Claudio Silva

Professor

New York University

United States

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Claudio Silva is a Professor at New York University, USA. His research focuses on visual analytics, human behavior exploration utilizing fNIRS in AR systems, and topology-driven methods for comparing local explanations. Recent publications include works on visualizing explanations (dis)agreement, interactive analysis of probabilistic models, and the state of the art in visual analytics for urban data.

Articles (18)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (6)

Iran R. Roman

Assistant Professor and Lecturer

Queen Mary University of London

UNITED KINGDOM

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Enrico Bertini

Northeastern University

UNITED STATES

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Fabio Miranda

Assistant Professor

University of Chicago

UNITED STATES

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Qi Sun

New York University

UNITED STATES

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Juliana Freire

Professor of Computer Science and Data Science

New York University

UNITED STATES

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Juan Pablo Bello

Professor

New York University

UNITED STATES

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Claudio Silva

Research Interests

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About

Articles (18)

HuBar: A Visual Analytics Tool to Explore Human Behavior Based on fNIRS in AR Guidance Systems

Visagreement: Visualizing and Exploring Explanations (Dis)Agreement

T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients

: Visualization of AI-Assisted Task Guidance in AR

The State of the Art in Visual Analytics for 3D Urban Data

Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning

TopoMap++: A faster and more space efficient technique to compute projections with topological guarantees

Mountaineer: Topology-Driven Visual Analytics for Comparing Local Explanations

StreetAware: A High-Resolution Synchronized Multimodal Urban Scene Dataset

Calibrate: Interactive Analysis of Probabilistic Model Output

Classification of breast cancer subtypes: A study based on representative genes

CriPAV: Street-Level Crime Patterns Analysis and Visualization

SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level

A Gene Selection Method Based on Outliers for Breast Cancer Subtype Classification

Interactive Data Visualization in Jupyter Notebooks

GLoG: Laplacian of Gaussian for Spatial Pattern Detection in Spatio-Temporal Data

NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks

CrimAnalyzer: Understanding Crime Patterns in São Paulo

Collaborators (6)

Iran R. Roman

Enrico Bertini

Fabio Miranda

Qi Sun

Juliana Freire

Juan Pablo Bello

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