning pdf

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2016, ArXiv.

Studying the interaction of a hidden Markov model with a Bayesian spiking neural network

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI pdf

Amirhossein Tavanaei, A. Tavanaei, 2020, ArXiv.

A Minimal Spiking Neural Network to Rapidly Train and Classify Handwritten Digits in Binary and 10-Digit Tasks

Anthony S. Maida, Amirhossein Tavanaei, S Anthony, 2015 .

A Deep Learning Model for Predicting Tumor Suppressor Genes and Oncogenes from PDB Structure

Rasiah Loganantharaj, Anthony S. Maida, Amirhossein Tavanaei, 2017, bioRxiv.

Mel-scaled Discrete Wavelet Transform and dynamic features for the Persian phoneme recognition

Hossein Sameti, Amirhossein Tavanaei, Mohammad T. Manzuri, 2011, 2011 International Symposium on Artificial Intelligence and Signal Processing (AISP).

BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity pdf

Anthony Maida, Amirhossein Tavanaei, A. Maida, 2017, Neurocomputing.

A Deep Learning Model for Predicting Tumor Suppressor Genes and Oncogenes from PDB Structure

Rasiah Loganantharaj, Anthony Maida, Amirhossein Tavanaei, 2017 .

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

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2017, ICONIP.

KNNDIST: A Non-Parametric Distance Measure for Speaker Segmentation

Hossein Sameti, Seyed Hamidreza Mohammadi, Amirhossein Tavanaei, 2012, INTERSPEECH.

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

Hossein Sameti, Seyed Hamidreza Mohammadi, Amirhossein Tavanaei, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Training Spiking ConvNets by STDP and Gradient Descent

Anthony S. Maida, Amirhossein Tavanaei, Zachary Kirby, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

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

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2016, Neurocomputing.

Training a Hidden Markov Model with a Bayesian Spiking Neural Network

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2016, Journal of Signal Processing Systems.