Sayeh Mirzaei

According to our database, Sayeh Mirzaei authored at least 19 papers between 2013 and 2024.

Collaborative distances:

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

2024

A survey of aspect-based sentiment analysis classification with a focus on graph neural network methods.

Akram Karimi Zarandi, Sayeh Mirzaei

Multim. Tools Appl., 2024

2023

Hyperspectral image classification using K-plane clustering and kernel principal component analysis.

Sayeh Mirzaei

Multim. Tools Appl., December, 2023

Acoustic scene classification with multi-temporal complex modulation spectrogram features and a convolutional LSTM network.

Sayeh Mirzaei, Iman Khani Jazani

Multim. Tools Appl., May, 2023

Software reliability prediction: A survey.

Shahrzad Oveisi, Ali Moeini, Sayeh Mirzaei, Mohammad Ali Farsi

Qual. Reliab. Eng. Int., February, 2023

2022

ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework.

Mohammadreza Bakhtyari, Sayeh Mirzaei

Biomed. Signal Process. Control., 2022

Evaluating Various Feature Extraction Methods and Classification Algorithms for Music Genres Classification.

Mohammadreza Bakhtyari, Saeedeh Davoudi, Sayeh Mirzaei

Proceedings of the 27th International Computer Conference, Computer Society of Iran, 2022

2021

High resolution sub-band decomposition underdetermined blind signal separation using virtual sensor based ICA method for low latency applications.

Mahdi Khademi, Sayeh Mirzaei, Yaser Norouzi

Digit. Signal Process., 2021

EEG motor imagery classification using dynamic connectivity patterns and convolutional autoencoder.

Sayeh Mirzaei, Parisa Ghasemi

Biomed. Signal Process. Control., 2021

A Semantic-based Feature Extraction Method Using Categorical Clustering for Persian Document Classification.

Saeedeh Davoudi, Sayeh Mirzaei

Proceedings of the 26th International Computer Conference, Computer Society of Iran, 2021

Click-Through Rate Prediction Using Feature Engineered Boosting Algorithms.

Mohamadreza Bakhtyari, Sayeh Mirzaei

Proceedings of the 26th International Computer Conference, Computer Society of Iran, 2021

2019

Hyperspectral image classification using Non-negative Tensor Factorization and 3D Convolutional Neural Networks.

Sayeh Mirzaei, Hugo Van hamme, Shima Khosravani

Signal Process. Image Commun., 2019

2016

Under-determined reverberant audio source separation using Bayesian Non-negative Matrix Factorization.

Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi

Speech Commun., 2016

2015

Blind audio source counting and separation of anechoic mixtures using the multichannel complex NMF framework.

Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi

Signal Process., 2015

Two-stage blind audio source counting and separation of stereo instantaneous mixtures using Bayesian tensor factorisation.

Sayeh Mirzaei, Yaser Norouzi, Hugo Van hamme

IET Signal Process., 2015

Who's Speaking?: Audio-Supervised Classification of Active Speakers in Video.

Punarjay Chakravarty, Sayeh Mirzaei, Tinne Tuytelaars, Hugo Van hamme

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

2014

Blind speech source localization, counting and separation for 2-channel convolutive mixtures in a reverberant environment.

Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Blind audio source separation of stereo mixtures using Bayesian Non-negative Matrix Factorization.

Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Bayesian non-parametric matrix factorization for discovering words in spoken utterances.

Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Model order estimation using Bayesian NMF for discovering phone patterns in spoken utterances.

Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013