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Hélio Lopes

Professor Associado

Pontifical Catholic University of Rio de Janeiro

Brazil

Research Interests

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Professors in Artificial Intelligence

Articles (20)

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2026

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2023

Collaborators (7)

Daniel Méndez Fernández

Full Professor

Blekinge Institute of Technology

SWEDEN

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Moises Rodriguez

Profesor Titular

University of Castilla-La Mancha

SPAIN

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Marcos Kalinowski

Professor (Software Engineering)

Pontifical Catholic University of Rio de Janeiro

BRAZIL

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Stefan Wagner

Professor

Technical University of Munich

GERMANY

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Marcus Poggi

Professor

Pontifical Catholic University of Rio de Janeiro

BRAZIL

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Simone Diniz Junqueira Barbosa

Associate Professor

Pontifical Catholic University of Rio de Janeiro

BRAZIL

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Mario Piattini

Catedrático de Universidad

University of Castilla-La Mancha

SPAIN

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Hélio Lopes

Research Interests

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Articles (20)

Practical Insights Into AI System Product Quality Evaluation

Define-ML: An Approach to Ideate Machine Learning-Enabled Systems

Experiences Applying Lean R&D in Industry-Academia Collaboration Projects

Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil: An Extended Analysis

Naming the Pain in machine learning-enabled systems engineering

Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach

Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey

Assessing Data Visualization Literacy: Design Implementation and Analysis of a Comprehensive Test

Geometric implicit neural representations for signed distance functions

Enriquecimento de Dados com Base em Estatísticas de Grafo de Similaridade para Melhorar o Desempenho em Modelos de ML Supervisionados de Classificação

Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems

Binary Matrix Factorization Discretization

Artifacts: Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding

Dynamic Topic Modeling with Tensor Decomposition as a Tool to Explore the Legal Precedent Relevance Over Time

A systematic mapping study and practitioner insights on the use of software engineering practices to develop MVPs

Designing Intelligent Agents in Normative Systems Toward Data Regulation Representation

Lessons learned to improve the UX practices in agile projects involving data science and process automation

MR-Net: Multiresolution sinusoidal neural networks

Neural Implicit Surface Evolution

Collaborators (7)

Daniel Méndez Fernández

Moises Rodriguez

Marcos Kalinowski

Stefan Wagner

Marcus Poggi

Simone Diniz Junqueira Barbosa

Mario Piattini

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