2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
Pattern Based Multivariable Regression using Deep Learning (PBMR-DP)
Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena +2
We propose a deep learning methodology for multivariate regression that is based on pattern recognition that triggers fast learning over sensor data. We used a conversion of sensor…