output
20002025
most citedA Mid-level Video Representation based on Binary Descriptors: A Case Study for Pornography Detection

54 citations

researchers with a paper here
collaborating institutions

21 papers

cs.SE2025

Using Copilot Agent Mode to Automate Library Migration: A Quantitative Assessment

Aylton Almeida, Laerte Xavier, Marco Tulio Valente

Keeping software systems up to date is essential to avoid technical debt, security vulnerabilities, and the rigidity typical of legacy systems. However, updating libraries and fram…

cs.HC2025

How People Manage Knowledge in their "Second Brains"- A Case Study with Industry Researchers Using Obsidian

Juliana Jansen Ferreira, Vinícius Segura, Joana Gabriela Souza +1

People face overwhelming information during work activities, necessitating effective organization and management strategies. Even in personal lives, individuals must keep, annotate…

cs.CV2024★ 51 cited

A comprehensive review and new taxonomy on superpixel segmentation

I. B. Barcelos, F. de C. Belém, L. de M. João +3

Superpixel segmentation consists of partitioning images into regions composed of similar and connected pixels. Its methods have been widely used in many computer vision application…

cs.SE2024★ 14 cited

Automatic Library Migration Using Large Language Models: First Results

Aylton Almeida, Laerte Xavier, Marco Tulio Valente

Despite being introduced only a few years ago, Large Language Models (LLMs) are already widely used by developers for code generation. However, their application in automating othe…

cs.SE2022★ 3 cited

Together or Apart? Investigating a mediator bot to aggregate bot's comments on pull requests

Eric Ribeiro, Ronan Nascimento, Igor Steinmacher +4

Software bots connect users and tools, streamlining the pull request review process in social coding platforms. However, bots can introduce information overload into developers' co…

cs.LG2021★ 1 cited

Improving Experience Replay through Modeling of Similar Transitions' Sets

Daniel Eugênio Neves, João Pedro Oliveira Batisteli, Eduardo Felipe Lopes +2

In this work, we propose and evaluate a new reinforcement learning method, COMPact Experience Replay (COMPER), which uses temporal difference learning with predicted target values…