Search Results - "Romero, Roseli A. F."
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Selecting salient objects in real scenes: An oscillatory correlation model
Published in Neural networks (2011)“…Attention is a critical mechanism for visual scene analysis. By means of attention, it is possible to break down the analysis of a complex scene to the…”
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A neurorobotics approach to behaviour selection based on human activity recognition
Published in Cognitive neurodynamics (01-08-2023)“…Behaviour selection has been an active research topic for robotics, in particular in the field of human–robot interaction. For a robot to interact autonomously…”
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Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease
Published in Frontiers in neurorobotics (01-07-2021)“…In this work, we present the first steps toward the creation of a new neurorobotics model of Parkinson's Disease (PD) that embeds, for the first time in a real…”
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Deep Q-network for social robotics using emotional social signals
Published in Frontiers in robotics and AI (26-09-2022)“…Social robotics represents a branch of human-robot interaction dedicated to developing systems to control the robots to operate in unstructured environments…”
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A Data-Driven Biophysical Computational Model of Parkinson's Disease Based on Marmoset Monkeys
Published in IEEE access (2021)“…In this work we propose a new biophysical computational model of brain regions relevant to Parkinson's Disease (PD) based on local field potential data…”
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An object-based visual selection framework
Published in Neurocomputing (Amsterdam) (05-03-2016)“…Real scenes are composed of multiple points possessing distinct characteristics. Selectively, only part of the scene undergoes scrutiny at a time, and the…”
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Particle competition for complex network community detection
Published in Chaos (Woodbury, N.Y.) (01-09-2008)“…In many real situations, randomness is considered to be uncertainty or even confusion which impedes human beings from making a correct decision. Here we study…”
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Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy
Published in IEEE robotics and automation letters (01-04-2022)“…Semantic maps represent the environment using a set of semantically meaningful objects. This representation is storage-efficient, less ambiguous, and more…”
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A Deep Reinforcement Learning Approach with Visual Semantic Navigation with Memory for Mobile Robots in Indoor Home Context
Published in Journal of intelligent & robotic systems (01-03-2022)“…Navigate is a crucial task to be performed by social robot agents in complex and uncertain environments like homes and offices. Search for specific target…”
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Using Ontology as a Strategy for Modeling the Interface Between the Cognitive and Robotic Systems
Published in Journal of intelligent & robotic systems (01-09-2020)“…This work contributes to the social robotics area by defining an architecture, called Cognitive Model Development Environment (CMDE) that models the…”
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Place Recognition in Forests With Urquhart Tessellations
Published in IEEE robotics and automation letters (01-04-2021)“…In this letter, we present a novel descriptor based on Urquhart tessellations derived from the position of trees in a forest. We propose a framework that uses…”
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New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists
Published in Journal of molecular modeling (01-10-2017)“…The treatment of neuropathic pain is very complex and there are few drugs approved for this purpose. Among the studied compounds in the literature, sigma-1…”
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Locally oriented potential field for controlling multi-robots
Published in Communications in nonlinear science & numerical simulation (01-12-2012)“…► We propose an approach for controlling multi robots in a robot soccer scenario. ► Our proposal uses the potential field generated by the numeric solution of…”
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Automated Keyphrase Generation for Brazilian Legal Information Retrieval
Published in 2023 International Joint Conference on Neural Networks (IJCNN) (18-06-2023)“…Due to the high volume of cases in transit in the Brazilian judicial system, it is of great interest to automate processes that help legal professionals. With…”
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Conference Proceeding -
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Artificial Neural Networks and the Study of the Psychoactivity of Cannabinoid Compounds
Published in Chemical biology & drug design (01-06-2010)“…Cannabinoid compounds have widely been employed because of its medicinal and psychotropic properties. These compounds are isolated from Cannabis sativa (or…”
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Semantic and Depth Learning for Autonomous Forest Mapping
Published in 2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE) (09-10-2023)“…While overhead data can provide general information about a forest, inside the forest we can identify understory plants, measure the diameter and count the…”
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Conference Proceeding -
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A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition
Published 27-09-2022“…Behaviour selection has been an active research topic for robotics, in particular in the field of human-robot interaction. For a robot to interact effectively…”
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Journal Article -
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A Social Human-Robot Interaction Simulator for Reinforcement Learning Systems
Published in 2021 20th International Conference on Advanced Robotics (ICAR) (06-12-2021)“…Social robotics represents a branch of human-robot interaction that aims to develop robots to operate in unstructured environments in direct partnership with…”
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Conference Proceeding -
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Deep Reinforcement Learning for Visual Semantic Navigation with Memory
Published in 2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE) (09-11-2020)“…Navigation is an important activity to be performed by mobile robots with high complexity in the context of indoor environments. Approaches as Deep…”
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Conference Proceeding -
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Unsupervised Breast Masses Classification through Optimum-Path Forest
Published in 2015 IEEE 28th International Symposium on Computer-Based Medical Systems (01-06-2015)“…Computer-Aided Diagnosis (CAD) can be divided into two main categories: CADe (Computer-Aided Detection), which is focused on the detection of structures of…”
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Conference Proceeding Journal Article