A simple but efficient real-time Voice Activity Detection algorithm. - Mohammad Hossein Moattar; Mohammad Mehdi Homayounpour (EUSIPCO, 2009)

A new approach for robust realtime Voice Activity Detection using spectral pattern. - Mohammad Hossein Moattar; Mohammad Mehdi Homayounpour; Nima Khademi Kalantari (ICASSP, 2010)

Variational conditional random fields for online speaker detection and tracking. - Mohammad Hossein Moattar; Mohammad Mehdi Homayounpour (Speech Commun., 2012)

A review on speaker diarization systems and approaches. - Mohammad Hossein Moattar; Mohammad Mehdi Homayounpour (Speech Commun., 2012)

A unified framework for domain independent online speaker indexing in eigen-voice space using an index tree of reference models. - Mohammad Hossein Moattar; Mohammad Mehdi Homayounpour (Int. J. Speech Technol., 2013)

Manifold learning based speaker dependent dimension reduction for robust text independent speaker verification. - Davoud Zabihzadeh; Mohammad Hossein Moattar (Int. J. Speech Technol., 2014)

Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information. - Atiyeh Mortazavi; Mohammad Hossein Moattar (Adv. Bioinformatics, 2016)

Metamorphic Malware Detection Using Linear Discriminant Analysis and Graph Similarity. - Reza Mirzazadeh; Mohammad Hossein Moattar; Majid Vafaei Jahan (CoRR, 2018)

A geodesic distance-based approach for shape-independent data clustering using coalitional game. - Behrouz Beik Khorasani; Mohammad Hossein Moattar; Yahya Forghani (Expert Syst. J. Knowl. Eng., 2018)

Increasing the speed of fuzzy k-nearest neighbours algorithm. - Hamed Nikdel; Yahya Forghani; S. Mohammad Hosein Moattar (Expert Syst. J. Knowl. Eng., 2018)

Evolutionary feature subsets selection based on interaction information for high dimensional imbalanced data classification. - Elahe Sadat Hosseini; Mohammad Hossein Moattar (Appl. Soft Comput., 2019)

Consistency models in distributed systems: A survey on definitions, disciplines, challenges and applications. - Hesam Nejati Sharif Aldin; Hossein Deldari; Mohammad Hossein Moattar; Mostafa Razavi Ghods (CoRR, 2019)

Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement. - Mostafa Razavi Ghods; Mohammad Hossein Moattar; Yahya Forghani (CoRR, 2019)

Missing value imputation for breast cancer diagnosis data using tensor factorization improved by enhanced reduced adaptive particle swarm optimization. - Atefeh Nekouie; Mohammad Hossein Moattar (J. King Saud Univ. Comput. Inf. Sci., 2019)

A hybrid Bayesian network and tensor factorization approach for missing value imputation to improve breast cancer recurrence prediction. - Mahin Vazifehdan; Mohammad Hossein Moattar; Mehrdad Jalali (J. King Saud Univ. Comput. Inf. Sci., 2019)

Discriminative geodesic Gaussian process latent variable model for structure preserving dimension reduction in clustering and classification problems. - Mahdi Heidari; Mohammad Hossein Moattar (Neural Comput. Appl., 2019)

A new method for community detection in social networks based on message distribution. - Reyhaneh Rigia; Mehrdad Jalali; Mohammad Hossein Moattar (CoRR, 2020)

Strict Timed Causal Consistency as a Hybrid Consistency Model in the Cloud Environment. - Hesam Nejati Sharif Aldin; Hossein Deldari; Mohammad Hossein Moattar; Mostafa Razavi Ghods (Future Gener. Comput. Syst., 2020)

Color image encryption based on hybrid chaotic system and DNA sequences. - Abolfazl Yaghouti Niyat; Mohammad Hossein Moattar (Multim. Tools Appl., 2020)

Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification. - Azadeh Rezazadeh Hamedani; Mohammad Hossein Moattar; Yahya Forghani (J. Big Data, 2021)

Automatic construction of domain-specific sentiment lexicon for unsupervised domain adaptation and sentiment classification. - Omid Mohamad Beigi; Mohammad Hossein Moattar (Knowl. Based Syst., 2021)

Cloud healthcare services: A comprehensive and systematic literature review. - Morteza Rahimi; Nima Jafari Navimipour; Mehdi Hosseinzadeh 001; Mohammad Hossein Moattar; Aso Mohammad Darwesh (Trans. Emerg. Telecommun. Technol., 2022)

Improved cost-sensitive representation of data for solving the imbalanced big data classification problem. - Mahboubeh Fattahi; Mohammad Hossein Moattar; Yahya Forghani (J. Big Data, 2022)

Toward the efficient service selection approaches in cloud computing. - Morteza Rahimi; Nima Jafari Navimipour; Mehdi Hosseinzadeh 001; Mohammad Hossein Moattar; Aso Mohammad Darwesh (Kybernetes, 2022)

Locally alignment based manifold learning for simultaneous feature selection and extraction in classification problems. - Mahboubeh Fattahi; Mohammad Hossein Moattar; Yahya Forghani (Knowl. Based Syst., 2023)

Robust microarray data feature selection using a correntropy based distance metric learning approach. - Venus Vahabzadeh; Mohammad Hossein Moattar (Comput. Biol. Medicine, 2023)

Forward propagation dropout in deep neural networks using Jensen-Shannon and random forest feature importance ranking. - Mohsen Heidari; Mohammad Hossein Moattar; Hamidreza Ghaffari (Neural Networks, 2023)

A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems. - Tayyebe Feizi; Mohammad Hossein Moattar; Hamid Tabatabaee (J. Big Data, 2023)

Discriminative feature selection using signed Laplacian restricted Boltzmann machine for speed and generalization improvement of high dimensional data classification. - Yasser Abroshan; Mohammad Hossein Moattar (Appl. Soft Comput., 2024)

Reducing the computational complexity of fuzzy identity-based encryption from lattice. - Sedigheh Khajouei-Nejad; Hamid Haj Seyyed Javadi; Sam Jabbehdari; Seyed Mohammad Hossein Moattar (IACR Cryptol. ePrint Arch., 2024)

Fuzzy Identity Based Encryption with a flexible threshold value. - Sedigheh Khajouei-Nejad; Sam Jabbehdari; Hamid Haj Seyyed Javadi; Seyed Mohammad Hossein Moattar (IACR Cryptol. ePrint Arch., 2024)

M2GDL: Multi-manifold guided dictionary learning based oversampling and data validation for highly imbalanced classification problems. - Tayyebe Feizi; Mohammad Hossein Moattar; Hamid Tabatabaee (Inf. Sci., 2024)

Robust Low Complexity Framework for Early Diagnosis of Autism Spectrum Disorder Based on Cross Wavelet Transform and Deep Transfer Learning. - Amir Toranjsimin; Saeed Zahedirad; Mohammad Hossein Moattar (SN Comput. Sci., 2024)

Hybrid deep transfer learning-based early diagnosis of autism spectrum disorder using scalogram representation of electroencephalography signals. - Farhad Abedinzadeh Torghabeh; Yeganeh Modaresnia; Mohammad Hossein Moattar (Medical Biol. Eng. Comput., 2024)

Supervised Density-Based Metric Learning Based on Bhattacharya Distance for Imbalanced Data Classification Problems. - Atena Jalali Mojahed; Mohammad Hossein Moattar; Hamidreza Ghaffari (Big Data Cogn. Comput., 2024)

A secure and robust images encryption scheme using chaos game representation, logistic map and convolutional auto-encoder. - Nafise Ramezanipour; Mohammad Hossein Moattar (Multim. Tools Appl., 2024)

Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value. - Elham Ahmadi Moghadam; Farhad Abedinzadeh Torghabeh; Seyyed Abed Hosseini; Mohammad Hossein Moattar (Neuroinformatics, 2024)

Deep generative approaches for oversampling in imbalanced data classification problems: A comprehensive review and comparative analysis. - Mozafar Hayaeian Shirvan; Mohammad Hossein Moattar; Mehdi Hosseinzadeh 001 (Appl. Soft Comput., 2025)

Dealing with high dimensional multi-view data: A comprehensive review of non-negative matrix factorization approaches in data mining and machine learning. - Nafiseh Soleymani; Mohammad Hossein Moattar; Reza Sheibani (Comput. Sci. Rev., 2025)

A comprehensive survey on recent feature selection methods for mixed data: Challenges, solutions and future directions. - Mahshid Ebrahimi Warkiani; Mohammad Hossein Moattar (Neurocomputing, 2025)

SGRiT: Non-Negative Matrix Factorization via Subspace Graph Regularization and Riemannian-Based Trust Region Algorithm. - Mohsen Nokhodchian; Mohammad Hossein Moattar; Mehrdad Jalali (Mach. Learn. Knowl. Extr., 2025)

Enhancing Lattice-Based Attribute-Based Encryption with Robust Fine-Grained Access Policies. - Sedigheh Khajouei-Nejad; Sam Jabbehdari; Hamid Haj Seyyed Javadi; Seyed Mohammad Hossein Moattar (ISC Int. J. Inf. Secur., 2025)

Supervised kernel-based multi-modal Bhattacharya distance learning for imbalanced data classification. - Atena Jalali Mojahed; Mohammad Hossein Moattar; Hamidreza Ghaffari (Knowl. Inf. Syst., 2025)