| 2026 | LREC | From Bones to Rocks: A Systematic Evaluation of Specialized Definition Generation for Portuguese. | Rafael Oleques Nunes, Dennis Giovani Balreira, Joel Lus Carbonera |
| 2025 | ICTAI | Ontology-Guided Hybrid Loss for Fault Classification in Oil & Gas. | Gustavo Alexsandro de Lima, Joel Lus Carbonera, Joo Cesar Netto, Mara Abel |
| 2025 | ICTAI | No Labels Needed: Zero-Shot Image Classification with Collaborative Self-Learning. | Matheus Vincius Todescato, Joel Lus Carbonera |
| 2024 | ICTAI | Investigating Performance Patterns of Pre-Trained Models for Feature Extraction in Image Classification. | Matheus Vincius Todescato, Joel Lus Carbonera |
| 2022 | ER | "All the Things that Come and Go, Stop and Say Hello": Towards an ontological account of how participants enter and exit events. | Fabrcio Henrique Rodrigues, Joel Lus Carbonera, Lucas Valadares Vieira, Mara Abel |
| 2020 | ER | Upper-Level Types of Occurrent Based on the Principle of Ontological Conservation. | Fabrcio Henrique Rodrigues, Joel Lus Carbonera, Mara Abel |
| 2020 | ICAISC | A Density-Based Prototype Selection Approach. | Joel Lus Carbonera, Mara Abel |
| 2020 | ICTAI | An attraction-based approach for instance selection. | Joel Lus Carbonera, Mara Abel |
| 2019 | ICTAI | A Subspace Hierarchical Clustering Algorithm for Categorical Data. | Joel Lus Carbonera, Mara Abel |
| 2018 | DaWaK | An Efficient Prototype Selection Algorithm Based on Spatial Abstraction. | Joel Lus Carbonera, Mara Abel |
| 2018 | ICAISC | An Efficient Prototype Selection Algorithm Based on Dense Spatial Partitions. | Joel Lus Carbonera, Mara Abel |
| 2018 | ICTAI | Efficient Instance Selection Based on Spatial Abstraction. | Joel Lus Carbonera, Mara Abel |