74 citations · 88 across the 13 of their papers we have counts for
16 papers
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy +4
This paper presents an open-source Python toolbox called Ensemble Feature Importance (EFI) to provide machine learning (ML) researchers, domain experts, and decision makers with ro…
Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding
Victoria Bell1, Divish Rengasamy, Benjamin Rothwell +1
With substantial recent developments in aviation technologies, Unmanned Aerial Vehicles (UAVs) are becoming increasingly integrated in commercial and military operations internatio…
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving
Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal +4
Commercial driving is a complex multifaceted task influenced by personal traits and external contextual factors, such as weather, traffic, road conditions, etc. Previous intelligen…
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture
Jimiama M. Mase, Natalie Leesakul, Fan Yang +2
Automatically understanding and recognising human affective states using images and computer vision can improve human-computer and human-robot interaction. However, privacy has bec…
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach
Divish Rengasamy, Jimiama M. Mase, Mercedes Torres Torres +3
With the widespread use of machine learning to support decision-making, it is increasingly important to verify and understand the reasons why a particular output is produced. Altho…
Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion
Divish Rengasamy, Benjamin Rothwell, Grazziela Figueredo
When machine learning supports decision-making in safety-critical systems, it is important to verify and understand the reasons why a particular output is produced. Although featur…
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework
Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi +1
In this position paper, we present ideas about creating a next generation framework towards an adaptive interface for data communication and visualisation systems. Our objective is…
Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin +2
Advances in healthcare and in the quality of life significantly increase human life expectancy. With the ageing of populations, new un-faced challenges are brought to science. The…
Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer
Grazziela P Figueredo, Peer-Olaf Siebers, Markus R Owen +2
There is great potential to be explored regarding the use of agent-based modelling and simulation as an alternative paradigm to investigate early-stage cancer interactions with the…
A Beginners Guide to Systems Simulation in Immunology
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin +1
Some common systems modelling and simulation approaches for immune problems are Monte Carlo simulations, system dynamics, discrete-event simulation and agent-based simulation. Thes…
Systems Dynamics or Agent-Based Modelling for Immune Simulation?
Grazziela P Figueredo, Uwe Aickelin, Peer-Olaf Siebers
In immune system simulation there are two competing simulation approaches: System Dynamics Simulation (SDS) and Agent-Based Simulation (ABS). In the literature there is little guid…
Investigating Immune System Aging: System Dynamics and Agent-Based Modeling
Grazziela P. Figueredo, Uwe Aickelin
System dynamics and agent based simulation models can both be used to model and understand interactions of entities within a population. Our modeling work presented here is concern…
Defining a Simulation Strategy for Cancer Immunocompetence
Grazziela P. Figueredo, Uwe Aickelin
Although there are various types of cancer treatments, none of these currently take into account the effect of ageing of the immune system and hence altered responses to cancer. Re…
Investigating Mathematical Models of Immuno-Interactions with Early-Stage Cancer under an Agent-Based Modelling Perspective
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin
Many advances in research regarding immuno-interactions with cancer were developed with the help of ordinary differential equation (ODE) models. These models, however, are not effe…
Comparing System Dynamics and Agent-Based Simulation for Tumour Growth and its Interactions with Effector Cells
Grazziela P. Figueredo, Uwe Aickelin
There is little research concerning comparisons and combination of System Dynamics Simulation (SDS) and Agent Based Simulation (ABS). ABS is a paradigm used in many levels of abstr…
System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire
Grazziela P. Figueredo, Uwe Aickelin, Amanda Whitbrook
The study of immune system aging, i.e. immunosenescence, is a relatively new research topic. It deals with understanding the processes of immunodegradation that indicate signs of f…