Publication Links
Network Science: Characterizing Attitudinal Network Graphs through Frustration Cloud and Identifying Stable States of Large Signed Graphs. Computer Vision: Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for Large Descriptor Databases and Domain Adaptation with Contrastive Learning for Object Detection in Satellite Imagery. Noisy Tabular Data: Long COVID Challenge: Predictive Modeling of Noisy Clinical Tabular Data. All PDFs of published and submitted publications @ TXST are linked through the research narrative.PDFs of papers under review in journals or submitted to conferences
Network Science: Scaling Frustration Index and Corresponding Balanced State Discovery for Real Signed Graphs, ABCD: Algorithm for Balanced Component Discovery in Signed Networks, and Multimodal Mining of Twitter Networks for Improved Label Propagation. Computer Vision: Stratified Graph Indexing for Efficient Search in Deep Descriptor Databases, Domain Adaptation with Contrastive Learning for Object Detection in Satellite Imagery, and EVIREC: Efficient Visual Indexing and Retrieval for Edge Crowd-sensing Noisy Tabular Data: Ranking Resilience Attributes for Texas Public School Districts and Data Driven Teacher Attrition Modeling.