Moloud Abdar
Orcid: 0000-0002-3059-6357
According to our database1,
Moloud Abdar
authored at least 67 papers
between 2017 and 2025.
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Bibliography
2025
Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation.
Inf. Fusion, 2025
2024
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020).
Ann. Oper. Res., August, 2024
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection.
Appl. Soft Comput., January, 2024
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data.
Swarm Evol. Comput., 2024
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging.
CoRR, 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data.
IEEE Trans. Evol. Comput., December, 2023
IEEE Trans. Artif. Intell., October, 2023
An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction.
IEEE Trans. Intell. Transp. Syst., September, 2023
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, September, 2023
Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review.
Briefings Bioinform., May, 2023
Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers.
IEEE J. Biomed. Health Informatics, April, 2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification.
IEEE Trans. Ind. Informatics, 2023
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection.
Inf. Fusion, 2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing.
CoRR, 2023
2022
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification.
IEEE Trans. Biomed. Eng., 2022
Remote. Sens., 2022
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries.
Expert Syst. J. Knowl. Eng., 2022
2021
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs.
Knowl. Based Syst., 2021
Knowl. Based Syst., 2021
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification.
Inf. Sci., 2021
A review of uncertainty quantification in deep learning: Techniques, applications and challenges.
Inf. Fusion, 2021
Future Gener. Comput. Syst., 2021
Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease.
Expert Syst. J. Knowl. Eng., 2021
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization.
CoRR, 2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection.
CoRR, 2021
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020.
Comput. Biol. Medicine, 2021
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.
Comput. Biol. Medicine, 2021
2020
A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews.
World Wide Web, 2020
J. Supercomput., 2020
IEEE Trans. Comput. Soc. Syst., 2020
Model uncertainty quantification for diagnosis of each main coronary artery stenosis.
Soft Comput., 2020
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals.
Sensors, 2020
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach.
Pattern Recognit. Lett., 2020
Pattern Recognit. Lett., 2020
A novel facial image recognition method based on perceptual hash using quintet triple binary pattern.
Multim. Tools Appl., 2020
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques.
Knowl. Based Syst., 2020
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring.
Inf. Sci., 2020
Enterp. Inf. Syst., 2020
Analysis of user preference and expectation on shared economy platform: An examination of correlation between points of interest on Airbnb.
Comput. Hum. Behav., 2020
2019
Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain.
Symmetry, 2019
J. Medical Syst., 2019
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.
J. Medical Syst., 2019
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., 2019
A novel machine learning approach for early detection of hepatocellular carcinoma patients.
Cogn. Syst. Res., 2019
A new machine learning technique for an accurate diagnosis of coronary artery disease.
Comput. Methods Programs Biomed., 2019
Comput. Biol. Medicine, 2019
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring.
Appl. Soft Comput., 2019
IEEE Access, 2019
Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals.
IEEE Access, 2019
NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease.
IEEE Access, 2019
Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach.
Proceedings of the IEEE 4th International Conference on Computer and Communication Systems, 2019
Proceedings of the 6th International Conference on Behavioral, 2019
2018
Event-based trend factor analysis based on hashtag correlation and temporal information mining.
Appl. Soft Comput., 2018
Proceedings of the 5th International Conference on Behavioral, 2018
2017
Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service.
Libr. Hi Tech, 2017
Sharing economy and its effect on human behaviour changes in accommodation: a survey on Airbnb.
Int. J. Soc. Humanist. Comput., 2017
Performance analysis of classification algorithms on early detection of liver disease.
Expert Syst. Appl., 2017
Design of A Universal User Model for Dynamic Crowd Preference Sensing and Decision-Making Behavior Analysis.
IEEE Access, 2017
Rule Optimization of Boosted C5.0 Classification Using Genetic Algorithm for Liver disease Prediction.
Proceedings of the International Conference on Computer and Applications, 2017
Proceedings of the International Conference on Computer and Applications, 2017
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017
Proceedings of the 31st International Conference on Advanced Information Networking and Applications Workshops, 2017