57 citations · 94 across the 8 of their papers we have counts for
8 papers
Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations
Henrique Zan Grande, Jeovane Honorio Alves, Rayson Laroca +1
This work presents an approach to the Generalizability Across Tumors (BraTS-GoAT) task of the BraTS 2026 Challenge, which focuses on robust segmentation of brain tumor sub-regions…
LongKey: Keyphrase Extraction for Long Documents
Jeovane Honorio Alves, Radu State, Cinthia Obladen de Almendra Freitas +1
In an era of information overload, manually annotating the vast and growing corpus of documents and scholarly papers is increasingly impractical. Automated keyphrase extraction add…
Detecting Relevant Information in High-Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis
Jeovane Honório Alves, Horácio A. C. G. Pedroso, Rafael Honorio Venetikides +4
The growing use of digital communication platforms has given rise to various criminal activities, such as grooming and drug dealing, which pose significant challenges to law enforc…
Vehicle Occurrence-based Parking Space Detection
Paulo R. Lisboa de Almeida, Jeovane Honório Alves, Luiz S. Oliveira +3
Smart-parking solutions use sensors, cameras, and data analysis to improve parking efficiency and reduce traffic congestion. Computer vision-based methods have been used extensivel…
A Systematic Review on Computer Vision-Based Parking Lot Management Applied on Public Datasets
Paulo Ricardo Lisboa de Almeida, Jeovane Honório Alves, Rafael Stubs Parpinelli +1
Computer vision-based parking lot management methods have been extensively researched upon owing to their flexibility and cost-effectiveness. To evaluate such methods authors often…
Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach
Jeovane Honorio Alves, Lucas Ferrari de Oliveira
Efficient identification of people and objects, segmentation of regions of interest and extraction of relevant data in images, texts, audios and videos are evolving considerably in…
An Automatic Patch-based Approach for HER-2 Scoring in Immunohistochemical Breast Cancer Images Using Color Features
Caroline Q. Cordeiro, Sergio O. Ioshii, Jeovane H. Alves +1
Breast cancer (BC) is the most common cancer among women world-wide, approximately 20-25% of BCs are HER-2 positive. Analysis of HER-2 is fundamental to defining the appropriate th…
Extracting Lungs from CT Images using Fully Convolutional Networks
Jeovane Honório Alves, Pedro Martins Moreira Neto, Lucas Ferrari de Oliveira
Analysis of cancer and other pathological diseases, like the interstitial lung diseases (ILDs), is usually possible through Computed Tomography (CT) scans. To aid this, a preproces…