Search Results - subject:"SHapley Additive exPlanations"

A machine learning and explainable artificial intelligence triage-prediction system for COVID-19

Khanna, Varada Vivek; Chadaga, Krishnaraj; Sampathila, … - In: Decision analytics journal 7 (2023), pp. 1-14

deployed Explainable Artificial Intelligence tools such as Shapley Additive Explanations and Local Interpretable Model …

Persistent link: https://www.econbiz.de/10014497362

What affects the price of Bitcoin? : Evidence from game theory and machine learning

Li, Mingchen; Lin, Wencan; Wei, Yunjie; Wang, Shouyang; … - In: Applied economics letters 32 (2025) 6, pp. 770-774

Persistent link: https://www.econbiz.de/10015329796

An explanatory analytics model for identifying factors indicative of long- versus short-term survival after lung transplantation

Amini, Mostafa; Bagheri, Ali; Delen, Dursun - In: Decision analytics journal 3 (2022), pp. 1-8

Due to the shortage of available organs compared to the number of patients on waitlists, the organ allocation process has always been challenging and calls for an equitable and optimized allocation system. This system demands minimizing the waitlist mortality and improving transplantation...

Persistent link: https://www.econbiz.de/10013339229

The impact of liquidity conditions on the time-varying link between U.S. municipal green bonds and major risky markets during the COVID-19 crisis : a machine learning approach

Kocaarslan, Baris; Mushtaq, Rizwan - In: Energy policy : the international journal of the … 184 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10014454919

Loan default predictability with explainable machine learning

Li, Huan; Wu, Weixing - In: Finance research letters 60 (2024), pp. 1-7

Persistent link: https://www.econbiz.de/10014490218

Effects of COVID-19 vaccination programs on EU carbon price forecasts : evidence from explainable machine learning

Yang, Cai; Zhang, Hongwei; Weng, Futian - In: International review of financial analysis 91 (2024), pp. 1-13

Persistent link: https://www.econbiz.de/10014446939

Predicting low-performance government-sponsored R&D project : comprehensive framework and machine learning approach

Ma, Hyoung Ryul; Lee, Jae-Hoon; Lee, Cheol-Ju - In: Technology analysis & strategic management 36 (2024) 12, pp. 4643-4656

Persistent link: https://www.econbiz.de/10015121061

The role of major markets in predicting the US municipal green bond market performance : new evidence from machine learning models

Kocaarslan, Baris; Soytaş, Uǧur - In: Technological forecasting & social change : an … 196 (2023), pp. 1-14

Persistent link: https://www.econbiz.de/10014476443

Forecasting cryptocurrency returns with machine learning

Liu, Yujun; Li, Zhongfei; Nekhili, Ramzi; Sultan, Jahangir - In: Research in international business and finance 64 (2023), pp. 1-21

Persistent link: https://www.econbiz.de/10014280034

Fund performance evaluation with explainable artificial intelligence

Kovvuri, Veera Raghava Reddy; Fu, Hsuan; Fan, Xiuyi; … - In: Finance research letters 58 (2023) 2, pp. 1-9

Persistent link: https://www.econbiz.de/10014584619