|
2023 Journal Article SFE: a simple, fast, and efficient feature selection algorithm for high-dimensional dataAhadzadeh, Behrouz, Abdar, Moloud, Safara, Fatemeh, Khosravi, Abbas, Menhaj, Mohammad Bagher and Suganthan, Ponnuthurai Nagaratnam (2023). SFE: a simple, fast, and efficient feature selection algorithm for high-dimensional data. IEEE Transactions on Evolutionary Computation, 27 (6), 1896-1911. doi: 10.1109/TEVC.2023.3238420 |
|
2023 Journal Article Hercules: deep hierarchical attentive multilevel fusion model with uncertainty quantification for medical image classificationAbdar, Moloud, Fahami, Mohammad Amin, Rundo, Leonardo, Radeva, Petia, Frangi, Alejandro F., Acharya, U. Rajendra, Khosravi, Abbas, Lam, Hak-Keung, Jung, Alexander and Nahavandi, Saeid (2023). Hercules: deep hierarchical attentive multilevel fusion model with uncertainty quantification for medical image classification. IEEE Transactions on Industrial Informatics, 19 (1), 274-285. doi: 10.1109/tii.2022.3168887 |
|
2022 Journal Article Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithmsChabane, Nail, Bouaoune, Achraf, Tighilt, Reda, Abdar, Moloud, Boc, Alix, Lord, Etienne, Tahiri, Nadia, Mazoure, Bogdan, Rajendra Acharya, U. and Makarenkov, Vladimir (2022). Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms. PLoS ONE, 17 (12 December) e0278364, 1-30. doi: 10.1371/journal.pone.0278364 |
|
2022 Journal Article Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteriesAlizadehsani, Roohallah, Roshanzamir, Mohamad, Abdar, Moloud, Beykikhoshk, Adham, Khosravi, Abbas, Nahavandi, Saeid, Plawiak, Pawel, Tan, Ru San and Acharya, U Rajendra (2022). Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Systems, 39 (7) e12573, 1-17. doi: 10.1111/exsy.12573 |
|
2022 Journal Article Uncertainty-aware interpretable deep learning for slum mapping and monitoringFisher, Thomas, Gibson, Harry, Liu, Yunzhe, Abdar, Moloud, Posa, Marius, Salimi-Khorshidi, Gholamreza, Hassaine, Abdelaali, Cai, Yutong, Rahimi, Kazem and Mamouei, Mohammad (2022). Uncertainty-aware interpretable deep learning for slum mapping and monitoring. Remote Sensing, 14 (13) 3072, 1-17. doi: 10.3390/rs14133072 |
|
2022 Journal Article A review of generalized zero-shot learning methodsPourpanah, Farhad, Abdar, Moloud, Luo, Yuxuan, Zhou, Xinlei, Wang, Ran, Lim, Chee Peng, Wang, Xi-Zhao and Wu, Q. M. Jonathan (2022). A review of generalized zero-shot learning methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (4), 4051-4070. doi: 10.1109/tpami.2022.3191696 |
|
2022 Journal Article MCUa: Multi-Level Context and Uncertainty aware dynamic deep ensemble for breast cancer histology image classificationSenousy, Zakaria, Abdelsamea, Mohammed M., Gaber, Mohamed Medhat, Abdar, Moloud, Acharya, U Rajendra, Khosravi, Abbas and Nahavandi, Saeid (2022). MCUa: Multi-Level Context and Uncertainty aware dynamic deep ensemble for breast cancer histology image classification. IEEE Transactions on Biomedical Engineering, 69 (2), 818-829. doi: 10.1109/tbme.2021.3107446 |
|
2021 Journal Article A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUsBeheshti Roui, Mohammad, Zomorodi, Mariam, Sarvelayati, Masoomeh, Abdar, Moloud, Noori, Hamid, Pławiak, Paweł, Tadeusiewicz, Ryszard, Zhou, Xujuan, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra (2021). A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Knowledge-Based Systems, 231 107419, 107419. doi: 10.1016/j.knosys.2021.107419 |
|
2021 Journal Article BARF: a new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classificationAbdar, Moloud, Fahami, Mohammad Amin, Chakrabarti, Satarupa, Khosravi, Abbas, Pławiak, Paweł, Acharya, U. Rajendra, Tadeusiewicz, Ryszard and Nahavandi, Saeid (2021). BARF: a new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Information Sciences, 577, 353-378. doi: 10.1016/j.ins.2021.07.024 |
|
2021 Journal Article A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweetsBasiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Asadi, Somayeh and Acharrya, U. Rajendra (2021). A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets. Knowledge-Based Systems, 228 107242, 1-21. doi: 10.1016/j.knosys.2021.107242 |
|
2021 Journal Article Automated detection of shockable ECG signals: a reviewHammad, Mohamed, Kandala, Rajesh N. V. P. S., Abdelatey, Amira, Abdar, Moloud, Zomorodi‐Moghadam, Mariam, Tan, Ru San, Acharya, U. Rajendra, Pławiak, Joanna, Tadeusiewicz, Ryszard, Makarenkov, Vladimir, Sarrafzadegan, Nizal, Khosravi, Abbas, Nahavandi, Saeid, EL-Latif, Ahmed A. Abd and Pławiak, Paweł (2021). Automated detection of shockable ECG signals: a review. Information Sciences, 571, 580-604. doi: 10.1016/j.ins.2021.05.035 |
|
2021 Journal Article Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learningAbdar, Moloud, Samami, Maryam, Dehghani Mahmoodabad, Sajjad, Doan, Thang, Mazoure, Bogdan, Hashemifesharaki, Reza, Liu, Li, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, Saeid (2021). Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Computers in Biology and Medicine, 135 104418, 1-17. doi: 10.1016/j.compbiomed.2021.104418 |
|
2021 Journal Article A review of uncertainty quantification in deep learning: techniques, applications and challengesAbdar, Moloud, Pourpanah, Farhad, Hussain, Sadiq, Rezazadegan, Dana, Liu, Li, Ghavamzadeh, Mohammad, Fieguth, Paul, Cao, Xiaochun, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, Saeid (2021). A review of uncertainty quantification in deep learning: techniques, applications and challenges. Information Fusion, 76, 243-297. doi: 10.1016/j.inffus.2021.05.008 |
|
2021 Journal Article ABCDM: an Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysisBasiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik and Acharya, U. Rajendra (2021). ABCDM: an Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis. Future Generation Computer Systems, 115, 279-294. doi: 10.1016/j.future.2020.08.005 |
|
2021 Journal Article Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020Alizadehsani, Roohallah, Khosravi, Abbas, Roshanzamir, Mohamad, Abdar, Moloud, Sarrafzadegan, Nizal, Shafie, Davood, Khozeimeh, Fahime, Shoeibi, Afshin, Nahavandi, Saeid, Panahiazar, Maryam, Bishara, Andrew, Beygui, Ramin E., Puri, Rishi, Kapadia, Samir, Tan, Ru-San and Acharya, U Rajendra (2021). Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020. Computers in Biology and Medicine, 128 104095, 1-16. doi: 10.1016/j.compbiomed.2020.104095 |
|
2021 Journal Article Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery diseaseZomorodi-moghadam, Mariam, Abdar, Moloud, Davarzani, Zohreh, Zhou, Xujuan, Pławiak, Pawel and Acharya, U.Rajendra (2021). Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Systems, 38 (1) e12485. doi: 10.1111/exsy.12485 |
|
2020 Journal Article Model uncertainty quantification for diagnosis of each main coronary artery stenosisAlizadehsani, Roohallah, Roshanzamir, Mohamad, Abdar, Moloud, Beykikhoshk, Adham, Zangooei, Mohammad Hossein, Khosravi, Abbas, Nahavandi, Saeid, Tan, Ru San and Acharya, U. Rajendra (2020). Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Computing, 24 (13), 10149-10160. doi: 10.1007/s00500-019-04531-0 |
|
2020 Journal Article A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniquesBasiri, Mohammad Ehsan, Abdar, Moloud, Cifci, Mehmet Akif, Nemati, Shahla and Acharya, U. Rajendra (2020). A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques. Knowledge-Based Systems, 198 105949, 1-19. doi: 10.1016/j.knosys.2020.105949 |
|
2020 Journal Article Automated detection of presymptomatic conditions in spinocerebellar ataxia type 2 using monte carlo dropout and deep neural network techniques with electrooculogram signalsStoean, Catalin, Stoean, Ruxandra, Atencia, Miguel, Abdar, Moloud, Velázquez-Pérez, Luis, Khosravi, Abbas, Nahavandi, Saeid, Rajendra Acharya, U. and Joya, Gonzalo (2020). Automated detection of presymptomatic conditions in spinocerebellar ataxia type 2 using monte carlo dropout and deep neural network techniques with electrooculogram signals. Sensors, 20 (11) 3032, 1-16. doi: 10.3390/s20113032 |
|
2020 Journal Article Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approachNasarian, Elham, Abdar, Moloud, Fahami, Mohammad Amin, Alizadehsani, Roohallah, Hussain, Sadiq, Basiri, Mohammad Ehsan, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Pławiak, Paweł, Acharya, U. Rajendra, Tan, Ru-San and Sarrafzadegan, Nizal (2020). Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognition Letters, 133, 33-40. doi: 10.1016/j.patrec.2020.02.010 |
