Model order estimation using Bayesian NMF for discovering phone patterns in spoken utterances. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (INTERSPEECH, 2013)

Bayesian non-parametric matrix factorization for discovering words in spoken utterances. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (WASPAA, 2013)

Blind audio source separation of stereo mixtures using Bayesian Non-negative Matrix Factorization. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (EUSIPCO, 2014)

Blind speech source localization, counting and separation for 2-channel convolutive mixtures in a reverberant environment. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (INTERSPEECH, 2014)

Who's Speaking?: Audio-Supervised Classification of Active Speakers in Video. - Punarjay Chakravarty; Sayeh Mirzaei; Tinne Tuytelaars; Hugo Van hamme (ICMI, 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)

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)

Under-determined reverberant audio source separation using Bayesian Non-negative Matrix Factorization. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (Speech Commun., 2016)

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)

Click-Through Rate Prediction Using Feature Engineered Boosting Algorithms. - Mohamadreza Bakhtyari; Sayeh Mirzaei (CSICC, 2021)

A Semantic-based Feature Extraction Method Using Categorical Clustering for Persian Document Classification. - Saeedeh Davoudi; Sayeh Mirzaei (CSICC, 2021)

EEG motor imagery classification using dynamic connectivity patterns and convolutional autoencoder. - Sayeh Mirzaei; Parisa Ghasemi (Biomed. Signal Process. Control., 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)

Evaluating Various Feature Extraction Methods and Classification Algorithms for Music Genres Classification. - Mohammadreza Bakhtyari; Saeedeh Davoudi; Sayeh Mirzaei (CSICC, 2022)

ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework. - Mohammadreza Bakhtyari; Sayeh Mirzaei (Biomed. Signal Process. Control., 2022)

Software reliability prediction: A survey. - Shahrzad Oveisi; Ali Moeini; Sayeh Mirzaei; Mohammad Ali Farsi (Qual. Reliab. Eng. Int., 2023)

Acoustic scene classification with multi-temporal complex modulation spectrogram features and a convolutional LSTM network. - Sayeh Mirzaei; Iman Khani Jazani (Multim. Tools Appl., 2023)

Hyperspectral image classification using K-plane clustering and kernel principal component analysis. - Sayeh Mirzaei (Multim. Tools Appl., 2023)

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)

Software reliability prediction: A machine learning and approximation Bayesian inference approach. - Shahrzad Oveisi; Ali Moeini; Sayeh Mirzaei; Mohammad Ali Farsi (Qual. Reliab. Eng. Int., 2024)

Optimized Multi-Label Human Activity Recognition with Focal Loss and Attention-Enhanced LSTM Networks. - Ali Zohrevand; Sayeh Mirzaei; Hedieh Sajedi (CSICC, 2025)

A novel framework for under-determined blind source separation based on adaptive source counting using mixed linear and circular data clustering algorithm for low latency applications. - Mahdi Khademi; Sayeh Mirzaei; Yaser Norouzi (Multim. Tools Appl., 2025)

EEG Motor imagery classification based on a ConvLSTM Autoencoder framework augmented by attention BiLSTM. - Sayeh Mirzaei; Parisa Ghasemi; Mohammadreza Bakhtyari (Multim. Tools Appl., 2025)

Enhancing aspect-based sentiment analysis through graph attention networks and supervised contrastive learning. - Akram Karimi Zarandi; Sayeh Mirzaei (Multim. Tools Appl., 2025)