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20182026
most citedThe State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations

190 citations · 654 across the 20 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 26 cited

VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization

Angelos Chatzimparmpas, Rafael M. Martins, Kostiantyn Kucher +1

During the training phase of machine learning (ML) models, it is usually necessary to configure several hyperparameters. This process is computationally intensive and requires an e…

cs.LG2020★ 152 cited

StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics

Angelos Chatzimparmpas, Rafael M. Martins, Kostiantyn Kucher +1

In machine learning (ML), ensemble methods such as bagging, boosting, and stacking are widely-established approaches that regularly achieve top-notch predictive performance. Stacki…

eess.SP2020★ 5 cited

Xtreaming: an incremental multidimensional projection technique and its application to streaming data

Tácito T. A. T. Neves, Rafael M. Martins, Danilo B. Coimbra +3

Streaming data applications are becoming more common due to the ability of different information sources to continuously capture or produce data, such as sensors and social media.…

cs.LG2020★ 174 cited

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections

Angelos Chatzimparmpas, Rafael M. Martins, Andreas Kerren

t-Distributed Stochastic Neighbor Embedding (t-SNE) for the visualization of multidimensional data has proven to be a popular approach, with successful applications in a wide range…

cs.HC2020★ 26 cited

A Study of Mental Maps in Immersive Network Visualization

Joseph Kotlarek, Oh-Hyun Kwon, Kwan-Liu Ma +4

The visualization of a network influences the quality of the mental map that the viewer develops to understand the network. In this study, we investigate the effects of a 3D immers…