The Security of Deep Learning Defences for Medical Imaging
On 24 Jan, 2022 By admin 0 Comments
January, 2022
Abstract
Academic Paper
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods: A Case Study on CRPS-Sum Discrimination Ability
On 24 Jan, 2022 By admin 0 Comments
Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning
On 24 Jan, 2022 By admin 0 Comments
AiTLAS: Artificial Intelligence Toolbox for Earth Observation
On 24 Jan, 2022 By admin 0 Comments
January, 2022
Abstract
Deconfounding to Explanation Evaluation in Graph Neural Networks
On 24 Jan, 2022 By admin 0 Comments
January, 2022
Abstract
Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies
On 24 Jan, 2022 By admin 0 Comments
Marginal Effects for Non-Linear Prediction Functions
On 24 Jan, 2022 By admin 0 Comments
January, 2022
Abstract
A LITERATURE REVIEW AND META-ANALYSIS OF THE EFFECTS OF LOCKDOWNS ON COVID-19 MORTALITY
On 21 Jan, 2022 By admin 0 Comments
A causal Bayesian network approach for consumer product safety and risk assessment
On 28 Dec, 2021 By admin 0 Comments
December, 2021
Highlights
• Describes a novel causal Bayesian network approach for systematic product risk assessment.
• The approach resolves some limitations with current commonly used product risk assessment methods.
• The approach complements product risk assessment methods like RAPEX.
• The approach can produce quantified, auditable product risk assessment with limited or no testing data.
Abstract
Why scatter plots suggest causality, and what we can do about it
On 27 Dec, 2021 By admin 0 Comments
September, 2018
Abstract