Ricardo Matsumura de Araújo

According to our database, Ricardo Matsumura de Araújo authored at least 40 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improving Multi-Domain Learning by Balancing Batches With Domain Information.

Alexandre Thurow Bender, Emillyn Mellyne Gobetti Souza, Ihan Belmonte Bender, Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

2020

Diagnosis of Apple Fruit Diseases in the Wild with Mask R-CNN.

Ramásio Ferreira de Melo, Gustavo Lameirão de Lima, Guilherme Ribeiro Corrêa, Bruno Zatt, Marilton Sanchotene de Aguiar, Gilmar Ribeiro Nachtigall, Ricardo Matsumura de Araújo

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

AE-CharCNN: Char-Level Convolutional Neural Networks for Aspect-Based Sentiment Analysis.

Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo

Proceedings of the Advances in Soft Computing, 2019

SpreadOut: A Kernel Weight Initializer for Convolutional Neural Networks.

Matheus I. Hertzog, Ulisses Brisolara Corrêa, Ricardo M. Araujo

Proceedings of the International Joint Conference on Neural Networks, 2019

Combining Street-level and Aerial Images for Dengue Incidence Rate Estimation.

Virginia Ortiz Andersson, Cristian Cechinel, Ricardo Matsumura de Araújo

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Lateral Representation Learning in Convolutional Neural Networks.

Pedro L. Ballester, Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Towards Predicting Dengue Fever Rates Using Convolutional Neural Networks and Street-Level Images.

Virginia Ortiz Andersson, Marco A. Ferreira Birck, Ricardo Matsumura de Araújo

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

A comparison among approaches for recommending learning objects through collaborative filtering algorithms.

Henrique Lemos dos Santos, Cristian Cechinel, Ricardo Matsumura de Araújo

Program, 2017

Use of Images of Leaves and Fruits of Apple Trees for Automatic Identification of Symptoms of Diseases and Nutritional Disorders.

Lucas G. Nachtigall, Ricardo Matsumura de Araújo, Gilmar R. Nachtigall

Int. J. Monit. Surveillance Technol. Res., 2017

2016

Learning to Identify At-Risk Students in Distance Education Using Interaction Counts.

Douglas Detoni, Cristian Cechinel, Ricardo Matsumura de Araújo, Daniela Francisco Brauner

RITA, 2016

The cost of search and evaluation in online problem-solving social networks with financial and non-financial incentives.

Daniel Scain Farenzena, Luís da Cunha Lamb, Ricardo Matsumura de Araújo

First Monday, 2016

Classification of Apple Tree Disorders Using Convolutional Neural Networks.

Lucas G. Nachtigall, Ricardo M. Araujo, Gilmar R. Nachtigall

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

On the Performance of GoogLeNet and AlexNet Applied to Sketches.

Pedro L. Ballester, Ricardo Matsumura de Araújo

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Modelagem e Predição de Reprovação de Acadêmicos de Cursos de Educação a Distância a partir da Contagem de Interações.

Cristian Cechinel, Ricardo Matsumura de Araújo, Douglas Detoni

Revista Brasileira de Informática na Educ., 2015

Clustering Learning Objects for Improving Their Recommendation via Collaborative Filtering Algorithms.

Henrique Lemos dos Santos, Cristian Cechinel, Ricardo Matsumura de Araújo, Miguel-Ángel Sicilia

Proceedings of the Metadata and Semantics Research - 9th Research Conference, 2015

The Impact of Centrality on Individual and Collective Performance in Social Problem-Solving Systems.

Diego Vrague Noble, Felipe Grando, Ricardo Matsumura de Araújo, Luís da Cunha Lamb

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Gender and Body Mass Index Classification Using a Microsoft Kinect Sensor.

Virginia Ortiz Andersson, Livia S. Amaral, Aline R. Tonini, Ricardo M. Araujo

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Person Identification Using Anthropometric and Gait Data from Kinect Sensor.

Virginia Ortiz Andersson, Ricardo Matsumura de Araújo

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Anthropometric and human gait identification using skeleton data from Kinect sensor.

Virginia O. Andersson, Rafael Dutra, Ricardo Matsumura de Araújo

Proceedings of the Symposium on Applied Computing, 2014

Full Body Person Identification Using the Kinect Sensor.

Virginia O. Andersson, Ricardo M. Araujo

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2013

Classificação de Prioridade de Tweets utilizando Máquinas de Vetor de Suporte (Tweet Priority Classification Using Support Vector Machines) [in Portuguese].

Vinícius Steffens Pazzini, Tiago Schenkel, Mikael Poetsch, Ricardo Matsumura de Araújo

Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology, 2013

Towards skeleton biometric identification using the microsoft kinect sensor.

Ricardo M. Araujo, Gustavo Graña, Virginia O. Andersson

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

99designs: An Analysis of Creative Competition in Crowdsourced Design.

Ricardo Matsumura de Araújo

Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Investigating a Socially Inspired Heterogeneous System of Problem Solving Agents.

Diego Noble, Luís C. Lamb, Ricardo M. Araujo

Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013

2012

Modeling Adaptative Social Behavior in Collective Problem Solving Algorithms.

Diego Noble, Luís C. Lamb, Ricardo Matsumura de Araújo

Proceedings of the Sixth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2012

2011

Collaboration Emergence in Social Networks with Informational Natural Selection.

Daniel S. Farenzena, Ricardo M. Araujo, Luís C. Lamb

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Two Novel Algorithms for High Quality Motion Estimation in High Definition Video Sequences.

Diego Noble, Marcelo Schiavon Porto, Luciano Volcan Agostini, Ricardo Matsumura de Araújo, Luís C. Lamb

Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

Towards Social Problem-Solving with Human Subjects.

Daniel S. Farenzena, Ricardo M. Araujo, Luís C. Lamb

Proceedings of the IJCAI 2011, 2011

2010

Memetic networks: problem-solving with social network models.

Ricardo Matsumura de Araújo

PhD thesis, 2010

Diffusion Dynamics of Games on Online Social Networks.

Xiao Wei, Jiang Yang, Lada A. Adamic, Ricardo Matsumura de Araújo, Manu Rekhi

Proceedings of the 3rd Workshop on Online Social Networks, 2010

Combining Human Reasoning and Machine Computation: Towards a Memetic Network Solution to Satisfiability.

Daniel S. Farenzena, Luís C. Lamb, Ricardo M. Araujo

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

On the use of memory and resources in minority games.

Ricardo Matsumura de Araújo, Luís C. Lamb

ACM Trans. Auton. Adapt. Syst., 2009

2008

On the Effects of Network Structure in Population-Based Optimization.

Ricardo M. Araujo, Luís C. Lamb

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Distributed problem solving by memetic networks: extended abstract.

Ricardo M. Araujo, Luís C. Lamb

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

On the Role of Structured Information Exchange in Supervised Learning.

Ricardo M. Araujo, Luís C. Lamb

Proceedings of the ECAI 2008, 2008

Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance.

Ricardo M. Araujo, Luís C. Lamb

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism.

Ricardo M. Araujo, Luís C. Lamb

Proceedings of the IJCAI 2007, 2007

2005

On the Evolution of Memory Size in the Minority Game (extended abstract).

Ricardo Matsumura de Araújo, Luís C. Lamb

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004

Towards Understanding the Role of Learning Models in the Dynamics of the Minority Game.

Ricardo Matsumura de Araújo, Luís C. Lamb

Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Neural-Evolutionary Learning in a Bounded Rationality Scenario.

Ricardo Matsumura de Araújo, Luís C. Lamb

Proceedings of the Neural Information Processing, 11th International Conference, 2004