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02/26/2023
MDF-Net: Multimodal Dual-Fusion Network for Abnormality Detection using CXR Images and Clinical Data
This study aims to investigate the effects of including patients' clinic...
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02/06/2023
Immersive Virtual Colonoscopy Viewer for Colorectal Diagnosis
Desktop-based virtual colonoscopy has been proven to be an asset in the ...
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02/06/2023
Integrating Eye-Gaze Data into CXR DL Approaches: A Preliminary study
This paper proposes a novel multimodal DL architecture incorporating med...
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12/05/2022
AMORETTO: A Method for Deriving IoT-enriched Event Logs
Process analytics aims to gain insights into the behaviour and performan...
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03/04/2022
Benchmark Evaluation of Counterfactual Algorithms for XAI: From a White Box to a Black Box
Counterfactual explanations have recently been brought to light as a pot...
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03/03/2022
Improving X-ray Diagnostics through Eye-Tracking and XR
There is a growing need to assist radiologists in performing X-ray readi...
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02/15/2022
An Extension Of Combinatorial Contextuality For Cognitive Protocols
This article extends the combinatorial approach to support the determina...
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09/03/2021
Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms
In this paper, we address the "black-box" problem in predictive process ...
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07/19/2021
Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach
Predictive process analytics often apply machine learning to predict the...
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07/16/2021
Explainable AI Enabled Inspection of Business Process Prediction Models
Modern data analytics underpinned by machine learning techniques has bec...
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06/16/2021
Developing a Fidelity Evaluation Approach for Interpretable Machine Learning
Although modern machine learning and deep learning methods allow for com...
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05/16/2021
Order Effects in Bayesian Updates
Order effects occur when judgments about a hypothesis's probability give...
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03/07/2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
There has been a growing interest in model-agnostic methods that can mak...
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12/08/2020
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
Predictive process analytics focuses on predicting the future states of ...
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07/21/2020
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
The use of sophisticated machine learning models for critical decision m...
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06/02/2020
Construction of 'Support Vector' Machine Feature Spaces via Deformed Weyl-Heisenberg Algebra
This paper uses deformed coherent states, based on a deformed Weyl-Heise...
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05/30/2020
QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision
This paper provides the foundations of a unified cognitive decision-maki...
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04/04/2020
Bistable Probabilities: A Unified Framework for Studying Rationality and Irrationality in Classical and Quantum Games
This article presents a unified probabilistic framework that allows both...
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02/21/2020
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics
This paper explores interpretability techniques for two of the most succ...
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12/22/2019
Interpreting Predictive Process Monitoring Benchmarks
Predictive process analytics has recently gained significant attention, ...
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05/11/2019
Towards a Quantum-Like Cognitive Architecture for Decision-Making
We propose an alternative and unifying framework for decision-making tha...
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11/29/2018
Unifying Decision-Making: a Review on Evolutionary Theories on Rationality and Cognitive Biases
In this paper, we make a review on the concepts of rationality across se...
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07/16/2018
Introducing Quantum-Like Influence Diagrams for Violations of the Sure Thing Principle
It is the focus of this work to extend and study the previously proposed...
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10/02/2017
The Dutch's Real World Financial Institute: Introducing Quantum-Like Bayesian Networks as an Alternative Model to deal with Uncertainty
In this work, we analyse and model a real life financial loan applicatio...
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08/26/2015
The Relation Between Acausality and Interference in Quantum-Like Bayesian Networks
We analyse a quantum-like Bayesian Network that puts together cause/effe...
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03/25/2015
An Experiment on Using Bayesian Networks for Process Mining
Process mining is a technique that performs an automatic analysis of bus...
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09/30/2014
Interference Effects in Quantum Belief Networks
Probabilistic graphical models such as Bayesian Networks are one of the ...
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06/12/2013
