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2020 – today
- 2024
[j12]Akram Karimi Zarandi, Sayeh Mirzaei
:
A survey of aspect-based sentiment analysis classification with a focus on graph neural network methods. Multim. Tools Appl. 83(19): 56619-56695 (2024)- [j11]Shahrzad Oveisi, Ali Moeini, Sayeh Mirzaei, Mohammad Ali Farsi:
Software reliability prediction: A machine learning and approximation Bayesian inference approach. Qual. Reliab. Eng. Int. 40(7): 4004-4037 (2024) - 2023
- [j10]Sayeh Mirzaei, Iman Khani Jazani:
Acoustic scene classification with multi-temporal complex modulation spectrogram features and a convolutional LSTM network. Multim. Tools Appl. 82(11): 16395-16408 (2023) - [j9]Sayeh Mirzaei:
Hyperspectral image classification using K-plane clustering and kernel principal component analysis. Multim. Tools Appl. 82(30): 47387-47403 (2023) - [j8]Shahrzad Oveisi, Ali Moeini, Sayeh Mirzaei, Mohammad Ali Farsi:
Software reliability prediction: A survey. Qual. Reliab. Eng. Int. 39(1): 412-453 (2023) - 2022
- [j7]Mohammadreza Bakhtyari, Sayeh Mirzaei:
ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework. Biomed. Signal Process. Control. 76: 103708 (2022) - [c8]Mohammadreza Bakhtyari, Saeedeh Davoudi, Sayeh Mirzaei:
Evaluating Various Feature Extraction Methods and Classification Algorithms for Music Genres Classification. CSICC 2022: 1-6 - 2021
- [j6]Sayeh Mirzaei, Parisa Ghasemi:
EEG motor imagery classification using dynamic connectivity patterns and convolutional autoencoder. Biomed. Signal Process. Control. 68: 102584 (2021) - [j5]Mahdi Khademi, Sayeh Mirzaei, Yaser Norouzi:
High resolution sub-band decomposition underdetermined blind signal separation using virtual sensor based ICA method for low latency applications. Digit. Signal Process. 113: 103015 (2021) - [c7]Mohamadreza Bakhtyari, Sayeh Mirzaei:
Click-Through Rate Prediction Using Feature Engineered Boosting Algorithms. CSICC 2021: 1-5 - [c6]Saeedeh Davoudi, Sayeh Mirzaei:
A Semantic-based Feature Extraction Method Using Categorical Clustering for Persian Document Classification. CSICC 2021: 1-5
2010 – 2019
- 2019
- [j4]Sayeh Mirzaei, Hugo Van hamme, Shima Khosravani:
Hyperspectral image classification using Non-negative Tensor Factorization and 3D Convolutional Neural Networks. Signal Process. Image Commun. 76: 178-185 (2019) - 2016
- [j3]Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi:
Under-determined reverberant audio source separation using Bayesian Non-negative Matrix Factorization. Speech Commun. 81: 129-137 (2016) - 2015
- [j2]Sayeh Mirzaei, Yaser Norouzi, Hugo Van hamme:
Two-stage blind audio source counting and separation of stereo instantaneous mixtures using Bayesian tensor factorisation. IET Signal Process. 9(8): 587-595 (2015) - [j1]Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi:
Blind audio source counting and separation of anechoic mixtures using the multichannel complex NMF framework. Signal Process. 115: 27-37 (2015) - [c5]Punarjay Chakravarty, Sayeh Mirzaei, Tinne Tuytelaars, Hugo Van hamme:
Who's Speaking?: Audio-Supervised Classification of Active Speakers in Video. ICMI 2015: 87-90 - 2014
- [c4]Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi:
Blind audio source separation of stereo mixtures using Bayesian Non-negative Matrix Factorization. EUSIPCO 2014: 621-625 - [c3]Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi:
Blind speech source localization, counting and separation for 2-channel convolutive mixtures in a reverberant environment. INTERSPEECH 2014: 860-864 - 2013
- [c2]Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi:
Model order estimation using Bayesian NMF for discovering phone patterns in spoken utterances. INTERSPEECH 2013: 1717-1721 - [c1]Sayeh Mirzaei, Hugo Van hamme, Yaser Norouzi:
Bayesian non-parametric matrix factorization for discovering words in spoken utterances. WASPAA 2013: 1-4
Coauthor Index
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last updated on 2024-12-02 21:30 CET by the dblp team
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