Moloud Abdar - RankMe

84 papers A* 1Journal 75Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FOCUS: Bridging Fine-Grained Recognition and Open-World Discovery across Domains. CoRR Vaibhav Rathore, Divyam Gupta, Moloud Abdar, Subhasis Chaudhuri, Biplab Banerjee
2026	J	`jnl`	GroundedSurg: A Multi-Procedure Benchmark for Language-Conditioned Surgical Tool Segmentation. CoRR Tajamul Ashraf, Abrar Ul Riyaz, Wasif Tak, Tavaheed Tariq, Sonia Yadav, Moloud Abdar, Janibul Bashir
2026	J	`jnl`	QTrack: Query-Driven Reasoning for Multi-modal MOT. CoRR Tajamul Ashraf, Tavaheed Tariq, Sonia Yadav, Abrar Ul Riyaz, Wasif Tak, Moloud Abdar, Janibul Bashir
2025	J	`jnl`	ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning. CoRR Tajamul Ashraf, Mohammed Mohsen Peerzada, Moloud Abdar, Yutong Xie, Yuyin Zhou, Xiaofeng Liu, Iqra Altaf Gillani, Janibul Bashir
2025	J	`jnl`	Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation. Inf. Fusion Afsana Ahmed Munia, Moloud Abdar, Mehedi Hasan, Mohammad S. Jalali, Biplab Banerjee, Abbas Khosravi, Ibrahim Hossain, Huazhu Fu, Alejandro F. Frangi
2025	J	`jnl`	BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging. Knowl. Based Syst. Zeinab Sherkatghanad, Moloud Abdar, Mohammadreza Bakhtyari, Pawel Plawiak, Vladimir Makarenkov
2025	J	`jnl`	Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads. CoRR Wei Jie Yeo, Rui Mao, Moloud Abdar, Erik Cambria, Ranjan Satapathy
2025	J	`jnl`	FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models. CoRR Mainak Singha, Subhankar Roy, Sarthak Mehrotra, Ankit Jha, Moloud Abdar, Biplab Banerjee, Elisa Ricci
2025	J	`jnl`	Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. ACM Comput. Surv. Md. Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
2025	J	`jnl`	UMP-Net: Uncertainty-Aware Mixture of Prompts Network for Efficient Instruction Tuning. Trans. Mach. Learn. Res. Fatemeh Daneshfar, Abdulhady Abas Abdullah, Moloud Abdar, Pietro Lio
2024	J	`jnl`	BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging. CoRR Zeinab Sherkatghanad, Moloud Abdar, Mohammadreza Bakhtyari, Vladimir Makarenkov
2024	—	`conf`	Can Commonsense Knowledge Improve CLIP's Performance in Cross-Domain VQA?✱. ICVGIP Mohamad Hassan N C, Ankit Jha, Moloud Abdar, Biplab Banerjee
2024	J	`jnl`	Enhance Hyperbolic Representation Learning via Second-order Pooling. CoRR Kun Song, Ruben Solozabal, Li Hao, Lu Ren, Moloud Abdar, Qing Li, Fakhri Karray, Martin Takác
2024	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 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
2024	J	`jnl`	Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. Appl. Soft Comput. Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya
2024	J	`jnl`	UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. Swarm Evol. Comput. Behrouz Ahadzadeh, Moloud Abdar, Mahdieh Foroumandi, Fatemeh Safara, Abbas Khosravi, Salvador García, Ponnuthurai Nagaratnam Suganthan
2024	A*	`conf`	Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. CVPR Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin R. Nair, Moloud Abdar, Biplab Banerjee
2024	J	`jnl`	Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. CoRR Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin R. Nair, Moloud Abdar, Biplab Banerjee
2023	J	`jnl`	A Review of Deep Learning for Video Captioning. CoRR Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli
2023	J	`jnl`	A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu
2023	J	`jnl`	An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. IEEE Trans. Intell. Transp. Syst. Mohammad Reza Chalak Qazani, Houshyar Asadi, Yutao Chen, Moloud Abdar, Mansour A. Karkoub, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi
2023	J	`jnl`	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 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, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi
2023	J	`jnl`	Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi
2023	J	`jnl`	SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data. CoRR Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan
2023	J	`jnl`	SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data. IEEE Trans. Evol. Comput. Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan
2023	J	`jnl`	SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
2023	J	`jnl`	Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
2023	J	`jnl`	Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers. IEEE J. Biomed. Health Informatics Behnaz Elhaminia, Alexandra Gilbert, John Lilley, Moloud Abdar, Alejandro F. Frangi, Andrew F. Scarsbrook, Ane Appelt, Ali Gooya
2023	J	`jnl`	UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2023	J	`jnl`	Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review. Briefings Bioinform. Zeinab Sherkatghanad, Moloud Abdar, Jérémy Charlier, Vladimir Makarenkov
2022	J	`jnl`	Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru-San Tan, U. Rajendra Acharya
2022	J	`jnl`	MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
2022	J	`jnl`	Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring. Remote. Sens. Thomas Fisher, Harry Gibson, Yunzhe Liu, Moloud Abdar, Marius Posa, Gholamreza Salimi-Khorshidi, Abdelaali Hassaïne, Yutong Cai, Kazem Rahimi, Mohammad Mamouei
2021	J	`jnl`	A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Knowl. Based Syst. Mohamad Beheshti Roui, Mariam Zomorodi, Masoomeh Sarvelayati, Moloud Abdar, Hamid Noori, Pawel Plawiak, Ryszard Tadeusiewicz, Xujuan Zhou, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya
2021	J	`jnl`	A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets. Knowl. Based Syst. Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Somayeh Asadi, U. Rajendra Acharya
2021	J	`jnl`	A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 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
2021	J	`jnl`	ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis. Future Gener. Comput. Syst. Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Erik Cambria, U. Rajendra Acharya
2021	J	`jnl`	Automated detection of shockable ECG signals: A review. Inf. Sci. 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, Saeid Nahavandi, Ahmed A. Abd El-Latif, Pawel Plawiak
2021	J	`jnl`	BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Inf. Sci. Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, Abbas Khosravi, Pawel Plawiak, U. Rajendra Acharya, Ryszard Tadeusiewicz, Saeid Nahavandi
2021	J	`jnl`	Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 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, Rishi Puri, Samir Kapadia, Ru-San Tan, U. Rajendra Acharya
2021	J	`jnl`	Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Syst. J. Knowl. Eng. Mariam Zomorodi Moghadam, Moloud Abdar, Zohreh Davarzani, Xujuan Zhou, Pawel Plawiak, U. Rajendra Acharya
2021	J	`jnl`	Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization. CoRR Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Moloud Abdar, AmirReza Tajally, Abbas Khosravi, Saeid Nahavandi, Henry Leung
2021	J	`jnl`	MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2021	J	`jnl`	UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. CoRR Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi
2020	J	`jnl`	A Review of Generalized Zero-Shot Learning Methods. CoRR Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang
2020	J	`jnl`	A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR 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
2020	J	`jnl`	A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews. World Wide Web Ummara Ahmed Chauhan, Muhammad Tanvir Afzal, Abdul Shahid, Moloud Abdar, Mohammad Ehsan Basiri, Xujuan Zhou
2020	J	`jnl`	A new nested ensemble technique for automated diagnosis of breast cancer. Pattern Recognit. Lett. Moloud Abdar, Mariam Zomorodi Moghadam, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Prabal Datta Barua, Rashmi Gururajan
2020	J	`jnl`	A novel facial image recognition method based on perceptual hash using quintet triple binary pattern. Multim. Tools Appl. Türker Tuncer, Sengül Dogan, Moloud Abdar, Pawel Plawiak
2020	J	`jnl`	A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques. Knowl. Based Syst. Mohammad Ehsan Basiri, Moloud Abdar, Mehmet Akif Cifci, Shahla Nemati, U. Rajendra Acharya
2020	J	`jnl`	Analysis of user preference and expectation on shared economy platform: An examination of correlation between points of interest on Airbnb. Comput. Hum. Behav. Moloud Abdar, Neil Y. Yen
2020	J	`jnl`	Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognit. Lett. 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
2020	J	`jnl`	Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya
2020	J	`jnl`	DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Inf. Sci. Pawel Plawiak, Moloud Abdar, Joanna Plawiak, Vladimir Makarenkov, U. Rajendra Acharya
2020	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR 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
2020	J	`jnl`	Improving Sentiment Polarity Detection Through Target Identification. IEEE Trans. Comput. Soc. Syst. Mohammad Ehsan Basiri, Moloud Abdar, Arman Kabiri, Shahla Nemati, Xujuan Zhou, Forough Allahbakhshi, Neil Y. Yen
2020	J	`jnl`	Insights into relevant knowledge extraction techniques: a comprehensive review. J. Supercomput. Abdul Shahid, Muhammad Tanvir Afzal, Moloud Abdar, Mohammad Ehsan Basiri, Xujuan Zhou, Neil Y. Yen, Jia-Wei Chang
2020	J	`jnl`	Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru-San Tan, U. Rajendra Acharya
2020	J	`jnl`	SpinalNet: Deep Neural Network with Gradual Input. CoRR Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
2020	J	`jnl`	The effect of aggregation methods on sentiment classification in Persian reviews. Enterp. Inf. Syst. Mohammad Ehsan Basiri, Arman Kabiri, Moloud Abdar, Wali Khan Mashwani, Neil Y. Yen, Jason C. Hung
2019	—	`conf`	A Case Study of Predicting Banking Customers Behaviour by Using Data Mining. BESC Xujuan Zhou, Ghazal Bargshady, Moloud Abdar, Xiaohui Tao, Raj Gururajan, Ka Ching Chan
2019	J	`jnl`	A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition. IEEE Access Shahla Nemati, Reza Rohani, Mohammad Ehsan Basiri, Moloud Abdar, Neil Y. Yen, Vladimir Makarenkov
2019	J	`jnl`	A new machine learning technique for an accurate diagnosis of coronary artery disease. Comput. Methods Programs Biomed. Moloud Abdar, Wojciech Ksiazek, U. Rajendra Acharya, Ru-San Tan, Vladimir Makarenkov, Pawel Plawiak
2019	J	`jnl`	A novel machine learning approach for early detection of hepatocellular carcinoma patients. Cogn. Syst. Res. Wojciech Ksiazek, Moloud Abdar, U. Rajendra Acharya, Pawel Plawiak
2019	J	`jnl`	Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring. Appl. Soft Comput. Pawel Plawiak, Moloud Abdar, U. Rajendra Acharya
2019	J	`jnl`	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. Moloud Abdar, Mariam Zomorodi Moghadam, Resul Das, I-Hsien Ting
2019	J	`jnl`	Decision Tree Predictive Learner-Based Approach for False Alarm Detection in ICU. J. Medical Syst. Tishya Manna, Aleena Swetapadma, Moloud Abdar
2019	J	`jnl`	Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain. Symmetry Türker Tuncer, Sengül Dogan, Moloud Abdar, Mohammad Ehsan Basiri, Pawel Plawiak
2019	J	`jnl`	IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. J. Medical Syst. Moloud Abdar, Vivi Nur Wijayaningrum, Sadiq Hussain, Roohallah Alizadehsani, Pawel Plawiak, U. Rajendra Acharya, Vladimir Makarenkov
2019	J	`jnl`	Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals. IEEE Access Afsaneh Koohestani, Moloud Abdar, Abbas Khosravi, Saeid Nahavandi, Mahereh Koohestani
2019	J	`jnl`	Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya
2019	J	`jnl`	NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease. IEEE Access Moloud Abdar, U. Rajendra Acharya, Nizal Sarrafzadegan, Vladimir Makarenkov
2019	—	`conf`	Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach. ICCCS Moloud Abdar, Elham Nasarian, Xujuan Zhou, Ghazal Bargshady, Vivi Nur Wijayaningrum, Sadiq Hussain
2018	—	`conf`	An Ensemble-Based Decision Tree Approach for Educational Data Mining. BESC Moloud Abdar, Mariam Zomorodi Moghadam, Xujuan Zhou
2018	J	`jnl`	Event-based trend factor analysis based on hashtag correlation and temporal information mining. Appl. Soft Comput. Heng Lee, Moloud Abdar, Neil Y. Yen
2017	—	`conf`	A Survey on Sharing Economy and Its Effect on Human Behavior Changes. AINA Workshops Moloud Abdar, Neil Y. Yen
2017	—	`conf`	Crowd Preference Mining and Analysis Based on Regional Characteristics on Airbnb. CYBCONF Moloud Abdar, Kuan-Hua Lai, Neil Y. Yen
2017	J	`jnl`	Design of A Universal User Model for Dynamic Crowd Preference Sensing and Decision-Making Behavior Analysis. IEEE Access Moloud Abdar, Neil Y. Yen
2017	J	`jnl`	Performance analysis of classification algorithms on early detection of liver disease. Expert Syst. Appl. Moloud Abdar, Mariam Zomorodi Moghadam, Resul Das, I-Hsien Ting
2017	—	`conf`	Rule Optimization of Boosted C5.0 Classification Using Genetic Algorithm for Liver disease Prediction. ICCA Mafazalyaqeen Hassoon, Mikhak Samadi Kouhi, Mariam Zomorodi Moghadam, Moloud Abdar
2017	J	`jnl`	Sharing economy and its effect on human behaviour changes in accommodation: a survey on Airbnb. Int. J. Soc. Humanist. Comput. Moloud Abdar, Neil Y. Yen
2017	J	`jnl`	Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service. Libr. Hi Tech Moloud Abdar, Neil Y. Yen
2017	—	`conf`	Using PSO Algorithm for Producing Best Rules in Diagnosis of Heart Disease. ICCA Azhar Hussein Alkeshuosh, Mariam Zomorodi Moghadam, Inas Al Mansoori, Moloud Abdar