Leandro Aparecido Passos Junior
Universidade Estadual Paulista (Unesp), UNESP - São Paulo State University, Universidade Federal de São Carlos, University of Wolverhampton
Research areas: Computer Science · Artificial Intelligence · Metaheuristic Optimization Algorithms Research · Machine Learning and Data Classification · Neural Networks and Applications
About
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 the Federal University of São Carlos (UFSCar) (Brazil, 2018). From 2019 to 2021, he 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. His works employ graph- and energy-based approaches, nature-inspired meta-heuristic algorithms, and more biologically plausible algorithms.
Employment
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Universidade Estadual Paulista (Unesp) Assistant Professor2026 - Present
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UNESP - São Paulo State University Postdoctoral Researcher2023 - 2026
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University of Wolverhampton Researcher2021 - 2022
Education
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São Paulo State University Post-Doctorate2023 - Present
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São Paulo State University Post PhD2019 - 2020
- 2015 - 2018
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Sao Paulo State University Master's2013 - 2015
Projects & Funding
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Estudo e desenvolvimento de modelos computacionais inteligentes biologicamente plausíveis São Paulo Research Foundation2023 - 2025
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Towards cognitively-inspired 5G-IoT enabled, multi-modal Hearing Aids Engineering and Physical Sciences Research Council
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Support for Computational Environments and Experiments Execution: Data Acquisition, Categorization, and Maintenance Fundação de Amparo à Pesquisa do Estado de São Paulo
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Tracking and Recognizing Improper Behaviors in Risk Environments Using Restricted Boltzmann Machines Fundação para o Desenvolvimento da UNESP
Publications (130)
- OPFsembleR: An Optimum-Path Forest-Based Framework for Ensemble Pruning Save
- FALQON-MST: A Fully Quantum Framework for Graph Optimization in Vision Systems Save
- Facial Expression Analysis in Parkinsons’s Disease Using Machine Learning: A Review Save
- Efficient and Sustainable Audio-Visual Speech Enhancement through Latency-Aware Pruned Model Save
- Tackling Reverberation and Binaural Data on Audio-Visual Speech Enhancement through RecognAVSE Save
- EEG microstates classification empowered with optimum-path forest using different distance measurements Save
- A Quantum-inspired Approach to Estimate Optimum-Path Forest Prototypes based on the Traveling Salesman Problem Save
- Bionerf: Biologically Plausible Neural Radiance Fields for View Synthesis Save
- Bionerf: Biologically Plausible Neural Radiance Fields for View Synthesis Save
- Customized Atrous Spatial Pyramid Pooling with Joint Convolutions for Urban Tree Segmentation Save
- Domain-Invariant Classification of Misplaced Medical Devices in Plain Chest X-Ray Images Save
- Graph Matching Networks Meet Optimum-Path Forest: How to Prune Ensembles Efficiently Save
- Hate Speech Detection in Portuguese Using BERTimbau Save
- A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs Save
- A comprehensive study among distance measures on supervised optimum-path forest classification Save
- DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett’s esophagus Save
- BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis Save
- Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks Save
- Enhancing Cyberattack Detection in IoT Environments Through Advanced Resampling Techniques Save
- Ensemble Diversity Pruning on Cybersecurity: Optimizing Intrusion Detection Systems Save