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cs.LG2025
Interpretable AI for Time-Series: Multi-Model Heatmap Fusion with Global Attention and NLP-Generated Explanations
Jiztom Kavalakkatt Francis, Matthew J Darr
In this paper, we present a novel framework for enhancing model interpretability by integrating heatmaps produced separately by ResNet and a restructured 2D Transformer with global…
cs.LG2025
Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP
Jiztom Kavalakkatt Francis, Matthew J Darr
This paper introduces a novel framework that accelerates the discovery of actionable relationships in high-dimensional temporal data by integrating machine learning (ML), explainab…