SILVA, C. P., CARVALHO, M. F. T., COSTA, Y. M. G., FLORES, F. C., POLONIO, J. C., MANGOLIN, C. A. Detection and Analysis of Electrophoresis Gels Using YOLO, IEEE Transactions on Computational Biology and Bioinformatics, IEEE, 2025. [pdf]
TEIXEIRA, L. O.; BERTOLINI, D.; OLIVEIRA, L. E. S.; CAVALCANTI, G. D. C.; COSTA, Y. M. G. Triplet dissimilarity: improving dissimilarity approaches through metric learning, Procedia Computer Science, Elsevier, 2025. [pdf]
TEIXEIRA, L. O.; BERTOLINI, D.; OLIVEIRA, L. E. S.; CAVALCANTI, G. D. C.; COSTA, Y. M. G. Improving Open Set Recognition with Dissimilarity-Based Metric Learning, Knowledge-Based Systems, Elsevier, 2025. [pdf]
TEIXEIRA, L. O.; BERTOLINI, D.; OLIVEIRA, L. E. S.; CAVALCANTI, G. D. C.; COSTA, Y. M. G. Triplet dissimilarity: a texture classification approach using dissimilarity and siamese networks, Soft Computing, Springer, 2025. [pdf]
ZIMMERMANN, G. B. ; PELLENZ, M. E. ; COSTA, Y. M. G.; BRITTO JUNIOR, A. S. ORCNet: Enhancing Disease and Pest Detection in Greenhouse Tomato Cultivation Using Advanced Machine Learning on New Dataset of Images, Journal of the Brazilian Computer Society, SBC, 2025. [pdf]
LUCIO, D. R.; ZANLORENSI, L. A.; COSTA, Y. M. G.; MENOTTI, D. ORCNet: A context-based network to simultaneously segment the ocular region components, Neural Processing Letters, Volume 57, article 49, Springer, 2025. [pdf]
SOUZA, D. T.; OLIVEIRA, M. F. A.; CORDEIRO, A. F. R.; MARQUES, L. H. T.; COSTA, Y. M. G.; DELL'AGNOLO, C. M. Development, validation and usability of software for calculating the early warning scale in a teaching hospital ward, Journal of Medical and Biological Sciences, Instituto de Ciências da Saúde - UFBA, 2025. [pdf]
FELIPE, G. Z.; NANNI, L.; GARCIA, I. G.; ZANONI, J. N; COSTA, Y. M. G. ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy Images, Applied Sciences, 15(3), 1046, MDPI, 2025. [pdf]
TEIXEIRA, L. O.; BERTOLINI, D.; OLIVEIRA, L. E. S.; CAVALCANTI, G. D. C.; COSTA, Y. M. G. Contrastive dissimilarity: optimizing performance on imbalanced and limited data sets, Neural Computing and Applications, V. 36, Springer, 2024. [pdf]
FELIPE, G. Z.; TEIXEIRA, L. O.; PEREIRA, R. M.; ZANONI, J. N; SOUZA, S. R. G.; NANNI, L.; CAVALCANTI, G. D. C.; COSTA, Y. M. G. Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features, Neural Processing Letters, Springer, 2023. [pdf]
COSTA, Y. M. G.; TEIXEIRA, L. O.; SILVA JR., S. A.; BERTOLINI, D.; PEREIRA, R. M.; BRITTO JR., A. S.; OLIVEIRA, L. E. S.; CAVALCANTI, G. D. C. COVID-19 detection on chest X-ray and CT scan:a review of the top-100 most cited papers. Sensors, Special Issue "COVID-19 Biosensing Technologies", 2022. [pdf]
CARVALHO, M. F. T.; SILVA JR., S. A.; BERNARDO, C. C. O.; FLORES, F. C.; PERLES, J. V. C. M.; ZANONI, J. N.; COSTA, Y. M. G. Cancer Identification in Walker 256 Tumor Model Exploring Texture Properties Taken from Microphotograph of Rats Liver. Algorithms, Special Issue "Algorithms for Biomedical Image Analysis and Processing", 2022. [pdf]
MANGOLIN, R. B.; PEREIRA, R.M.; BRITTO JR., A. S.; SILLA JR., C. N.; FELTRIM, V. D.; BERTOLINI, D.; COSTA, Y. M. G.: A multimodal approach for multi-label movie genre classification, Multimedia Tools and Applications, Springer, 2022. [pdf]
TEIXEIRA, L. O.; PEREIRA, R. M.; BERTOLINI, D.; OLIVEIRA, L. E. S.; NANNI, L.; CAVALCANTI, G. D. C.; COSTA, Y. M. G. Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-Ray Images. Sensors, Special Issue "Medical Image Classification", 2021. [pdf]
PEREIRA, R. M.; COSTA, Y. M. G.; SILLA JR., C. N. Toward Hierarchical Classification of Imabalanced Data using Random Resampling Algorithms, INFORMATION SCIENCES, Elsevier, 2021. [pdf]
AGUIAR, R. L.; MAGUOLO, G.; NANNI, L.; COSTA, Y. M. G.; SILLA Jr. C. N. On the Importance of Passive Acoustic Monitoring Filters. Journal of Marine Science and Engineering, Ocean Engineering section, Special Issue "Application of Machine Learning in Marine Ecology Studies", 2021. [pdf]
FELIPE, G. Z.; ZANONI, J. N; SEHABER-SIERAKOWSKI, C. C.; BOSSOLANI, G. D. P.; SOUZA, S. R. G.; FLORES, F. C.; OLIVEIRA, L. E. S.; PEREIRA, R. M.; COSTA, Y. M. G. Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images, Neural Computing and Applications, Springer, 2021. [pdf]
PEREIRA, R. M.; COSTA, Y. M. G.; SILLA JR., C. N. Handling imbalance in hierarchical classification problems using local classifiers approaches, DATA MINING AND KNOWLEDGE DISCOVERY, Springer, 2021. [pdf]
NANNI, L.; COSTA, Y. M. G.; AGUIAR, R. L.; MANGOLIN, R. B.; BRAHNAM, S.; SILLA JR., C. N. Ensemble of convolutional neural networks to improve animal audio classification, EURASIP Journal on Audio, Speech and Music Processing, Volume 8, Springer, 2020. [pdf]
PEREIRA, R. M.; BERTOLINI, D.; TEIXEIRA, L. O.; SILLA JR., C. N.; COSTA, Y. M. G.: COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios, Computer Methods and Programs in Biomedicine, Volume 194, Elsevier, 2020. [pdf]
PEREIRA, R. M.; COSTA, Y. M. G.; SILLA JR., C. N. MLTL: A multi-label approach for the Tomek Link undersampling algorithm, NEUROCOMPUTING, Volume 383, Elsevier, 2020. [pdf]
MATSUSHITA, G. H. G.; SUGI, A. H.; COSTA, Y. M. G.; GOMEZ-A, A.; CUNHA, C.;OLIVEIRA, L. E. S. Phasic dopamine release identification using convolutional neural network, Computers in biology and medicine, Elsevier, V. 114, November 2019. [pdf]
COSTA, Y. M. G.; BERTOLINI, D.; BRITTO JR., A. S.; CAVALCANTI, G. D. C.; OLIVEIRA, L. E. S. The dissimilarity approach: a review. Artificial Intelligence Review, Springer, 2019, https://doi.org/10.1007/s10462-019-09746-z . [pdf]
ZOTTESSO, R. H. D.; COSTA, Y. M. G.; BERTOLINI, D.; OLIVEIRA, L. E. S. Bird species identification using spectrogram and dissimilarity approach, Ecological Informatics Journal, Elsevier, 2018. [pdf]
NANNI, L.; COSTA, Y. M. G.; AGUIAR, R. L.; SILLA Jr., C. N.; BRAHNAM, S. Ensemble of deep learning, visual and acoustic features for music genre classification, Journal of New Music Research, ISSN 1744-5027, 2018. [pdf]
NANNI, L.; AGUIAR, R. L.; COSTA, Y. M. G.; BRAHNAM, S; SILLA Jr., C. N.; BRATTIN, R. L.; ZHAO, Z. Bird and Whale Species Identification Using Sound Images, IET Computer Vision, special issue Computer Vision for Animal Biometrics, ISSN 1751-9640, 2018. [pdf]
NANNI, L.; COSTA, Y. M. G.; LUCIO, D. R.; SILLA Jr., C. N.; BRAHNAM, S. Combining visual and acoustic features for audio classification tasks. Pattern Recognition Letters , v. 88, p. 49-56, 2017. [pdf]
COSTA, Y. M. G.; OLIVEIRA, L. E. S.; SILLA Jr., C. N. An evaluation of Convolutional Neural Networks for music classification using spectrograms. Applied Soft Computing (Print) , v. 52, p. 28-38, 2017. [pdf]
NANNI, L.; COSTA, Y. M. G.; LUMINI, ALESSANDRA ; KIM, MOO YOUNG ; BAEK, SEUNG RYUL. Combining visual and acoustic features for music genre classification. Expert Systems with Applications , v. 45, p. 108-117, 2016. [pdf]
COSTA, Y. M. G.; Oliveira, L.S.; Koerich, A.L.; GOUYON, F.; Martins, J.G. Music genre classification using LBP textural features. Signal Processing (Print) , v. 92, p. 2723-2737, 2012. [pdf]