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Moloud Abdar
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2020 – today
- 2025
- [j53]Afsana Ahmed Munia, Moloud Abdar
, Mehedi Hasan, Mohammad S. Jalali, Biplab Banerjee, Abbas Khosravi, Ibrahim Hossain, Huazhu Fu, Alejandro F. Frangi
Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation. Inf. Fusion 115: 102719 (2025) - 2024
- [j52]Roohallah Alizadehsani
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) - [j51]Behrouz Ahadzadeh
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. Appl. Soft Comput. 151: 111141 (2024) - [j50]Behrouz Ahadzadeh
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. Swarm Evol. Comput. 91: 101715 (2024) - [c8]Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin Nair, Moloud Abdar, Biplab Banerjee:
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. CVPR 2024: 13309-13319 - [i13]Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin Nair, Moloud Abdar, Biplab Banerjee:
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. CoRR abs/2404.00710 (2024) - [i12]Zeinab Sherkatghanad, Moloud Abdar, Mohammadreza Bakhtyari, Vladimir Makarenkov:
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging. CoRR abs/2406.17640 (2024) - [i11]Kun Song, Ruben Solozabal, Li hao, Lu Ren, Moloud Abdar, Qing Li, Fakhri Karray, Martin Takác:
Enhance Hyperbolic Representation Learning via Second-order Pooling. CoRR abs/2410.22026 (2024) - 2023
- [j49]Zeinab Sherkatghanad, Moloud Abdar, Jérémy Charlier, Vladimir Makarenkov
Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review. Briefings Bioinform. 24(3) (2023) - [j48]Moloud Abdar
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion 90: 364-381 (2023) - [j47]Moloud Abdar
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. Inf. Fusion 97: 101813 (2023) - [j46]Farhad Pourpanah
A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4051-4070 (2023) - [j45]Hussain Mohammed Dipu Kabir
SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. 4(5): 1165-1177 (2023) - [j44]Behrouz Ahadzadeh
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data. IEEE Trans. Evol. Comput. 27(6): 1896-1911 (2023) - [j43]Moloud Abdar
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19(1): 274-285 (2023) - [j42]Behnaz Elhaminia
Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers. IEEE J. Biomed. Health Informatics 27(4): 1958-1966 (2023) - [j41]Mohammad Reza Chalak Qazani
An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. IEEE Trans. Intell. Transp. Syst. 24(9): 9191-9202 (2023) - [i10]Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj
SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data. CoRR abs/2303.10182 (2023) - [i9]Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR abs/2304.04906 (2023) - [i8]Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli:
A Review of Deep Learning for Video Captioning. CoRR abs/2304.11431 (2023) - 2022
- [j40]Roohallah Alizadehsani
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j39]Thomas Fisher
Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring. Remote. Sens. 14(13): 3072 (2022) - [j38]Zakaria Senousy
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. 69(2): 818-829 (2022) - 2021
- [j37]Roohallah Alizadehsani
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) - [j36]Moloud Abdar
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine 135: 104418 (2021) - [j35]Mariam Zomorodi Moghadam
Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Syst. J. Knowl. Eng. 38(1) (2021) - [j34]Mohammad Ehsan Basiri
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis. Future Gener. Comput. Syst. 115: 279-294 (2021) - [j33]Moloud Abdar
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76: 243-297 (2021) - [j32]Mohamed Hammad
Automated detection of shockable ECG signals: A review. Inf. Sci. 571: 580-604 (2021) - [j31]Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Inf. Sci. 577: 353-378 (2021) - [j30]Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets. Knowl. Based Syst. 228: 107242 (2021) - [j29]Mohamad Beheshti Roui
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Knowl. Based Syst. 231: 107419 (2021) - [i7]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi:
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. CoRR abs/2105.08590 (2021) - [i6]Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR abs/2108.10709 (2021) - [i5]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Moloud Abdar, AmirReza Tajally, Abbas Khosravi, Saeid Nahavandi, Henry Leung:
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization. CoRR abs/2110.03260 (2021) - 2020
- [j28]Moloud Abdar, Neil Y. Yen:
Analysis of user preference and expectation on shared economy platform: An examination of correlation between points of interest on Airbnb. Comput. Hum. Behav. 107: 105730 (2020) - [j27]Mohammad Ehsan Basiri
The effect of aggregation methods on sentiment classification in Persian reviews. Enterp. Inf. Syst. 14(9-10): 1394-1421 (2020) - [j26]Pawel Plawiak
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Inf. Sci. 516: 401-418 (2020) - [j25]Mohammad Ehsan Basiri, Moloud Abdar, Mehmet Akif Cifci, Shahla Nemati, U. Rajendra Acharya
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques. Knowl. Based Syst. 198: 105949 (2020) - [j24]Türker Tuncer, Sengül Dogan
A novel facial image recognition method based on perceptual hash using quintet triple binary pattern. Multim. Tools Appl. 79(39-40): 29573-29593 (2020) - [j23]Moloud Abdar
A new nested ensemble technique for automated diagnosis of breast cancer. Pattern Recognit. Lett. 132: 123-131 (2020) - [j22]Elham Nasarian, Moloud Abdar
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) - [j21]Catalin Stoean
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 (2020) - [j20]Roohallah Alizadehsani
Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. 24(13): 10149-10160 (2020) - [j19]Mohammad Ehsan Basiri
Improving Sentiment Polarity Detection Through Target Identification. IEEE Trans. Comput. Soc. Syst. 7(1): 113-128 (2020) - [j18]Abdul Shahid, Muhammad Tanvir Afzal
Insights into relevant knowledge extraction techniques: a comprehensive review. J. Supercomput. 76(3): 1695-1733 (2020) - [j17]Ummara Ahmed Chauhan, Muhammad Tanvir Afzal
A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews. World Wide Web 23(3): 1811-1829 (2020) - [i4]Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network with Gradual Input. CoRR abs/2007.03347 (2020) - [i3]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) - [i2]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR abs/2011.06225 (2020) - [i1]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang:
A Review of Generalized Zero-Shot Learning Methods. CoRR abs/2011.08641 (2020)
2010 – 2019
- 2019
- [j16]Afsaneh Koohestani, Moloud Abdar
Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals. IEEE Access 7: 98971-98992 (2019) - [j15]Moloud Abdar
NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease. IEEE Access 7: 167605-167620 (2019) - [j14]Shahla Nemati
A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition. IEEE Access 7: 172948-172964 (2019) - [j13]Pawel Plawiak
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring. Appl. Soft Comput. 84 (2019) - [j12]Roohallah Alizadehsani
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - [j11]Moloud Abdar
A new machine learning technique for an accurate diagnosis of coronary artery disease. Comput. Methods Programs Biomed. 179 (2019) - [j10]Wojciech Ksiazek
A novel machine learning approach for early detection of hepatocellular carcinoma patients. Cogn. Syst. Res. 54: 116-127 (2019) - [j9]Moloud Abdar
Corrigendum to "Performance Analysis of Classification Algorithms on early detection of Liver disease" [Expert Systems with Applications Volume 67 (2017) 239-251]. Expert Syst. Appl. 125: 442-443 (2019) - [j8]Tishya Manna
Decision Tree Predictive Learner-Based Approach for False Alarm Detection in ICU. J. Medical Syst. 43(7): 191:1-191:13 (2019) - [j7]Moloud Abdar
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. J. Medical Syst. 43(7): 220:1-220:23 (2019) - [j6]Türker Tuncer
Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain. Symmetry 11(6): 787 (2019) - [c7]Xujuan Zhou, Ghazal Bargshady
A Case Study of Predicting Banking Customers Behaviour by Using Data Mining. BESC 2019: 1-6 - [c6]Moloud Abdar
Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach. ICCCS 2019: 26-30 - 2018
- [j5]Heng Lee, Moloud Abdar
Event-based trend factor analysis based on hashtag correlation and temporal information mining. Appl. Soft Comput. 71: 1204-1215 (2018) - [c5]Moloud Abdar
An Ensemble-Based Decision Tree Approach for Educational Data Mining. BESC 2018: 126-129 - 2017
- [j4]Moloud Abdar
Design of A Universal User Model for Dynamic Crowd Preference Sensing and Decision-Making Behavior Analysis. IEEE Access 5: 24842-24852 (2017) - [j3]Moloud Abdar
Performance analysis of classification algorithms on early detection of liver disease. Expert Syst. Appl. 67: 239-251 (2017) - [j2]Moloud Abdar, Neil Y. Yen:
Sharing economy and its effect on human behaviour changes in accommodation: a survey on Airbnb. Int. J. Soc. Humanist. Comput. 2(3/4): 203-218 (2017) - [j1]Moloud Abdar
Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service. Libr. Hi Tech 35(4): 521-548 (2017) - [c4]Moloud Abdar
A Survey on Sharing Economy and Its Effect on Human Behavior Changes. AINA Workshops 2017: 99-103 - [c3]Moloud Abdar
Crowd Preference Mining and Analysis Based on Regional Characteristics on Airbnb. CYBCONF 2017: 1-6 - [c2]Mafazalyaqeen Hassoon, Mikhak Samadi Kouhi, Mariam Zomorodi Moghadam
Rule Optimization of Boosted C5.0 Classification Using Genetic Algorithm for Liver disease Prediction. ICCA 2017: 299-305 - [c1]Azhar Hussein Alkeshuosh, Mariam Zomorodi Moghadam
Using PSO Algorithm for Producing Best Rules in Diagnosis of Heart Disease. ICCA 2017: 306-311
Coauthor Index
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