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2020 – today
- 2024
[j63]Roohallah Alizadehsani
, Solomon Sunday Oyelere, Sadiq Hussain, Senthil Kumar Jagatheesaperumal, Rene Ripardo Calixto, Mohamed Rahouti, Mohamad Roshanzamir, Victor Hugo C. de Albuquerque:
Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey. IEEE Access 12: 35796-35812 (2024)- [j62]Mohammad Reza Chalak Qazani, Navid Aslfattahi, Vladimir Kulish, Houshyar Asadi, Michal Schmirler, Muhammad Zakarya, Roohallah Alizadehsani, Muhammad Haleem, K. Kadirgama:
Specific Heat Capacity Extraction of Soybean Oil/MXene Nanofluids Using Optimized Long Short-Term Memory. IEEE Access 12: 59049-59062 (2024) - [j61]Ali Peivandizadeh, Sima Hatami, Amirhossein Nakhjavani, Lida Khoshsima, Mohammad Reza Chalak Qazani, Muhammad Haleem, Roohallah Alizadehsani:
Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis. IEEE Access 12: 87110-87130 (2024) - [j60]Mengfan Li, Jian Zhang, Roohallah Alizadehsani, Pawel Plawiak:
A Multi-Channel Advertising Budget Allocation Using Reinforcement Learning and an Improved Differential Evolution Algorithm. IEEE Access 12: 100559-100580 (2024) - [j59]Furqan Alam, Pawel Plawiak, Ahmed Almaghthawi, Mohammad Reza Chalak Qazani, Sanat Mohanty, Roohallah Alizadehsani:
NeuroHAR: A Neuroevolutionary Method for Human Activity Recognition (HAR) for Health Monitoring. IEEE Access 12: 112232-112248 (2024) - [j58]Mahdieh Poodineh Moghadam, Zabih Allah Moghadam, Mohammad Reza Chalak Qazani, Pawel Plawiak, Roohallah Alizadehsani:
Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review. IEEE Access 12: 122557-122587 (2024) - [j57]Liu Yang, Guofan Jiang, Yixin Zhang, Wei Qianze, Zhang Jian, Roohallah Alizadehsani, Pawel Plawiak:
A Reinforcement Learning Approach Combined With Scope Loss Function for Crime Prediction on Twitter (X). IEEE Access 12: 149502-149527 (2024) - [j56]Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 339(3): 1077-1118 (2024) - [j55]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024) - [j54]Mohammad Rasouli, Assef Zare, Hassan Yaghoubi, Roohallah Alizadehsani:
Designing a Secure Mechanism for Image Transferring System Based on Uncertain Fractional Order Chaotic Systems and NLFPID Sliding Mode Controller. Axioms 12(9): 828 (2024) - [j53]Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti:
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. Biomed. Signal Process. Control. 96: 106594 (2024) - [j52]Hengame Ahmadi Golilarz, Alireza Azadbar, Roohallah Alizadehsani, Juan Manuel Górriz:
GAN-MD: A myocarditis detection using multi-channel convolutional neural networks and generative adversarial network-based data augmentation. CAAI Trans. Intell. Technol. 9(4): 866-878 (2024) - [j51]Muhammad Shahid Iqbal, Rizwan Ali Naqvi, Roohallah Alizadehsani, Sadiq Hussain, Syed Atif Moqurrab, Seung-Won Lee:
An adaptive ensemble deep learning framework for reliable detection of pandemic patients. Comput. Biol. Medicine 168: 107836 (2024) - [j50]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. 118: 109370 (2024) - [j49]Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, Mohd Ammar Bin Hayat, Mohamad Roshanzamir, Roohallah Alizadehsani, Faijan Akhtar, Eram Sayeed, Sadiq Hussain, Hany S. Hussein, Mohamad Sawan:
Progress and trends in neurological disorders research based on deep learning. Comput. Medical Imaging Graph. 116: 102400 (2024) - [j48]Hamed Zamanian, Ahmad Shalbaf, M. R. Zali, A. R. Khalaj, P. Dehghan, M. Tabesh, B. Hatami, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya:
Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). Comput. Methods Programs Biomed. 244: 107932 (2024) - [j47]Jiale Xiong, Jing Yang, Lei Yan, Muhammad Awais, Abdullah Ayub Khan, Roohallah Alizadehsani, U. Rajendra Acharya:
Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights. Expert Syst. Appl. 238(Part E): 122088 (2024) - [j46]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz:
Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 577: 127317 (2024) - [j45]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine learning meets advanced robotic manipulation. Inf. Fusion 105: 102221 (2024) - [j44]Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, Kwok-Leung Tsui:
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework. Inf. Fusion 108: 102412 (2024) - [j43]Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar, Issa Nodehi, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Hussain Mohammed Dipu Kabir, Ru San Tan, U. Rajendra Acharya:
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) - [c12]Masoud Sistaninezhad, Ali Jafarizadeh, Saman Rajebi, Siamak Pedrammehr, Roohallah Alizadehsani, Juan Manuel Górriz:
Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods. IWINAC 2024: 3-13 - [c11]Mohammad Maftoun, Javad Hassannataj Joloudari, Omid Zare, Maryam Khademi, Alireza Atashi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Juan Manuel Górriz:
Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier. IWINAC 2024: 68-77 - [c10]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 - [c9]Mohammad Hashemi, Seyedeh Somayeh Salehi Komamardakhi, Mohammad Maftoun, Omid Zare, Javad Hassannataj Joloudari, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Pietro Sala, Juan Manuel Górriz:
Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm. IWINAC 2024: 108-117 - [c8]Afshin Shoeibi, Mahboobeh Jafari, Delaram Sadeghi, Roohallah Alizadehsani, Hamid Alinejad-Rokny, Amin Beheshti, Juan Manuel Górriz:
Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model. IWINAC 2024: 139-149 - [i41]Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Current and future roles of artificial intelligence in retinopathy of prematurity. CoRR abs/2402.09975 (2024) - [i40]Yasin Sadeghi Bazargani, Majid Mirzaei, Navid Sobhi, Mirsaeed Abdollahi, Ali Jafarizadeh, Siamak Pedrammehr, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina. CoRR abs/2402.18600 (2024) - [i39]Milad Yousefi, Shadi Farabi Maleki, Ali Jafarizadeh, Mahya Ahmadpour Youshanlui, Aida Jafari, Siamak Pedrammehr, Roohallah Alizadehsani, Ryszard Tadeusiewicz, Pawel Plawiak:
Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis. CoRR abs/2404.07239 (2024) - [i38]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) - [i37]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
- [j42]Hassan Yaghoubi, Assef Zare, Mohammad Rasouli, Roohallah Alizadehsani:
Novel Frequency-Based Approach to Analyze the Stability of Polynomial Fractional Differential Equations. Axioms 12(2): 147 (2023) - [j41]Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158: 106841 (2023) - [j40]Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Niloufar Delfan, Yudong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya:
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. Comput. Biol. Medicine 160: 106998 (2023) - [j39]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan Anderson, Yudong Zhang, Juan Manuel Górriz:
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Inf. Fusion 93: 85-117 (2023) - [j38]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny:
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. 35(30): 22179-22188 (2023) - [j37]Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - [j36]Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino:
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23(3): 1466 (2023) - [j35]Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari, Ashis Talukder:
BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. Soc. Netw. Anal. Min. 13(1): 99 (2023) - [c7]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. DIS 2023: 1-19 - [c6]Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Ivan Bakhshayeshi, Roohallah Alizadehsani, Somayyeh Chamaani, Hamid Alinejad-Rokny:
Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion. DSP 2023: 1-5 - [i36]Mohsen Karami, Roohallah Alizadehsani, Khadijeh Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny:
Revolutionizing Genomics with Reinforcement Learning Techniques. CoRR abs/2302.13268 (2023) - [i35]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR abs/2304.01543 (2023) - [i34]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shadi Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR abs/2304.14925 (2023) - [i33]Elham Nasarian, Danial Sharifrazi, Saman Mohsenirad, Kwok Tsui, Roohallah Alizadehsani:
AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach. CoRR abs/2308.15339 (2023) - [i32]Roohallah Alizadehsani, Sadiq Hussain, Rene Ripardo Calixto, Victor Hugo C. de Albuquerque, Mohamad Roshanzamir, Mohamed Rahouti, Senthil Kumar Jagatheesaperumal:
Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey. CoRR abs/2309.12177 (2023) - [i31]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine Learning Meets Advanced Robotic Manipulation. CoRR abs/2309.12560 (2023) - [i30]Khadijeh Jahanian, Elnaz Shalbafian, Morteza Saberi, Roohallah Alizadehsani, Iman Dehzangi:
An Investigation of Hepatitis B Virus Genome using Markov Models. CoRR abs/2311.06699 (2023) - [i29]Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Navid Sobhi, Keysan Pourmoghtader, Siamak Pedrammehr, Houshyar Asadi, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya:
Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade. CoRR abs/2311.07609 (2023) - [i28]Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, Kwok-Leung Tsui:
Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework. CoRR abs/2311.11055 (2023) - [i27]Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti:
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis. CoRR abs/2312.08654 (2023) - 2022
- [j34]Hassan Yaghoubi, Assef Zare, Roohallah Alizadehsani:
Analysis and Design of Robust Controller for Polynomial Fractional Differential Systems Using Sum of Squares. Axioms 11(11): 623 (2022) - [j33]Mohammad Rasouli, Assef Zare, Majid Hallaji, Roohallah Alizadehsani:
The Synchronization of a Class of Time-Delayed Chaotic Systems Using Sliding Mode Control Based on a Fractional-Order Nonlinear PID Sliding Surface and Its Application in Secure Communication. Axioms 11(12): 738 (2022) - [j32]Ali Akbar Kekha Javan, Assef Zare, Roohallah Alizadehsani, Saeed Balochian:
Robust Multi-Mode Synchronization of Chaotic Fractional Order Systems in the Presence of Disturbance, Time Delay and Uncertainty with Application in Secure Communications. Big Data Cogn. Comput. 6(2): 51 (2022) - [j31]Ali Akbar Kekha Javan, Assef Zare, Roohallah Alizadehsani:
Multi-State Synchronization of Chaotic Systems with Distributed Fractional Order Derivatives and Its Application in Secure Communications. Big Data Cogn. Comput. 6(3): 82 (2022) - [j30]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. Biomed. Signal Process. Control. 73: 103417 (2022) - [j29]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya:
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 146: 105554 (2022) - [j28]Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 149: 106053 (2022) - [j27]Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, U. Rajendra Acharya:
Application of artificial intelligence in wearable devices: Opportunities and challenges. Comput. Methods Programs Biomed. 213: 106541 (2022) - [j26]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya:
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j25]Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Ram Bilas Pachori, Ali Khadem, Roohallah Alizadehsani, Sai Ho Ling:
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works. WIREs Data Mining Knowl. Discov. 12(6) (2022) - [i26]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) - [i25]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) - [i24]Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Sara A. Abdulla, Roohallah Alizadehsani, Juan Manuel Górriz, U. Rajendra Acharya:
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. CoRR abs/2206.11233 (2022) - [i23]Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Abbas Khosravi, Sai Ho Ling, Roohallah Alizadehsani, Amin Beheshti, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, U. Rajendra Acharya, Hamid Alinejad-Rokny:
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR abs/2210.14611 (2022) - [i22]Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Niloufar Delfan, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya:
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. CoRR abs/2210.14909 (2022) - [i21]Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari:
BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets. CoRR abs/2211.09733 (2022) - [i20]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady M. K. Mohamed, Navid Mohajer, Mohammad Rokonuzzaman, Ibrahim Hossain:
A Comprehensive Review on Autonomous Navigation. CoRR abs/2212.12808 (2022) - 2021
- [j24]Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, Roohallah Alizadehsani:
Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method. Big Data Cogn. Comput. 5(4): 78 (2021) - [j23]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. Biomed. Signal Process. Control. 68: 102622 (2021) - [j22]Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru San Tan, U. Rajendra Acharya:
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 128: 104095 (2021) - [j21]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine 136: 104697 (2021) - [j20]Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk:
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine 139: 104949 (2021) - [j19]Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini-Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi:
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. Expert Syst. Appl. 163: 113788 (2021) - [j18]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers Neuroinformatics 15: 777977 (2021) - [j17]Ali Akbar Kekha Javan, Afshin Shoeibi, Assef Zare, Navid Hosseini Izadi, Mahboobeh Jafari, Roohallah Alizadehsani, Parisa Moridian, Amir Mosavi, U. Rajendra Acharya, Saeid Nahavandi:
Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication. Sensors 21(1): 254 (2021) - [j16]Ali Akbar Kekha Javan, Mahboobeh Jafari, Afshin Shoeibi, Assef Zare, Marjane Khodatars, Navid Ghassemi, Roohallah Alizadehsani, Juan Manuel Górriz:
Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems. Sensors 21(11): 3925 (2021) - [j15]Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, Hamid Reza Kobravi, Roohallah Alizadehsani:
Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features. Sensors 21(22): 7710 (2021) - [j14]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
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) - [c5]Maryam Panahiazar, Andrew M. Bishara, Yorick Chern, Roohallah Alizadehsani, Omar S. Latif, Dexter Hadley, Ramin E. Beygui:
Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment. MedInfo 2021: 1080-1081 - [i19]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i18]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) - [i17]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Saeid Nahavandi:
An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works. CoRR abs/2103.03081 (2021) - [i16]Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - [i15]Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi:
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. CoRR abs/2104.15007 (2021) - [i14]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. CoRR abs/2105.04881 (2021) - [i13]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi:
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. CoRR abs/2105.14278 (2021) - [i12]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, Danial Sharifrazi, Amir Mosavi:
A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis. CoRR abs/2107.06179 (2021) - [i11]Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj, Amir Mosavi:
GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset. CoRR abs/2108.08292 (2021) - [i10]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models. CoRR abs/2109.01120 (2021) - [i9]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies. CoRR abs/2109.04364 (2021) - [i8]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi:
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. CoRR abs/2109.05457 (2021) - [i7]Assef Zare, Afshin Shoeibi, Narges Shafaei Bajestani, Parisa Moridian, Roohallah Alizadehsani, Majid Halaji, Abbas Khosravi:
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression. CoRR abs/2109.05461 (2021) - 2020
- [j13]Elham Nasarian, Moloud Abdar, Mohammad Amin Fahami, Roohallah Alizadehsani, Sadiq Hussain, Mohammad Ehsan Basiri, Mariam Zomorodi Moghadam, Xujuan Zhou, Pawel Plawiak, U. Rajendra Acharya, Ru San Tan, Nizal Sarrafzadegan:
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognit. Lett. 133: 33-40 (2020) - [j12]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. 24(13): 10149-10160 (2020) - [j11]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Peng Shi, Roohallah Alizadehsani:
Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Cybern. 50(7): 3243-3253 (2020) - [i6]Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Material Recognition for Automated Progress Monitoring using Deep Learning Methods. CoRR abs/2006.16344 (2020) - [i5]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya:
Epileptic seizure detection using deep learning techniques: A Review. CoRR abs/2007.01276 (2020) - [i4]Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk:
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR abs/2007.01285 (2020) - [i3]Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR abs/2007.10785 (2020) - [i2]Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR abs/2008.10114 (2020) - [i1]Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan:
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. CoRR abs/2012.11840 (2020)
2010 – 2019
- 2019
- [j10]Afsaneh Koohestani, Darius Nahavandi, Houshyar Asadi, Parham M. Kebria, Abbas Khosravi, Roohallah Alizadehsani, Saeid Nahavandi:
A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review. IEEE Access 7: 85755-85770 (2019) - [j9]Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya:
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - [j8]Moloud Abdar, Vivi Nur Wijayaningrum, Sadiq Hussain, Roohallah Alizadehsani, Pawel Plawiak, U. Rajendra Acharya, Vladimir Makarenkov:
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. J. Medical Syst. 43(7): 220:1-220:23 (2019) - [c4]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Roohallah Alizadehsani, Syed Moshfeq Salaken, Parham Mohsenzadeh Kebria, Rishi Puri, Saeid Nahavandi:
Parsimonious Evolutionary-based Model Development for Detecting Artery Disease. ICIT 2019: 800-805 - [c3]Parham M. Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward W. Tunstel, Mehrdad Saif:
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT 2019: 865-870 - 2018
- [j7]Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi:
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Comput. Methods Programs Biomed. 162: 119-127 (2018) - [c2]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi:
Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) 2018: 172-181 - [d4]Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Pouran Layegh:
Immunotherapy Dataset. UCI Machine Learning Repository, 2018
- [d3]Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Pouran Layegh:
Cryotherapy Dataset. UCI Machine Learning Repository, 2018 - 2017
- [j6]Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Abbas Khosravi, Pouran Layegh, Saeid Nahavandi:
An expert system for selecting wart treatment method. Comput. Biol. Medicine 81: 167-175 (2017) - [j5]Zeinab Arabasadi, Roohallah Alizadehsani, Mohamad Roshanzamir, Hossein Moosaei, Ali Asghar Yarifard:
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm. Comput. Methods Programs Biomed. 141: 19-26 (2017) - [d2]Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani:
Z-Alizadeh Sani. UCI Machine Learning Repository, 2017 - [d1]Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani:
extention of Z-Alizadeh sani dataset. UCI Machine Learning Repository, 2017 - 2016
- [j4]Roohallah Alizadehsani, Mohammad Hossein Zangooei, Mohammad Javad Hosseini, Jafar Habibi, Abbas Khosravi, Mohamad Roshanzamir, Fahime Khozeimeh, Nizal Sarrafzadegan, Saeid Nahavandi:
Coronary artery disease detection using computational intelligence methods. Knowl. Based Syst. 109: 187-197 (2016) - 2014
- [j3]Mohammad Hossein Zangooei, Jafar Habibi, Roohallah Alizadehsani:
Disease Diagnosis with a hybrid method SVR using NSGA-II. Neurocomputing 136: 14-29 (2014) - 2013
- [j2]Roohallah Alizadehsani, Jafar Habibi, Mohammad Javad Hosseini, Hoda Mashayekhi, Reihane Boghrati, Asma Ghandeharioun, Behdad Bahadorian, Zahra Alizadeh Sani:
A data mining approach for diagnosis of coronary artery disease. Comput. Methods Programs Biomed. 111(1): 52-61 (2013) - 2012
- [j1]Roohallah Alizadehsani, Mohammad Javad Hosseini, Reihane Boghrati, Asma Ghandeharioun, Fahime Khozeimeh, Zahra Alizadeh Sani:
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis. Int. J. Knowl. Discov. Bioinform. 3(1): 59-79 (2012) - [c1]Roohallah Alizadehsani, Mohammad Javad Hosseini, Zahra Alizadeh Sani, Asma Ghandeharioun, Reihane Boghrati:
Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms. ICDM Workshops 2012: 9-16
Coauthor Index
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