#visual analytics
8 papers match
Argonaut: Interactive Visual Exploration for Distributed Optimization
Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras
Argonaut is a lightweight, containerized dashboard that lets users interactively visualize and explore the entire search process of distributed multi‑agent discrete‑choice optimiza…
A Scalable AI-Powered System for Explainable Machine Learning Pipelines in Brain Tumor
Yin Lin, Elena De Martin, Giacomo Conte +6
The paper introduces a web‑based visual analytics platform that integrates cohort management, radiomic feature extraction, and guarded inference with pre‑trained machine learning m…
GraphQAG: A Knowledge-Graph-Guided Visual Analytics Framework for Question-Answer Pairs Generation
Yize Li, Ruiqi Yu, Tianya Pan +5
GraphQAG is a visual analytics system that builds a knowledge graph from long documents to guide large language model generation of question‑answer pairs, allowing users to explore…
FADEx: Feature Attribution and Distortion-based Explanation of Dimensionality Reduction
Lucas Greff Meneses, Evandro S. Ortigossa, Claudio Silva +1
The paper introduces FADEx, a local per-instance feature attribution method that explains how individual features influence the placement of data points in any dimensionality reduc…
Knowledge Tectonics: A Geodynamic Inspired Framework for Modeling Epistemic Changes
Thomas Van Erven, Stelios Kontogiannis, Efstratios Kontopoulos +3
The paper proposes a geodynamic-inspired framework called Knowledge Tectonics to model and visualize how concepts and metadata evolve over time in semantic web knowledge graphs, de…
GraphPolaris: A System for Query, Analysis, and Visualization of Graph Databases
Michael Behrisch, Sjoerd Vink, Leonardo Christino +1
GraphPolaris is a no‑code visual analytics system that lets users interactively query, explore, and visualize graph databases using a formal query language (GPQL) without programmi…
CD-MED: Cross-Domain Multimodal Emotion Descriptor for Visual Comparison of Digital Objects
Elnara Kadyrgali, Muragul Muratbekova, Pakizar Shamoi
The paper introduces CD-MED, a framework that converts emotion outputs from different modalities (e.g., video, audio, text) into a shared emotional descriptor, visualized in a vale…
ManiScope: LLM-Assisted Visual Analytics of Cryptocurrency Manipulation Risk
Xiaolin Wen, Feng Liang, Yuanye Ma +5
ManiScope is a visual analytics system that uses a large language model as a co‑analyst to help users explore and assess trade‑based manipulation risks in cryptocurrency markets.
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