Since the production of sustainable ternary cement concrete (TCC) involves a large range of
constituents which can affect the compressive strength (CS) of TCC in different ways, the …

This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

Recently, there has been a growing demand for the deployment of Explainable Artificial
Intelligence (XAI) algorithms in real-world applications. However, traditional XAI methods …

Counterfactual explanations (CFEs) highlight changes to a model's input that alter its
prediction in a particular way. s have gained considerable traction as a psychologically …

As an essential post-hoc explanatory method, counterfactual explanation enables people to
understand and react to machine learning models. Works on counterfactual explanation …

In this paper, we propose a data embedding technique for structured data that allows for the
direct application of standard vector-based machine learning models without the need for …

Many of today's decision making systems deployed in the real world are not static—they are
changing and adapting over time, a phenomenon known as model adaptation takes place …

The Impact of Using Constraints on Counterfactual Explanations Page 1 The Impact of Using
Constraints on Counterfactual Explanations Maciej Falbogowski, Jerzy Stefanowski, Zuzanna …

The massive amount of data available in recent years has led to an explosive growth in the
field of machine learning. Black box models gain from this, because they can be trained …

A short introduction to the application of informationtheoretic and machine learning methods
to biomolecular and medical data is provided as the motivating material that supports …