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Mir Mohsen Pedram
Mir Mohsen Pedram
Department of Electrical and Computer Engineering, Kharazmi University
Bestätigte E-Mail-Adresse bei khu.ac.ir - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Combination of rs-fMRI and sMRI data to discriminate autism spectrum disorders in young children using deep belief network
M Akhavan Aghdam, A Sharifi, MM Pedram
Journal of digital imaging 31 (6), 895-903, 2018
1462018
Multi-view deep network: a deep model based on learning features from heterogeneous neural networks for sentiment analysis
H Sadr, MM Pedram, M Teshnehlab
IEEE access 8, 86984-86997, 2020
1062020
A robust sentiment analysis method based on sequential combination of convolutional and recursive neural networks
H Sadr, MM Pedram, M Teshnehlab
Neural processing letters 50, 2745-2761, 2019
1012019
Diagnosis of autism spectrum disorders in young children based on resting-state functional magnetic resonance imaging data using convolutional neural networks
MA Aghdam, A Sharifi, MM Pedram
Journal of digital imaging 32, 899-918, 2019
832019
Diagnosis of Alzheimer’s disease severity with fMRI images using robust multitask feature extraction method and convolutional neural network (CNN)
M Amini, MM Pedram, AR Moradi, M Ouchani
Computational and Mathematical Methods in Medicine 2021 (1), 5514839, 2021
742021
Fuzzy pricing, marketing and service planning in a fuzzy inventory model: A geometric programming approach
F Samadi, A Mirzazadeh, MM Pedram
Applied Mathematical Modelling 37 (10-11), 6683-6694, 2013
602013
A multi-criteria decision making based method for ranking sequential patterns
Z Dashti, MM Pedram, J Shanbehzadeh
Proceedings of the International MultiConference of Enginners and Computer …, 2010
582010
EEG feature extraction and data augmentation in emotion recognition
MP Kalashami, MM Pedram, H Sadr
Computational intelligence and neuroscience 2022 (1), 7028517, 2022
572022
Intelligent learning management systems: Definition, features and measurement of intelligence
A Fardinpour, MM Pedram, M Burkle
International Journal of Distance Education Technologies (IJDET) 12 (4), 19-31, 2014
512014
Diagnosis of Alzheimer’s Disease by Time‐Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal
M Amini, MM Pedram, AR Moradi, M Ouchani
Computational and Mathematical Methods in Medicine 2021 (1), 5511922, 2021
502021
Unified topic-based semantic models: a study in computing the semantic relatedness of geographic terms
H Sadr, MN Soleimandarabi, MM Pedram, M Teshnelab
2019 5th International Conference on Web Research (ICWR), 134-140, 2019
332019
Convolutional neural network equipped with attention mechanism and transfer learning for enhancing performance of sentiment analysis
H Sadr, MM Pedram, M Teshnehlab
Journal of AI and data mining 9 (2), 141-151, 2021
282021
Unit Maintenance Scheduling: A robust model, based on fuzzy cost factors and peak loads
A Bozorgi, MM Pedram, GR Yousefi
International Journal of Electrical Power & Energy Systems 79, 142-149, 2016
272016
Metric for early measurement of software complexity
G Keshavarz, N Modiri, M Pedram
Interfaces 5 (10), 15, 2011
252011
Main content extraction from detailed web pages
M Asfia, MM Pedram, AM Rahmani
International Journal of Computer Applications 4 (11), 18-21, 2010
252010
Single and Combined Neuroimaging Techniques for Alzheimer’s Disease Detection
MO Morteza Amini, Mir Mohsen Pedram, Alireza Moradi, Mahdieh Jamshidi
Computational Intelligence and Neuroscience 2021, 2021
242021
Data quality improvement using fuzzy association rules
FG Alizamini, MM Pedram, M Alishahi, K Badie
2010 International conference on electronics and information engineering 1 …, 2010
232010
Discovered motifs with using parallel Mprefixspan method
HA Rokny, MM Pedram, H Shirgahi
Scientific Research and Essays 6 (20), 4220-4226, 2011
202011
Exploring the efficiency of topic-based models in computing semantic relatedness of geographic terms
H Sadr, M Nazari, MM Pedram, M Teshnehlab
International journal of web research 2 (2), 23-35, 2019
192019
Improving the performance of text sentiment analysis using deep convolutional neural network integrated with hierarchical attention layer
H Sadr, MM Pedram, M Teshnelab
International journal of information and communication technology research …, 2019
172019
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