Interpretable Machine Learning of Two‐Photon Absorption
Sign Up to like & getrecommendations! Published in 2023 at "Advanced Science"
DOI: 10.1002/advs.202204902
Abstract: Molecules with strong two‐photon absorption (TPA) are important in many advanced applications such as upconverted laser and photodynamic therapy, but their design is hampered by the high cost of experimental screening and accurate quantum chemical… read more here.
Keywords: interpretable machine; photon absorption; two photon; machine learning ... See more keywords
Interpretable Machine-Learning and Big Data Mining to Predict Gas Diffusivity in Metal-Organic Frameworks.
Sign Up to like & getrecommendations! Published in 2023 at "Advanced science"
DOI: 10.1002/advs.202301461
Abstract: For gas separation and catalysis by metal-organic frameworks (MOFs), gas diffusion has a substantial impact on the process' overall rate, so it is necessary to determine the molecular diffusion behavior within the MOFs. In this… read more here.
Keywords: gas; organic frameworks; metal organic; interpretable machine ... See more keywords
Interpretable Machine Learning Based on Functional ANOVA Framework: Algorithms and Comparisons
Sign Up to like & getrecommendations! Published in 2025 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2916
Abstract: In the early days of machine learning (ML), the emphasis was on developing complex algorithms to achieve best possible predictive performance. To understand and explain the model results, one had to rely on post hoc… read more here.
Keywords: framework; functional anova; interpretable machine; machine learning ... See more keywords
Predicting Neoplastic Polyp in Patients With Gallbladder Polyps Using Interpretable Machine Learning Models: Retrospective Cohort Study
Sign Up to like & getrecommendations! Published in 2025 at "Cancer Medicine"
DOI: 10.1002/cam4.70739
Abstract: Gallbladder polyps (GBPs) are increasingly prevalent, with the majority being benign; however, neoplastic polyps carry a risk of malignant transformation, highlighting the importance of accurate differentiation. This study aimed to develop and validate interpretable machine… read more here.
Keywords: gallbladder polyps; learning models; retrospective cohort; machine learning ... See more keywords
Predictors of Sustainable Investment Motivation: An Interpretable Machine Learning Approach
Sign Up to like & getrecommendations! Published in 2025 at "Sustainable Development"
DOI: 10.1002/sd.3387
Abstract: This study investigates the determinants influencing retail investors' capital allocation to sustainable financial products, focusing specifically on Germany—a pertinent case due to its strong commitment to sustainability, supportive regulatory environment and substantial market growth. We… read more here.
Keywords: machine learning; motivation; investment motivation; sustainable investment ... See more keywords
Interpretable machine learning for genomics
Sign Up to like & getrecommendations! Published in 2021 at "Human Genetics"
DOI: 10.1007/s00439-021-02387-9
Abstract: High-throughput technologies such as next-generation sequencing allow biologists to observe cell function with unprecedented resolution, but the resulting datasets are too large and complicated for humans to understand without the aid of advanced statistical methods.… read more here.
Keywords: machine; medicine; machine learning; interpretable machine ... See more keywords
Explainable and interpretable machine learning and data mining
Sign Up to like & getrecommendations! Published in 2024 at "Data Mining and Knowledge Discovery"
DOI: 10.1007/s10618-024-01041-y
Abstract: The growing number of applications of machine learning and data mining in many domains—from agriculture to business, education, industrial manufacturing, and medicine—gave rise to new requirements for how to inspect and control the learned models.… read more here.
Keywords: data mining; machine; machine learning; learning data ... See more keywords
The explanation game: a formal framework for interpretable machine learning
Sign Up to like & getrecommendations! Published in 2020 at "Synthese"
DOI: 10.1007/s11229-020-02629-9
Abstract: We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation(s) for… read more here.
Keywords: explanation; game; machine learning; framework interpretable ... See more keywords
Interpretable Machine Learning for Early Prediction of Prognosis in Sepsis: A Discovery and Validation Study
Sign Up to like & getrecommendations! Published in 2022 at "Infectious Diseases and Therapy"
DOI: 10.1007/s40121-022-00628-6
Abstract: This study aimed to develop and validate an interpretable machine-learning model based on clinical features for early predicting in-hospital mortality in critically ill patients with sepsis. We enrolled all patients with sepsis in the Medical… read more here.
Keywords: sepsis; validation; machine; model ... See more keywords
Three-dimensional modelling of alteration zones based on geochemical exploration data: An interpretable machine-learning approach via generalized additive models
Sign Up to like & getrecommendations! Published in 2020 at "Applied Geochemistry"
DOI: 10.1016/j.apgeochem.2020.104781
Abstract: Abstract The inference of deep alterations plays an important role in the analysis of deep geological processes and the targeting of buried mineral resources. However, the construction of three-dimensional (3D) models of alteration zones based… read more here.
Keywords: based geochemical; zones based; alteration zones; three dimensional ... See more keywords
Application of interpretable machine learning models for the intelligent decision
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.012
Abstract: Abstract In this study, an interpretable machine learning algorithm is proposed for the issues of intelligent decision through predicting the firms’ efficiency of innovation. Based on the unbalanced panel data collected in Zhongguancun Science Parks… read more here.
Keywords: decision; intelligent decision; machine learning; interpretable machine ... See more keywords