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ORCIDMarilton S. de Aguiar
Marilton Sanchotene de Aguiar
Person information
- affiliation: Federal University of Pelotas (UFPel), PPGC, Brazil
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2020 – today
- 2024
[j14]Miriam Pizzatto Colpo
, Tiago Thompsen Primo, Marilton Sanchotene de Aguiar:
Lessons learned from the student dropout patterns on COVID-19 pandemic: An analysis supported by machine learning. Br. J. Educ. Technol. 55(2): 560-585 (2024)- [j13]Miriam Pizzatto Colpo, Tiago Thompsen Primo, Marilton Sanchotene de Aguiar, Cristian Cechinel:
Educational Data Mining for Dropout Prediction: Trends, Opportunities, and Challenges. Revista Brasileira de Informática na Educ. 32: 220-256 (2024) - [c43]Laura Quevedo Jurgina, Lui Gill Aquini, Marilton Sanchotene de Aguiar, Leomar Soares da Rosa, João Pedro Lopes, Tiago Duarte Mackedanz, Angela Ines Klein, Tiago Thompsen Primo, Rafael Iankowski Soares:
Neuroplasticity-Based Literacy Rescue: A Multisensory and Tangible Learning Methodology for Children at Risk. EDUCON 2024: 1-10 - [c42]Bruno Cascaes Alves, Marla Pereira Melo, Artur Melchiori Cerri, Larissa Astrogildo de Freitas, Diana Francisca Adamatti, Marilton Sanchotene de Aguiar:
A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals. FLAIRS 2024 - [c41]Marcelo Dias, Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Alejandro Pereira, Fernando Ollé:
DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy. SBSI 2024: 57:1-57:9 - 2023
- [j12]Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Alejandro Pereira, Marcelo Ribeiro, Bruno Belloni:
A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture. IEEE Access 11: 43603-43618 (2023) - [j11]Lucas C. Freitas, Valter A. M. Martins, Marilton S. de Aguiar, Lisane B. de Brisolara, Paulo R. Ferreira Jr.:
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection. ACM Trans. Intell. Syst. Technol. 14(1): 10:1-10:24 (2023) - [c40]Laura Quevedo Jurgina, Lui Gill Aquini, Rafael Iankowski Soares, Leomar Soares da Rosa Jr., Marilton Sanchotene de Aguiar, Tiago Thompsen Primo:
Alfaba: A Tangible Solution to Support Brazilian Dyslexic Students in their Literacy Process. EDUCON 2023: 1-9 - [c39]Míriam B. Born, Fernanda P. Mota, Marilton S. de Aguiar, Diana Francisca Adamatti:
Analyzing Role Playing Game and its Roles and Concepts Based on Collective Subject Discourse. FIE 2023: 1-6 - [c38]Míriam B. Born, Fernanda P. Mota, Marilton S. de Aguiar, Diana Francisca Adamatti:
The Importance of Using Games to Understand the Pollution Problem and the Water Management Complexity: an Analysis Based on Collective Subject Discourse. FIE 2023: 1-9 - [c37]Fernanda P. Mota, Míriam B. Born, Marilton S. de Aguiar, Diana Francisca Adamatti:
The Impact of a Water Resources Management RPG (Role-Playing Game) on the Players' Lives: An Analysis Based on Collective Subject Discourse. FIE 2023: 1-9 - [c36]Míriam Born, Marilton S. de Aguiar, Diana Francisca Adamatti:
Modeling organizational level of agents with moise+ to a natural resources management RPG. FLAIRS 2023 - [c35]Alejandro Pereira, Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Marcelo Ribeiro, Reza Ahmadi:
Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm. IJCNN 2023: 1-8 - [c34]Daniele Fernandes E. Silva, Rafael Piccin Torchelsen, Marilton Sanchotene de Aguiar:
How to improve the quality of GAN-based map generators. SBGames 2023: 106-113 - [c33]Gustavo Lameirão de Lima, Marilton Sanchotene de Aguiar:
Exploring Heterogeneous Open Multi-Agent Systems on Cloud Using a Docker-Based Architecture. SSCI 2023: 842-849 - 2022
- [j10]Miriam Pizzatto Colpo, Bruno Cascaes Alves, Kevin Soares Pereira, Anna Flávia Zimmermann Brandão, Marilton Sanchotene de Aguiar, Tiago Thompsen Primo:
Predicting COVID-19 hospitalizations with attribute selection based on genetic and classification algorithms. Braz. J. Inf. Syst. 15(1) (2022) - [j9]Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Bruno Belloni:
A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model. Sensors 22(17): 6441 (2022) - [c32]Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Marcelo Silva, Alejandro Pereira, Marcelo Ribeiro, Bruno Belloni:
A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy. CSCI 2022: 165-171 - 2021
- [c31]Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Bruno Belloni:
A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5. BIBM 2021: 3513-3520 - [c30]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE 2021: 1026-1031 - [c29]Carlos Santos, Marilton Sanchotene de Aguiar, Daniel Welfer, Bruno Belloni:
Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy. EMBC 2021: 2692-2695 - [c28]Carlos Santos, Marilton Sanchotene de Aguiar, Daniel Welfer, Bruno Belloni:
Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions. IJCNN 2021: 1-8 - [c27]Miriam Pizzatto Colpo, Bruno Cascaes Alves, Kevin Soares Pereira, Anna Flávia Zimmermann Brandão, Marilton Sanchotene de Aguiar, Tiago Thompsen Primo:
Attribute selection based on genetic and classification algorithms in the prediction of hospitalization need of COVID-19 patients. SBSI 2021: 2:1-2:8 - 2020
- [j8]Giovani Farias, Bruna Leitzke, Míriam Born, Marilton S. de Aguiar, Diana Francisca Adamatti:
Water Resources Analysis: An Approach based on Agent-Based Modeling. RITA 27(2): 81-95 (2020) - [c26]Fábio Aiub Sperotto, Marilton Sanchotene de Aguiar:
AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-agent Systems. BRACIS (2) 2020: 33-46 - [c25]Ramásio Ferreira de Melo, Gustavo Lameirão de Lima, Guilherme Ribeiro Corrêa, Bruno Zatt, Marilton Sanchotene de Aguiar, Gilmar Ribeiro Nachtigall, Ricardo Matsumura de Araújo:
Diagnosis of Apple Fruit Diseases in the Wild with Mask R-CNN. BRACIS 2020: 256-270 - [c24]Fernanda P. Mota, Míriam B. Born, Marilton S. de Aguiar, Diana Francisca Adamatti:
Mapping needs, motivations, habits and strategies of RPG players in the context of water resources management. FIE 2020: 1-8 - [c23]Ítalo D. Machado, Marilton S. de Aguiar, Marcelo Schiavon Porto, Guilherme Corrêa, Daniel Palomino, Bruno Zatt:
RDE-MOGA: Automatic Selection of Rate-Distortion-Energy Control Points for Video Encoders Using Muti-Objetive Genetic Algorithm. ICASSP 2020: 2208-2212 - [i1]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Jr., Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. CoRR abs/2012.02530 (2020)
2010 – 2019
- 2019
- [j7]Giovani Farias, Bruna Leitzke, Míriam Born, Marilton S. de Aguiar, Diana Francisca Adamatti:
Systematic Review of Natural Resource Management using Multiagent Systems and Role-Playing Games. Res. Comput. Sci. 148(11): 91-102 (2019) - [c22]Henrique Pereira Borges, Marilton Sanchotene de Aguiar:
Mineral Classification Using Machine Learning and Images of Microscopic Rock Thin Section. MICAI 2019: 63-76 - [c21]Fábio Aiub Sperotto, Mairon Belchior, Marilton Sanchotene de Aguiar:
Ontology-Based Legal System in Multi-agents Systems. MICAI 2019: 507-521 - [c20]Renata Zottis Junges, Mauricio Braga de Paula, Marilton Sanchotene de Aguiar:
Brazilian Traffic Signs Detection and Recognition in Videos Using CLAHE, HOG Feature Extraction and SVM Cascade Classifier with Temporal Coherence. MICAI 2019: 589-600 - [c19]Valter A. M. Martins, Lucas C. Freitas, Marilton S. de Aguiar, Lisane B. de Brisolara, Paulo R. Ferreira Jr.:
Deep Learning applied to the Identification of Fruit Fly in Intelligent Traps. SBESC 2019: 1-8 - 2018
- [j6]Maria Isabel Giusti Moreira, Marilton Sanchotene de Aguiar, Antônio Carlos da Rocha Costa, Verlani Timm Hinz:
A Legislation-Oriented VLE-MAS System Applied to MOODLE. Res. Comput. Sci. 147(4): 49-60 (2018) - [c18]Thainan B. Remboski, William D. de Souza, Marilton S. de Aguiar, Paulo R. Ferreira Jr.:
Identification of fruit fly in intelligent traps using techniques of digital image processing and machine learning. SAC 2018: 260-267 - 2017
- [c17]Maria Isabel Giusti Moreira, Antônio Carlos da Rocha Costa, Marilton Sanchotene de Aguiar:
A legislation-oriented VLE-MAS system applied to MOODLE. ITHET 2017: 1-8 - [c16]William Dalmorra de Souza, Thainan Bystronski Remboski, Marilton Sanchotene de Aguiar, Paulo Roberto Ferreira Jr.:
A Model for Pest Infestation Prediction in Crops Based on Local Meteorological Monitoring Stations. MICAI (Special Session) 2017: 39-45 - 2016
- [j5]Adriana Bordini, Christiano Martino Otero Avila, Yuri Weisshahn, Mônica Marques da Cunha, Simone André da Costa Cavalheiro, Luciana Foss, Marilton S. de Aguiar, Renata Hax Sander Reiser:
Computação na Educação Básica no Brasil: o Estado da Arte. RITA 23(2): 210-238 (2016) - 2015
- [j4]Carla S. G. Pires, Marilton S. de Aguiar, Paulo R. Ferreira Jr.:
Mobile ACORoute - Route Recommendation Based on Communication by Pheromones. Polibits 51: 27-32 (2015) - [c15]Marlon Dias, Geancarlo Maydana, Marilton S. de Aguiar:
An Extension of Fuzzy C-Means Applied to Spot Recognition in Images of Two-Dimensional Electrophoresis. MICAI (Special Sessions) 2015: 58-64 - [c14]Augusto G. Schmidt, Frederico Schmitt Kremer, Vinícius Steffens Pazzini, Michel S. Pedroso, Marilton S. de Aguiar:
An Architecture Proposal Based in Intelligent Algorithms for Motifs Discovery in Genetic Expressions. MICAI (2) 2015: 261-269 - 2014
- [j3]Carla S. G. Pires, Marilton S. de Aguiar, Paulo R. Ferreira Jr.:
Mobile ACORoute - Route Recommendation Based on Communication by Pheromones. Res. Comput. Sci. 86: 113-122 (2014) - [c13]Luís Felipe K. de Macedo, Graçaliz Pereira Dimuro, Marilton S. de Aguiar, Helder Coelho:
An Evolutionary Spatial Game-based Approach for the Self-regulation of Social Exchanges in MAS. ECAI 2014: 573-578 - 2013
- [c12]Taua M. Cabreira, Marilton S. de Aguiar, Graçaliz Pereira Dimuro:
An Extended Evolutionary Learning Approach For Multiple Robot Path Planning In A Multi-Agent Environment. IEEE Congress on Evolutionary Computation 2013: 3363-3370 - [c11]Taina Carvalho, Daiane Andrade, Jayne Silveira, Victor Auler, Simone André da Costa Cavalheiro, Marilton S. de Aguiar, Luciana Foss, Ana Marilza Pernas, Renata Reiser:
Discussing the Challenges Related to Deployment of Computational Thinking in Brazilian Basic Education. WEIT 2013: 111-115 - 2012
- [j2]Diana Francisca Adamatti, Marilton S. de Aguiar:
Computational Techniques to Manage Natural Resources. Int. J. Organ. Collect. Intell. 3(2): 117-137 (2012) - 2011
- [c10]Angelo G. da Luz, Eduardo A. C. da Costa, Marilton S. de Aguiar:
Exploring the use of heuristic-based algorithms for the ordering and partitioning of coefficients for power efficient fir filters realization. SBCCI 2011: 91-96 - [c9]Jorge Luis B. Ribes, Graçaliz Pereira Dimuro, Marilton Sanchotene de Aguiar:
On Vector and Matrices of Fuzzy Numbers. WEIT 2011: 39-45 - [c8]Luís Felipe K. de Macedo, Graçaliz Pereira Dimuro, Marilton Sanchotene de Aguiar:
Hybrid Intelligent Systems: A Study on Genetic Algorithms and Fuzzy Approaches. WEIT 2011: 138-144 - [c7]Murian dos Reis Ribeiro, Marilton Sanchotene de Aguiar:
Cultural Algorithms: A Study of Concepts and Approaches. WEIT 2011: 145-148 - 2010
- [c6]Angelo G. da Luz, Eduardo A. C. da Costa, Marilton S. de Aguiar:
Ordering and partitioning of coefficients based on heuristic algorithms for low power FIR filter realization. SBCCI 2010: 180-185
2000 – 2009
- 2009
- [c5]Márcio Castro, Luiz Gustavo Fernandes, Christiane Pousa Ribeiro, Jean-François Méhaut, Marilton Sanchotene de Aguiar:
NUMA-ICTM: A parallel version of ICTM exploiting memory placement strategies for NUMA machines. IPDPS 2009: 1-8 - 2006
- [c4]Rafael K. S. Silva, César A. F. De Rose, Marilton S. de Aguiar, Graçaliz Pereira Dimuro, Antônio Carlos da Rocha Costa:
HPC-ICTM: a Parallel Model for Geographic Categorization. John Vincent Atanasoff Symposium 2006: 143-148 - [c3]Rafael K. S. Silva, Marilton S. de Aguiar, César A. F. De Rose, Graçaliz Pereira Dimuro:
Extending the HPC-ICTM Geographical Categorization Model for Grid Computing. PARA 2006: 850-859 - 2004
- [j1]Marilton Sanchotene de Aguiar, Graçaliz Pereira Dimuro, Antônio Carlos da Rocha Costa:
ICTM: An Interval Tessellation-Based Model for Reliable Topographic Segmentation. Numer. Algorithms 37(1-4): 3-11 (2004) - [c2]Marilton S. de Aguiar, Graçaliz Pereira Dimuro, Antônio Carlos da Rocha Costa, Rafael K. S. Silva, Fábia A. da Costa, Vladik Kreinovich:
The Multi-layered Interval Categorizer Tesselation-based Model. GEOINFO 2004: 437-454 - [c1]Marilton S. de Aguiar, Graçaliz Pereira Dimuro, Fábia A. da Costa, Rafael K. S. Silva, César A. F. De Rose, Antônio Carlos da Rocha Costa, Vladik Kreinovich:
HPC-ICTM: The Interval Categorizer Tessellation-Based Model for High Performance Computing. PARA 2004: 83-92
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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