61 citations · 271 across the 29 of their papers we have counts for
6 papers · 1 filter
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira +1
Predictive process analytics focuses on predicting the future states of running instances of a business process. While advanced machine learning techniques have been used to increa…
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
Catarina Moreira, Yu-Liang Chou, Mythreyi Velmurugan +3
The use of sophisticated machine learning models for critical decision making is faced with a challenge that these models are often applied as a "black-box". This has led to an inc…
Construction of 'Support Vector' Machine Feature Spaces via Deformed Weyl-Heisenberg Algebra
Shahram Dehdashti, Catarina Moreira, Abdul Karim Obeid +1
This paper uses deformed coherent states, based on a deformed Weyl-Heisenberg algebra that unifies the well-known SU(2), Weyl-Heisenberg, and SU(1,1) groups, through a common param…
QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision
Catarina Moreira, Matheus Hammes, Rasim Serdar Kurdoglu +1
This paper provides the foundations of a unified cognitive decision-making framework (QulBIT) which is derived from quantum theory. The main advantage of this framework is that it…
Bistable Probabilities: A Unified Framework for Studying Rationality and Irrationality in Classical and Quantum Games
Shahram Dehdashti, Lauren Fell, Abdul Karim Obeid +2
This article presents a unified probabilistic framework that allows both rational and irrational decision making to be theoretically investigated and simulated in classical and qua…
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics
Catarina Moreira, Renuka Sindhgatta, Chun Ouyang +2
This paper explores interpretability techniques for two of the most successful learning algorithms in medical decision-making literature: deep neural networks and random forests. W…