Deep Learning | Land Management | Urban Planning Urban expansion simulation with an explainable ensemble deep learning framework. April 8, 2024
Data Science | Environmental Science | Meteorology Urban ozone variability using automated machine learning: inference from different feature importance schemes. March 23, 2024
Clinical Research | Healthcare | Interpretability | Machine Learning MS-CPFI: A model-agnostic Counterfactual Perturbation Feature Importance algorithm for interpreting black-box Multi-State models. January 6, 2024
Artificial Intelligence | Autonomous Driving Systems | city planning | Deep Learning | Public Safety LLM Multimodal Traffic Accident Forecasting. November 25, 2023
Oncology | Radiation Oncology Feature Importance Analysis of a Deep Learning Model for Predicting Late Bladder Toxicity Occurrence in Uterine Cervical Cancer Patients. July 14, 2023
Computer Science | Machine Learning Residual Sketch Learning for a Feature-Importance-Based and Linguistically Interpretable Ensemble Classifier. April 6, 2023
Bioinformatics | Oncology | Pharmacology A hybrid deep forest-based method for predicting synergistic drug combinations. March 20, 2023
Neurology Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection. September 8, 2022
Infectious Disease | Internal Medicine Development of Machine-Learning Model to Predict COVID-19 Mortality: Application of Ensemble Model and Regarding Feature Impacts. July 16, 2022
Bioinformatics | Data Science | Metabolomics Variational autoencoders learn transferrable representations of metabolomics data. June 30, 2022
Genetics What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics. December 4, 2021