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From the 1 of 9 linked papers with an AI index.

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9 papers

cs.HC2026

A Design Study on Voice-based Interaction for Immersive Network Visualization and Analysis

Sam Yu-Te Lee, Hsin-Ai Chen, Sarah Yuniar +2

The paper presents a design study of a voice‑driven interface, powered by large language models, for exploring network visualizations in immersive environments, and reports that vo…

cs.LG2026

DELUGE: Towards Continental-Scale Daily Pluvial Flood Damage Prediction via Interpretable Conditioning on Foundation Model Embeddings

Yuya Kawakami, Daniel Cayan, Dongyu Liu +2

Pluvial (rainfall-driven) flooding accounts for 45% of National Flood Insurance Program (NFIP) claims in the United States and is harder to predict than its riverine and coastal co…

cs.CL2026

VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents

Sam Yu-Te Lee, Chenyang Ji, Shicheng Wen +3

Text analytics has traditionally required specialized knowledge in Natural Language Processing (NLP) or text analysis, which presents a barrier for entry-level analysts. Recent adv…

cs.LG2025

SigTime: Learning and Visually Explaining Time Series Signatures

Yu-Chia Huang, Juntong Chen, Dongyu Liu +1

Understanding and distinguishing temporal patterns in time series data is essential for scientific discovery and decision-making. For example, in biomedical research, uncovering me…

cs.HC2025

HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents

Sam Yu-Te Lee, Kwan-Liu Ma

Sensemaking on a large collection of documents (corpus) is a challenging task often found in fields such as market research, legal studies, intelligence analysis, political science…

cs.HC2025

ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets

Yuya Kawakami, Daniel Cayan, Dongyu Liu +1

Ensemble datasets are ever more prevalent in various scientific domains. In climate science, ensemble datasets are used to capture variability in projections under plausible future…