Mariana Recamonde Mendoza
Orcid: 0000-0003-2800-1032
According to our database1,
Mariana Recamonde Mendoza
authored at least 29 papers
between 2011 and 2023.
Collaborative distances:
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Bibliography
2023
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI.
CoRR, 2023
COVID-VR: A Deep Learning COVID-19 Classification Model Using Volume-Rendered Computer Tomography.
CoRR, 2023
Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks.
CoRR, 2023
Explainability of COVID-19 Classification Models Using Dimensionality Reduction of SHAP Values.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
Prediction of Cancer-Related miRNA Targets Using an Integrative Heterogeneous Graph Neural Network-Based Method.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
Proceedings of the Escola de Computação PPGC/UFRGS 50 Anos: Transformando Desafios em Oportunidades Para o Futuro, 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A hybrid ensemble feature selection design for candidate biomarkers discovery from transcriptome profiles.
Knowl. Based Syst., 2022
Briefings Bioinform., 2022
Proceedings of the Advances in Bioinformatics and Computational Biology, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
Patterns of high-risk drinking among medical students: A web-based survey with machine learning.
Comput. Biol. Medicine, 2021
Detecting <i>Aedes aegypti</i> mosquitoes through audio classification with convolutional neural networks.
Comput. Biol. Medicine, 2021
Ensemble Feature Selection Compares to Meta-analysis for Breast Cancer Biomarker Identification from Microarray Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
2020
A comparative evaluation of aggregation methods for machine learning over vertically partitioned data.
Expert Syst. Appl., 2020
Detecting Aedes Aegypti Mosquitoes through Audio Classification with Convolutional Neural Networks.
CoRR, 2020
Proceedings of the 35th Brazilian Symposium on Databases, 2020
2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Social choice in distributed classification tasks: Dealing with vertically partitioned data.
Inf. Sci., 2016
2013
The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions?
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Proceedings of the Advances in Bioinformatics and Computational Biology, 2012
An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Evolving random boolean networks with genetic algorithms for regulatory networks reconstruction.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011