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ORCIDRicardo Matsumura de Araújo
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- affiliation: Federal University of Pelotas
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2020 – today
- 2024
[j8]Alexandre Thurow Bender, Gabriel Gomes, Émerson Lopes, Ricardo M. Araujo, Larissa A. de Freitas, Ulisses Brisolara Corrêa:
Overview of ABSAPT at IberLEF 2024: Overview of the Task on Aspect-Based Sentiment Analysis in Portuguese. Proces. del Leng. Natural 73: 315-322 (2024)- [j7]Alexandre Thurow Bender
, Emillyn Mellyne Gobetti Souza, Ihan Belmonte Bender, Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo:
Integrating Domain Knowledge in Multi-Source Classification Tasks. J. Interact. Syst. 15(1): 591-614 (2024) - [c34]Marcos Antonio De Oliveira, Flavio A. Varone, Clyde W. Fraisse, Ricardo Matsumura de Araújo, Gerson Geraldo H. Cavalheiro:
Clustering of meteorological data to improve agricultural decisions: a case study with SIMAGRO-RS. SBSI 2024: 17:1-17:10 - 2023
- [c33]Alexandre Thurow Bender, Emillyn Mellyne Gobetti Souza, Ihan Belmonte Bender, Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo:
Improving Multi-Domain Learning by Balancing Batches With Domain Information. WebMedia 2023: 96-103 - 2020
- [c32]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
2010 – 2019
- 2019
- [c31]Virginia Ortiz Andersson, Cristian Cechinel, Ricardo Matsumura de Araújo:
Combining Street-level and Aerial Images for Dengue Incidence Rate Estimation. IJCNN 2019: 1-8 - [c30]Matheus I. Hertzog, Ulisses Brisolara Corrêa, Ricardo M. Araujo:
SpreadOut: A Kernel Weight Initializer for Convolutional Neural Networks. IJCNN 2019: 1-7 - [c29]Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo:
AE-CharCNN: Char-Level Convolutional Neural Networks for Aspect-Based Sentiment Analysis. MICAI 2019: 124-135 - 2018
- [c28]Virginia Ortiz Andersson, Marco A. Ferreira Birck, Ricardo Matsumura de Araújo:
Towards Predicting Dengue Fever Rates Using Convolutional Neural Networks and Street-Level Images. IJCNN 2018: 1-8 - [c27]Pedro L. Ballester, Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo:
Lateral Representation Learning in Convolutional Neural Networks. IJCNN 2018: 1-8 - 2017
- [j6]Lucas G. Nachtigall, Ricardo Matsumura de Araújo, Gilmar R. Nachtigall:
Use of Images of Leaves and Fruits of Apple Trees for Automatic Identification of Symptoms of Diseases and Nutritional Disorders. Int. J. Monit. Surveillance Technol. Res. 5(2): 1-14 (2017) - [j5]Henrique Lemos dos Santos, Cristian Cechinel, Ricardo Matsumura de Araújo:
A comparison among approaches for recommending learning objects through collaborative filtering algorithms. Program 51(1): 35-51 (2017) - 2016
- [j4]Daniel Scain Farenzena, Luís da Cunha Lamb, Ricardo Matsumura de Araújo:
The cost of search and evaluation in online problem-solving social networks with financial and non-financial incentives. First Monday 21(8) (2016) - [j3]Douglas Detoni, Cristian Cechinel, Ricardo Matsumura de Araújo, Daniela Francisco Brauner:
Learning to Identify At-Risk Students in Distance Education Using Interaction Counts. RITA 23(2): 124-140 (2016) - [c26]Pedro L. Ballester, Ricardo Matsumura de Araújo:
On the Performance of GoogLeNet and AlexNet Applied to Sketches. AAAI 2016: 1124-1128 - [c25]Lucas G. Nachtigall, Ricardo M. Araujo, Gilmar R. Nachtigall:
Classification of Apple Tree Disorders Using Convolutional Neural Networks. ICTAI 2016: 472-476 - 2015
- [j2]Cristian Cechinel, Ricardo Matsumura de Araújo, Douglas Detoni:
Modelagem e Predição de Reprovação de Acadêmicos de Cursos de Educação a Distância a partir da Contagem de Interações. Revista Brasileira de Informática na Educ. 23(3): 1-11 (2015) - [c24]Virginia Ortiz Andersson, Ricardo Matsumura de Araújo:
Person Identification Using Anthropometric and Gait Data from Kinect Sensor. AAAI 2015: 425-431 - [c23]Virginia Ortiz Andersson, Livia S. Amaral, Aline R. Tonini, Ricardo M. Araujo:
Gender and Body Mass Index Classification Using a Microsoft Kinect Sensor. FLAIRS 2015: 103-106 - [c22]Diego Vrague Noble, Felipe Grando, Ricardo Matsumura de Araújo, Luís da Cunha Lamb:
The Impact of Centrality on Individual and Collective Performance in Social Problem-Solving Systems. GECCO 2015: 73-80 - [c21]Henrique Lemos dos Santos, Cristian Cechinel, Ricardo Matsumura de Araújo, Miguel-Ángel Sicilia:
Clustering Learning Objects for Improving Their Recommendation via Collaborative Filtering Algorithms. MTSR 2015: 183-194 - 2014
- [c20]Virginia O. Andersson, Ricardo M. Araujo:
Full Body Person Identification Using the Kinect Sensor. ICTAI 2014: 627-633 - [c19]Virginia O. Andersson, Rafael Dutra, Ricardo Matsumura de Araújo:
Anthropometric and human gait identification using skeleton data from Kinect sensor. SAC 2014: 60-61 - 2013
- [c18]Diego Noble, Luís C. Lamb, Ricardo M. Araujo:
Investigating a Socially Inspired Heterogeneous System of Problem Solving Agents. AINA 2013: 421-428 - [c17]Ricardo Matsumura de Araújo:
99designs: An Analysis of Creative Competition in Crowdsourced Design. HCOMP 2013: 17-24 - [c16]Ricardo M. Araujo, Gustavo Graña, Virginia O. Andersson:
Towards skeleton biometric identification using the microsoft kinect sensor. SAC 2013: 21-26 - [c15]Vinícius Steffens Pazzini, Tiago Schenkel, Mikael Poetsch, Ricardo Matsumura de Araújo:
Classificação de Prioridade de Tweets utilizando Máquinas de Vetor de Suporte (Tweet Priority Classification Using Support Vector Machines) [in Portuguese]. STIL 2013 - 2012
- [c14]Diego Noble, Luís C. Lamb, Ricardo Matsumura de Araújo:
Modeling Adaptative Social Behavior in Collective Problem Solving Algorithms. SASO 2012: 205-210 - 2011
- [c13]Daniel S. Farenzena, Ricardo M. Araujo, Luís C. Lamb:
Towards Social Problem-Solving with Human Subjects. IJCAI 2011: 2798-2799 - [c12]Diego Noble, Marcelo Schiavon Porto, Luciano Volcan Agostini, Ricardo Matsumura de Araújo, Luís C. Lamb:
Two Novel Algorithms for High Quality Motion Estimation in High Definition Video Sequences. SIBGRAPI 2011: 197-204 - [c11]Daniel S. Farenzena, Ricardo M. Araujo, Luís C. Lamb:
Collaboration Emergence in Social Networks with Informational Natural Selection. SocialCom/PASSAT 2011: 555-559 - 2010
- [b1]Ricardo Matsumura de Araújo:
Memetic networks: problem-solving with social network models. Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 2010 - [c10]Daniel S. Farenzena, Luís C. Lamb, Ricardo M. Araujo:
Combining Human Reasoning and Machine Computation: Towards a Memetic Network Solution to Satisfiability. AAAI 2010: 1929-1930 - [c9]Xiao Wei, Jiang Yang, Lada A. Adamic, Ricardo Matsumura de Araújo, Manu Rekhi:
Diffusion Dynamics of Games on Online Social Networks. WOSN 2010
2000 – 2009
- 2009
- [j1]Ricardo Matsumura de Araújo, Luís C. Lamb:
On the use of memory and resources in minority games. ACM Trans. Auton. Adapt. Syst. 4(2): 11:1-11:23 (2009) - 2008
- [c8]Ricardo M. Araujo, Luís C. Lamb:
Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance. AAAI 2008: 3-8 - [c7]Ricardo M. Araujo, Luís C. Lamb:
On the Role of Structured Information Exchange in Supervised Learning. ECAI 2008: 887-888 - [c6]Ricardo M. Araujo, Luís C. Lamb:
Distributed problem solving by memetic networks: extended abstract. GECCO 2008: 599-600 - [c5]Ricardo M. Araujo, Luís C. Lamb:
On the Effects of Network Structure in Population-Based Optimization. ICTAI (1) 2008: 268-271 - 2007
- [c4]Ricardo M. Araujo, Luís C. Lamb:
An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism. IJCAI 2007: 212-217 - 2005
- [c3]Ricardo Matsumura de Araújo, Luís C. Lamb:
On the Evolution of Memory Size in the Minority Game (extended abstract). IJCAI 2005: 1651-1652 - 2004
- [c2]Ricardo Matsumura de Araújo, Luís C. Lamb:
Neural-Evolutionary Learning in a Bounded Rationality Scenario. ICONIP 2004: 996-1001 - [c1]Ricardo Matsumura de Araújo, Luís C. Lamb:
Towards Understanding the Role of Learning Models in the Dynamics of the Minority Game. ICTAI 2004: 727-731
Coauthor Index
aka: Luís da Cunha Lamb
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