6 citations · 23 across the 7 of their papers we have counts for
7 papers
Diffusion models applied to skin and oral cancer classification
José J. M. Uliana, Renato A. Krohling
This study investigates the application of diffusion models in medical image classification (DiffMIC), focusing on skin and oral lesions. Utilizing the datasets PAD-UFES-20 for ski…
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…
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…