Reasoning Over Visual Knowledge. - Joel Luis Carbonera; Mara Abel; Claiton M. S. Scherer; Ariane Kravczyk Bernardes (ONTOBRAS-MOST, 2011)

Abordagem para Aquisição de Conhecimento Visual e Refinamento de Ontologias para domínios visuais. - Joel Luis Carbonera; Mara Abel; Claiton M. S. Scherer; Ariane Kravczyk Bernardes (ONTOBRAS-MOST, 2012)

Using Events from UFO-B in an Ontology Collaborative Construction Environment. - Douglas Eduardo Rosa; Joel Luis Carbonera; Gabriel M. Torres; Mara Abel (ONTOBRAS-MOST, 2012)

Visual Interpretation of Events in Petroleum Geology. - Joel Luis Carbonera; Mara Abel; Claiton M. S. Scherer; Ariane Kravczyk Bernardes (ICTAI, 2013)

Defining positioning in a core ontology for robotics. - Joel Luis Carbonera; Sandro Rama Fiorini; Edson Prestes; Vitor A. M. Jorge; Mara Abel; Raj Madhavan 001; Angela Locoro; Paulo J. S. Gonçalves; Tamás Haidegger; Marcos E. Barreto; Craig Schlenoff (IROS, 2013)

Uma Ontologia para Padronização do Domínio de Robótica e Automação. - Sandro Rama Fiorini; Joel Luis Carbonera; Vitor A. M. Jorge; Edson Prestes; Mara Abel (ONTOBRAS, 2013)

Ontologias Aplicadas ao Problema de Correlação Litológica no Domínio da Geologia do Petróleo. - Luan Fonseca Garcia; Joel Luis Carbonera; Mara Abel (ONTOBRAS, 2013)

Towards a core ontology for robotics and automation. - Edson Prestes; Joel Luis Carbonera; Sandro Rama Fiorini; Vitor A. M. Jorge; Mara Abel; Raj Madhavan 001; Angela Locoro; Paulo J. S. Gonçalves; Marcos E. Barreto; Maki K. Habib; Abdelghani Chibani; Sébastien Gérard; et al. (Robotics Auton. Syst., 2013)

Categorical Data Clustering: A Correlation-Based Approach for Unsupervised Attribute Weighting. - Joel Luis Carbonera; Mara Abel (ICTAI, 2014)

An Entropy-Based Subspace Clustering Algorithm for Categorical Data. - Joel Luis Carbonera; Mara Abel (ICTAI, 2014)

An Ontology-Based Automatic Approach for Lithologic Correlation. - Luan Fonseca Garcia; Joel Luis Carbonera; Mara Abel (ICTAI, 2014)

Ontology View Extraction: An Approach Based on Ontological Meta-properties. - Jose Lozano; Joel Luis Carbonera; Mara Abel; Marcelo Pimenta (ICTAI, 2014)

CBK-Modes: A Correlation-based Algorithm for Categorical Data Clustering. - Joel Luis Carbonera; Mara Abel (ICEIS (1), 2015)

A Cognition-inspired Knowledge Representation Approach for Knowledge-based Interpretation Systems. - Joel Luis Carbonera; Mara Abel (ICEIS (1), 2015)

RockQuery - An Ontology-based Data Querying Tool. - Jose Lozano; Joel Luis Carbonera; Marcelo Pimenta; Mara Abel (ICEIS (3), 2015)

A Density-Based Approach for Instance Selection. - Joel Luis Carbonera; Mara Abel (ICTAI, 2015)

A Cognitively Inspired Approach for Knowledge Representation and Reasoning in Knowledge-Based Systems. - Joel Luis Carbonera; Mara Abel (IJCAI, 2015)

A Novel Approach for Extracting Well-Founded Ontology Views. - Jose Lozano; Joel Luis Carbonera; Mara Abel (JOWO@IJCAI, 2015)

The Multiple Applications of a Mature Domain Ontology. - Mara Abel; Joel Luis Carbonera; Sandro Rama Fiorini; Luan Fonseca Garcia; Luiz Fernando De Ros (ONTOBRAS, 2015)

Extended Ontologies: a Cognitively Inspired Approach. - Joel Luis Carbonera; Mara Abel (ONTOBRAS, 2015)

Ontological analysis for information integration in geomodeling. - Mara Abel; Michel Perrin; Joel Luis Carbonera (Earth Sci. Informatics, 2015)

Representation of part-whole similarity in geology. - Sandro Rama Fiorini; Mara Abel; Joel Luis Carbonera (Earth Sci. Informatics, 2015)

Visual interpretation of events in petroleum exploration: An approach supported by well-founded ontologies. - Joel Luis Carbonera; Mara Abel; Claiton M. S. Scherer (Expert Syst. Appl., 2015)

A Novel Density-Based Approach for Instance Selection. - Joel Luis Carbonera; Mara Abel (ICTAI, 2016)

Requirements for building an ontology for autonomous robots. - Behzad Bayat; Julita Bermejo-Alonso; Joel Luis Carbonera; Tullio Facchinetti; Sandro Rama Fiorini; Paulo Jorge Sequeira Gonçalves; Vitor A. M. Jorge; Maki K. Habib; Alaa M. Khamis; Kamilo Melo; Bao Nguyen; Joanna Isabelle Olszewska; et al. (Ind. Robot, 2016)

Um arcabouço cognitivamente inspirado para representação de conhecimento e raciocínio. - Joel Luis Carbonera (2016)

An Efficient Approach for Instance Selection. - Joel Luis Carbonera (DaWaK, 2017)

Efficient Prototype Selection Supported by Subspace Partitions. - Joel Luis Carbonera; Mara Abel (ICTAI, 2017)

Ontology for autonomous robotics. - Joanna Isabelle Olszewska; Marcos E. Barreto; Julita Bermejo-Alonso; Joel Luis Carbonera; Abdelghani Chibani; Sandro Rama Fiorini; Paulo Jorge Sequeira Gonçalves; Maki K. Habib; Alaa M. Khamis; Alberto Olivares Alarcos; Edison Pignaton de Freitas; Edson Prestes; et al. (RO-MAN, 2017)

An Efficient Prototype Selection Algorithm Based on Spatial Abstraction. - Joel Luís Carbonera; Mara Abel (DaWaK, 2018)

An Efficient Prototype Selection Algorithm Based on Dense Spatial Partitions. - Joel Luís Carbonera; Mara Abel (ICAISC (2), 2018)

Efficient Instance Selection Based on Spatial Abstraction. - Joel Luís Carbonera; Mara Abel (ICTAI, 2018)

What Rocks Are Made of: Towards an Ontological Pattern for Material Constitution in the Geological Domain. - Luan Fonseca Garcia; Joel Luis Carbonera; Fabrício Henrique Rodrigues; Cauã Antunes; Mara Abel (ER, 2019)

A Subspace Hierarchical Clustering Algorithm for Categorical Data. - Joel Luís Carbonera; Mara Abel (ICTAI, 2019)

An Efficient Approach for Semantic Relatedness Evaluation Based on Semantic Neighborhood. - Alcides Lopes; Renata dos Santos Alvarenga; Joel Luis Carbonera; Mara Abel (ICTAI, 2019)

Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications. - Rafael Rossi de Mello Brandão; Joel Luis Carbonera; Clarisse S. de Souza; Juliana S. Jansen Ferreira; Bernardo N. Gonçalves; Carla Faria Leitão (CoRR, 2019)

Ontologies for Industry 4.0. - Sampath Kumar Veera Ragavan; Alaa M. Khamis; Sandro Rama Fiorini; Joel Luís Carbonera; Alberto Olivares Alarcos; Maki K. Habib; Paulo Jorge Sequeira Gonçalves; Howard Li; Joanna Isabelle Olszewska (Knowl. Eng. Rev., 2019)

Upper-Level Types of Occurrent Based on the Principle of Ontological Conservation. - Fabrício Henrique Rodrigues; Joel Luís Carbonera; Mara Abel (ER, 2020)

A Density-Based Prototype Selection Approach. - Joel Luís Carbonera; Mara Abel (ICAISC (2), 2020)

An attraction-based approach for instance selection. - Joel Luís Carbonera; Mara Abel (ICTAI, 2020)

A Spatial Relation Ontology for Deep-Water Depositional System Description in Geology. - Fernando Cicconeto; Lucas Valadares Vieira; Mara Abel; Renata dos Santos Alvarenga; Joel Luis Carbonera (ONTOBRAS, 2020)

Robotic Standard Development Life Cycle in Action. - Joanna Isabelle Olszewska; Michael Houghtaling; Paulo Jorge Sequeira Gonçalves; Nicola Fabiano; Tamás Haidegger; Joel Luis Carbonera; William Remington Patterson; S. Veera Ragavan; Sandro Rama Fiorini; Edson Prestes (J. Intell. Robotic Syst., 2020)

LDBNN: A Local Density-based Nearest Neighbor Classifier. - Joel Luís Carbonera (ICEIS (1), 2021)

A Global Density-based Approach for Instance Selection. - Joel Luís Carbonera (ICEIS (1), 2021)

Proposal of Development of an Ontological Framework for Events as Transitions among Situations. - Fabrício Henrique Rodrigues; Joel Luís Carbonera; Mara Abel (ONTOBRAS, 2021)

What delimits an event: systems as invariant elements along events. - Fabrício Henrique Rodrigues; Joel Luís Carbonera; Lucas Valadares Vieira; Luan Fonseca Garcia; Mara Abel (ONTOBRAS, 2021)

"All the Things that Come and Go, Stop and Say Hello": Towards an ontological account of how participants enter and exit events. - Fabrício Henrique Rodrigues; Joel Luís Carbonera; Lucas Valadares Vieira; Mara Abel (ER, 2022)

Learning Domain Ontologies Based on Deep Learning e Top-Level Ontologies. - Alcides Gonçalves Lopes Junior; Joel Luis Carbonera; Mara Abel (ONTOBRAS, 2022)

Modelagem Conceitual do Domínio de Caracterização de Áreas de Risco a Escorregamentos Baseada em Ontologia de Fundamentação. - Dean P. Melo; Joel Luis Carbonera; Luan Fonseca Garcia; Fabrício Henrique Rodrigues (ONTOBRAS, 2022)

Predicting the top-level ontological concepts of domain entities using word embeddings, informal definitions, and deep learning. - Alcides Gonçalves Lopes Junior; Joel Luis Carbonera; Daniela Schmidt; Mara Abel (Expert Syst. Appl., 2022)

GeoReservoir: An ontology for deep-marine depositional system geometry description. - Fernando Cicconeto; Lucas Valadares Vieira; Mara Abel; Renata dos Santos Alvarenga; Joel Luis Carbonera; Luan Fonseca Garcia (Comput. Geosci., 2022)

"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. - Ana L. C. Bazzan; Anderson R. Tavares; André G. Pereira; Cláudio R. Jung; Jacob Scharcanski; Joel Luís Carbonera; Luís C. Lamb; Mariana Recamonde Mendoza; Thiago L. T. da Silveira; Viviane P. Moreira (Escola de Computação PPGC/UFRGS 50 Anos, 2023)

On the Use of ChatGPT for Classifying Domain Terms According to Upper Ontologies. - Fabrício Henrique Rodrigues; Alcides Gonçalves Lopes Junior; Nicolau Oyhenard dos Santos; Luan Fonseca Garcia; Joel Luis Carbonera; Mara Abel (ER (Workshops), 2023)

Multiscale Context Features for Geological Image Classification. - Matheus V. Todescato; Luan Fonseca Garcia; Dennis Giovani Balreira; Joel Luís Carbonera (ICEIS (1), 2023)

Disjointness axioms between top-level ontology concepts as a heuristic for word similarity evaluation. - Alcides Lopes; Joel Luis Carbonera; Mara Abel (ICTAI, 2023)

A Systematic Evaluation of Machine Learning Approaches for Petroleum Production Forecasting. - Marcos V. L. Pivetta; Artur H. Simon; Matheus M. Costa; Mara Abel; Joel Luis Carbonera (ICTAI, 2023)

Auxiliary Events - Towards an Ontological Account of Events That Affect Other Events. - Fabrício Henrique Rodrigues; Joel Luis Carbonera; Mara Abel (ONTOBRAS, 2023)

"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. - Ana L. C. Bazzan; Anderson R. Tavares; André G. Pereira; Cláudio R. Jung; Jacob Scharcanski; Joel Luis Carbonera; Luís C. Lamb; Mariana Recamonde Mendoza; Thiago L. T. da Silveira; Viviane P. Moreira (CoRR, 2023)

Ontological concepts for information sharing in cloud robotics. - Edison Pignaton de Freitas; Joanna Isabelle Olszewska; Joel Luís Carbonera; Sandro Rama Fiorini; Alaa M. Khamis; S. Veera Ragavan; Marcos E. Barreto; Edson Prestes; Maki K. Habib; Signe A. Redfield; Abdelghani Chibani; Paulo J. S. Gonçalves; et al. (J. Ambient Intell. Humaniz. Comput., 2023)

Using terms and informal definitions to classify domain entities into top-level ontology concepts: An approach based on language models. - Alcides Lopes; Joel Luis Carbonera; Daniela Schmidt; Luan Fonseca Garcia; Fabrício Henrique Rodrigues; Mara Abel (Knowl. Based Syst., 2023)

Architecting Digital Twins: From Concept to Reality. - Marcos Tomazzoli Leipnitz; Rafael Humann Petry; Fabrício Henrique Rodrigues; Haroldo Rojas de Souza Silva; Jaqueline Bitencourt Correia; Karin Becker; Juliano Araújo Wickboldt; Joel Luís Carbonera; João Cesar Netto; Mara Abel (CENTERIS/ProjMAN/HCist, 2024)

A Knowledge Base of Argumentation Schemes for Multi-Agent Systems. - Carlos Eduardo A. Ferreira; Débora C. Engelmann; Rafael H. Bordini; Joel Luis Carbonera; Alison R. Panisson (ICEIS (1), 2024)

Cross-Domain Classification of Domain Entities into Top-Level Ontology Concepts Using BERT: A Study Case on the BFO Domain Ontologies. - Alcides Lopes; Joel Luís Carbonera; Nicolau Santos; Fabrício Henrique Rodrigues; Luan Fonseca Garcia; Mara Abel (ICEIS (2), 2024)

An Evaluation of Pre-Trained Models for Feature Extraction in Image Classification. - Erick da Silva Puls; Matheus V. Todescato; Joel Luís Carbonera (ICEIS (1), 2024)

Graph Convolutional Networks for Image Classification: Comparing Approaches for Building Graphs from Images. - Júlia Pelayo Rodrigues; Joel Luís Carbonera (ICEIS (1), 2024)

Accelerating Prototype Selection with Spatial Abstraction. - Joel Luis Carbonera (ICTAI, 2024)

An Evaluation of Large Language Models for Geological Named Entity Recognition. - Rafael Oleques Nunes; Andre Suslik Spritzer; Dennis Giovani Balreira; Carla M. D. S. Freitas; Joel Luis Carbonera (ICTAI, 2024)

Investigating Performance Patterns of Pre-Trained Models for Feature Extraction in Image Classification. - Matheus Vinícius Todescato; Joel Luís Carbonera (ICTAI, 2024)

How to classify domain entities into top-level ontology concepts using large language models: A study across multiple labels, resources, and languages. - Alcides Lopes; Joel Luis Carbonera; Fabrício Henrique Rodrigues; Luan Fonseca Garcia; Mara Abel (JOWO, 2024)

Unveiling influential factors in classifying domain entities into top-level ontology concepts: An analysis using GO and ChEBI ontologies. - Alcides Lopes; Joel Luis Carbonera; Fabrício Henrique Rodrigues; Luan Fonseca Garcia; Mara Abel (ONTOBRAS, 2024)

How to Classify Domain Entities Into Top-Level Ontology Concepts Using Large Language Models. - Alcides Lopes; Joel Luís Carbonera; Fabrício Henrique Rodrigues; Luan Fonseca Garcia; Mara Abel (Appl. Ontology, 2024)

Standardizing an Ontology for Ethically Aligned Robotic and Autonomous Systems. - Michael Houghtaling; Sandro Rama Fiorini; Nicola Fabiano; Paulo J. S. Gonçalves; Ozlem Ulgen; Tamás Haidegger; Joel Luís Carbonera; Joanna Isabelle Olszewska; Brian Page; Zvikomborero Murahwi; Edson Prestes (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Multiscale patch-based feature graphs for image classification. - Matheus V. Todescato; Luan Fonseca Garcia; Dennis Giovani Balreira; Joel Luis Carbonera (Expert Syst. Appl., 2024)

A Framework for testing Federated Learning algorithms using an edge-like environment. - Felipe Machado Schwanck; Marcos Tomazzoli Leipnitz; Joel Luís Carbonera; Juliano Araújo Wickboldt (Future Gener. Comput. Syst., 2025)

Natural Language Processing in Geology: A Review of Portuguese Language Resources and Techniques. - Rafael Oleques Nunes; Andre Suslik Spritzer; Carla Maria Dal Sasso Freitas; Dennis Giovani Balreira; Joel Luís Carbonera (Proces. del Leng. Natural, 2025)

An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification. - Lucas M. Dorneles; Luan Fonseca Garcia; Joel Luís Carbonera (CoRR, 2025)