Explain to Not Forget: Defending Catastrophic Forgetting with XAI
Approximation of SHAP values for Randomized Tree Ensembles
Color shadows (part I): exploratory usability evaluation of activation maps in radiological machine learning
Effects of Fairness and Explanation on Trust in Ethical AI
Towards Refined Classifications driven by SHAP explanations
Global Intepretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration
The ROC Diagonal is not Laypersons Chance: a New Baseline Shows the Useful Area
Debiasing MDI Feature Importance and SHAP values in Tree Ensembles
The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap
Identifying Fraud Rings Using Domain Aware Weighted Community Detection
Capabilities, limitations and challenges of style transfer with CycleGANs: a study on automatic ring design generation
Semantic Causal Abstraction for Event Prediction
An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments
Towards Generating Financial Reports From Tabular Data Using Transformers
Evaluating the performance of SOBEK text mining keyword extraction algorithm
Classification of Screenshot Image Captured in Online Meeting System
A survey on the application of virtual reality in event-related potential research
Visualizing Large Collections of URLs Using the Hilbert Curve
How to Reduce the Time Necessary for Evaluation of Tree-based Models
An Empirical Analysis of and Guidelines for Synthetic-Data-based Anomaly Detection
SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients
Comparing machine learning correlations to domain experts causal knowledge: Employee turnover use case
Machine learning and knowledge extraction to support work safety for smart forest operations.