Search Results - subject:"Explainable AI"

A cyber physical sustainable smart city framework toward society 5.0 : explainable AI for enhanced SDGs monitoring

Hassan, Ali H.; Elsadig Musa Ahmed; Hussien, Jamal M.; … - In: Research in globalization 10 (2025), pp. 1-15

Industry 4.0 has revolutionized modern urbanization and smart cities. However, the relationship between Industry 4.0 technology advances such as Artificial Intelligence (AI) and their impact on the earth, environment, people, and biological ecosystems needs further consideration, particularly...

Persistent link: https://www.econbiz.de/10015466926

A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring

Hassan, Ali H.; Hussien, Jamal M.; Sulaiman, Riza bin; … - In: Research in Globalization 10 (2025), pp. 1-15

Persistent link: https://www.econbiz.de/10015520040

Assessing the explanatory power of dwelling condition in automated valuation models

Oust, Are; Westgaard, Sjur; Waage, Jens Erik; Kidane … - In: Journal of real estate research : JRER ; a publication … 47 (2025) 1, pp. 1-27

Persistent link: https://www.econbiz.de/10015533574

From headlines to stock trends : natural language processing and explainable artificial intelligence approach to predicting Türkiye's financial pulse

Ibrahim, Mahat Maalim; Khan, Asad ul Islam; Kaplan, Muhittin - In: Borsa Istanbul Review 25 (2025) 6, pp. 1152-1165

, and explainable AI techniques. The findings reveal that international news significantly predicts the Turkish Stock market …, with the majority of machine learning models yielding approximately 80 percent predictive accuracy. The Explainable AI …

Persistent link: https://www.econbiz.de/10015551277

Mapping Africa's infrastructure potential with geospatial big data and causal ML

Krantz, Sebastian - 2024

ML and explainable AI's potential to generate insights from geospatial data and assist spatial planning. …

Persistent link: https://www.econbiz.de/10015084746

Improving credit risk assessment in P2P lending with explainable machine learning survival analysis

Bone-Winkel, Gero Friedrich; Reichenbach, Felix - In: Digital Finance 6 (2024) 3, pp. 501-542

Recent research using explainable machine learning survival analysis demonstrated its ability to identify new risk factors in the medical field. In this study, we adapted this methodology to credit risk assessment. We used a comprehensive dataset from the Estonian P2P lending platform Bondora,...

Persistent link: https://www.econbiz.de/10015399576

An interpretable machine learning methodology to generate interaction effect hypotheses from complex datasets

Nasir, Murtaza; Summerfield, Nichalin S.; Simsek, Serhat; … - In: Decision sciences 55 (2024) 6, pp. 549-576

Persistent link: https://www.econbiz.de/10015371985

A study of "left against medical advice" emergency department patients : an optimized explainable artificial intelligence framework

Ahmed, Abdulaziz; Aram, Khalid Y.; Tutun, Salih; Delen, … - In: Health care management science : a new journal serving … 27 (2024) 4, pp. 485-502

Persistent link: https://www.econbiz.de/10015196694

Predicting zombie firms after the COVID-19 pandemic using explainable artificial intelligence

Seo, Dongwook; Kim, Hyeong Joon; Mun, Seongjae - In: Journal of derivatives and quantitative studies : … 32 (2024) 4, pp. 266-285

profitability ("Zombie firms"). In particular, we adopt the Explainable AI ("XAI") approach to overcome the limitations of the …

Persistent link: https://www.econbiz.de/10015173786

Improving credit risk assessment in P2P lending with explainable machine learning survival analysis

Bone-Winkel, Gero Friedrich; Reichenbach, Felix - In: Digital finance : smart data analytics, investment … 6 (2024) 3, pp. 501-542

Persistent link: https://www.econbiz.de/10015078229