Catarina Moreira

Orcid: 0000-0002-8826-5163

Affiliations:
  • Queensland University of Technology, Brisbane, Australia
  • University of Lisbon, Portugal (former)


According to our database1, Catarina Moreira authored at least 54 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes.
CoRR, 2024

2023
A cluster UAV inspired honeycomb defense system to confront military IoT: a dynamic game approach.
Soft Comput., 2023

Generating multi-level explanations for process outcome predictions.
Eng. Appl. Artif. Intell., 2023

MDF-Net: Multimodal Dual-Fusion Network for Abnormality Detection using CXR Images and Clinical Data.
CoRR, 2023

Immersive Virtual Colonoscopy Viewer for Colorectal Diagnosis.
CoRR, 2023

Toward VR in VR: Assessing Engagement and Social Interaction in a Virtual Conference.
IEEE Access, 2023

Development of an Immersive Virtual Colonoscopy Viewer for Colon Growths Diagnosis.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Integrating Eye-Gaze Data into CXR DL Approaches: A Preliminary study.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Approaches and Challenges in XR and AI for Health Applications.
Proceedings of the SIGGRAPH Asia 2023 Courses, 2023

Comparing Visual Search Patterns in Chest X-Ray Diagnostics.
Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

2022
Building interpretable models for business process prediction using shared and specialised attention mechanisms.
Knowl. Based Syst., 2022

Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications.
Inf. Fusion, 2022

AMORETTO: A Method for Deriving IoT-enriched Event Logs.
CoRR, 2022

Benchmark Evaluation of Counterfactual Algorithms for XAI: From a White Box to a Black Box.
CoRR, 2022

An Extension Of Combinatorial Contextuality For Cognitive Protocols.
CoRR, 2022

Improving X-ray Diagnostics through Eye-Tracking and XR.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

Generating Purpose-Driven Explanations: The Case of Process Predictive Model Inspection.
Proceedings of the Intelligent Information Systems, 2022

2021
LINDA-BN: An interpretable probabilistic approach for demystifying black-box predictive models.
Decis. Support Syst., 2021

Explainable AI Enabled Inspection of Business Process Prediction Models.
CoRR, 2021

Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach.
CoRR, 2021

Developing a Fidelity Evaluation Approach for Interpretable Machine Learning.
CoRR, 2021

Order Effects in Bayesian Updates.
CoRR, 2021

Evaluating Stability of Post-hoc Explanations for Business Process Predictions.
Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach.
Proceedings of the 3rd International Conference on Process Mining, 2021

Evaluating Fidelity of Explainable Methods for Predictive Process Analytics.
Proceedings of the Intelligent Information Systems - CAiSE Forum 2021, Melbourne, VIC, Australia, June 28, 2021

2020
Quantum-like influence diagrams for decision-making.
Neural Networks, 2020

Balanced Quantum-Like Bayesian Networks.
Entropy, 2020

Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach.
CoRR, 2020

An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models.
CoRR, 2020

Construction of 'Support Vector' Machine Feature Spaces via Deformed Weyl-Heisenberg Algebra.
CoRR, 2020

Bistable Probabilities: A Unified Framework for Studying Rationality and Irrationality in Classical and Quantum Games.
CoRR, 2020

An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics.
CoRR, 2020

Exploring Interpretability for Predictive Process Analytics.
Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Exploring Interpretable Predictive Models for Business Processes.
Proceedings of the Business Process Management - 18th International Conference, 2020

2019
Interpreting Predictive Process Monitoring Benchmarks.
CoRR, 2019

Towards a Quantum-Like Cognitive Architecture for Decision-Making.
CoRR, 2019

An Experimental Protocol to Derive and Validate a Quantum Model of Decision-Making.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Unifying Decision-Making: a Review on Evolutionary Theories on Rationality and Cognitive Biases.
CoRR, 2018

Balanced Quantum-Like Model for Decision Making.
Proceedings of the Quantum Interaction - 11th International Conference, 2018

Introducing Quantum-Like Influence Diagrams for Violations of the Sure Thing Principle.
Proceedings of the Quantum Interaction - 11th International Conference, 2018

2017
The Dutch's Real World Financial Institute: Introducing Quantum-Like Bayesian Networks as an Alternative Model to deal with Uncertainty.
CoRR, 2017

2015
On Projection Based Operators in l<sub>p</sub> Space for Exact Similarity Search.
Fundam. Informaticae, 2015

Learning to rank academic experts in the DBLP dataset.
Expert Syst. J. Knowl. Eng., 2015

On Projection Based Operators in Lp space for Exact Similarity Search.
CoRR, 2015

Thematic Identification of 'Little Science': Trends in Portuguese IS&LS Literature by Controlled Vocabulary and Co-Word Analysis.
CoRR, 2015

Uma análise bibliométrica do Congresso Nacional de Bibliotecários, Arquivistas e Documentalistas (1985-2012).
CoRR, 2015

Using Rank Aggregation for Expert Search in Academic Digital Libraries.
CoRR, 2015

An Experiment on Using Bayesian Networks for Process Mining.
CoRR, 2015

The Relation Between Acausality and Interference in Quantum-Like Bayesian Networks.
Proceedings of the Quantum Interaction - 9th International Conference, 2015

2014
Interference effects in quantum belief networks.
Appl. Soft Comput., 2014

2013
Finding academic experts on a multisensor approach using Shannon's entropy.
Expert Syst. Appl., 2013

2011
Towards the Rapid Development of a Natural Language Understanding Module.
Proceedings of the Intelligent Virtual Agents - 11th International Conference, 2011

Learning to Rank for Expert Search in Digital Libraries of Academic Publications.
Proceedings of the Progress in Artificial Intelligence, 2011


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