Catarina Moreira
Catarina Moreira
Associate Professor/ Lead Research Scientist @HTI, UTS
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
A novel transfer learning based approach for pneumonia detection in chest X-ray images
V Chouhan, SK Singh, A Khamparia, D Gupta, P Tiwari, C Moreira, ...
Applied Sciences 10 (2), 559, 2020
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications
YL Chou, C Moreira, P Bruza, C Ouyang, J Jorge
Information Fusion 81, 59-83, 2022
Multimodal medical image fusion algorithm in the era of big data
W Tan, P Tiwari, HM Pandey, C Moreira, AK Jaiswal
Neural Computing and Applications, 1-21, 2020
Quantum-like bayesian networks for modeling decision making
C Moreira, A Wichert
Frontiers in psychology 7, 163811, 2016
Finding academic experts on a multisensor approach using Shannon’s entropy
C Moreira, A Wichert
Expert Systems with Applications 40 (14), 5740-5754, 2013
Learning to rank academic experts in the DBLP dataset
C Moreira, P Calado, B Martins
Expert Systems 32 (4), 477-493, 2015
LINDA-BN: An interpretable probabilistic approach for demystifying black-box predictive models
C Moreira, YL Chou, M Velmurugan, C Ouyang, R Sindhgatta, P Bruza
Decision Support Systems 150, 113561, 2021
Process mining with real world financial loan applications: Improving inference on incomplete event logs
C Moreira, E Haven, S Sozzo, A Wichert
PLoS One 13 (12), e0207806, 2018
Interference effects in quantum belief networks
C Moreira, A Wichert
Applied Soft Computing 25, 64-85, 2014
Exploring interpretable predictive models for business processes
R Sindhgatta, C Moreira, C Ouyang, A Barros
Business Process Management: 18th International Conference, BPM 2020 …, 2020
Learning to rank for expert search in digital libraries of academic publications
C Moreira, P Calado, B Martins
Portuguese conference on artificial intelligence, 431-445, 2011
Are quantum-like Bayesian networks more powerful than classical Bayesian networks?
C Moreira, A Wichert
Journal of Mathematical Psychology 82, 73-83, 2018
Building interpretable models for business process prediction using shared and specialised attention mechanisms
B Wickramanayake, Z He, C Ouyang, C Moreira, Y Xu, R Sindhgatta
Knowledge-Based Systems 248, 108773, 2022
Quantum probabilistic models revisited: the case of disjunction effects in cognition
C Moreira, A Wichert
Frontiers in Physics 4, 26, 2016
Dice4el: interpreting process predictions using a milestone-aware counterfactual approach
C Hsieh, C Moreira, C Ouyang
2021 3rd International Conference on Process Mining (ICPM), 88-95, 2021
Evaluating fidelity of explainable methods for predictive process analytics
M Velmurugan, C Ouyang, C Moreira, R Sindhgatta
International conference on advanced information systems engineering, 64-72, 2021
Exploring interpretability for predictive process analytics
R Sindhgatta, C Ouyang, C Moreira
International Conference on Service-Oriented Computing, 439-447, 2020
Quantum-like influence diagrams for decision-making
C Moreira, P Tiwari, HM Pandey, P Bruza, A Wichert
Neural Networks 132, 190-210, 2020
Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
L Alzubaidi, A Al-Sabaawi, J Bai, A Dukhan, AH Alkenani, A Al-Asadi, ...
International Journal of Intelligent Systems 2023 (1), 4459198, 2023
Testing ambiguity and Machina preferences within a quantum-theoretic framework for decision-making
D Aerts, S Geriente, C Moreira, S Sozzo
Journal of Mathematical Economics 78, 176-185, 2018
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