Mariana Recamonde Mendoza

43 papers A* 1A 2B 1C 1Journal 22Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Pooling and Explainability in Graph Neural Networks for Tumor and Tissue-of-Origin Classification Using RNA-seq Data. CoRR Thomas V. Fontanari, Mariana Recamonde Mendoza
2025	—	`conf`	A Deep Learning Framework for Pulmonary Disease Classification Using Volume-Rendered CTs. SIBGRAPI Noemí Maritza Lapa Romero, Ricco Vasconcellos, Mariana Recamonde Mendoza, João Luiz Dihl Comba
2025	J	`jnl`	Comparing Cluster-Based Cross-Validation Strategies for Machine Learning Model Evaluation. CoRR Afonso Martini Spezia, Mariana Recamonde Mendoza
2025	J	`jnl`	Exploring the Feasibility of AI-Assisted Spine MRI Protocol Optimization Using DICOM Image Metadata. CoRR Alice Vian, Diego Andre Eifer, Mauricio Anés, Guilherme Ribeiro Garcia, Mariana Recamonde Mendoza
2025	—	`conf`	Mind the Gap: Investigating the Impact of Data Leakage on Machine Learning Predictive Models. BRACIS (2) Augusto Exenberger Becker, Mariana Recamonde Mendoza
2024	J	`jnl`	Acoustic identification of Ae. aegypti mosquitoes using smartphone apps and residual convolutional neural networks. Biomed. Signal Process. Control. Kayuã Oleques Paim, Ricardo Rohweder, Mariana Recamonde Mendoza, Rodrigo Brandão Mansilha, Weverton Cordeiro
2024	—	`conf`	Beyond Single Models: Leveraging LLM Ensembles for Human Value Detection in Text. STIL Diego Dimer Rodrigues, Mariana Recamonde Mendoza, Viviane P. Moreira
2024	—	`conf`	Evaluating the Generalization of Neural Network-Based Pan-Cancer Classification Models for Cohort-Specific Predictions. BSB Thomas V. Fontanari, Mariana Recamonde Mendoza
2024	J	`jnl`	Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph. CoRR Heloísa Oss Boll, Ali Amirahmadi, Amira Soliman, Stefan Byttner, Mariana Recamonde Mendoza
2024	J	`jnl`	Graph neural networks for clinical risk prediction based on electronic health records: A survey. J. Biomed. Informatics 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
2024	C	`conf`	Predicting Cancer Driver Genes: Leveraging Graph Convolutional Networks and Ensemble Learning. CIBCB Renan Soares de Andrades, Mariana Recamonde Mendoza
2023	—	`ch.`	"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. Escola de Computação PPGC/UFRGS 50 Anos Ana L. C. Bazzan, Anderson R. Tavares, André Grahl Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luís Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira
2023	J	`jnl`	"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. CoRR Ana L. C. Bazzan, Anderson R. Tavares, André Grahl Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luis Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira
2023	J	`jnl`	Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks. CoRR Kayuã Oleques Paim, Ricardo Rohweder, Mariana Recamonde Mendoza, Rodrigo Brandão Mansilha, Weverton Cordeiro
2023	J	`jnl`	COVID-VR: A Deep Learning COVID-19 Classification Model Using Volume-Rendered Computer Tomography. CoRR Noemí Maritza Lapa Romero, Ricco Vasconcellos, Mariana Recamonde Mendoza, João Luiz Dihl Comba
2023	—	`conf`	Explainability of COVID-19 Classification Models Using Dimensionality Reduction of SHAP Values. BRACIS (1) Daniel M. Kuhn, Melina Loreto, Mariana Recamonde Mendoza, João Luiz Dihl Comba, Viviane Pereira Moreira
2023	—	`conf`	Prediction of Cancer-Related miRNA Targets Using an Integrative Heterogeneous Graph Neural Network-Based Method. BRACIS (3) Emanoel Aurelio Vianna Fabiano, Mariana Recamonde Mendoza
2022	J	`jnl`	A hybrid ensemble feature selection design for candidate biomarkers discovery from transcriptome profiles. Knowl. Based Syst. Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde Mendoza
2022	—	`conf`	Cross-validation Strategies for Balanced and Imbalanced Datasets. BRACIS (1) Thomas V. Fontanari, Tiago Comassetto Fróes, Mariana Recamonde Mendoza
2022	J	`jnl`	EPGAT: Gene Essentiality Prediction With Graph Attention Networks. IEEE ACM Trans. Comput. Biol. Bioinform. João Schapke, Anderson R. Tavares, Mariana Recamonde Mendoza
2022	J	`jnl`	Machine learning methods for prediction of cancer driver genes: a survey paper. Briefings Bioinform. Renan Andrades, Mariana Recamonde Mendoza
2022	—	`conf`	Study on the Complexity of Omics Data: An Analysis for Cancer Survival Prediction. BSB Carlos Daniel Andrade, Thomas V. Fontanari, Mariana Recamonde Mendoza
2021	J	`jnl`	A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles. CoRR Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde Mendoza
2021	J	`jnl`	Detecting Comput. Biol. Medicine Marcelo Schreiber Fernandes, Weverton Cordeiro, Mariana Recamonde Mendoza
2021	—	`conf`	Ensemble Feature Selection Compares to Meta-analysis for Breast Cancer Biomarker Identification from Microarray Data. ICCSA (1) Bernardo Trevizan, Mariana Recamonde Mendoza
2021	J	`jnl`	Machine learning methods for prediction of cancer driver genes: a survey paper. CoRR Renan Andrades, Mariana Recamonde Mendoza
2021	J	`jnl`	Patterns of high-risk drinking among medical students: A web-based survey with machine learning. Comput. Biol. Medicine Grasiela Marcon, Flávia de Ávila Pereira, Aline Zimerman, Bruno Castro da Silva, Lisia von Diemen, Ives Cavalcante Passos, Mariana Recamonde Mendoza
2020	J	`jnl`	A comparative evaluation of aggregation methods for machine learning over vertically partitioned data. Expert Syst. Appl. Bernardo Trevizan, Jorge C. Chamby-Diaz, Ana L. C. Bazzan, Mariana Recamonde Mendoza
2020	J	`jnl`	Detecting Aedes Aegypti Mosquitoes through Audio Classification with Convolutional Neural Networks. CoRR Marcelo Schreiber Fernandes, Weverton Cordeiro, Mariana Recamonde Mendoza
2020	J	`jnl`	EPGAT: Gene Essentiality Prediction With Graph Attention Networks. CoRR João Schapke, Anderson R. Tavares, Mariana Recamonde Mendoza
2020	—	`conf`	Identifying and Fusing Duplicate Features for Data Mining. SBBD Hortênsia Costa Barcelos, Mariana Recamonde Mendoza, Viviane Pereira Moreira
2020	J	`jnl`	Spectral Alignment of Graphs. IEEE Trans. Netw. Sci. Eng. Soheil Feizi, Gerald T. Quon, Mariana Recamonde Mendoza, Muriel Médard, Manolis Kellis, Ali Jadbabaie
2019	—	`conf`	Dynamic Correlation-Based Feature Selection for Feature Drifts in Data Streams. BRACIS Jorge Cristhian Chamby-Diaz, Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan
2018	B	`conf`	Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification. IJCNN Jorge C. Chamby-Diaz, Mariana Recamonde Mendoza, Ana L. C. Bazzan, Ricardo Grunitzki
2017	—	`conf`	Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks. BRACIS Matheus Alves, Ana L. C. Bazzan, Mariana Recamonde Mendoza
2016	J	`jnl`	Social choice in distributed classification tasks: Dealing with vertically partitioned data. Inf. Sci. Mariana Recamonde Mendoza, Ana L. C. Bazzan
2016	J	`jnl`	Spectral Alignment of Networks. CoRR Soheil Feizi, Gerald T. Quon, Mariana Recamonde Mendoza, Muriel Médard, Manolis Kellis, Ali Jadbabaie
2013	A*	`conf`	The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions? AAAI Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan
2012	—	`conf`	An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference. SBRN Mariana Recamonde Mendoza, Adriano Velasque Werhli, Ana L. C. Bazzan
2012	—	`conf`	On the Ensemble Prediction of Gene Regulatory Networks: A Comparative Study. SBRN Mariana Recamonde Mendoza, Ana L. C. Bazzan
2012	—	`conf`	RFMirTarget: A Random Forest Classifier for Human miRNA Target Gene Prediction. BSB Mariana Recamonde Mendoza, Guilherme C. da Fonseca, Guilherme L. de Morais, Ronnie Alves, Ana L. C. Bazzan, Rogerio Margis
2012	A	`conf`	Reverse engineering of GRNs: an evolutionary approach based on the tsallis entropy. GECCO Mariana Recamonde Mendoza, Fabrício Martins Lopes, Ana Lúcia C. Bazzan
2011	A	`conf`	Evolving random boolean networks with genetic algorithms for regulatory networks reconstruction. GECCO Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan