activity
20202026
most citedPipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines

3 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

BDI-Kit Demo: A Toolkit for Programmable and Conversational Data Harmonization

Roque Lopez, Yurong Liu, Christos Koutras +1

Data harmonization remains a major bottleneck for integrative analysis due to heterogeneity in schemas, value representations, and domain-specific conventions. BDI-Kit provides an…

cs.ET2025

Design and Implementation of the Transparent, Interpretable, and Multimodal (TIM) AR Personal Assistant

Erin McGowan, Joao Rulff, Sonia Castelo +11

The concept of an AI assistant for task guidance is rapidly shifting from a science fiction staple to an impending reality. Such a system is inherently complex, requiring models fo…

cs.AI2025

Interactive Data Harmonization with LLM Agents: Opportunities and Challenges

Aécio Santos, Eduardo H. M. Pena, Roque Lopez +1

Data harmonization is an essential task that entails integrating datasets from diverse sources. Despite years of research in this area, it remains a time-consuming and challenging…

cs.HC2024

HuBar: A Visual Analytics Tool to Explore Human Behaviour based on fNIRS in AR guidance systems

Sonia Castelo, Joao Rulff, Parikshit Solunke +11

The concept of an intelligent augmented reality (AR) assistant has significant, wide-ranging applications, with potential uses in medicine, military, and mechanics domains. Such an…

cs.HC2023★ 3 cited

ARGUS: Visualization of AI-Assisted Task Guidance in AR

Sonia Castelo, Joao Rulff, Erin McGowan +15

The concept of augmented reality (AR) assistants has captured the human imagination for decades, becoming a staple of modern science fiction. To pursue this goal, it is necessary t…

cs.HC2020★ 3 cited

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…