Papers Explainable Models
“Explainable Models” 태그가 달린 논문 128편 · 필터 해제
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
Symbolic regression is a powerful technique that can discover analytical equations that describe data, which can lead to explainable models and generalizability outside of the training data set. In contrast, neural netwo…
Explainable Modelsregressionscientific discoverySymbolic RegressionVariable Selection with Copula Entropy
Variable selection is of significant importance for classification and regression tasks in machine learning and statistical applications where both predictability and explainability are needed. In this paper, a Copula En…
Explainable ModelsFeature ImportanceVariable SelectionFair-by-design explainable models for prediction of recidivism
Recidivism prediction provides decision makers with an assessment of the likelihood that a criminal defendant will reoffend that can be used in pre-trial decision-making. It can also be used for prediction of locations w…
Decision MakingExplainable ModelsPredictionThe Challenge of Imputation in Explainable Artificial Intelligence Models
Explainable models in Artificial Intelligence are often employed to ensure transparency and accountability of AI systems. The fidelity of the explanations are dependent upon the algorithms used as well as on the fidelity…
Explainable artificial intelligenceExplainable ModelsImputationMissing ValuesNeural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Current advances in Artificial Intelligence and machine learning in general, and deep learning in particular have reached unprecedented impact not only across research communities, but also over popular media channels. H…
BIG-bench Machine LearningExplainable ModelsTransformative Machine Learning
The key to success in machine learning (ML) is the use of effective data representations. Traditionally, data representations were hand-crafted. Recently it has been demonstrated that, given sufficient data, deep neural …
BIG-bench Machine LearningDrug DesignExplainable ModelsMeta-Learning+2Fair lending needs explainable models for responsible recommendation
The financial services industry has unique explainability and fairness challenges arising from compliance and ethical considerations in credit decisioning. These challenges complicate the use of model machine learning an…
BIG-bench Machine LearningExplainable ModelsFairnessMultimodal Explanations: Justifying Decisions and Pointing to the Evidence
Deep models that are both effective and explainable are desirable in many settings; prior explainable models have been unimodal, offering either image-based visualization of attention weights or text-based generation of …
Activity RecognitionExplainable ModelsQuestion AnsweringVisual Question Answering+1