Moloud Abdar

Orcid: 0000-0002-3059-6357

According to our database1, Moloud Abdar authored at least 63 papers between 2017 and 2024.

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Bibliography

2024
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection.
Appl. Soft Comput., January, 2024

2023
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data.
IEEE Trans. Evol. Comput., December, 2023

SpinalNet: Deep Neural Network With Gradual Input.
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

A Review of Generalized Zero-Shot Learning Methods.
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

A Review of Deep Learning for Video Captioning.
CoRR, 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

Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring.
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

A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets.
Knowl. Based Syst., 2021

Automated detection of shockable ECG signals: A review.
Inf. Sci., 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

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis.
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

Insights into relevant knowledge extraction techniques: a comprehensive review.
J. Supercomput., 2020

Improving Sentiment Polarity Detection Through Target Identification.
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

A new nested ensemble technique for automated diagnosis of breast cancer.
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

The effect of aggregation methods on sentiment classification in Persian reviews.
Enterp. Inf. Syst., 2020

A Review of Generalized Zero-Shot Learning Methods.
CoRR, 2020

Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020).
CoRR, 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

Decision Tree Predictive Learner-Based Approach for False Alarm Detection in ICU.
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

Machine learning-based coronary artery disease diagnosis: A comprehensive review.
Comput. Biol. Medicine, 2019

Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring.
Appl. Soft Comput., 2019

A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition.
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

A Case Study of Predicting Banking Customers Behaviour by Using Data Mining.
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

An Ensemble-Based Decision Tree Approach for Educational Data Mining.
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

Using PSO Algorithm for Producing Best Rules in Diagnosis of Heart Disease.
Proceedings of the International Conference on Computer and Applications, 2017

Crowd Preference Mining and Analysis Based on Regional Characteristics on Airbnb.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

A Survey on Sharing Economy and Its Effect on Human Behavior Changes.
Proceedings of the 31st International Conference on Advanced Information Networking and Applications Workshops, 2017


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