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Javad Hassannataj Joloudari
2020 – today
- 2024
- [j11]Mahmood Sotoodeh
, Ali Kohan
Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval. IEEE Access 12: 162432-162449 (2024) - [j10]Soroush Hashemifar
Enhancing face recognition with latent space data augmentation and facial posture reconstruction. Expert Syst. Appl. 238(Part F): 122266 (2024) - [j9]Hamid Saadatfar
A New Dynamic Game-Based Pricing Model for Cloud Environment. Future Internet 16(2): 49 (2024) - [j8]Javad Hassannataj Joloudari
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. Multim. Tools Appl. 83(26): 67953-67996 (2024) - [j7]Ehsanullah Zia, Hamed Vahdat-Nejad, Mohammad Ali Zeraatkar, Javad Hassannataj Joloudari, Seyyed Ali Hoseini:
3ENB2: end-to-end EfficientNetB2 model with online data augmentation for fire detection. Signal Image Video Process. 18(10): 7183-7197 (2024) - [c4]Mohammad Maftoun
Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier. IWINAC 2024: 68-77 - [c3]Mohamad Roshanzamir, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, Juan Manuel Górriz:
Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications. IWINAC 2024: 98-107 - [c2]Mohammad Hashemi
Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm. IWINAC 2024: 108-117 - [i17]Mohammad Maftoun
Malicious URL Detection using optimized Hist Gradient Boosting Classifier based on grid search method. CoRR abs/2406.10286 (2024) - [i16]Javad Hassannataj Joloudari, Mohammad Maftoun, Bahareh Nakisa, Roohallah Alizadehsani, Meisam Yadollahzadeh Tabari:
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review. CoRR abs/2409.07493 (2024) - [i15]Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Prasad N. Paradkar, Ru San Tan, U. Rajendra Acharya, Asim Bhatti:
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review. CoRR abs/2409.17516 (2024) - 2023
- [j6]Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - [j5]Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri
BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. Soc. Netw. Anal. Min. 13(1): 99 (2023) - [i14]Soroush Hashemifar, Abdolreza Marefat, Javad Hassannataj Joloudari, Hamid Hassanpour
FRA: A novel Face Representation Augmentation algorithm for face recognition. CoRR abs/2301.11986 (2023) - 2022
- [i13]Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj, Danial Sharifrazi, Zulkefli Mansor:
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model. CoRR abs/2202.04645 (2022) - [i12]Javad Hassannataj Joloudari, Roohallah Alizadehsani, Issa Nodehi, Sanaz Mojrian, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Hussain Mohammed Dipu Kabir, Ru San Tan, U. Rajendra Acharya
Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review. CoRR abs/2203.12315 (2022) - [i11]Javad Hassannataj Joloudari, Abdolreza Marefat, Mohammad Ali Nematollahi:
Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks. CoRR abs/2209.00653 (2022) - [i10]Abdolreza Marefat, Mahdieh Marefat, Javad Hassannataj Joloudari, Mohammad Ali Nematollahi, Reza Lashgari:
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers. CoRR abs/2209.13399 (2022) - [i9]Javad Hassannataj Joloudari, Sadiq Hussain
BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets. CoRR abs/2211.09733 (2022) - 2021
- [j4]Danial Sharifrazi, Roohallah Alizadehsani
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021) - [j3]Roohallah Alizadehsani
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - [i8]Roohallah Alizadehsani
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i7]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021) - [i6]Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - [i5]Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari, Edris Hassannataj, Roohallah Alizadehsani
A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis. CoRR abs/2107.06179 (2021) - [i4]Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani
GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset. CoRR abs/2108.08292 (2021) - 2020
- [j2]Javad Hassannataj Joloudari
Early Detection of the Advanced Persistent Threat Attack Using Performance Analysis of Deep Learning. IEEE Access 8: 186125-186137 (2020) - [c1]Sanaz Mojrian, Gergo Pintér, Javad Hassannataj Joloudari
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System. RIVF 2020: 1-7 - [i3]Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Seyyed Mohammad Razavi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, László Nádai:
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model. CoRR abs/2001.09841 (2020) - [i2]Javad Hassannataj Joloudari, Mojtaba Haderbadi, Amir Mashmool
Early detection of the advanced persistent threat attack using performance analysis of deep learning. CoRR abs/2009.10524 (2020)
2010 – 2019
- 2019
- [j1]Seyyed Mehdi Hosseini, Javad Hassannataj Joloudari
MB-FLEACH: A New Algorithm for Super Cluster Head Selection for Wireless Sensor Networks. Int. J. Wirel. Inf. Networks 26(2): 113-130 (2019) - [i1]Sanaz Mojrian, Gergo Pintér, Javad Hassannataj Joloudari, Imre Felde, Narjes Nabipour, László Nádai, Amir Mosavi:
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System. CoRR abs/1910.13574 (2019)
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last updated on 2025-01-20 22:55 CET by the dblp team
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