activity
20172022
most citedA smartphone application to detection and classification of coffee leaf miner and coffee leaf rust

36 citations · 61 across the 8 of their papers we have counts for

collaborators

11 papers

cs.NE2022

Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search

Renato A. Krohling, Erick R. F. A. Schneider

This paper presents a method to solve non-linear integer multiobjective optimization problems. First the problem is formulated using the Technique for Order Preference by Similarit…

cs.CY20224 cited

A visualization tool for data analysis on higher education dropout: a case study at UFES

Pedro P. Ladeira, Leandro M. de Lima, Renato A. Krohling

Through the analysis of cultural, socioeconomic and academic performance aspects it is possible to map the profile of the students and their motivations to drop out. This article a…

cs.CV20221 cited

Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data

José G. M. Esgario, Renato A. Krohling

kin cancer is considered one of the most common type of cancer in several countries. Due to the difficulty and subjectivity in the clinical diagnosis of skin lesions, Computer-Aide…

eess.IV2021

A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information

Breno Krohling, Pedro B. C. Castro, Andre G. C. Pacheco +1

Over the last decades, the incidence of skin cancer, melanoma and non-melanoma, has increased at a continuous rate. In particular for melanoma, the deadliest type of skin cancer, e…

eess.IV20201 cited

PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones

Andre G. C. Pacheco, Gustavo R. Lima, Amanda S. Salomão +16

Over the past few years, different computer-aided diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images s…

eess.IV201911 cited

Recent advances in deep learning applied to skin cancer detection

Andre G. C. Pacheco, Renato A. Krohling

Skin cancer is a major public health problem around the world. Its early detection is very important to increase patient prognostics. However, the lack of qualified professionals a…