Filter-bank design based on dependencies between frequency components and phoneme characteristics. - Seyed Hamidreza Mohammadi; Hossein Sameti; Amirhossein Tavanaei; Ali Soltani-Farani (EUSIPCO, 2011)

False alarm reduction by improved filler model and post-processing in speech keyword spotting. - Amirhossein Tavanaei; Hossein Sameti; Seyed Hamidreza Mohammadi (MLSP, 2011)

Support Vector Data Description for Spoken Digit Recognition. - Amirhossein Tavanaei; Alireza Ghasemi; Mohammad Tavanaei; Hossein Sameti; Mohammad Taghi Manzuri (BIOSIGNALS, 2012)

KNNDIST: A Non-Parametric Distance Measure for Speaker Segmentation. - Seyed Hamidreza Mohammadi; Hossein Sameti; Mahsa Sadat Elyasi Langarani; Amirhossein Tavanaei (INTERSPEECH, 2012)

Studying the interaction of a hidden Markov model with a Bayesian spiking neural network. - Amirhossein Tavanaei; Anthony S. Maida (MLSP, 2015)

Towards recognition of protein function based on its structure using deep convolutional networks. - Amirhossein Tavanaei; Anthony S. Maida; Arun Kaniymattam; Rasiah Loganantharaj (BIBM, 2016)

Acquisition of visual features through probabilistic spike-timing-dependent plasticity. - Amirhossein Tavanaei; Timothée Masquelier; Anthony S. Maida (IJCNN, 2016)

Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning. - Amirhossein Tavanaei; Anthony S. Maida (CoRR, 2016)

A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure. - Amirhossein Tavanaei; Nishanth Anandanadarajah; Anthony S. Maida; Rasiah Loganantharaj (BIBM, 2017)

Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals. - Amirhossein Tavanaei; Anthony S. Maida (ICONIP (6), 2017)

Multi-layer unsupervised learning in a spiking convolutional neural network. - Amirhossein Tavanaei; Anthony S. Maida (IJCNN, 2017)

A spiking network that learns to extract spike signatures from speech signals. - Amirhossein Tavanaei; Anthony S. Maida (Neurocomputing, 2017)

Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. - Amirhossein Tavanaei; Raju Gottumukkala; Anthony S. Maida; Vijay V. Raghavan 001 (IJCNN, 2018)

Training Spiking ConvNets by STDP and Gradient Descent. - Amirhossein Tavanaei; Zachary Kirby; Anthony S. Maida (IJCNN, 2018)

Representation learning using event-based STDP. - Amirhossein Tavanaei; Timothée Masquelier; Anthony S. Maida (Neural Networks, 2018)

Training a Hidden Markov Model with a Bayesian Spiking Neural Network. - Amirhossein Tavanaei; Anthony S. Maida (J. Signal Process. Syst., 2018)

A Novel Data-Driven Model for Real-Time Influenza Forecasting. - Siva R. Venna; Amirhossein Tavanaei; Raju N. Gottumukkala; Vijay V. Raghavan 001; Anthony S. Maida; Stephen Nichols (IEEE Access, 2019)

BP-STDP: Approximating backpropagation using spike timing dependent plasticity. - Amirhossein Tavanaei; Anthony Maida (Neurocomputing, 2019)

Deep learning in spiking neural networks. - Amirhossein Tavanaei; Masoud Ghodrati; Saeed Reza Kheradpisheh; Timothée Masquelier; Anthony Maida (Neural Networks, 2019)

Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI. - Amirhossein Tavanaei (CoRR, 2020)