Forbes

What’s In The Box? Decoding AI Model Interpretability

Rob Futrick, Anaconda CTO, drives AI & data science innovation. 25+ years in tech, ex-Microsoft, passionate mentor for STEM diversity. As artificial intelligence (AI) models grow in complexity, ...
ZDNet

Explainable AI: A guide for making black box machine learning models explainable

Machine learning is taking the world by storm, helping automate more and more tasks. As digital transformation expands, the volume and coverage of available data grows, and machine learning sets its ...
Detroit Free Press

Interpretability in deep learning for finance: A case study for the Heston model

GA, UNITED KINGDOM, January 29, 2026 /EINPresswire.com/ — Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using ...
Risk

Shapley values as an interpretability technique in credit scoring

The use of machine learning algorithms in credit scoring can be enhanced by an improved understanding of the reasoning behind model decisions. Although machine learning algorithms are widely regarded ...
AZoBuild

Hybrid AI Model Improves Smart Building Energy Prediction

Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...
ascopubs.org

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

A total of 737 treatment-naïve patients with CLL diagnosed at Mayo Clinic were included in this study. We compared predictive abilities for two survival models (Cox proportional hazards and random ...
ascopubs.org

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly heterogeneous presentations and prognoses, as in chronic lymphocytic lymphoma (CLL ...