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Universidade Estadual Paulista (UNESP). Campus de Bauru. Faculdade de Ciências (FC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Leandro Ap. Passos is graduated in Informatics from Jaú's Faculty of Technology - FATEC (Brazil, 2009). He received his M.Sc. in Computer Science from São Paulo State University (UNESP) (Brazil, 2015) and Ph.D. in Computer Science from Federal University of São Carlos (UFSCar) (Brazil, 2018). During 2019-2021, he had worked as a post-doctorate researcher at UNESP, and as a post-doctorate at the University of Wolverhampton (England, UK) from 2021 to 2022. He has experience in Machine Learning and deep learning, acting on subjects related to clustering, classification, anomaly detection, image reconstruction, and optimization, among others. Most of his works employ graph- and energy-based approaches, as well as nature-inspired meta-heuristic algorithms and more biologically plausible algorithms. (Source: Lattes Curriculum)
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Quantum circuits play a crucial role in quantum information processing, forming the foundation of quantum computing. In this computational paradigm, quantum bits (qubits) are manipulated through quantum gates, enabling the execution of complex tasks. Unlike classical circuits, quantum circuits possess the remarkable ability to perform multiple operations simultaneously due to the phenomen…
Recent neurological discoveries on the cortex, the hippocampus, and different areas of the brain shed light on pyramidal cells, a neuronal architecture composed of five layers, i.e., Soma, Basal dendrites, Apical dendrites, Axon, and Collateral axon, whose interaction is responsible for the forward and backward flow of information, as well as the integration among context and memory, amon…
Benchmarks de imagem e vídeo são essenciais para o avanço de algoritmos de visão computacional voltados para compreensão de imagem e vídeo. Além do mais, a rápida evolução de algoritmos “estado-da-arte” para compreensão desses dados só foi possível graças às bases de dados em larga escala, como a ImageNet, por exemplo. No contexto de vídeos, porém, apesar do recente progresso de conjuntos…
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