Joel Luís Carbonera

Computer Science · Physical Sciences

17h-index1.0kcitations101works1.72yr avg
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Research Topics

Semantic Web and Ontologies(41), Biomedical Text Mining and Ontologies(15), Machine Learning and Data Classification(12), Natural Language Processing Techniques(10), AI-based Problem Solving and Planning(8)

Publications101 total

"Data-driven prognostics and health management (PHM) modeling"
IEEE DataPort·2026Open Access
The PROPOR Ecosystem: Structure, Roles, and Evolution of Portuguese-Language NLP
2026Open Access
Seleção de amostras baseada em transfer learning e autoaprendizagem para tarefas zero-shot
2025Open Access
Investigando uma abordagem baseada em aprendizado em contexto para geração de consultas SPARQL
2025Open Access
No Labels Needed: Zero-Shot Image Classification with Collaborative Self-Learning
2025
Investigating Dynamic Example Selection for ICL-Based Text-to-SPARQL Generation
2025
Ontology-Guided Hybrid Loss for Fault Classification in Oil & Gas
2025
No Labels Needed: Zero-Shot Image Classification with Collaborative Self-Learning
arXiv (Cornell University)·2025Open Access
Using natural language definitions and language models for relationship classification
Knowledge-Based Systems·2025
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification
arXiv (Cornell University)·2025Open Access
Architecting Digital Twins: From Concept to Reality
Procedia Computer Science·2025· 2 citedOpen Access
Confidence-Based Zero-Shot Out-of-Distribution Detection Via Self-Learning
SSRN Electronic Journal·2025Open Access
A Framework for testing Federated Learning algorithms using an edge-like environment
Future Generation Computer Systems·2024· 2 citedOpen Access
Accelerating Prototype Selection with Spatial Abstraction
2024· 1 cited
Investigating Performance Patterns of Pre-Trained Models for Feature Extraction in Image Classification
2024· 5 cited
An Evaluation of Large Language Models for Geological Named Entity Recognition
2024· 2 cited
How to Classify Domain Entities Into Top-Level Ontology Concepts Using Large Language Models
Applied Ontology·2024· 2 cited
Accelerating prototype selection with spatial abstraction
arXiv (Cornell University)·2024Open Access
Cross-Domain Classification of Domain Entities into Top-Level Ontology Concepts Using BERT: A Study Case on the BFO Domain Ontologies
2024Open Access
A Framework for Testing Federated Learning Algorithms Using an Edge-Like Environment
SSRN Electronic Journal·2024Open Access
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Frequent Co-authors

Mara Abel(30), Sandro Rama Fiorini(15), Paulo Gonçalves(13), Edson Prestes(12), Joanna Isabelle Olszewska(9), Tamás Haidegger(7), Maki K. Habib(6), Veera Ragavan(6), Howard Li(6), Luan Fonseca Garcia(6), Vitor A. M. Jorge(5), Marcos Barreto(5), Abdelghani Chibani(5), Craig Schlenoff(5), Alaa Khamis(5), Signe Redfield(5), Julita Bermejo–Alonso(4), Ricardo Sanz(4), Michael A. Houghtaling(4), Nicola Fabiano(4)