Search Results - "Carbonera, Joel Luis"

Standardizing an Ontology for Ethically Aligned Robotic and Autonomous Systems by Houghtaling, Michael A., Fiorini, Sandro Rama, Fabiano, Nicola, Goncalves, Paulo J. S., Ulgen, Ozlem, Haidegger, Tamas, Carbonera, Joel Luis, Olszewska, Joanna Isabelle, Page, Brian, Murahwi, Zvikomborero, Prestes, Edson

“…Domain-specific ontologies support system design and can establish a framework for fulfilling user-level, safety, or ethical requirements. The IEEE 7007-2021…”
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Ontological concepts for information sharing in cloud robotics by Pignaton de Freitas, Edison, Olszewska, Joanna Isabelle, Carbonera, Joel Luís, Fiorini, Sandro R., Khamis, Alaa, Ragavan, S. Veera, Barreto, Marcos E., Prestes, Edson, Habib, Maki K., Redfield, Signe, Chibani, Abdelghani, Goncalves, Paulo, Bermejo-Alonso, Julita, Sanz, Ricardo, Tosello, Elisa, Olivares-Alarcos, Alberto, Konzen, Andrea Aparecida, Quintas, João, Li, Howard

“…Recent research and developments in cloud robotics (CR) require appropriate knowledge representation to ensure interoperable data, information, and knowledge…”
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Predicting the top-level ontological concepts of domain entities using word embeddings, informal definitions, and deep learning by Lopes, Alcides Gonçalves, Carbonera, Joel Luis, Schimidt, Daniela, Abel, Mara

“…Ontology development is a challenging task that encompasses many time-consuming activities. One of these activities is the classification of the domain…”
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GeoReservoir: An ontology for deep-marine depositional system geometry description by Cicconeto, Fernando, Vieira, Lucas Valadares, Abel, Mara, Alvarenga, Renata dos Santos, Carbonera, Joel Luis, Garcia, Luan Fonseca

“…An ontology is a logical theory that accounts for a domain vocabulary’s intended meaning, allowing us to develop a computational artifact that explicitly and…”
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Towards a core ontology for robotics and automation by Prestes, Edson, Carbonera, Joel Luis, Rama Fiorini, Sandro, M. Jorge, Vitor A., Abel, Mara, Madhavan, Raj, Locoro, Angela, Goncalves, Paulo, E. Barreto, Marcos, Habib, Maki, Chibani, Abdelghani, Gérard, Sébastien, Amirat, Yacine, Schlenoff, Craig

“…In this paper, we present the current results of the newly formed IEEE-RAS Working Group, named Ontologies for Robotics and Automation. In particular, we…”
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Robotic Standard Development Life Cycle in Action by Olszewska, Joanna Isabelle, Houghtaling, Michael, Goncalves, Paulo J. S., Fabiano, Nicola, Haidegger, Tamas, Carbonera, Joel Luis, Patterson, William Remington, Ragavan, S. Veera, Fiorini, Sandro R., Prestes, Edson

“…Robotics is a fast-growing field which requires the efficient development of adapted standards. Hence, in this paper, we propose a development methodology to…”
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Visual interpretation of events in petroleum exploration: An approach supported by well-founded ontologies by Carbonera, Joel Luis, Abel, Mara, Scherer, Claiton M.S.

“…•We propose an ontology-based approach for visual interpretation tasks.•Our approach applies ontological meta-properties of a foundational ontology.•We propose…”
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Extensions to the core ontology for robotics and automation by Fiorini, Sandro Rama, Carbonera, Joel Luis, Gonçalves, Paulo, Jorge, Vitor A.M., Rey, Vítor Fortes, Haidegger, Tamás, Abel, Mara, Redfield, Signe A., Balakirsky, Stephen, Ragavan, Veera, Li, Howard, Schlenoff, Craig, Prestes, Edson

“…The working group Ontologies for Robotics and Automation, sponsored by the IEEE Robotics & Automation Society, recently proposed a Core Ontology for Robotics…”
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Ontological analysis for information integration in geomodeling by Abel, Mara, Perrin, Michel, Carbonera, Joel Luis

“…When building earth models, data heterogeneity is a major difficulty. Heterogeneity can be a consequence of different geologists’ views or goals when capturing…”
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Representation of part-whole similarity in geology by Fiorini, Sandro Rama, Abel, Mara, Carbonera, Joel Luis

“…Similarity and part-whole relations are important for problem-solving in geology. In this article, we propose a concept representation framework that can…”
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Exploring the IEEE ontology for robotics and automation for heterogeneous agent interaction by Jorge, Vitor A.M., Rey, Vitor F., Maffei, Renan, Fiorini, Sandro Rama, Carbonera, Joel Luis, Branchi, Flora, Meireles, João P., Franco, Guilherme S., Farina, Flávia, da Silva, Tatiana S., Kolberg, Mariana, Abel, Mara, Prestes, Edson

“…Spatial notions play a key role when humans and robots interact. Robotics & Automation (R&A) often involves diverse scenarios where heterogeneous robots must…”
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A Density-Based Approach for Instance Selection by Carbonera, Joel Luis, Abel, Mara

“…Instance selection is an important preprocessing step that can be applied in many machine learning tasks. Due to the increasing of the size of the datasets,…”
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An attraction-based approach for instance selection by Carbonera, Joel Luis, Abel, Mara

“…Due to the increasing size of the datasets, instance selection techniques have been applied for reducing the computational resources involved in data mining…”
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Efficient Instance Selection Based on Spatial Abstraction by Carbonera, Joel Luis, Abel, Mara

“…Machine learning approaches have been applied in huge volumes of data. In order to deal with this big data, techniques for instance selection have been applied…”
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Defining positioning in a core ontology for robotics by Carbonera, Joel Luis, Rama Fiorini, Sandro, Prestes, Edson, Jorge, Vitor A. M., Abel, Mara, Madhavan, Raj, Locoro, Angela, Goncalves, Paulo, Haidegger, Tamas, Barreto, Marcos E., Schlenoff, Craig

“…Unambiguous definition of spatial position and orientation has crucial importance for robotics. In this paper we propose an ontology about positioning. It is…”
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A Subspace Hierarchical Clustering Algorithm for Categorical Data by Carbonera, Joel Luis, Abel, Mara

“…In this paper, we propose a soft subspace hierarchical clustering for dealing with categorical data. The proposed algorithm extends the traditional…”
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Efficient Prototype Selection Supported by Subspace Partitions by Carbonera, Joel Luis, Abel, Mara

“…Nowadays, data mining approaches have been applied for extracting useful knowledge from a huge volume of data. In order to deal with this big data, techniques…”
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A Novel Density-Based Approach for Instance Selection by Carbonera, Joel Luis, Abel, Mara

“…Due to the increasing of the size of the datasets, techniques for instance selection have been applied for reducing the data to a manageable volume, leading to…”
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An Entropy-Based Subspace Clustering Algorithm for Categorical Data by Carbonera, Joel Luis, Abel, Mara

“…The interest in attribute weighting for soft subspace clustering have been increasing in the last years. However, most of the proposed approaches are designed…”
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"A Nova Eletricidade: Aplica\c{c}\~oes, Riscos e Tend\^encias da IA Moderna -- "The New Electricity": Applications, Risks, and Trends in Current AI by Bazzan, Ana L. C, Tavares, Anderson R, Pereira, André G, Jung, Cláudio R, Scharcanski, Jacob, Carbonera, Joel Luis, Lamb, Luís C, Recamonde-Mendoza, Mariana, da Silveira, Thiago L. T, Moreira, Viviane

“…The thought-provoking analogy between AI and electricity, made by computer scientist and entrepreneur Andrew Ng, summarizes the deep transformation that recent…”
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