재정 지원 요구사항을 통해 공개된 자료 - Moloud Abdar자세히 알아보기
공개 거부 자료: 3개
The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process
M Abdar, A Khosravi, SMS Islam, UR Acharya, AV Vasilakos
IEEE Systems, Man, and Cybernetics Magazine 8 (3), 28-40, 2022
재정 지원 요구사항 정책: Australian Research Council
업로드 담당 저자: A Khosravi
An optimal nonlinear model predictive control-based motion cueing algorithm using cascade optimization and human interaction
MRC Qazani, H Asadi, Y Chen, M Abdar, M Karkoub, S Mohamed, ...
IEEE Transactions on Intelligent Transportation Systems 24 (9), 9191-9202, 2023
재정 지원 요구사항 정책: Australian Research Council
업로드 담당 저자: H Asadi, CP Lim, S Mohamed, S Nahavandi, MRC Qazani
Machine learning in electroconvulsive therapy: A systematic review
RM Lundin, VP Falcao, S Kannangara, CW Eakin, M Abdar, J O'Neill, ...
The Journal of ECT 40 (4), 245-253, 2024
재정 지원 요구사항 정책: National Health and Medical Research Council, Australia
업로드 담당 저자: M Berk, RM Lundin
제공된 곳이 있음: 20
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ...
Information Fusion 76, 243-297, 2021
재정 지원 요구사항 정책: Australian Research Council, Natural Sciences and Engineering Research …
ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis
ME Basiri, S Nemati, M Abdar, E Cambria, UR Acharya
Future Generation Computer Systems 115, 279-294, 2021
재정 지원 요구사항 정책: A*Star, Singapore
A review of generalized zero-shot learning methods
F Pourpanah, M Abdar, Y Luo, X Zhou, R Wang, CP Lim, XZ Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
재정 지원 요구사항 정책: National Natural Science Foundation of China
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
M Abdar, M Samami, SD Mahmoodabad, T Doan, B Mazoure, ...
Computers in biology and medicine 135, 104418, 2021
재정 지원 요구사항 정책: Australian Research Council
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring
P Pławiak, M Abdar, J Pławiak, V Makarenkov, UR Acharya
Information Sciences 516, 401-418, 2020
재정 지원 요구사항 정책: Fonds de recherche du Québec - Nature et technologies
UncertaintyFuseNet: robust uncertainty-aware hierarchical feature fusion model with ensemble Monte Carlo dropout for COVID-19 detection
M Abdar, S Salari, S Qahremani, HK Lam, F Karray, S Hussain, ...
Information Fusion 90, 364-381, 2023
재정 지원 요구사항 정책: Australian Research Council
NE-nu-SVC: a new nested ensemble clinical decision support system for effective diagnosis of coronary artery disease
M Abdar, UR Acharya, N Sarrafzadegan, V Makarenkov
Ieee Access 7, 167605-167620, 2019
재정 지원 요구사항 정책: Fonds de recherche du Québec - Nature et technologies
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
M Abdar, MA Fahami, S Chakrabarti, A Khosravi, P Pławiak, UR Acharya, ...
Information Sciences 577, 353-378, 2021
재정 지원 요구사항 정책: Australian Research Council
Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease
M Zomorodi‐moghadam, M Abdar, Z Davarzani, X Zhou, P Pławiak, ...
Expert Systems 38 (1), e12485, 2021
재정 지원 요구사항 정책: Fonds de recherche du Québec - Santé
Energy choices in Alaska: Mining people's perception and attitudes from geotagged tweets
M Abdar, ME Basiri, J Yin, M Habibnezhad, G Chi, S Nemati, S Asadi
Renewable and Sustainable Energy Reviews 124, 109781, 2020
재정 지원 요구사항 정책: US National Science Foundation, US National Institutes of Health, US …
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification
M Abdar, MA Fahami, L Rundo, P Radeva, AF Frangi, UR Acharya, ...
IEEE Transactions on Industrial Informatics 19 (1), 274-285, 2022
재정 지원 요구사항 정책: Australian Research Council, Cancer Research UK
Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries
R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, ...
Expert Systems 39 (7), e12573, 2022
재정 지원 요구사항 정책: Fonds de recherche du Québec - Nature et technologies
Uncertainty-aware interpretable deep learning for slum mapping and monitoring
T Fisher, H Gibson, Y Liu, M Abdar, M Posa, G Salimi-Khorshidi, ...
Remote Sensing 14 (13), 3072, 2022
재정 지원 요구사항 정책: UK Economic and Social Research Council
Using traditional machine learning and deep learning methods for on-and off-target prediction in CRISPR/Cas9: a review
Z Sherkatghanad, M Abdar, J Charlier, V Makarenkov
Briefings in Bioinformatics 24 (3), bbad131, 2023
재정 지원 요구사항 정책: Natural Sciences and Engineering Research Council of Canada, Fonds de …
Automated detection of presymptomatic conditions in Spinocerebellar Ataxia type 2 using Monte Carlo dropout and deep neural network techniques with electrooculogram signals
C Stoean, R Stoean, M Atencia, M Abdar, L Velázquez-Pérez, A Khosravi, ...
Sensors 20 (11), 3032, 2020
재정 지원 요구사항 정책: Government of Spain
Quantum face recognition protocol with ghost imaging
V Salari, D Paneru, E Saglamyurek, M Ghadimi, M Abdar, M Rezaee, ...
Scientific Reports 13 (1), 2401, 2023
재정 지원 요구사항 정책: Natural Sciences and Engineering Research Council of Canada, European …
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm
M Abdar, A Mehrzadi, M Goudarzi, F Masoudkabir, L Rundo, M Mamouei, ...
Information Fusion 97, 101813, 2023
재정 지원 요구사항 정책: Australian Research Council
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