4 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…
Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning
Chandan Kumar, Jansel Herrera-Gerena, John Just +2
The rapid proliferation of digital content and the ever-growing need for precise object recognition and segmentation have driven the advancement of cutting-edge techniques in the f…
Unsupervised learning based object detection using Contrastive Learning
Chandan Kumar, Jansel Herrera-Gerena, John Just +2
Training image-based object detectors presents formidable challenges, as it entails not only the complexities of object detection but also the added intricacies of precisely locali…