Static Socio-demographic and Individual Factors for Generating Explanations in XAI: Can they serve as a prior in DSS for adaptation of explanation strategies? DOI
Christian Schütze, Birte Richter, Olesja Lammert

et al.

Published: Nov. 20, 2024

Language: Английский

Explainable Benchmarking for Iterative Optimization Heuristics DOI Open Access
Bas van Stein, Diederick Vermetten, Anna V. Kononova

et al.

ACM Transactions on Evolutionary Learning and Optimization, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Benchmarking heuristic algorithms is vital to understand under which conditions and on what kind of problems certain perform well. In most current research into optimization algorithms, only a very limited number scenarios, algorithm configurations hyper-parameter settings are explored, leading incomplete often biased insights results. This paper presents novel approach that we call explainable benchmarking. We introduce the IOHxplainer software library, for systematic analysing performance various impact their different components hyperparameters. showcase methodology in context two modular implementations. Through this examine algorithmic configurations, offering across diverse scenarios. provide method evaluating interpreting behaviour efficiency iterative heuristics more transparent comprehensible manner, aiming improve future benchmarking design practices.

Language: Английский

Citations

3
Explainable Artificial Intelligence (XAI) DOI
Toly Chen

SpringerBriefs in applied sciences and technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: Jan. 1, 2025

Citations

2
A deep neural network with modified random forest incremental interpretation approach for diagnosing diabetes in smart healthcare DOI
Toly Chen, Hsin‐Chieh Wu, Min-Chi Chiu

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 152, P. 111183 - 111183

Published: Dec. 22, 2023

Language: Английский

Citations

30
A fuzzy collaborative forecasting approach based on XAI applications for cycle time range estimation DOI
Toly Chen, Chi‐Wei Lin, Yu‐Cheng Lin

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 151, P. 111122 - 111122

Published: Dec. 6, 2023

Language: Английский

Citations

14
Ambient Intelligence (AmI) DOI
Toly Chen

SpringerBriefs in applied sciences and technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: Jan. 1, 2024

Language: Английский

Citations

4
XAmI Applications to Location-Aware Services DOI
Toly Chen

SpringerBriefs in applied sciences and technology, Journal Year: 2024, Volume and Issue: unknown, P. 63 - 83

Published: Jan. 1, 2024

Language: Английский

Citations

4
Issues in Managing Localized Semiconductor Supply Chains DOI
Toly Chen

Published: Jan. 1, 2025

Language: Английский

Citations

0
Qualitative and Quantitative Analysis of Semiconductor Supply Chain Localization DOI
Toly Chen

Published: Jan. 1, 2025

Language: Английский

Citations

0
Rebuilding Semiconductor Manufacturing Competitiveness and Sustainability Through Supply Chain Localization DOI
Toly Chen

Published: Jan. 1, 2025

Language: Английский

Citations

0
Localization of Semiconductor Supply Chains—Driving Forces and Challenges DOI
Toly Chen

Published: Jan. 1, 2025

Language: Английский

Citations

0