215 citations · 330 across the 10 of their papers we have counts for
6 papers · 1 filter
Towards Evaluating Exploratory Model Building Process with AutoML Systems
Sungsoo Ray Hong, Sonia Castelo, Vito D'Orazio +6
The use of Automated Machine Learning (AutoML) systems are highly open-ended and exploratory. While rigorously evaluating how end-users interact with AutoML is crucial, establishin…
Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together
Gromit Yeuk-Yin Chan, Enrico Bertini, Luis Gustavo Nonato +2
With the increasing sophistication of machine learning models, there are growing trends of developing model explanation techniques that focus on only one instance (local explanatio…
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs
Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini
As the use of machine learning (ML) models in product development and data-driven decision-making processes became pervasive in many domains, people's focus on building a well-perf…
PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines
Jorge Piazentin Ono, Sonia Castelo, Roque Lopez +3
In recent years, a wide variety of automated machine learning (AutoML) methods have been proposed to search and generate end-to-end learning pipelines. While these techniques facil…
ViCE: Visual Counterfactual Explanations for Machine Learning Models
Oscar Gomez, Steffen Holter, Jun Yuan +1
The continued improvements in the predictive accuracy of machine learning models have allowed for their widespread practical application. Yet, many decisions made with seemingly ac…
Modelling internet based applications for designing multi-device adaptive interfaces
Enrico Bertini, Giuseppe Santucci
The wide spread of mobile devices in the consumer market has posed a number of new issues in the design of internet applications and their user interfaces. In particular, applicati…