Marilton S. de Aguiar

Orcid: 0000-0002-5247-6022

Affiliations:
  • Federal University of Pelotas (UFPel), PPGC, Brazil


According to our database1, Marilton S. de Aguiar authored at least 56 papers between 2004 and 2024.

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Bibliography

2024
Lessons learned from the student dropout patterns on COVID-19 pandemic: An analysis supported by machine learning.
Br. J. Educ. Technol., March, 2024

Educational Data Mining for Dropout Prediction: Trends, Opportunities, and Challenges.
Revista Brasileira de Informática na Educ., 2024

DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy.
Proceedings of the 20th Brazilian Symposium on Information Systems, 2024

A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Neuroplasticity-Based Literacy Rescue: A Multisensory and Tangible Learning Methodology for Children at Risk.
Proceedings of the IEEE Global Engineering Education Conference, 2024

2023
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection.
ACM Trans. Intell. Syst. Technol., February, 2023

A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture.
IEEE Access, 2023

Exploring Heterogeneous Open Multi-Agent Systems on Cloud Using a Docker-Based Architecture.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

How to improve the quality of GAN-based map generators.
Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment, 2023

Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2023

Modeling organizational level of agents with moise+ to a natural resources management RPG.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

The Impact of a Water Resources Management RPG (Role-Playing Game) on the Players' Lives: An Analysis Based on Collective Subject Discourse.
Proceedings of the IEEE Frontiers in Education Conference, 2023

The Importance of Using Games to Understand the Pollution Problem and the Water Management Complexity: an Analysis Based on Collective Subject Discourse.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Analyzing Role Playing Game and its Roles and Concepts Based on Collective Subject Discourse.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Alfaba: A Tangible Solution to Support Brazilian Dyslexic Students in their Literacy Process.
Proceedings of the IEEE Global Engineering Education Conference, 2023

2022
A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model.
Sensors, 2022

Predicting COVID-19 hospitalizations with attribute selection based on genetic and classification algorithms.
Braz. J. Inf. Syst., 2022

A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021
Attribute selection based on genetic and classification algorithms in the prediction of hospitalization need of COVID-19 patients.
Proceedings of the SBSI 2021: XVII Brazilian Symposium on Information Systems, Uberlândia, Brazil, June 7, 2021

Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions.
Proceedings of the International Joint Conference on Neural Networks, 2021

Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021


A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Water Resources Analysis: An Approach based on Agent-Based Modeling.
RITA, 2020

RDE-MOGA: Automatic Selection of Rate-Distortion-Energy Control Points for Video Encoders Using Muti-Objetive Genetic Algorithm.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Mapping needs, motivations, habits and strategies of RPG players in the context of water resources management.
Proceedings of the IEEE Frontiers in Education Conference, 2020

AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-agent Systems.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Diagnosis of Apple Fruit Diseases in the Wild with Mask R-CNN.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
Systematic Review of Natural Resource Management using Multiagent Systems and Role-Playing Games.
Res. Comput. Sci., 2019

Deep Learning applied to the Identification of Fruit Fly in Intelligent Traps.
Proceedings of the IX Brazilian Symposium on Computing Systems Engineering, 2019

Ontology-Based Legal System in Multi-agents Systems.
Proceedings of the Advances in Soft Computing, 2019

Brazilian Traffic Signs Detection and Recognition in Videos Using CLAHE, HOG Feature Extraction and SVM Cascade Classifier with Temporal Coherence.
Proceedings of the Advances in Soft Computing, 2019

Mineral Classification Using Machine Learning and Images of Microscopic Rock Thin Section.
Proceedings of the Advances in Soft Computing, 2019

2018
A Legislation-Oriented VLE-MAS System Applied to MOODLE.
Res. Comput. Sci., 2018

Identification of fruit fly in intelligent traps using techniques of digital image processing and machine learning.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2017
A Model for Pest Infestation Prediction in Crops Based on Local Meteorological Monitoring Stations.
Proceedings of the Sixteenth Mexican International Conference on Artificial Intelligence, 2017

A legislation-oriented VLE-MAS system applied to MOODLE.
Proceedings of the 16th International Conference on Information Technology Based Higher Education and Training, 2017

2016
Computação na Educação Básica no Brasil: o Estado da Arte.
RITA, 2016

2015
Mobile ACORoute - Route Recommendation Based on Communication by Pheromones.
Polibits, 2015

An Architecture Proposal Based in Intelligent Algorithms for Motifs Discovery in Genetic Expressions.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

An Extension of Fuzzy C-Means Applied to Spot Recognition in Images of Two-Dimensional Electrophoresis.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015

2014
An Evolutionary Spatial Game-based Approach for the Self-regulation of Social Exchanges in MAS.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
Discussing the Challenges Related to Deployment of Computational Thinking in Brazilian Basic Education.
Proceedings of the 2nd Workshop-School on Theoretical Computer Science, 2013

An Extended Evolutionary Learning Approach For Multiple Robot Path Planning In A Multi-Agent Environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Computational Techniques to Manage Natural Resources.
Int. J. Organ. Collect. Intell., 2012

2011
On Vector and Matrices of Fuzzy Numbers.
Proceedings of the 2011 Workshop-School on Theoretical Computer Science, 2011

Cultural Algorithms: A Study of Concepts and Approaches.
Proceedings of the 2011 Workshop-School on Theoretical Computer Science, 2011

Hybrid Intelligent Systems: A Study on Genetic Algorithms and Fuzzy Approaches.
Proceedings of the 2011 Workshop-School on Theoretical Computer Science, 2011

Exploring the use of heuristic-based algorithms for the ordering and partitioning of coefficients for power efficient fir filters realization.
Proceedings of the 24th Symposium on Integrated Circuits and Systems Design, 2011

2010
Ordering and partitioning of coefficients based on heuristic algorithms for low power FIR filter realization.
Proceedings of the 23rd Annual Symposium on Integrated Circuits and Systems Design, 2010

2009
NUMA-ICTM: A parallel version of ICTM exploiting memory placement strategies for NUMA machines.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

2006
Extending the HPC-ICTM Geographical Categorization Model for Grid Computing.
Proceedings of the Applied Parallel Computing. State of the Art in Scientific Computing, 2006

HPC-ICTM: a Parallel Model for Geographic Categorization.
Proceedings of the 2006 IEEE John Vincent Atanasoff International Symposium on Modern Computing (JVA2006), 2006

2004
ICTM: An Interval Tessellation-Based Model for Reliable Topographic Segmentation.
Numer. Algorithms, 2004

HPC-ICTM: The Interval Categorizer Tessellation-Based Model for High Performance Computing.
Proceedings of the Applied Parallel Computing, 2004

The Multi-layered Interval Categorizer Tesselation-based Model.
Proceedings of the VI Brazilian Symposium on Geoinformatics, 2004


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