Application of machine learning to assess the influence of microstructure on twin nucleation in Mg alloys
Twin nucleation in textured Mg alloys was studied by means of electron back-scattered
diffraction in samples deformed in tension along different orientations in more than 3000 …
diffraction in samples deformed in tension along different orientations in more than 3000 …
Including insider threats into risk management through Bayesian threat graph networks
Cybersecurity incidents do represent a serious danger for companies. In fact, the number of
cyber crimes is exponentially growing in a scenario where the global COVID-19 pandemic …
cyber crimes is exponentially growing in a scenario where the global COVID-19 pandemic …
REAL-SAP: Real-time Evidence Aware Liable Safety Assessment for Perception in Autonomous Driving
Self-evaluation and monitoring are critical components in autonomous driving applications,
especially for safety purposes, and yet there is no systematic framework to estimate the …
especially for safety purposes, and yet there is no systematic framework to estimate the …
Using agent-based simulations to evaluate Bayesian Networks for criminal scenarios
Scenario-based Bayesian networks (BNs) have been proposed as a tool for the rational
handling of evidence. The proper evaluation of existing methods requires access to a …
handling of evidence. The proper evaluation of existing methods requires access to a …
Causal inference to enhance ai trustworthiness in environmental decision-making
We present a causal model specifically designed for an environmental decision-making
context, focusing on agricultural choices and the delicate balance between changes in water …
context, focusing on agricultural choices and the delicate balance between changes in water …
[HTML][HTML] Efficient search for relevance explanations using MAP-independence in Bayesian networks
Image 1-independence is a novel concept concerned with explaining the (ir) relevance of
intermediate nodes for maximum a posteriori (Image 2) computations in Bayesian networks …
intermediate nodes for maximum a posteriori (Image 2) computations in Bayesian networks …
[HTML][HTML] Bayesian network-based resilience assessment of interdependent infrastructure systems under optimal resource allocation strategies
J Sun, K Bathgate, Z Zhang - Resilient Cities and Structures, 2024 - Elsevier
Critical infrastructure systems (CISs) play a key role in the socio-economic activity of a
society, but are exposed to an array of disruptive events that can greatly impact their function …
society, but are exposed to an array of disruptive events that can greatly impact their function …
Causal Reasoning in Software Quality Assurance: A Systematic Review
L Giamattei, A Guerriero, R Pietrantuono… - arXiv preprint arXiv …, 2024 - arxiv.org
Context: Software Quality Assurance (SQA) is a fundamental part of software engineering to
ensure stakeholders that software products work as expected after release in operation …
ensure stakeholders that software products work as expected after release in operation …
Aligning to human decision-makers in military medical triage
Expert human decision makers do not make optimal decisions in realistic domains; their
decisions are affected by preferences, ethics, background experience, and contextual …
decisions are affected by preferences, ethics, background experience, and contextual …
The punctuated equilibrium of scientific change: a Bayesian network model
P Grim, F Seidl, C McNamara, IN Astor, C Diaso - Synthese, 2022 - Springer
Our scientific theories, like our cognitive structures in general, consist of propositions linked
by evidential, explanatory, probabilistic, and logical connections. Those theoretical webs …
by evidential, explanatory, probabilistic, and logical connections. Those theoretical webs …