| VAE-GNA: a variational autoencoder with Gaussian neurons in the latent space and attention mechanisms MB Rocha, RA Krohling Knowledge and Information Systems, 2024 | | 2024 |
| DIAGNOSIS OF ORAL POTENTIALLY MALIGNANT DISORDERS: A STUDY BASED ON ARTIFICIAL INTELLIGENCE. MCFR DE ASSIS, JP SOARES, LM DE LIMA, LAP DE BARROS, ... Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 137 (6), e283, 2024 | | 2024 |
| Solving Bayesian reasoning tasks with ChatGPT and Gemini RA Krohling https://engrxiv.org/preprint/view/3715/6600, 2024 | | 2024 |
| Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms FP Loss, PH da Cunha, MB Rocha, MP Zanoni, LM de Lima, ... http://arxiv.org/abs/2401.01200, 2024 | 1 | 2024 |
| Dataset - NIR-SC-UFES: A portable NIR spectral dataset to skin cancer in vivo PHP da Cunha, MP Zanoni, FD Santos, IT Nascimento, I Rezende, ... https://data.mendeley.com/datasets/j9773cyr3k/1, 2024 | | 2024 |
| Transformers, convolutional neural networks, and few-shot learning for classification of histopathological images of oral cancer BMS Maia, MCF de Assis, LM de Lima, MB Rocha, HG Calente, ... Expert Systems With Applications 122418, 2023 | 8 | 2023 |
| A multi-objective formulation for the team formation problem using Krippendorff’s disagreement and sociometric cohesion with Pareto-solutions obtained via evolutionary algorithms ALN Casotti, RA Krohling Computers & Operations Research 106444, 2023 | 1 | 2023 |
| An extreme learning machine algorithm for semi-supervised classification of unbalanced data streams with concept drift CAS da Silva, RA Krohling Multimedia Tools and Application, 2023 | | 2023 |
| Bayesian artificial brain with ChatGPT RA Krohling https://arxiv.org/abs/2308.14732, 2023 | 2 | 2023 |
| NDB-UFES: An oral cancer and leukoplakia dataset composed of histopathological images and patient data MCF Ribeiro-de-Assis, JP Soares, LM de Lima, LAP de Barros, ... Data in Brief 48, 109128, 2023 | 1 | 2023 |
| Dataset- NDB-UFES: An oral cancer and leukoplakia dataset composed of histopathological images and patient data MC Falcão Ribeiro de Assis, LM Lima, LA Pimenta de Barros, TR Velloso, ... https://data.mendeley.com/datasets/bbmmm4wgr8/4, 2023 | | 2023 |
| On the importance of complementary data to histopathological image analysis of oral leukoplakia and carcinoma using deep neural networks LM de Lima, MCFR de Assis, JP Soares, TR Grão-Velloso, LAP de Barros, ... Intelligent Medicine, 2023 | 5 | 2023 |
| 1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19 B Aguiar Krohling, RA Krohling https://arxiv.org/abs/2301.10746, arXiv: 2301.10746, 2023 | 3* | 2023 |
| Student dropout prediction using 1d cnn-lstm with variational autoencoder oversampling EC Coppo, RS Caetano, LM de Lima, RA Krohling 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2022 | 1 | 2022 |
| Deep and handcrafted features from clinical images combined with patient information for skin cancer diagnosis CFS da Fonseca Mendes, RA Krohling Chaos, Solitons & Fractals 162, 112445, 2022 | 2 | 2022 |
| Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets LM de Lima, RA Krohling 11th Brazilian Conference on Intelligent Systems (BRACIS), https://arxiv.org …, 2022 | 5 | 2022 |
| Development of a hybrid method for stock trading based on TOPSIS, EMD and ELM E Ebermam, H Knidel, RA Krohling https://arxiv.org/abs/2206.06723, 2022 | | 2022 |
| Few-shot learning for biotic stress classification of coffee leaves LM Tassis, RA Krohling Artificial Intelligence in Agriculture 6, 55-67, 2022 | 19 | 2022 |
| Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search RA Krohling, ERFA Schneider https://arxiv.org/abs/2204.02522, 2022 | | 2022 |
| A visualization tool for data analysis on higher education dropout: a case study at UFES PP Ladeira, LM de Lima, RA Krohling https://arxiv.org/abs/2201.12637, 2022 | | 2022 |
André G. C. PachecoFederal University of Espírito Santo在 inf.ufes.br 的电子邮件经过验证
