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08/16/2022
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning
Horizontal federated learning (HFL) enables distributed clients to train...
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06/09/2022
Diagnosing Ensemble Few-Shot Classifiers
The base learners and labeled samples (shots) in an ensemble few-shot cl...
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10/06/2021
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Dimensionality Reduction (DR) techniques can generate 2D projections and...
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08/21/2020
A Survey of Visual Analytics Techniques for Machine Learning
Visual analytics for machine learning has recently evolved as one of the...
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07/30/2020
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization
Nowadays, as data becomes increasingly complex and distributed, data ana...
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07/30/2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics
Deep learning methods are being increasingly used for urban traffic pred...
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07/30/2020
ConceptExplorer: Visual Analysis of Concept Driftsin Multi-source Time-series Data
Time-series data is widely studied in various scenarios, like weather fo...
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07/29/2020
Evaluation of Sampling Methods for Scatterplots
Given a scatterplot with tens of thousands of points or even more, a nat...
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08/06/2019
RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query
Analysts commonly investigate the data distributions derived from statis...
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10/30/2018