6 citations · 12 across the 9 of their papers we have counts for
11 papers
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…
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…
Exploring Interpretability for Predictive Process Analytics
Renuka Sindhgatta, Chun Ouyang, Catarina Moreira
Modern predictive analytics underpinned by machine learning techniques has become a key enabler to the automation of data-driven decision making. In the context of business process…
An Experimental Protocol to Derive and Validate a Quantum Model of Decision-Making
Lauren Fell, Shahram Dehdashti, Peter Bruza +1
This study utilises an experiment famous in quantum physics, the Stern-Gerlach experiment, to inform the structure of an experimental protocol from which a quantum cognitive decisi…
The Dutch's Real World Financial Institute: Introducing Quantum-Like Bayesian Networks as an Alternative Model to deal with Uncertainty
Catarina Moreira, Emmanuel Haven, Sandro Sozzo +1
In this work, we analyse and model a real life financial loan application belonging to a sample bank in the Netherlands. The log is robust in terms of data, containing a total of 2…