Leandro A. Passos

1.2k total citations
48 papers, 666 citations indexed

About

Leandro A. Passos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Leandro A. Passos has authored 48 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Leandro A. Passos's work include Electricity Theft Detection Techniques (12 papers), Anomaly Detection Techniques and Applications (9 papers) and Generative Adversarial Networks and Image Synthesis (8 papers). Leandro A. Passos is often cited by papers focused on Electricity Theft Detection Techniques (12 papers), Anomaly Detection Techniques and Applications (9 papers) and Generative Adversarial Networks and Image Synthesis (8 papers). Leandro A. Passos collaborates with scholars based in Brazil, United Kingdom and Spain. Leandro A. Passos's co-authors include João Paulo Papa, Kelton Augusto Pontara da Costa, Victor Hugo C. de Albuquerque, Douglas Rodrigues, Dinesh Kumar, Tiago Carvalho, Edmar Rezende, André Nunes de Souza, Parham Khojasteh and Behzad Aliahmad and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Leandro A. Passos

44 papers receiving 650 citations

Peers

Countries citing papers authored by Leandro A. Passos

Since Specialization

Citations

This map shows the geographic impact of Leandro A. Passos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leandro A. Passos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leandro A. Passos more than expected).

Fields of papers citing papers by Leandro A. Passos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leandro A. Passos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leandro A. Passos. The network helps show where Leandro A. Passos may publish in the future.

Co-authorship network of co-authors of Leandro A. Passos

This figure shows the co-authorship network connecting the top 25 collaborators of Leandro A. Passos. A scholar is included among the top collaborators of Leandro A. Passos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leandro A. Passos. Leandro A. Passos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Facial Expression Analysis in Parkinsons’s Disease Using Machine Learning: A Review 2025 ·ACM Computing Surveys ·(unknown), (unknown), Leandro A. Passos, (unknown), João Paulo Papa, Dinesh Kumar	1
2	Facial expressions to identify post-stroke: A pilot study 2024 ·Computer Methods and Programs in Biomedicine ·(unknown), (unknown), Leandro A. Passos, Leonardo S. S. Oliveira, João Paulo Papa, Dinesh Kumar	6
3	A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs 2024 ·Neurocomputing ·(unknown), Rahma Fourati, (unknown), Leandro A. Passos, João Paulo Papa, Mounir Ben Ayed, Amir Hussain	3
4	Video Assessment to Detect Amyotrophic Lateral Sclerosis 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Leandro A. Passos, (unknown), (unknown), (unknown), Dinesh Kumar	2
5	A review of deep learning‐based approaches for deepfake content detection 2024 ·Expert Systems ·Leandro A. Passos, (unknown), Kelton Augusto Pontara da Costa, Luis A. de Souza, Douglas Rodrigues, Javier Del Ser, David Camacho, João Paulo Papa	31
6	RecognAVSE: An Audio-Visual Speech Enhancement Approach using Separable 3D convolutions and Deep Complex U-Net 2024 ·(unknown), Leandro A. Passos, Rahma Fourati, João Paulo Papa, Amir Hussain	1
7	AVSE-Pruner: Filter Pruning of Audio-Visual Speech Enhancement System using Multi-objective Binary Particle Swarm Optimization 2024 ·Rahma Fourati, (unknown), (unknown), Mandar Gogate, Kia Dashtipour, Leandro A. Passos, João Paulo Papa, Tughrul Arslan, Amir Hussain	1
8	OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest 2023 ·(unknown), Leandro A. Passos, Douglas Rodrigues, (unknown), Kelton Augusto Pontara da Costa, João Paulo Papa	1
9	Tabular data augmentation for video-based detection of hypomimia in Parkinson’s disease 2023 ·Computer Methods and Programs in Biomedicine ·Guilherme Oliveira, (unknown), Leandro A. Passos, João Paulo Papa, (unknown), Dinesh Kumar	15
10	PL-kNN: A Python-based implementation of a parameterless k -Nearest Neighbors classifier 2022 ·Software Impacts ·(unknown), Leandro A. Passos, Ahsan Adeel, João Paulo Papa	11
11	Gait Recognition Based on Deep Learning: A Survey 2022 ·ACM Computing Surveys ·Claudio Filipi Gonçalves dos Santos, (unknown), Leandro A. Passos, (unknown), (unknown), Lucas Pascotti Valem, (unknown), (unknown), (unknown), João Paulo Papa, Danilo Colombo	63
12	A Novel Approach to Well Barrier Survival Analysis using Machine Learning 2022 ·Danilo Colombo, Gílson Brito Alves Lima, João Paulo Papa, Leandro A. Passos, (unknown)	1
13	Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines 2021 ·Computers in Biology and Medicine ·(unknown), (unknown), Leandro A. Passos, (unknown), (unknown), Plácido Rogério Pinheiro, Victor Hugo C. de Albuquerque	37
14	Reinforcing learning in Deep Belief Networks through nature-inspired optimization 2021 ·Applied Soft Computing ·(unknown), Leandro A. Passos, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, João Paulo Papa	16
15	Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks 2020 ·Computers in Biology and Medicine ·Luis A. de Souza, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa	33
16	A critical literature survey and prospects on tampering and anomaly detection in image data 2020 ·Applied Soft Computing ·Kelton Augusto Pontara da Costa, João Paulo Papa, Leandro A. Passos, Danilo Colombo, Javier Del Ser, Khan Muhammad, Victor Hugo C. de Albuquerque	24
17	Quaternion-Based Backtracking Search Optimization Algorithm 2019 ·UNESP Institutional Repository (São Paulo State University) ·Leandro A. Passos, Douglas Rodrigues, João Paulo Papa	3
18	Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering 2018 ·IEEE Network ·(unknown), Leandro A. Passos, Raimir Holanda Filho, Victor Hugo C. de Albuquerque, Joel J. P. C. Rodrigues, Mikhail Komarov, João Paulo Papa	28
19	Exudate detection in fundus images using deeply-learnable features 2018 ·Computers in Biology and Medicine ·Parham Khojasteh, Leandro A. Passos, Tiago Carvalho, Edmar Rezende, Behzad Aliahmad, João Paulo Papa, Dinesh Kumar	101
20	Temperature-Based Deep Boltzmann Machines 2017 ·Neural Processing Letters ·Leandro A. Passos, João Paulo Papa	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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