| 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 | 686 | 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 | 216 | 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 | 198 | 2020 |
| Quantum-like bayesian networks for modeling decision making C Moreira, A Wichert Frontiers in psychology 7, 163811, 2016 | 91 | 2016 |
| 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 | 67 | 2021 |
| Finding academic experts on a multisensor approach using Shannon’s entropy C Moreira, A Wichert Expert Systems with Applications 40 (14), 5740-5754, 2013 | 65 | 2013 |
| Learning to rank academic experts in the DBLP dataset C Moreira, P Calado, B Martins Expert Systems 32 (4), 477-493, 2015 | 62 | 2015 |
| 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 | 57 | 2018 |
| Interference effects in quantum belief networks C Moreira, A Wichert Applied Soft Computing 25, 64-85, 2014 | 53 | 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 | 45 | 2020 |
| 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 | 44 | 2022 |
| Are quantum-like Bayesian networks more powerful than classical Bayesian networks? C Moreira, A Wichert Journal of Mathematical Psychology 82, 73-83, 2018 | 41 | 2018 |
| 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 | 40 | 2011 |
| 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 | 37 | 2023 |
| Quantum probabilistic models revisited: the case of disjunction effects in cognition C Moreira, A Wichert Frontiers in Physics 4, 26, 2016 | 37 | 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 | 35 | 2021 |
| Exploring interpretability for predictive process analytics R Sindhgatta, C Ouyang, C Moreira International Conference on Service-Oriented Computing, 439-447, 2020 | 34 | 2020 |
| 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 | 33 | 2021 |
| Quantum-like influence diagrams for decision-making C Moreira, P Tiwari, HM Pandey, P Bruza, A Wichert Neural Networks 132, 190-210, 2020 | 30 | 2020 |
| 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 | 23 | 2018 |
Chun OuyangAssociate Professor, PhD, Queensland University of TechnologyVerified email at qut.edu.au
