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Titlebook: Computational Neuroscience; Third Latin American Paulo Rogério de Almeida Ribeiro,Vinícius Rosa Cot Conference proceedings 2022 Springer Na

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Use and Interpretation of Item Response Theory Applied to Machine Learning, as a way to make them easier for the model, without modifying its performance. To this end, we divided the study into two experiments: the first one consists in increasing the items of greater difficulty, discrimination and guessing, adding noise to them; and the second one consists of reducing a
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Towards Loop Closure Detection for SLAM Applications Using Bag of Visual Features: Experiments and Ss resources. This paper discusses the evaluation of a Bag of Visual Features (BoVF) approach, extracting features through local descriptors (e.g., SIFT, SURF, KAZE), and local binary descriptors (e.g., BRIEF, ORB, BRISK, AKAZE, FREAK). The descriptors were evaluated in the recognition and classifica
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Loss Function Regularization on the Iterated Racing Procedure for Automatic Tuning of RatSLAM Parameuate for the entire environment. This work proposes a regularisation of the automatic algorithm objective function to incorporate the advantages of the manual solution into it. The proposed process uses only part of a virtual environment to find the parameters for the RatSLAM. Then, these parameters
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Controlling the UR3 Robotic Arm Using a Leap Motion: A Comparative Studysubjective questionnaires to compare the control methods and preferences. Our findings suggest that both methods employ similar gestures, but coded control takes less time with higher variations among ages. Moreover, subjects’ preferences indicate a slight inclination towards the open mode. Finally,
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Web Service Based Epileptic Seizure Detection by Applying Machine Learning Techniques applied diverse machine learning methods such as Decision Trees, Logistic Regression, Support Vector Machines (SVM), and Multilayer Perceptron (MLP) and compared their results. We also applied different preprocessing methods such as Fourier Transform, Cosine Transform, Short-Term Fourier Transform,
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Implementation of Intra and Extracellular Nonperiodic Scale-Free Stimulation , for the NEURON SimulaEURON simulator. Neuronal responses reproduced the distinct temporal patterns of stimulation in a high-fidelity fashion, while being influenced by both stimulus polarity and distance from electrode tip. These results suggest our solutions successfully implemented intra and extracellular NPS (as well
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Brain Connectivity Measures in EEG-Based Biometry for Epilepsy Patients: A Pilot Studys were obtained with magnitude-squared coherence and motif synchronization, for the data segmented in epochs of 10 s and filtered between 1 40 Hz. All the measures with the signal filtered in the same range obtained an accuracy equal or higher than ., a result that can be enhanced with more complex
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