A Survey on Sharing Economy and Its Effect on Human Behavior Changes. - Moloud Abdar; Neil Y. Yen (AINA Workshops, 2017)

Crowd Preference Mining and Analysis Based on Regional Characteristics on Airbnb. - Moloud Abdar; Kuan-Hua Lai; Neil Y. Yen (CYBCONF, 2017)

Using PSO Algorithm for Producing Best Rules in Diagnosis of Heart Disease. - Azhar Hussein Alkeshuosh; Mariam Zomorodi Moghadam; Inas Al Mansoori; Moloud Abdar (ICCA, 2017)

Rule Optimization of Boosted C5.0 Classification Using Genetic Algorithm for Liver disease Prediction. - Mafazalyaqeen Hassoon; Mikhak Samadi Kouhi; Mariam Zomorodi Moghadam; Moloud Abdar (ICCA, 2017)

Design of A Universal User Model for Dynamic Crowd Preference Sensing and Decision-Making Behavior Analysis. - Moloud Abdar; Neil Y. Yen (IEEE Access, 2017)

Performance analysis of classification algorithms on early detection of liver disease. - Moloud Abdar; Mariam Zomorodi Moghadam; Resul Das; I-Hsien Ting (Expert Syst. Appl., 2017)

Sharing economy and its effect on human behaviour changes in accommodation: a survey on Airbnb. - Moloud Abdar; Neil Y. Yen (Int. J. Soc. Humanist. Comput., 2017)

Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service. - Moloud Abdar; Neil Y. Yen (Libr. Hi Tech, 2017)

An Ensemble-Based Decision Tree Approach for Educational Data Mining. - Moloud Abdar; Mariam Zomorodi Moghadam; Xujuan Zhou (BESC, 2018)

Event-based trend factor analysis based on hashtag correlation and temporal information mining. - Heng Lee; Moloud Abdar; Neil Y. Yen (Appl. Soft Comput., 2018)

A Case Study of Predicting Banking Customers Behaviour by Using Data Mining. - Xujuan Zhou; Ghazal Bargshady; Moloud Abdar; Xiaohui Tao 001; Raj Gururajan; Ka Ching Chan (BESC, 2019)

Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach. - Moloud Abdar; Elham Nasarian; Xujuan Zhou; Ghazal Bargshady; Vivi Nur Wijayaningrum; Sadiq Hussain (ICCCS, 2019)

NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease. - Moloud Abdar; U. Rajendra Acharya; Nizal Sarrafzadegan; Vladimir Makarenkov (IEEE Access, 2019)

Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals. - Afsaneh Koohestani; Moloud Abdar; Abbas Khosravi; Saeid Nahavandi; Mahereh Koohestani (IEEE Access, 2019)

A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition. - Shahla Nemati; Reza Rohani; Mohammad Ehsan Basiri; Moloud Abdar; Neil Y. Yen; Vladimir Makarenkov (IEEE Access, 2019)

Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring. - Pawel Plawiak; Moloud Abdar; U. Rajendra Acharya (Appl. Soft Comput., 2019)

Machine learning-based coronary artery disease diagnosis: A comprehensive review. - Roohallah Alizadehsani; Moloud Abdar; Mohamad Roshanzamir; Abbas Khosravi; Parham M. Kebria; Fahime Khozeimeh; Saeid Nahavandi; Nizal Sarrafzadegan; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

A new machine learning technique for an accurate diagnosis of coronary artery disease. - Moloud Abdar; Wojciech Ksiazek; U. Rajendra Acharya; Ru-San Tan; Vladimir Makarenkov; Pawel Plawiak (Comput. Methods Programs Biomed., 2019)

A novel machine learning approach for early detection of hepatocellular carcinoma patients. - Wojciech Ksiazek; Moloud Abdar; U. Rajendra Acharya; Pawel Plawiak (Cogn. Syst. Res., 2019)

Corrigendum to "Performance Analysis of Classification Algorithms on early detection of Liver disease" [Expert Systems with Applications Volume 67 (2017) 239-251]. - Moloud Abdar; Mariam Zomorodi Moghadam; Resul Das; I-Hsien Ting (Expert Syst. Appl., 2019)

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. - Moloud Abdar; Vivi Nur Wijayaningrum; Sadiq Hussain; Roohallah Alizadehsani; Pawel Plawiak; U. Rajendra Acharya; Vladimir Makarenkov (J. Medical Syst., 2019)

Decision Tree Predictive Learner-Based Approach for False Alarm Detection in ICU. - Tishya Manna; Aleena Swetapadma; Moloud Abdar (J. Medical Syst., 2019)

Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain. - Türker Tuncer; Sengül Dogan; Moloud Abdar; Mohammad Ehsan Basiri; Pawel Plawiak (Symmetry, 2019)

Analysis of user preference and expectation on shared economy platform: An examination of correlation between points of interest on Airbnb. - Moloud Abdar; Neil Y. Yen (Comput. Hum. Behav., 2020)

A Review of Generalized Zero-Shot Learning Methods. - Farhad Pourpanah; Moloud Abdar; Yuxuan Luo; Xinlei Zhou; Ran Wang 001; Chee Peng Lim; Xi-Zhao Wang (CoRR, 2020)

The effect of aggregation methods on sentiment classification in Persian reviews. - Mohammad Ehsan Basiri; Arman Kabiri; Moloud Abdar; Wali Khan Mashwani; Neil Y. Yen; Jason C. Hung (Enterp. Inf. Syst., 2020)

DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. - Pawel Plawiak; Moloud Abdar; Joanna Plawiak; Vladimir Makarenkov; U. Rajendra Acharya (Inf. Sci., 2020)

A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques. - Mohammad Ehsan Basiri; Moloud Abdar; Mehmet Akif Cifci; Shahla Nemati; U. Rajendra Acharya (Knowl. Based Syst., 2020)

A novel facial image recognition method based on perceptual hash using quintet triple binary pattern. - Türker Tuncer; Sengül Dogan; Moloud Abdar; Pawel Plawiak (Multim. Tools Appl., 2020)

A new nested ensemble technique for automated diagnosis of breast cancer. - Moloud Abdar; Mariam Zomorodi Moghadam; Xujuan Zhou; Raj Gururajan; Xiaohui Tao 001; Prabal Datta Barua; Rashmi Gururajan (Pattern Recognit. Lett., 2020)

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. - 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 (Pattern Recognit. Lett., 2020)

Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. - Catalin Stoean; Ruxandra Stoean; Miguel A. Atencia Ruiz; Moloud Abdar; Luís Velázquez Pérez; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya; Gonzalo Joya (Sensors, 2020)

Model uncertainty quantification for diagnosis of each main coronary artery stenosis. - Roohallah Alizadehsani; Mohamad Roshanzamir; Moloud Abdar; Adham Beykikhoshk; Mohammad Hossein Zangooei; Abbas Khosravi; Saeid Nahavandi; Ru-San Tan; U. Rajendra Acharya (Soft Comput., 2020)

Improving Sentiment Polarity Detection Through Target Identification. - Mohammad Ehsan Basiri; Moloud Abdar; Arman Kabiri; Shahla Nemati; Xujuan Zhou; Forough Allahbakhshi; Neil Y. Yen (IEEE Trans. Comput. Soc. Syst., 2020)

Insights into relevant knowledge extraction techniques: a comprehensive review. - Abdul Shahid; Muhammad Tanvir Afzal; Moloud Abdar; Mohammad Ehsan Basiri; Xujuan Zhou; Neil Y. Yen; Jia-Wei Chang (J. Supercomput., 2020)

A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews. - Ummara Ahmed Chauhan; Muhammad Tanvir Afzal; Abdul Shahid; Moloud Abdar; Mohammad Ehsan Basiri; Xujuan Zhou (World Wide Web, 2020)

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. - Moloud Abdar; Maryam Samami; Sajjad Dehghani Mahmoodabad; Thang Doan; Bogdan Mazoure; Reza Hashemifesharaki; Li Liu 002; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Comput. Biol. Medicine, 2021)

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. - 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; et al. (Comput. Biol. Medicine, 2021)

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. - Moloud Abdar; Soorena Salari; Sina Qahremani; Hak-Keung Lam; Fakhri Karray; Sadiq Hussain; Abbas Khosravi; U. Rajendra Acharya; Saeid Nahavandi (CoRR, 2021)

Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization. - Afshar Shamsi Jokandan; Hamzeh Asgharnezhad; Moloud Abdar; AmirReza Tajally; Abbas Khosravi; Saeid Nahavandi; Henry Leung (CoRR, 2021)

Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. - Mariam Zomorodi Moghadam; Moloud Abdar; Zohreh Davarzani; Xujuan Zhou; Pawel Plawiak; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2021)

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis. - Mohammad Ehsan Basiri; Shahla Nemati; Moloud Abdar; Erik Cambria; U. Rajendra Acharya (Future Gener. Comput. Syst., 2021)

A review of uncertainty quantification in deep learning: Techniques, applications and challenges. - Moloud Abdar; Farhad Pourpanah; Sadiq Hussain; Dana Rezazadegan; Li Liu 002; Mohammad Ghavamzadeh; Paul W. Fieguth; Xiaochun Cao; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Inf. Fusion, 2021)

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. - Moloud Abdar; Mohammad Amin Fahami; Satarupa Chakrabarti; Abbas Khosravi; Pawel Plawiak; U. Rajendra Acharya; Ryszard Tadeusiewicz; Saeid Nahavandi (Inf. Sci., 2021)

Automated detection of shockable ECG signals: A review. - Mohamed Hammad; Kandala N. V. P. S. Rajesh; Amira Abdelatey; Moloud Abdar; Mariam Zomorodi Moghadam; Ru-San Tan; U. Rajendra Acharya; Joanna Plawiak; Ryszard Tadeusiewicz; Vladimir Makarenkov; Nizal Sarrafzadegan; Abbas Khosravi; et al. (Inf. Sci., 2021)

A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets. - Mohammad Ehsan Basiri; Shahla Nemati; Moloud Abdar; Somayeh Asadi; U. Rajendra Acharya (Knowl. Based Syst., 2021)

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. - Mohamad Beheshti Roui; Mariam Zomorodi; Masoomeh Sarvelayati; Moloud Abdar; Hamid Noori; Pawel Plawiak; Ryszard Tadeusiewicz; Xujuan Zhou; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya (Knowl. Based Syst., 2021)

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. - Roohallah Alizadehsani; Mohamad Roshanzamir; Moloud Abdar; Adham Beykikhoshk; Abbas Khosravi; Saeid Nahavandi; Pawel Plawiak; Ru-San Tan; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2022)

Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring. - Thomas Fisher; Harry Gibson; Yunzhe Liu 001; Moloud Abdar; Marius Posa; Gholamreza Salimi-Khorshidi; Abdelaali Hassaïne; Yutong Cai; Kazem Rahimi; Mohammad Mamouei (Remote. Sens., 2022)

MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. - Zakaria Senousy; Mohammed M. Abdelsamea; Mohamed Medhat Gaber; Moloud Abdar; U. Rajendra Acharya; Abbas Khosravi; Saeid Nahavandi (IEEE Trans. Biomed. Eng., 2022)

Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. - Mehedi Hasan; Moloud Abdar; Abbas Khosravi; Uwe Aickelin; Pietro Lio'; Ibrahim Hossain; Ashikur Rahman; Saeid Nahavandi (CoRR, 2023)

A Review of Deep Learning for Video Captioning. - Moloud Abdar; Meenakshi Kollati; Swaraja Kuraparthi; Farhad Pourpanah; Daniel McDuff; Mohammad Ghavamzadeh; Shuicheng Yan; Abduallah Mohamed; Abbas Khosravi; Erik Cambria; Fatih Porikli (CoRR, 2023)

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. - Moloud Abdar; Soorena Salari; Sina Qahremani; Hak-Keung Lam; Fakhri Karray; Sadiq Hussain; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Inf. Fusion, 2023)

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. - Moloud Abdar; Mohammad Amin Fahami; Leonardo Rundo; Petia Radeva; Alejandro F. Frangi; U. Rajendra Acharya; Abbas Khosravi; Hak-Keung Lam; Alexander Jung; Saeid Nahavandi (IEEE Trans. Ind. Informatics, 2023)

A Review of Generalized Zero-Shot Learning Methods. - Farhad Pourpanah; Moloud Abdar; Yuxuan Luo; Xinlei Zhou; Ran Wang 001; Chee Peng Lim; Xi-Zhao Wang; Q. M. Jonathan Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers. - Behnaz Elhaminia; Alexandra Gilbert; John Lilley; Moloud Abdar; Alejandro F. Frangi; Andrew F. Scarsbrook; Ane Appelt; Ali Gooya (IEEE J. Biomed. Health Informatics, 2023)

Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review. - Zeinab Sherkatghanad; Moloud Abdar; Jérémy Charlier; Vladimir Makarenkov (Briefings Bioinform., 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. - Moloud Abdar; Arash Mehrzadi; Milad Goudarzi; Farzad Masoudkabir; Leonardo Rundo; Mohammad Mamouei; Evis Sala; Abbas Khosravi; Vladimir Makarenkov; U. Rajendra Acharya; Seyedmohammad Saadatagah; Mohammadreza Naderian; et al. (Inf. Fusion, 2023)

An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. - Mohammad Reza Chalak Qazani; Houshyar Asadi; Yutao Chen; Moloud Abdar; Mansour A. Karkoub; Shady M. K. Mohamed; Chee Peng Lim; Saeid Nahavandi (IEEE Trans. Intell. Transp. Syst., 2023)

SpinalNet: Deep Neural Network With Gradual Input. - Hussain Mohammed Dipu Kabir; Moloud Abdar; Abbas Khosravi; Seyed Mohammad Jafar Jalali; Amir F. Atiya; Saeid Nahavandi; Dipti Srinivasan (IEEE Trans. Artif. Intell., 2023)

SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data. - Behrouz Ahadzadeh; Moloud Abdar; Fatemeh Safara; Abbas Khosravi; Mohammad Bagher Menhaj; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Evol. Comput., 2023)

Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. - Mainak Singha; Ankit Jha; Shirsha Bose; Ashwin R. Nair; Moloud Abdar; Biplab Banerjee (CVPR, 2024)

Can Commonsense Knowledge Improve CLIP's Performance in Cross-Domain VQA?✱. - Mohamad Hassan N C; Ankit Jha; Moloud Abdar; Biplab Banerjee (ICVGIP, 2024)

BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging. - Zeinab Sherkatghanad; Moloud Abdar; Mohammadreza Bakhtyari; Vladimir Makarenkov (CoRR, 2024)

Enhance Hyperbolic Representation Learning via Second-order Pooling. - Kun Song; Ruben Solozabal; Li hao; Lu Ren; Moloud Abdar; Qing Li 038; Fakhri Karray; Martin Takác 001 (CoRR, 2024)

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. - Behrouz Ahadzadeh; Moloud Abdar; Mahdieh Foroumandi; Fatemeh Safara; Abbas Khosravi; Salvador García 001; Ponnuthurai Nagaratnam Suganthan (Swarm Evol. Comput., 2024)

Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. - Behrouz Ahadzadeh; Moloud Abdar; Fatemeh Safara; Leyla Aghaei; Seyedali Mirjalili; Abbas Khosravi; Salvador García 001; Fakhri Karray; U. Rajendra Acharya (Appl. Soft Comput., 2024)

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). - 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; et al. (Ann. Oper. Res., 2024)

Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation. - Afsana Ahmed Munia; Moloud Abdar; Mehedi Hasan; Mohammad S. Jalali; Biplab Banerjee; Abbas Khosravi; Ibrahim Hossain; Huazhu Fu; Alejandro F. Frangi (Inf. Fusion, 2025)

BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging. - Zeinab Sherkatghanad; Moloud Abdar; Mohammadreza Bakhtyari; Pawel Plawiak; Vladimir Makarenkov (Knowl. Based Syst., 2025)

FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models. - Mainak Singha; Subhankar Roy; Sarthak Mehrotra; Ankit Jha; Moloud Abdar; Biplab Banerjee; Elisa Ricci 001 (CoRR, 2025)

ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning. - Tajamul Ashraf; Mohammed Mohsen Peerzada; Moloud Abdar; Yutong Xie 001; Yuyin Zhou; Xiaofeng Liu; Iqra Altaf Gillani; Janibul Bashir (CoRR, 2025)

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads. - Wei Jie Yeo; Rui Mao 010; Moloud Abdar; Erik Cambria; Ranjan Satapathy (CoRR, 2025)

Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. - Md Mehedi Hasan; Moloud Abdar; Abbas Khosravi; Uwe Aickelin; Pietro Lio; Ibrahim Hossain; Ashikur Rahman; Saeid Nahavandi (ACM Comput. Surv., 2025)