245 citations · 383 across the 21 of their papers we have counts for
21 papers
CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis
Humberto Giuri, Renato A. Krohling
Content-Based Image Retrieval (CBIR) have shown promising results in the field of medical diagnosis, which aims to provide support to medical professionals (doctor or pathologist).…
Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms
Flavio P. Loss, Pedro H. da Cunha, Matheus B. Rocha +12
Skin lesions are classified in benign or malignant. Among the malignant, melanoma is a very aggressive cancer and the major cause of deaths. So, early diagnosis of skin cancer is v…
Bayesian artificial brain with ChatGPT
Renato A. Krohling
This paper aims to investigate the mathematical problem-solving capabilities of Chat Generative Pre-Trained Transformer (ChatGPT) in case of Bayesian reasoning. The study draws ins…
1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19
Breno Aguiar Krohling, Renato A Krohling
Machine and deep learning algorithms have increasingly been applied to solve problems in various areas of knowledge. Among these areas, Chemometrics has been benefited from the app…
Development of a hybrid method for stock trading based on TOPSIS, EMD and ELM
Elivelto Ebermam, Helder Knidel, Renato A. Krohling
Deciding when to buy or sell a stock is not an easy task because the market is hard to predict, being influenced by political and economic factors. Thus, methodologies based on com…
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets
Leandro M. de Lima, Renato A. Krohling
Skin cancer is one of the most common types of cancer in the world. Different computer-aided diagnosis systems have been proposed to tackle skin lesion diagnosis, most of them base…
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…
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…
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…
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…
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning
Leandro M. de Lima, Renato A. Krohling
High dropout rates in tertiary education expose a lack of efficiency that causes frustration of expectations and financial waste. Predicting students at risk is not enough to avoid…
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…
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…
The impact of patient clinical information on automated skin cancer detection
Andre G. C. Pacheco, Renato A. Krohling
Skin cancer is one of the most common types of cancer around the world. For this reason, over the past years, different approaches have been proposed to assist detect it. Nonethele…
Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress
J. G. M. Esgario, R. A. Krohling, J. A. Ventura
Biotic stress consists of damage to plants through other living organisms. Efficient control of biotic agents such as pests and pathogens (viruses, fungi, bacteria, etc.) is closel…
A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust
Giuliano L. Manso, Helder Knidel, Renato A. Krohling +1
Generally, the identification and classification of plant diseases and/or pests are performed by an expert . One of the problems facing coffee farmers in Brazil is crop infestation…
Application of Genetic Algorithms to the Multiple Team Formation Problem
Jose G. M. Esgario, Iago E. da Silva, Renato A. Krohling
Allocating of people in multiple projects is an important issue considering the efficiency of groups from the point of view of social interaction. In this paper, based on previous…
Restricted Boltzmann machine to determine the input weights for extreme learning machines
Andre Pacheco, Renato Krohling, Carlos da Silva
The Extreme Learning Machine (ELM) is a single-hidden layer feedforward neural network (SLFN) learning algorithm that can learn effectively and quickly. The ELM training phase assi…
Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS
Andre G. C. Pacheco, Renato A. Krohling
In classification problems when multiples algorithms are applied to different benchmarks a difficult issue arises, i.e., how can we rank the algorithms? In machine learning it is c…
TODIM and TOPSIS with Z-numbers
R. A. Krohling, Artem dos Santos, A. G. C. Pacheco
In this paper, we present an approach that is able to handle with Z-numbers in the context of Multi-Criteria Decision Making (MCDM) problems. Z-numbers are composed of two parts, t…
An approach to dealing with missing values in heterogeneous data using k-nearest neighbors
Davi E. N. Frossard, Igor O. Nunes, Renato A. Krohling
Techniques such as clusterization, neural networks and decision making usually rely on algorithms that are not well suited to deal with missing values. However, real world data fre…