Ronnie Alves

Orcid: 0000-0003-4139-0562

According to our database1, Ronnie Alves authored at least 45 papers between 2004 and 2022.

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Bibliography

2022
Black Box Model Explanations and the Human Interpretability Expectations - An Analysis in the Context of Homicide Prediction.
CoRR, 2022

Global Explanation of Tree-Ensembles Models Based on Item Response Theory.
CoRR, 2022

Explanation-by-Example Based on Item Response Theory.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Polygonal Coordinate System: Visualizing high-dimensional data using geometric DR, and a deterministic version of t-SNE.
Expert Syst. Appl., 2021

Data vs classifiers, who wins?
CoRR, 2021

Does Dataset Complexity Matters for Model Explainers?
CoRR, 2021

Towards a reinforcement learning de novo genome assembler.
CoRR, 2021

geneRFinder: gene finding in distinct metagenomic data complexities.
BMC Bioinform., 2021

Prediction of Homicides in Urban Centers: A Machine Learning Approach.
Proceedings of the Intelligent Systems and Applications, 2021

Does Dataset Complexity Matters for Model Explainers?
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
NASirt: AutoML based learning with instance-level complexity information.
CoRR, 2020

Decoding Machine Learning Benchmarks.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
On the utilization of deep and ensemble learning to detect milk adulteration.
BioData Min., 2019

Machine learning meets genome assembly.
Briefings Bioinform., 2019

Genome Assembly Using Reinforcement Learning.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2019

On Clustering Validation in Metagenomics Sequence Binning.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2019

A Clustering Approach to Identify Candidates to Housekeeping Genes Based on RNA-seq Data.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2019

A Random Forest Classifier for Prokaryotes Gene Prediction.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

A Geometry-Based Approach to Visualize High-Dimensional Data.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
PIPEBAR and OverlapPER: tools for a fast and accurate DNA barcoding analysis and paired-end assembly.
BMC Bioinform., 2018

Metagenomics-based signature clustering and interactive visualization analysis.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016
Tally: a scoring tool for boundary determination between repetitive and non-repetitive protein sequences.
Bioinform., 2016

VCloud: adding interactiveness to word clouds for knowledge exploration in large unstructured texts.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A Module-Based Approach for Evaluating Differential Genome-Wide Expression Profiles.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
The Role of Machine Learning in Finding Chimeric RNAs.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015

2014
A Visual-Analytics System for Railway Safety Management.
IEEE Computer Graphics and Applications, 2014

BION2SEL: An Ontology-Based Approach for the Selection of Molecular Biology Databases.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2014

Towards an Ensemble Learning Strategy for Metagenomic Gene Prediction.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2014

FUNN-MG: A Metagenomic Systems Biology Computational Framework.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2014

A Pipeline for Functional and Visual Analytics of Microbial Genetic Networks.
Proceedings of the 2nd International Workshop on Dynamic Networks and Knowledge Discovery, 2014

2013
A Network-Based Meta-analysis Strategy for the Selection of Potential Gene Modules in Type 2 Diabetes.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2013

2012
RFMirTarget: A Random Forest Classifier for Human miRNA Target Gene Prediction.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2012

Detecting Abnormal Patterns in Call Graphs Based on the Aggregation of Relevant Vertex Measures.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

2011
Using Papers Citations for Selecting the Best Genomic Databases.
Proceedings of the 30th International Conference of the Chilean Computer Science Society, 2011

2010
Gene association analysis: a survey of frequent pattern mining from gene expression data.
Briefings Bioinform., 2010

Ranking Gradients in Multi-Dimensional Spaces.
Proceedings of the Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development, 2010

2009
Mining significant change patterns in multidimensional spaces.
Int. J. Bus. Intell. Data Min., 2009

2008
Aggregation-based mining methods: from single to N-dimensional data analysis
PhD thesis, 2008

2007
Effective OLAP Mining of Evolving Data Marts.
Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007

Mining Top-K Multidimensional Gradients.
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

2006
Establishing Fraud Detection Patterns Based on Signatures.
Proceedings of the Advances in Data Mining, 2006

On the Computation of Maximal-Correlated Cuboids Cells.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

2005
A Hybrid Method for Discovering Distance-Enhanced Inter-Transactional Rules.
Proceedings of the Actas de las X Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2005), 2005

Programming Relational Databases for <i>Itemset</i> Mining over Large Transactional Tables.
Proceedings of the Progress in Artificial Intelligence, 2005

2004
Mining Clickstream-Based Data Cubes.
Proceedings of the ICEIS 2004, 2004


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