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Joel Luis Carbonera

Joel Luís Carbonera

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affiliation: Federal University of Rio Grande do Sul, Brazil

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2016
[b1]
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Joel Luis Carbonera:
Um arcabouço cognitivamente inspirado para representação de conhecimento e raciocínio. Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 2016

Journal Articles

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2025
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Felipe Machado Schwanck, Marcos Tomazzoli Leipnitz, Joel Luís Carbonera, Juliano Araujo Wickboldt:
A Framework for testing Federated Learning algorithms using an edge-like environment. Future Gener. Comput. Syst. 166: 107626 (2025)
[j14]
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Rafael Oleques Nunes, Andre Suslik Spritzer, Carla Maria Dal Sasso Freitas, Dennis Giovani Balreira, Joel Luís Carbonera:
Natural Language Processing in Geology: A Review of Portuguese Language Resources and Techniques. Proces. del Leng. Natural 74: 55-65 (2025)
2024
[j13]
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Matheus V. Todescato, Luan Fonseca Garcia, Dennis Giovani Balreira, Joel Luis Carbonera:
Multiscale patch-based feature graphs for image classification. Expert Syst. Appl. 235: 121116 (2024)
[j12]
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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:
Standardizing an Ontology for Ethically Aligned Robotic and Autonomous Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1791-1804 (2024)
2023
[j11]
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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, Julita Bermejo-Alonso, Ricardo Sanz, Elisa Tosello, Alberto Olivares Alarcos, Andréa Aparecida Konzen, João Quintas, Howard Li:
Ontological concepts for information sharing in cloud robotics. J. Ambient Intell. Humaniz. Comput. 14(5): 4921-4932 (2023)
[j10]
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Alcides Lopes, Joel Luis Carbonera, Daniela Schmidt, Luan Fonseca Garcia, Fabrício Henrique Rodrigues, Mara Abel:
Using terms and informal definitions to classify domain entities into top-level ontology concepts: An approach based on language models. Knowl. Based Syst. 265: 110385 (2023)
2022
[j9]
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Alcides Gonçalves Lopes Junior, Joel Luis Carbonera, Daniela Schmidt, Mara Abel:
Predicting the top-level ontological concepts of domain entities using word embeddings, informal definitions, and deep learning. Expert Syst. Appl. 203: 117291 (2022)
[j8]
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Fernando Cicconeto, Lucas Valadares Vieira, Mara Abel, Renata dos Santos Alvarenga, Joel Luis Carbonera, Luan Fonseca Garcia:
GeoReservoir: An ontology for deep-marine depositional system geometry description. Comput. Geosci. 159: 105005 (2022)
2020
[j7]
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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:
Robotic Standard Development Life Cycle in Action. J. Intell. Robotic Syst. 98(1): 119-131 (2020)
2019
[j6]
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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:
Ontologies for Industry 4.0. Knowl. Eng. Rev. 34: e17 (2019)
2016
[j5]
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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, Liam Paull, Edson Prestes, S. Veera Ragavan, Sajad Saeedi G., Ricardo Sanz, Mae L. Seto, Bruce Spencer, Amirkhosro Vosughi, Howard Li:
Requirements for building an ontology for autonomous robots. Ind. Robot 43(5): 469-480 (2016)
2015
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Mara Abel, Michel Perrin, Joel Luis Carbonera:
Ontological analysis for information integration in geomodeling. Earth Sci. Informatics 8(1): 21-36 (2015)
[j3]
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Sandro Rama Fiorini, Mara Abel, Joel Luis Carbonera:
Representation of part-whole similarity in geology. Earth Sci. Informatics 8(1): 77-94 (2015)
[j2]
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Joel Luis Carbonera, Mara Abel, Claiton M. S. Scherer:
Visual interpretation of events in petroleum exploration: An approach supported by well-founded ontologies. Expert Syst. Appl. 42(5): 2749-2763 (2015)
2013
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Edson Prestes, Joel Luis Carbonera, Sandro Rama Fiorini, Vitor A. M. Jorge, Mara Abel, Raj Madhavan, Angela Locoro, Paulo J. S. Gonçalves, Marcos E. Barreto, Maki K. Habib, Abdelghani Chibani, Sébastien Gérard, Yacine Amirat, Craig Schlenoff:
Towards a core ontology for robotics and automation. Robotics Auton. Syst. 61(11): 1193-1204 (2013)

Conference and Workshop Papers

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2024
[c54]
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Alcides Lopes, Joel Luís Carbonera, Nicolau Santos, Fabrício Henrique Rodrigues, Luan Fonseca Garcia, Mara Abel:
Cross-Domain Classification of Domain Entities into Top-Level Ontology Concepts Using BERT: A Study Case on the BFO Domain Ontologies. ICEIS (2) 2024: 141-148
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Júlia Pelayo Rodrigues, Joel Luís Carbonera:
Graph Convolutional Networks for Image Classification: Comparing Approaches for Building Graphs from Images. ICEIS (1) 2024: 437-446
[c52]
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Erick da Silva Puls, Matheus V. Todescato, Joel Luís Carbonera:
An Evaluation of Pre-Trained Models for Feature Extraction in Image Classification. ICEIS (1) 2024: 465-476
[c51]
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Carlos Eduardo A. Ferreira, Débora C. Engelmann, Rafael H. Bordini, Joel Luis Carbonera, Alison R. Panisson:
A Knowledge Base of Argumentation Schemes for Multi-Agent Systems. ICEIS (1) 2024: 587-594
[c50]
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Joel Luis Carbonera:
Accelerating Prototype Selection with Spatial Abstraction. ICTAI 2024: 193-198
[c49]
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Rafael Oleques Nunes, Andre Suslik Spritzer, Dennis Giovani Balreira, Carla M. D. S. Freitas, Joel Luis Carbonera:
An Evaluation of Large Language Models for Geological Named Entity Recognition. ICTAI 2024: 494-501
[c48]
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Matheus Vinícius Todescato, Joel Luís Carbonera:
Investigating Performance Patterns of Pre-Trained Models for Feature Extraction in Image Classification. ICTAI 2024: 1024-1031
[c47]
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Alcides Lopes, Joel Luis Carbonera, Fabrício Henrique Rodrigues, Luan Fonseca Garcia, Mara Abel:
How to classify domain entities into top-level ontology concepts using large language models: A study across multiple labels, resources, and languages. JOWO 2024
[c46]
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Alcides Lopes, Joel Luis Carbonera, Fabrício Henrique Rodrigues, Luan Fonseca Garcia, Mara Abel:
Unveiling influential factors in classifying domain entities into top-level ontology concepts: An analysis using GO and ChEBI ontologies. ONTOBRAS 2024
2023
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Fabrício Henrique Rodrigues, Alcides Gonçalves Lopes Junior, Nicolau Oyhenard dos Santos, Luan Fonseca Garcia, Joel Luis Carbonera, Mara Abel:
On the Use of ChatGPT for Classifying Domain Terms According to Upper Ontologies. ER (Workshops) 2023: 249-258
[c44]
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Matheus V. Todescato, Luan Fonseca Garcia, Dennis Giovani Balreira, Joel Luís Carbonera:
Multiscale Context Features for Geological Image Classification. ICEIS (1) 2023: 407-418
[c43]
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Marcos V. L. Pivetta, Artur H. Simon, Matheus M. Costa, Mara Abel, Joel Luis Carbonera:
A Systematic Evaluation of Machine Learning Approaches for Petroleum Production Forecasting. ICTAI 2023: 106-113
[c42]
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Alcides Lopes, Joel Luis Carbonera, Mara Abel:
Disjointness axioms between top-level ontology concepts as a heuristic for word similarity evaluation. ICTAI 2023: 538-545
[c41]
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Fabrício Henrique Rodrigues, Joel Luis Carbonera, Mara Abel:
Auxiliary Events - Towards an Ontological Account of Events That Affect Other Events. ONTOBRAS 2023: 22-36
2022
[c40]
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Fabrício Henrique Rodrigues, Joel Luís Carbonera, Lucas Valadares Vieira, Mara Abel:
"All the Things that Come and Go, Stop and Say Hello": Towards an ontological account of how participants enter and exit events. ER 2022: 102-112
[c39]
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Dean P. Melo, Joel Luis Carbonera, Luan Fonseca Garcia, Fabrício Henrique Rodrigues:
Modelagem Conceitual do Domínio de Caracterização de Áreas de Risco a Escorregamentos Baseada em Ontologia de Fundamentação. ONTOBRAS 2022: 137-145
[c38]
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Alcides Gonçalves Lopes Junior, Joel Luis Carbonera, Mara Abel:
Learning Domain Ontologies Based on Deep Learning e Top-Level Ontologies. ONTOBRAS 2022: 180-185
2021
[c37]
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Joel Luís Carbonera:
LDBNN: A Local Density-based Nearest Neighbor Classifier. ICEIS (1) 2021: 395-401
[c36]
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Joel Luís Carbonera:
A Global Density-based Approach for Instance Selection. ICEIS (1) 2021: 402-409
[c35]
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Fabrício Henrique Rodrigues, Joel Luís Carbonera, Lucas Valadares Vieira, Luan Fonseca Garcia, Mara Abel:
What delimits an event: systems as invariant elements along events. ONTOBRAS 2021: 218-230
[c34]
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Fabrício Henrique Rodrigues, Joel Luís Carbonera, Mara Abel:
Proposal of Development of an Ontological Framework for Events as Transitions among Situations. ONTOBRAS 2021: 297-302
2020
[c33]
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Fabrício Henrique Rodrigues, Joel Luís Carbonera, Mara Abel:
Upper-Level Types of Occurrent Based on the Principle of Ontological Conservation. ER 2020: 353-363
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Joel Luís Carbonera, Mara Abel:
A Density-Based Prototype Selection Approach. ICAISC (2) 2020: 117-129
[c31]
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Joel Luís Carbonera, Mara Abel:
An attraction-based approach for instance selection. ICTAI 2020: 1053-1058
[c30]
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Fernando Cicconeto, Lucas Valadares Vieira, Mara Abel, Renata dos Santos Alvarenga, Joel Luis Carbonera:
A Spatial Relation Ontology for Deep-Water Depositional System Description in Geology. ONTOBRAS 2020: 35-47
2019
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Luan Fonseca Garcia, Joel Luis Carbonera, Fabrício Henrique Rodrigues, Cauã Antunes, Mara Abel:
What Rocks Are Made of: Towards an Ontological Pattern for Material Constitution in the Geological Domain. ER 2019: 275-286
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Alcides Lopes, Renata dos Santos Alvarenga, Joel Luis Carbonera, Mara Abel:
An Efficient Approach for Semantic Relatedness Evaluation Based on Semantic Neighborhood. ICTAI 2019: 316-323
[c27]
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Joel Luís Carbonera, Mara Abel:
A Subspace Hierarchical Clustering Algorithm for Categorical Data. ICTAI 2019: 509-516
2018
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Joel Luís Carbonera, Mara Abel:
An Efficient Prototype Selection Algorithm Based on Spatial Abstraction. DaWaK 2018: 177-192
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Joel Luís Carbonera, Mara Abel:
An Efficient Prototype Selection Algorithm Based on Dense Spatial Partitions. ICAISC (2) 2018: 288-300
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Joel Luís Carbonera, Mara Abel:
Efficient Instance Selection Based on Spatial Abstraction. ICTAI 2018: 286-292
2017
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Joel Luis Carbonera:
An Efficient Approach for Instance Selection. DaWaK 2017: 228-243
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Joel Luis Carbonera, Mara Abel:
Efficient Prototype Selection Supported by Subspace Partitions. ICTAI 2017: 921-928
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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, S. Veera Ragavan, Signe A. Redfield, Ricardo Sanz, Bruce Spencer, Howard Li:
Ontology for autonomous robotics. RO-MAN 2017: 189-194
2016
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Joel Luis Carbonera, Mara Abel:
A Novel Density-Based Approach for Instance Selection. ICTAI 2016: 549-556
2015
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Jose Lozano, Joel Luis Carbonera, Marcelo Pimenta, Mara Abel:
RockQuery - An Ontology-based Data Querying Tool. ICEIS (3) 2015: 25-33
[c18]
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Joel Luis Carbonera, Mara Abel:
CBK-Modes: A Correlation-based Algorithm for Categorical Data Clustering. ICEIS (1) 2015: 603-608
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Joel Luis Carbonera, Mara Abel:
A Cognition-inspired Knowledge Representation Approach for Knowledge-based Interpretation Systems. ICEIS (1) 2015: 644-649
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Joel Luis Carbonera, Mara Abel:
A Density-Based Approach for Instance Selection. ICTAI 2015: 768-774
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Joel Luis Carbonera, Mara Abel:
A Cognitively Inspired Approach for Knowledge Representation and Reasoning in Knowledge-Based Systems. IJCAI 2015: 4349-4350
[c14]
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Jose Lozano, Joel Luis Carbonera, Mara Abel:
A Novel Approach for Extracting Well-Founded Ontology Views. JOWO@IJCAI 2015
[c13]
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Mara Abel, Joel Luis Carbonera, Sandro Rama Fiorini, Luan Fonseca Garcia, Luiz Fernando De Ros:
The Multiple Applications of a Mature Domain Ontology. ONTOBRAS 2015
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Joel Luis Carbonera, Mara Abel:
Extended Ontologies: a Cognitively Inspired Approach. ONTOBRAS 2015
2014
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Jose Lozano, Joel Luis Carbonera, Mara Abel, Marcelo Pimenta:
Ontology View Extraction: An Approach Based on Ontological Meta-properties. ICTAI 2014: 122-129
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Luan Fonseca Garcia, Joel Luis Carbonera, Mara Abel:
An Ontology-Based Automatic Approach for Lithologic Correlation. ICTAI 2014: 130-137
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Joel Luis Carbonera, Mara Abel:
Categorical Data Clustering: A Correlation-Based Approach for Unsupervised Attribute Weighting. ICTAI 2014: 259-263
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Joel Luis Carbonera, Mara Abel:
An Entropy-Based Subspace Clustering Algorithm for Categorical Data. ICTAI 2014: 272-277
2013
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Joel Luis Carbonera, Mara Abel, Claiton M. S. Scherer, Ariane Kravczyk Bernardes:
Visual Interpretation of Events in Petroleum Geology. ICTAI 2013: 189-194
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Joel Luis Carbonera, Sandro Rama Fiorini, Edson Prestes, Vitor A. M. Jorge, Mara Abel, Raj Madhavan, Angela Locoro, Paulo J. S. Gonçalves, Tamás Haidegger, Marcos E. Barreto, Craig Schlenoff:
Defining positioning in a core ontology for robotics. IROS 2013: 1867-1872
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Luan Fonseca Garcia, Joel Luis Carbonera, Mara Abel:
Ontologias Aplicadas ao Problema de Correlação Litológica no Domínio da Geologia do Petróleo. ONTOBRAS 2013: 203-208
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Sandro Rama Fiorini, Joel Luis Carbonera, Vitor A. M. Jorge, Edson Prestes, Mara Abel:
Uma Ontologia para Padronização do Domínio de Robótica e Automação. ONTOBRAS 2013: 209-214
2012
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Joel Luis Carbonera, Mara Abel, Claiton M. S. Scherer, Ariane Kravczyk Bernardes:
Abordagem para Aquisição de Conhecimento Visual e Refinamento de Ontologias para domínios visuais. ONTOBRAS-MOST 2012: 236-241
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Douglas Eduardo Rosa, Joel Luis Carbonera, Gabriel M. Torres, Mara Abel:
Using Events from UFO-B in an Ontology Collaborative Construction Environment. ONTOBRAS-MOST 2012: 278-283
2011
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Joel Luis Carbonera, Mara Abel, Claiton M. S. Scherer, Ariane Kravczyk Bernardes:
Reasoning Over Visual Knowledge. ONTOBRAS-MOST 2011: 49-60

Parts in Books or Collections

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2023
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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:
"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. Escola de Computação PPGC/UFRGS 50 Anos 2023: 167-209

Editorship

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2021
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Fernanda Farinelli, Rita Cristina Galarraga Berardi, Joel Luis Carbonera, Daniela Schmidt:
Proceedings of the XIV Seminar on Ontology Research in Brazil (ONTOBRAS 2021) and V Doctoral and Masters Consortium on Ontologies (WTDO 2021), Online, Brazil, November 16-19, 2021. CEUR Workshop Proceedings 3050, CEUR-WS.org 2021 [contents]
2018
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Joel Luis Carbonera, Giancarlo Guizzardi:
Proceedings of the XI Seminar on Ontology Research in Brazil and II Doctoral and Masters Consortium on Ontologies, São Paulo, Brazil, October 1st-3rd, 2018. CEUR Workshop Proceedings 2228, CEUR-WS.org 2018 [contents]

Informal and Other Publications

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2024
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Joel Luís Carbonera:
Accelerating prototype selection with spatial abstraction. CoRR abs/2403.11020 (2024)
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Felipe Machado Schwanck, Marcos Tomazzoli Leipnitz, Joel Luís Carbonera, Juliano Araujo Wickboldt:
A Framework for testing Federated Learning algorithms using an edge-like environment. CoRR abs/2407.12980 (2024)
2023
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Erick da Silva Puls, Matheus V. Todescato, Joel Luis Carbonera:
An evaluation of pre-trained models for feature extraction in image classification. CoRR abs/2310.02037 (2023)
[i2]
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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:
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. CoRR abs/2310.18324 (2023)
2019
[i1]
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Rafael Rossi de Mello Brandão, Joel Luis Carbonera, Clarisse S. de Souza, Juliana S. Jansen Ferreira, Bernardo N. Gonçalves, Carla Faria Leitão:
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications. CoRR abs/1907.07178 (2019)

Coauthor Index

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