Moloud Abdar

发表

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2020, Comput. Biol. Medicine.

Machine learning-based coronary artery disease diagnosis: A comprehensive review

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2019, Comput. Biol. Medicine.

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges pdf

Li Liu, Xiaochun Cao, Abbas Khosravi, 2020, Inf. Fusion.

Insights into relevant knowledge extraction techniques: a comprehensive review

Mohammad Ehsan Basiri, Xujuan Zhou, N. Yen, 2019, The Journal of Supercomputing.

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification

Alejandro F Frangi, Mohammad Amin Fahami, Alejandro F. Frangi, 2023, IEEE Transactions on Industrial Informatics.

Energy choices in Alaska: Mining people's perception and attitudes from geotagged tweets

Guangqing Chi, Junjun Yin, Mohammad Ehsan Basiri, 2020 .

NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease

U. Rajendra Acharya, Moloud Abdar, Vladimir Makarenkov, 2019, IEEE Access.

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

Erik Cambria, Mohammad Ehsan Basiri, Shahla Nemati, 2021, Future Gener. Comput. Syst..

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020) pdf

Amir F. Atiya, U. Rajendra Acharya, Afshin Shoeibi, 2020, Annals of operations research.

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach

U. Rajendra Acharya, Sadiq Hussain, Roohallah Alizadehsani, 2020, Pattern Recognit. Lett..

A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets

Mohammad Ehsan Basiri, S. Asadi, M. Abdar, 2021, Knowledge-Based Systems.

A Review of Deep Learning for Video Captioning

Daniel J. McDuff, Abduallah A. Mohamed, M. Ghavamzadeh, 2023, ArXiv.

Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review

V. Makarenkov, M. Abdar, Jérémy Charlier, 2023, Briefings Bioinform..

Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms

Bogdan Mazoure, V. Makarenkov, M. Abdar, 2022, PloS one.

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection

H. Lam, F. Karray, S. Nahavandi, 2021, Information Fusion.

DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

U. Rajendra Acharya, Moloud Abdar, Vladimir Makarenkov, 2020, Inf. Sci..

Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring

U. Rajendra Acharya, Moloud Abdar, Pawel Plawiak, 2019, Appl. Soft Comput..

Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network

U. Rajendra Acharya, Moloud Abdar, Zeinab Sherkatghanad, 2020, Frontiers in Neuroscience.

A Review of Generalized Zero-Shot Learning Methods

M. Abdar, Farhad Pourpanah, Yuxuan Luo, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The effect of aggregation methods on sentiment classification in Persian reviews

Moloud Abdar, Neil Y. Yen, Wali Khan Mashwani, 2020, Enterp. Inf. Syst..

A new nested ensemble technique for automated diagnosis of breast cancer

Xujuan Zhou, Moloud Abdar, Raj Gururajan, 2020, Pattern Recognit. Lett..

A new machine learning technique for an accurate diagnosis of coronary artery disease

U. Rajendra Acharya, Moloud Abdar, Ru San Tan, 2019, Comput. Methods Programs Biomed..

A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews

Muhammad Tanvir Afzal, Mohammad Ehsan Basiri, Abdul Shahid, 2020, World Wide Web.

SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data

P. Suganthan, A. Khosravi, M. Menhaj, 2023, IEEE Transactions on Evolutionary Computation.

Automated detection of shockable ECG signals: A review

Saeid Nahavandi, Ahmed A. Abd El-Latif, Abbas Khosravi, 2021, Inf. Sci..

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

Saeid Nahavandi, Abbas Khosravi, Moloud Abdar, 2021, Comput. Biol. Medicine.

Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases

Tole Sutikno, Moloud Abdar, Goli Arji, 2015 .

A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques

U. Rajendra Acharya, Moloud Abdar, Mohammad Ehsan Basiri, 2020, Knowl. Based Syst..

Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm

L. Rundo, N. Sarrafzadegan, E. Sala, 2023, Inf. Fusion.

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs

S. Nahavandi, U. Acharya, A. Khosravi, 2021, Knowl. Based Syst..

Impact of Patients’ Gender on Parkinson’s disease using Classification Algorithms

Moloud Abdar, Mariam Zomorodi-Moghadam, M. Abdar, 2018 .

Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing

A. Khosravi, U. Aickelin, Saeid Nahavandi, 2023, ArXiv.

The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process

Sheikh Mohammed Shariful Islam, A. Vasilakos, A. Khosravi, 2022, IEEE Systems, Man, and Cybernetics Magazine.

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

Saeid Nahavandi, Abbas Khosravi, Ryszard Tadeusiewicz, 2021, Inf. Sci..

A database for using machine learning and data mining techniques for coronary artery disease diagnosis

S. Nahavandi, R. Alizadehsani, M. Roshanzamir, 2019, Scientific Data.

Sharing economy and its effect on human behaviour changes in accommodation: a survey on Airbnb

Moloud Abdar, Neil Y. Yen, N. Yen, 2017, Int. J. Soc. Humanist. Comput..

Model uncertainty quantification for diagnosis of each main coronary artery stenosis

U. Rajendra Acharya, Roohallah Alizadehsani, Abbas Khosravi, 2020, Soft Comput..

Synthetic Datasets for Numeric Uncertainty Quantification: Proposing Datasets for Future Researchers

Shady M. K. Mohamed, D. Srinivasan, P. Suganthan, 2023, IEEE Systems, Man, and Cybernetics Magazine.

Performance analysis of classification algorithms on early detection of liver disease

Moloud Abdar, I-Hsien Ting, Mariam Zomorodi Moghadam, 2017, Expert Syst. Appl..

CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer

Moloud Abdar, Vladimir Makarenkov, V. Makarenkov, 2019, Measurement.

Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals

Saeid Nahavandi, Abbas Khosravi, Moloud Abdar, 2019, IEEE Access.

A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition

Moloud Abdar, Neil Y. Yen, Mohammad Ehsan Basiri, 2019, IEEE Access.

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

Moloud Abdar, Aleena Swetapadma, Tishya Manna, 2019, Journal of Medical Systems.

Novel Methodology for Cardiac Arrhythmias Classification Based on Long-Duration ECG Signal Fragments Analysis

Moloud Abdar, Paweł Pławiak, Pawel Plawiak, 2019, Series in BioEngineering.

A Novel Effective Ensemble Model for Early Detection of Coronary Artery Disease

Moloud Abdar, Vladimir Makarenkov, Nadia Tahiri, 2019 .

Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals

Saeid Nahavandi, U. Rajendra Acharya, Abbas Khosravi, 2020, Sensors.

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection

Sadiq Hussain, Soorena Salari, Sina Qahremani, 2021, ArXiv.

A Survey and Compare the Performance of IBM SPSS Modeler and Rapid Miner Software for Predicting Liver Disease by Using Various Data Mining Algorithms

Moloud Abdar, M. Abdar, Moloud Abdar, 2015 .

Improving the Diagnosis of Liver Disease Using Multilayer Perceptron Neural Network and Boosted Decision Trees

Moloud Abdar, Neil Y. Yen, Jason C. Hung, 2018 .

Improving the Diagnosis of Liver Disease Using Multilayer Perceptron Neural Network and Boosted Decision Trees

N. Yen, M. Abdar, J. C. Hung, 2017, Journal of Medical and Biological Engineering.

Improved Binary Differential Evolution with Dimensionality Reduction Mechanism and Binary Stochastic Search for Feature Selection

F. Safara, Behrouz Ahadzadeh, Moloud Abdar, 2023, Applied Soft Computing.

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

M. Ghavamzadeh, P. Fieguth, Xiaochun Cao, 2020, Inf. Fusion.

A Review of Generalized Zero-Shot Learning Methods

Farhad Pourpanah, Yuxuan Luo, Xinlei Zhou, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service

Moloud Abdar, Neil Y. Yen, N. Yen, 2017, Libr. Hi Tech.

Rule Optimization of Boosted C5.0 Classification Using Genetic Algorithm for Liver disease Prediction

Moloud Abdar, Mariam Zomorodi-Moghadam, Mafazalyaqeen Hassoon, 2017, 2017 International Conference on Computer and Applications (ICCA).

Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries

Saeid Nahavandi, U. Rajendra Acharya, Roohallah Alizadehsani, 2020, Expert Syst. J. Knowl. Eng..

Event-based trend factor analysis based on hashtag correlation and temporal information mining

Moloud Abdar, Neil Y. Yen, Heng Lee, 2018, Appl. Soft Comput..

Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach

Xujuan Zhou, Moloud Abdar, Sadiq Hussain, 2019, 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS).

Crowd Preference Mining and Analysis Based on Regional Characteristics on Airbnb

Moloud Abdar, Neil Y. Yen, Kuan-Hua Lai, 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization pdf

Saeid Nahavandi, Abbas Khosravi, Moloud Abdar, 2021, ArXiv.

Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization

Shirsha Bose, Ankit Jha, M. Singha, 2024, ArXiv.

MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

Saeid Nahavandi, Mohamed Medhat Gaber, Zakaria Senousy, 2021, IEEE Transactions on Biomedical Engineering.

Predicting Risk of Acute Appendicitis: A Comparison of Artificial Neural Network and Logistic Regression Models

M. Abdar, R. Safdari, L. Shahmoradi, 2018 .

A novel machine learning approach for early detection of hepatocellular carcinoma patients

U. Rajendra Acharya, Moloud Abdar, Pawel Plawiak, 2019, Cognitive Systems Research.

SpinalNet: Deep Neural Network With Gradual Input

A. Atiya, D. Srinivasan, S. Nahavandi, 2020, IEEE Transactions on Artificial Intelligence.