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Titlebook: Intelligent Systems; 11th Brazilian Confe João Carlos Xavier-Junior,Ricardo Araújo Rios Conference proceedings 2022 The Editor(s) (if appli

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,Human Identification Based on Gait and Soft Biometrics,viduals by the way they walk, and this premise is the basis of most recent works on gait recognition. However, even state-of-art methods, still do not present the required robustness to work on a productive environment. The goal of this work is to propose an improvement to state-of-art gait recognit
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Training Aware Sigmoidal Optimization,hase uses a low learning rate to approach the center of the local minimum previously found slowly. We compared the proposed approach with commonly used adaptive learning rates schedules such as Adam, RMSProp, and Adagrad. Our experiments showed that TASO outperformed all competing methods in both op
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,A Study of Emergency Siren Recognition on Resource-Constrained Devices,licly available datasets: ESC-50, US8K and AudioSet. The best performing model on ESC-50 was GhostNet, achieving an F-Score of ., with a Multiply-and-Accumulate Complexity (MACC) of 0.517., whereas the 1D CNN obtained the best F-Score on US8K (.), with an MACC of 27.125.. Additionally, we verified t
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Event Detection in Therapy Sessions for Children with Autism,ate how machine learning techniques can help specialists by providing an automated analysis of ASD recorded therapy sessions. The proposed solution is capable of handling large amounts of video data, filtering out irrelevant frames and keeping only relevant scenes for posterior analysis. Our results
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Claudio Dornelles Mello Jr.,Bryan Umpierre Moreira,Paulo Jefferson Dias de Oliveira Evald,Paulo Jorg
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