<p class="jove_content">VISHAM-KG is a multimodal framework that constructs knowledge graphs from Hindi visual documents by aligning textual and visual entities. It combines rule-based linguistic analysis with computer vision techniques to produce subject-relation-object triplets in low-resource Indic language settings.</p>

multimodal-knowledge-graphs-based-on-rule-based-linguistic-analysis

Multimodal Knowledge Graphs Based on Rule-Based Linguistic Analysis and Computer Vision

Visual-Semantic Hindi-Aligned Multimodal Knowledge Graph (VISHAM-KG) is a framework designed to construct consistent multimodal knowledge graphs (KGs) ...

<p class="jove_content">This article aims to assess the impact of temporal weighting, causal inference, and hierarchical attribution on interpretability optimization. </p>

ensemble-temporal-weighting-causal-inference-hierarchical-attribution

Ensemble of Temporal Weighting, Causal Inference, and Hierarchical Attribution towards SHAP Optimization

During the past few years, the need for transparency and interpretability has been intensified owing to significant advancements in data-driven models, ...

Institution - Indira Gandhi Delhi Technical University for Women

Articles Published in JoVE