Neural-Evolutionary Learning in a Bounded Rationality Scenario. - Ricardo Matsumura de Araújo; Luís C. Lamb (ICONIP, 2004)

Towards Understanding the Role of Learning Models in the Dynamics of the Minority Game. - Ricardo Matsumura de Araújo; Luís C. Lamb (ICTAI, 2004)

On the Evolution of Memory Size in the Minority Game (extended abstract). - Ricardo Matsumura de Araújo; Luís C. Lamb (IJCAI, 2005)

An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism. - Ricardo M. Araújo; Luís C. Lamb (IJCAI, 2007)

Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance. - Ricardo M. Araújo; Luís C. Lamb (AAAI, 2008)

On the Role of Structured Information Exchange in Supervised Learning. - Ricardo M. Araújo; Luís C. Lamb (ECAI, 2008)

Distributed problem solving by memetic networks: extended abstract. - Ricardo M. Araújo; Luís C. Lamb (GECCO, 2008)

On the Effects of Network Structure in Population-Based Optimization. - Ricardo M. Araújo; Luís C. Lamb (ICTAI (1), 2008)

On the use of memory and resources in minority games. - Ricardo Matsumura de Araújo; Luís C. Lamb (ACM Trans. Auton. Adapt. Syst., 2009)

Combining Human Reasoning and Machine Computation: Towards a Memetic Network Solution to Satisfiability. - Daniel S. Farenzena; Luís C. Lamb; Ricardo M. Araújo (AAAI, 2010)

Diffusion Dynamics of Games on Online Social Networks. - Xiao Wei; Jiang Yang; Lada A. Adamic; Ricardo Matsumura de Araújo; Manu Rekhi (WOSN, 2010)

Memetic networks: problem-solving with social network models. - Ricardo Matsumura de Araújo (2010)

Towards Social Problem-Solving with Human Subjects. - Daniel S. Farenzena; Ricardo M. Araújo; Luís C. Lamb (IJCAI, 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 (SIBGRAPI, 2011)

Collaboration Emergence in Social Networks with Informational Natural Selection. - Daniel S. Farenzena; Ricardo M. Araújo; Luís C. Lamb (SocialCom/PASSAT, 2011)

Modeling Adaptative Social Behavior in Collective Problem Solving Algorithms. - Diego Noble; Luís C. Lamb; Ricardo Matsumura de Araújo (SASO, 2012)

Investigating a Socially Inspired Heterogeneous System of Problem Solving Agents. - Diego Noble; Luís C. Lamb; Ricardo M. Araújo (AINA, 2013)

99designs: An Analysis of Creative Competition in Crowdsourced Design. - Ricardo Matsumura de Araújo (HCOMP, 2013)

Towards skeleton biometric identification using the microsoft kinect sensor. - Ricardo M. Araújo; Gustavo Graña; Virginia O. Andersson (SAC, 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 (STIL, 2013)

Full Body Person Identification Using the Kinect Sensor. - Virginia O. Andersson; Ricardo M. Araújo (ICTAI, 2014)

Anthropometric and human gait identification using skeleton data from Kinect sensor. - Virginia O. Andersson; Rafael Dutra; Ricardo Matsumura de Araújo (SAC, 2014)

Person Identification Using Anthropometric and Gait Data from Kinect Sensor. - Virginia Ortiz Andersson; Ricardo Matsumura de Araújo (AAAI, 2015)

Gender and Body Mass Index Classification Using a Microsoft Kinect Sensor. - Virginia Ortiz Andersson; Livia S. Amaral; Aline R. Tonini; Ricardo M. Araújo (FLAIRS, 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 (GECCO, 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 (MTSR, 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)

On the Performance of GoogLeNet and AlexNet Applied to Sketches. - Pedro L. Ballester; Ricardo Matsumura de Araújo (AAAI, 2016)

Classification of Apple Tree Disorders Using Convolutional Neural Networks. - Lucas G. Nachtigall; Ricardo M. Araújo; Gilmar R. Nachtigall (ICTAI, 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)

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)

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)

A comparison among approaches for recommending learning objects through collaborative filtering algorithms. - Henrique Lemos dos Santos; Cristian Cechinel; Ricardo Matsumura de Araújo (Program, 2017)

Towards Predicting Dengue Fever Rates Using Convolutional Neural Networks and Street-Level Images. - Virginia Ortiz Andersson; Marco A. Ferreira Birck; Ricardo Matsumura de Araújo (IJCNN, 2018)

Lateral Representation Learning in Convolutional Neural Networks. - Pedro L. Ballester; Ulisses Brisolara Corrêa; Ricardo Matsumura de Araújo (IJCNN, 2018)

Combining Street-level and Aerial Images for Dengue Incidence Rate Estimation. - Virginia Ortiz Andersson; Cristian Cechinel; Ricardo Matsumura de Araújo (IJCNN, 2019)

SpreadOut: A Kernel Weight Initializer for Convolutional Neural Networks. - Matheus I. Hertzog; Ulisses Brisolara Corrêa; Ricardo M. Araújo (IJCNN, 2019)

AE-CharCNN: Char-Level Convolutional Neural Networks for Aspect-Based Sentiment Analysis. - Ulisses Brisolara Corrêa; Ricardo Matsumura de Araújo (MICAI, 2019)

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 (BRACIS, 2020)

ABSAPT 2022 at IberLEF: Overview of the Task on Aspect-Based Sentiment Analysis in Portuguese. - Felix L. V. da Silva; Guilherme da S. Xavier; Heliks M. Mensenburg; Rodrigo F. Rodrigues; Leonardo P. dos Santos; Ricardo M. Araújo; Ulisses Brisolara Corrêa; Larissa A. de Freitas (Proces. del Leng. Natural, 2022)

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 (WebMedia, 2023)

Clustering of meteorological data to improve agricultural decisions: a case study with SIMAGRO-RS. - Marcos Antonio de Oliveira Junior; Flavio A. Varone; Clyde W. Fraisse; Ricardo Matsumura de Araújo; Gerson Geraldo H. Cavalheiro (SBSI, 2024)

Overview of ABSAPT at IberLEF 2024: Overview of the Task on Aspect-Based Sentiment Analysis in Portuguese. - Alexandre Thurow Bender; Gabriel Almeida Gomes; Émerson Lopes; Ricardo M. Araújo; Larissa A. de Freitas; Ulisses Brisolara Corrêa (Proces. del Leng. Natural, 2024)

Integrating Domain Knowledge in Multi-Source Classification Tasks. - Alexandre Thurow Bender; Emillyn Mellyne Gobetti Souza; Ihan Belmonte Bender; Ulisses Brisolara Corrêa; Ricardo Matsumura de Araújo (J. Interact. Syst., 2024)

Next Sentence Prediction with BERT as a Dynamic Chunking Mechanism for Retrieval-Augmented Generation Systems. - Alexandre Thurow Bender; Gabriel Almeida Gomes; Ulisses Brisolara Corrêa; Ricardo Matsumura de Araújo (FLAIRS, 2025)