Mohammad Hossein Moattar
Orcid: 0000-0002-8968-6744
According to our database1,
Mohammad Hossein Moattar
authored at least 32 papers
between 2009 and 2024.
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Bibliography
2024
Hybrid deep transfer learning-based early diagnosis of autism spectrum disorder using scalogram representation of electroencephalography signals.
Medical Biol. Eng. Comput., February, 2024
Robust Low Complexity Framework for Early Diagnosis of Autism Spectrum Disorder Based on Cross Wavelet Transform and Deep Transfer Learning.
SN Comput. Sci., 2024
IACR Cryptol. ePrint Arch., 2024
Reducing the computational complexity of fuzzy identity-based encryption from lattice.
IACR Cryptol. ePrint Arch., 2024
2023
A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems.
J. Big Data, December, 2023
Forward propagation dropout in deep neural networks using Jensen-Shannon and random forest feature importance ranking.
Neural Networks, August, 2023
Robust microarray data feature selection using a correntropy based distance metric learning approach.
Comput. Biol. Medicine, July, 2023
Locally alignment based manifold learning for simultaneous feature selection and extraction in classification problems.
Knowl. Based Syst., 2023
2022
Kybernetes, 2022
Improved cost-sensitive representation of data for solving the imbalanced big data classification problem.
J. Big Data, 2022
Trans. Emerg. Telecommun. Technol., 2022
2021
Automatic construction of domain-specific sentiment lexicon for unsupervised domain adaptation and sentiment classification.
Knowl. Based Syst., 2021
Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification.
J. Big Data, 2021
2020
Multim. Tools Appl., 2020
Strict Timed Causal Consistency as a Hybrid Consistency Model in the Cloud Environment.
Future Gener. Comput. Syst., 2020
A new method for community detection in social networks based on message distribution.
CoRR, 2020
2019
Discriminative geodesic Gaussian process latent variable model for structure preserving dimension reduction in clustering and classification problems.
Neural Comput. Appl., 2019
A hybrid Bayesian network and tensor factorization approach for missing value imputation to improve breast cancer recurrence prediction.
J. King Saud Univ. Comput. Inf. Sci., 2019
Missing value imputation for breast cancer diagnosis data using tensor factorization improved by enhanced reduced adaptive particle swarm optimization.
J. King Saud Univ. Comput. Inf. Sci., 2019
Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement.
CoRR, 2019
Consistency models in distributed systems: A survey on definitions, disciplines, challenges and applications.
CoRR, 2019
Evolutionary feature subsets selection based on interaction information for high dimensional imbalanced data classification.
Appl. Soft Comput., 2019
2018
Expert Syst. J. Knowl. Eng., 2018
A geodesic distance-based approach for shape-independent data clustering using coalitional game.
Expert Syst. J. Knowl. Eng., 2018
Metamorphic Malware Detection Using Linear Discriminant Analysis and Graph Similarity.
CoRR, 2018
2016
Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information.
Adv. Bioinformatics, 2016
2014
Manifold learning based speaker dependent dimension reduction for robust text independent speaker verification.
Int. J. Speech Technol., 2014
2013
A unified framework for domain independent online speaker indexing in eigen-voice space using an index tree of reference models.
Int. J. Speech Technol., 2013
2012
Speech Commun., 2012
2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Proceedings of the 17th European Signal Processing Conference, 2009