Mariana Recamonde Mendoza

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Vertically Partitioned

Feature Selection

Convolutional Neural Networks

Top Venues

Comput. Biol. Medicine

Publications

Heloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, Wagner Ourique de Morais, Edison Pignaton de Freitas, Amira Soliman, Farzaneh Etminani, Stefan Byttner, Mariana Recamonde Mendoza
Graph neural networks for clinical risk prediction based on electronic health records: A survey. J. Biomed. Informatics 151 (2024)
Kayuã Oleques Paim, Ricardo Rohweder, Mariana Recamonde Mendoza, Rodrigo Brandão Mansilha, Weverton Cordeiro
Acoustic identification of Ae. aegypti mosquitoes using smartphone apps and residual convolutional neural networks. Biomed. Signal Process. Control. 95 (2024)
Kayuã Oleques Paim, Ricardo Rohweder, Mariana Recamonde Mendoza, Rodrigo Brandão Mansilha, Weverton Cordeiro
Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks. CoRR (2023)
Emanoel Aurelio Vianna Fabiano, Mariana Recamonde Mendoza
Prediction of Cancer-Related miRNA Targets Using an Integrative Heterogeneous Graph Neural Network-Based Method. BRACIS (3) (2023)
Daniel M. Kuhn, Melina Loreto, Mariana Recamonde Mendoza, João Luiz Dihl Comba, Viviane Pereira Moreira
Explainability of COVID-19 Classification Models Using Dimensionality Reduction of SHAP Values. BRACIS (1) (2023)
Ana L. C. Bazzan, Anderson R. Tavares, André G. Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luis Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. CoRR (2023)
João Schapke, Anderson R. Tavares, Mariana Recamonde Mendoza
EPGAT: Gene Essentiality Prediction With Graph Attention Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde Mendoza
A hybrid ensemble feature selection design for candidate biomarkers discovery from transcriptome profiles. Knowl. Based Syst. 254 (2022)
Renan Andrades, Mariana Recamonde Mendoza
Machine learning methods for prediction of cancer driver genes: a survey paper. Briefings Bioinform. 23 (3) (2022)
Thomas V. Fontanari, Tiago Comassetto Fróes, Mariana Recamonde Mendoza
Cross-validation Strategies for Balanced and Imbalanced Datasets. BRACIS (1) (2022)
Carlos Daniel Andrade, Thomas V. Fontanari, Mariana Recamonde Mendoza
Study on the Complexity of Omics Data: An Analysis for Cancer Survival Prediction. BSB (2022)
Marcelo Schreiber Fernandes, Weverton Cordeiro, Mariana Recamonde Mendoza
mosquitoes through audio classification with convolutional neural networks. Comput. Biol. Medicine 129 (2021)
Renan Andrades, Mariana Recamonde Mendoza
Machine learning methods for prediction of cancer driver genes: a survey paper. CoRR (2021)
Bernardo Trevizan, Mariana Recamonde Mendoza
Ensemble Feature Selection Compares to Meta-analysis for Breast Cancer Biomarker Identification from Microarray Data. ICCSA (1) (2021)
Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde Mendoza
A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles. CoRR (2021)
Grasiela Marcon, Flávia de Ávila Pereira, Aline Zimerman, Bruno Castro da Silva, Lisia von Diemen, Ives Cavalcante Passos, Mariana Recamonde Mendoza
Patterns of high-risk drinking among medical students: A web-based survey with machine learning. Comput. Biol. Medicine 136 (2021)
Bernardo Trevizan, Jorge C. Chamby-Diaz, Ana L. C. Bazzan, Mariana Recamonde Mendoza
A comparative evaluation of aggregation methods for machine learning over vertically partitioned data. Expert Syst. Appl. 152 (2020)
João Schapke, Anderson Tavares, Mariana Recamonde Mendoza
EPGAT: Gene Essentiality Prediction With Graph Attention Networks. CoRR (2020)
Hortênsia Costa Barcelos, Mariana Recamonde Mendoza, Viviane Pereira Moreira
Identifying and Fusing Duplicate Features for Data Mining. SBBD (2020)
Soheil Feizi, Gerald T. Quon, Mariana Recamonde Mendoza, Muriel Médard, Manolis Kellis, Ali Jadbabaie
Spectral Alignment of Graphs. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Marcelo Schreiber Fernandes, Weverton Cordeiro, Mariana Recamonde Mendoza
Detecting Aedes Aegypti Mosquitoes through Audio Classification with Convolutional Neural Networks. CoRR (2020)
Jorge Cristhian Chamby-Diaz, Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan
Dynamic Correlation-Based Feature Selection for Feature Drifts in Data Streams. BRACIS (2019)
Jorge C. Chamby-Diaz, Mariana Recamonde Mendoza, Ana L. C. Bazzan, Ricardo Grunitzki
Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification. IJCNN (2018)
Matheus Alves, Ana L. C. Bazzan, Mariana Recamonde Mendoza
Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks. BRACIS (2017)
Soheil Feizi, Gerald T. Quon, Mariana Recamonde Mendoza, Muriel Médard, Manolis Kellis, Ali Jadbabaie
Spectral Alignment of Networks. CoRR (2016)
Mariana Recamonde Mendoza, Ana L. C. Bazzan
Social choice in distributed classification tasks: Dealing with vertically partitioned data. Inf. Sci. 332 (2016)
Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan
The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions? AAAI (2013)
Mariana Recamonde Mendoza, Fabrício Martins Lopes, Ana Lúcia C. Bazzan
Reverse engineering of GRNs: an evolutionary approach based on the tsallis entropy. GECCO (2012)
Mariana Recamonde Mendoza, Adriano Velasque Werhli, Ana L. C. Bazzan
An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference. SBRN (2012)
Mariana Recamonde Mendoza, Guilherme C. da Fonseca, Guilherme L. de Morais, Ronnie Alves, Ana L. C. Bazzan, Rogerio Margis
RFMirTarget: A Random Forest Classifier for Human miRNA Target Gene Prediction. BSB (2012)
Mariana Recamonde Mendoza, Ana L. C. Bazzan
On the Ensemble Prediction of Gene Regulatory Networks: A Comparative Study. SBRN (2012)
Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan
Evolving random boolean networks with genetic algorithms for regulatory networks reconstruction. GECCO (2011)