Similar Items: Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction
- GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs
- Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets
- Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
- From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways
- Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models
- Gated Multimodal Learning for Interpretable Property Energy Performance Prediction and Retrofit Scenario Analysis