publications | Fábio M. F. Lobato

2024

EvoImp: Multiple Imputation of Multi-label Classification data with a genetic algorithm

Antonio Fernando Lavareda Jacob Junior, Fabricio Almeida Carmo, Adamo Lima Santana, Ewaldo Eder Carvalho Santana, and Fabio Manoel Franca Lobato

Plos one, 2024

2023

SCIENSH: Sistema de apoio à gestão de pesquisa e inovação baseado em cientometria

Adrielson Ferreira Justino, Fabiano Paulo Nhoatto, Efren Lopes Souza, and Fábio Lobato

iSys-Brazilian Journal of Information Systems, 2023
Panorama do mercado no Social CRM: uma análise dos anuncios de emprego

Pedro C Menezes, Adrielson F Justino, Barbara AP Barata, Marcelino S Silva, Antonio FL Jacob Junior, and Fábio MF Lobato

In Anais da III Escola Regional de Alto Desempenho Norte 2 e III Escola Regional de Aprendizado de Máquina e Inteligência Artificial Norte 2, 2023
Market Overview in Social CRM: An analysis of job advertisements

Pedro C Menezes, Adrielson F Justino, Barbara AP Barata, Antonio FL Jacob Junior, and Fábio MF Lobato

In 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023
Comparativo de Modelagem de Tópicos: um estudo de caso de relatos de publicações predatórias

Fernando A Carmo, Marcelino S Silva, Antonio FL Jacob Junior, and Fábio MF Lobato

In Anais da III Escola Regional de Alto Desempenho Norte 2 e III Escola Regional de Aprendizado de Máquina e Inteligência Artificial Norte 2, 2023
Preprocessing Applied to Legal Text Mining: analysis and evaluation of the main techniques used

Marcos VJ Silva, Ewaldo E Santana, Fábio MF Lobato, and Antonio FL Jacob Jr

In Anais do XX Encontro Nacional de Inteligência Artificial e Computacional, 2023
What about data science? An analysis of the market based on Job posts

Barbara AP Barata, Adrielson F Justino, Antonio FL Jacob Junior, and Fábio MF Lobato

In Anais do XX Encontro Nacional de Inteligência Artificial e Computacional, 2023
Natural Language Processing and Social Media: a systematic mapping on Brazilian leading events

Gabriele de S Araújo, Jéssica Brenda P Leite, Marcelino S Silva, Antonio FL Jacob Junior, and Fábio MF Lobato

In Anais do XX Encontro Nacional de Inteligência Artificial e Computacional, 2023
Embeddings Jurı́dico: Representações Orientadas à Linguagem Jurı́dica Brasileira

Fabrı́cio A Carmo, Ferdinando Serejo, Antonio FL Jacob Junior, Ewaldo EC Santana, and Fábio MF Lobato

In Anais do XI Workshop de Computação Aplicada em Governo Eletrônico, 2023
Análise, otimização e acompanhamento de um serviço de psicologia universitário: uma abordagem baseada em ciência de dados

Fabio Lobato, Milena Poça, and Viviane Canto

Revista da CGU, 2023
Text representations for lyric-based identification of musical subgenres

Fabrı́cio Almeida Carmo, Jorge Luiz Figueira Silva Junior, Rafael Geraldeli Rossi, and Fábio Manoel França Lobato

IEEE Latin America Transactions, 2023
A CARS of Novels with Imbalanced Sample Treatment

Lucas Faccio, Carla Marcolin, and Fábio Lobato

Anais do Computer on the Beach, 2023
Aplicação de técnicas de aprendizagem de máquina com seleção de variáveis na previsão de receitas públicas de 8 capitais

Cláudia Patrı́cia S Pimentel, Fábio Lobato, and Antonio Jacob Jr

Anais do Computer on the Beach, 2023
Análise Comparativa de Plataformas de Mı́dias Sociais Turı́sticas: um Estudo de Caso de Booking e TripAdvisor para o Municı́pio de Santarém, Pará

Marlisson Jean Amaral Aleixo, Gabriele Sousa Araujo, Fernando Almeida Carmo, Antonio Fernando Lavareda Jacob Junior, and Fábio Manoel França Lobato

Anais do Computer on the Beach, 2023

2022

Handling out of vocabulary words at the semantical level using recurrent neural networks

Paula ML Pedroso, Fábio MF Lobato, Eveline JV Sá, and Antonio FL Jacob

In 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2022
Technology transfer in e-communication for small and medium enterprises as promoters of innovation and competitiveness

Alessandra Batista, Ana Carolina Cutrim Bessa, Antonio Fernando L Jacob Junior, and Fábio Manoel França Lobato

In 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2022
DeepHP: A New Gastric Mucosa Histopathology Dataset for Helicobacter pylori Infection Diagnosis

Wanderson Gonçalves Gonçalves, Marcelo Henrique Paula Santos, Leonardo Miranda Brito, Helber Gonzales Almeida Palheta, Fábio Manoel França Lobato, Samia Demachki, Ândrea Ribeiro-dos-Santos, and Gilderlanio Santana Araújo

International Journal of Molecular Sciences, Nov 2022

Abs

Emerging deep learning-based applications in precision medicine include computational histopathological analysis. However, there is a lack of the required training image datasets to generate classification and detection models. This phenomenon occurs mainly due to human factors that make it difficult to obtain well-annotated data. The present study provides a curated public collection of histopathological images (DeepHP) and a convolutional neural network model for diagnosing gastritis. Images from gastric biopsy histopathological exams were used to investigate the performance of the proposed model in detecting gastric mucosa with Helicobacter pylori infection. The DeepHP database comprises 394,926 histopathological images, of which 111 K were labeled as Helicobacter pylori positive and 283 K were Helicobacter pylori negative. We investigated the classification performance of three Convolutional Neural Network architectures. The models were tested and validated with two distinct image sets of 15% (59K patches) chosen randomly. The VGG16 architecture showed the best results with an Area Under the Curve of 0.998%. The results showed that CNN could be used to classify histopathological images from gastric mucosa with marked precision. Our model evidenced high potential and application in the computational pathology field.
Gaining Insights on Student Satisfaction by Applying Social CRM Techniques for Higher Education Institutions

Gustavo Nogueira Sousa, Fabio Lobato, Julio Viana, and Olaf Reinhold

In Business Information Systems Workshops: BIS 2021 International Workshops, Virtual Event, June 14–17, 2021, Revised Selected Papers, Nov 2022
Social CRM as a Business Strategy: Developing the Dynamic Capabilities of Micro and Small Businesses

Isabelle Silva Guimarães, Gustavo Nogueira Sousa, Antonio Jacob Junior, and Fábio Manoel França Lobato

In Business Information Systems Workshops: BIS 2021 International Workshops, Virtual Event, June 14–17, 2021, Revised Selected Papers, Nov 2022
Evoluindo Redes Neurais Convolucionais na Detecção de Emoções Usando Micro AGs

Diogenes Ademir Domingos, Omar Andres Carmona Cortes, and Fábio Manoel França Lobato

Anais do Computer on the Beach, Nov 2022
Classificaçao Automática de Petiçoes Iniciais Usando Classificadores Combinados

Matheus Serrao Marinato, Antonio FL Jacob Junior, Fábio MF Lobato, and Omar AC Cortes

In Anais do XVI Brazilian e-Science Workshop, Nov 2022
Feminismo e Redes Sociais Online: uma Análise de Tweets sobre o Dia Internacional da Mulher

Geandreson de S Costa, Danielle CC Couto, Antonio FL Jacob Junior, and Fábio MF Lobato

In Anais do XI Brazilian Workshop on Social Network Analysis and Mining, Nov 2022
Pandemia de COVID-19 no Brasil: uma análise sobre notícias e comentários de usuários

Lucas Rodrigues, Ana Prado, and Fábio Manoel França Lobato

Culturas Midiáticas, Jun 2022

2021

Análise de discursos em notı́cias sobre homofobia, racismo e sexismo em comentários de portais brasileiros de notı́cias

Lucas Rodrigues, Antonio Jacob Junior, and Fábio Lobato

Anais do Computer on the Beach, Jun 2021
Desenvolvimento de um conjunto de dados com comentários extraı́dos da plataforma Twitch sobre o jogo League of Legends

Lucas DF Rodrigues, Luiz CCL Junior, Antonio FL Jacob Junior, and Fábio MF Lobato

In Anais do X Brazilian Workshop on Social Network Analysis and Mining, Jun 2021
BraSNAM em perspectiva: uma análise da sua trajetória até os 10 anos de existência

Fábio MF Lobato, Gleyce C Sousa, and Antonio FL Jacob Jr

In Anais do X Brazilian Workshop on Social Network Analysis and Mining, Jun 2021
PROSPECÇÃO DE FERRAMENTAS PARA GESTÃO DE PESQUISA E DESENVOLVIMENTO EM INSTITUIÇÕES DE CIÊNCIA E TECNOLOGIA

Fabiano Nhoatto, Adrielson Justino, Efren Lopes Souza, and Fábio Manoel França Lobato

Revista E-Tech: Tecnologias para Competitividade Industrial-ISSN-1983-1838, Jun 2021

2020

Social CRM Tools: A Systematic Mapping Study

Jorge LF Silva Junior, Julio Viana, Olaf Reinhold, Antônio FL Jacob Jr, Rainer Alt, and Fábio MF Lobato

In Business Information Systems Workshops: BIS 2020 International Workshops, Colorado Springs, CO, USA, June 8–10, 2020, Revised Selected Papers, Jun 2020
Social CRM: a literature review based on keywords network analysis

Fábio MF Lobato, Jorge LF Silva Junior, Antônio Jacob Jr., and Diego Lisboa Cardoso

In Business Information Systems Workshops: BIS 2020 International Workshops, Colorado Springs, CO, USA, June 8–10, 2020, Revised Selected Papers 23, Jun 2020
Ferramentas para análise de mı́dias sociais: Um levantamento sistemático

Emanuel Gilvan Souza Lima Júnior, Gustavo Nogueira Sousa, Antonio Fernando Lavareda Jacob Junior, and Fábio Manoel França Lobato

Anais do Computer on the Beach, Jun 2020
Analisando Tweets Relacionados a Deficiências: uma Abordagem Baseada em Classificação

Ademir Baségio Junior, Lucas Darlindo Freitas Rodrigues, Antonio Fernando Lavareda Jacob Junior, and Fábio Manoel França Lobato

Anais do Computer on the Beach, Jun 2020
Fontes de dados gerados por usuários: quais plataformas considerar?

Gustavo RT Almeida, Isabelle Guimaraes, Antonio FL Jacob Jr, and Fábio MF Lobato

In Anais do IX Brazilian Workshop on Social Network Analysis and Mining, Jun 2020
Análise comparativa das principais plataformas de reclamaç oes online: implicaç oes para análise de mıdia social em negócios

Gustavo Nogueira Sousa, Isabelle Guimaraes, Antonio FL Jacob Jr, Fábio MF Lobato, Sao Luıs–Maranhao–Brasil, and Oeste do Pará UFOPA– Santarém–PA–Brasil

In Anais do IX Brazilian Workshop on Social Network Analysis and Mining, Jun 2020
An extensive analysis of online restaurant reviews: a case study of the Amazonian Culinary Tourism

Luiz Carlos Fernandes, Jorge Silva, Antonio Jacob, and Fábio Lobato

In 2020 15th Conference on Computer Science and Information Systems (FedCSIS), Jun 2020
Um olhar sobre turismo gastronômico: Um caso no TripAdvisor

Luiz F Junior, Jorge Silva Junior, and Fábio Lobato

In Anais do XVII Encontro Nacional de Inteligência Artificial e Computacional, Jun 2020
Explainable sentiment analysis application for social media crisis management in retail

Douglas Cirqueira, Fernando Almeida, Gültekin Cakir, Antonio Jacob, Fabio Lobato, Marija Bezbradica, and Markus Helfert

Jun 2020
Notícias relacionadas a pessoas com deficiência: uma análise do conteúdo gerado pelos usuários em postagens de mídias sociais

Lucas Rodrigues, Ademir Junior, and Fabio Lobato

In Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019), Jan 2020
A literature review of the current applications of machine learning and their practical implications

Beatriz N R Chagas, Julio Viana, Olaf Reinhold, Fábio M F Lobato, Antonio F L Jacob, and Rainer Alt

Web Intelligence, Jan 2020
Deep learning in gastric tissue diseases: a systematic review

Wanderson Gonçalves e Gonçalves, Marcelo Henrique de Paula Santos, Fábio Manoel França Lobato, Ândrea Ribeiro-dos-Santos, and Gilderlanio Santana Araújo

BMJ Open Gastroenterology, Mar 2020

Abs

Background In recent years, deep learning has gained remarkable attention in medical image analysis due to its capacity to provide results comparable to specialists and, in some cases, surpass them. Despite the emergence of deep learning research on gastric tissues diseases, few intensive reviews are addressing this topic. Method We performed a systematic review related to applications of deep learning in gastric tissue disease analysis by digital histology, endoscopy and radiology images. Conclusions This review highlighted the high potential and shortcomings in deep learning research studies applied to gastric cancer, ulcer, gastritis and non-malignant diseases. Our results demonstrate the effectiveness of gastric tissue analysis by deep learning applications. Moreover, we also identified gaps of evaluation metrics, and image collection availability, therefore, impacting experimental reproducibility.
Análise do setor de telecomunicação brasileiro: Uma visão sobre Reclamações

Gustavo Nogueira Sousa, Isabelle Silva Guimarães, Julio Augusto Nogueira Viana, Olaf Reinhold, Antonio Fernando Lavareda Junior, and Fábio Manoel França Lobato

Revista Ibérica de Sistemas e Tecnologias de Informação, Mar 2020
UMA SOLUÇÃO EM FUSÃO DE INFORMAÇÃO PARA GERENCIAMENTO DE RECLAMAÇÕES FEITAS NA WEB

E JÚNIOR, R MAIA, Fábio Lobato, and Antonio Jacob Junior

Revista SODEBRAS, Jun 2020
Relação entre aplicativos geossociais e infecções sexualmente transmissíveis

Adrielson Ferreira Justino, Luciana Fernandes Pastana Ramos, Éfren Lopes Souza, and Fabio Manoel França Lobato

Journal of Health Informatics, Jun 2020
Uma abordagem baseada em letras para a descoberta de conhecimento da música brasileira: o sertanejo como um estudo de caso

Jorge Junior, Rafael Rossi, and Fabio Lobato

In Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019), Jan 2020

2019

Social network advertising classification based on content categories

Gustavo Nogueira Sousa, Gustavo R Almeida, and Fábio Lobato

In Business Information Systems Workshops: BIS 2019 International Workshops, Seville, Spain, June 26–28, 2019, Revised Papers 22, Jan 2019
Uma abordagem baseada em letras para a descoberta de conhecimento da música brasileira: o sertanejo como um estudo de caso

Jorge Silva Junior, Rafael Rossi, and Fabio Lobato

In Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional, Jan 2019
Notı́cias relacionadas a pessoas com deficiência: uma análise do conteúdo gerado pelos usuários em postagens de mı́dias sociais

Lucas Rodrigues, Ademir B Junior, and Fabio Lobato

In Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional, Jan 2019
Proposta de um Dispositivo Nao Invasivo para Monitoramento do Ambiente do Sono

Vitor S Campos, Roberto P Nascimento, Josué AS Oliveira, Fábio MF Lobato, Josivan R Reis, Antonio FL Jacob Junior, and Marcelino S Silva

In Anais Estendidos do XIX Simpósio Brasileiro de Computação Aplicada à Saúde, Jan 2019
Dispositivo não invasivo para monitoramento do ambiente do sono

Josué AS Oliveira, Vitor S Campos, Josivan R Reis, Fábio MF Lobato, and Roberto P Nascimento

In Anais do XIX Simpósio Brasileiro de Computação Aplicada à Saúde, Jan 2019
A culpa é dela! E isso o que dizem nos comentários das notıcias sobre a tentativa de feminicıdio de Elaine Caparroz

Lucas DF Rodrigues, Jorge LF Silva Junior, and Fábio MF Lobato

In Anais do VIII Brazilian Workshop on Social Network Analysis and Mining, Jan 2019
Reconhecimento de plantas comestıveis não convencionais: uma análise de métodos de classificação aplicados à visão computacional

Gustavo Almeida, Virgı́lio Soares, Marcio Ponte, and Fabio Lobato

In Anais do X Workshop de Computação Aplicada a Gestão do Meio Ambiente e Recursos Naturais, Jan 2019
GERENCIAMENTO DE PUBLICIDADES NA PLATAFORMA DAS REDES SOCIAIS DE ACORDOCOMCATEGORIAS DE CONTEÚDO

GUSTAVO NOGUEIRA DE SOUSA, ISABELLE DA SILVA GUIMARÃES, ANTONIO FERNANDO LAVAREDA JACOB JR, and FÁBIO MANOEL FRANÇA LOBATO

Revista SODEBRAS, Oct 2019
Dispositivo Não Invasivo para Monitoramento do Ambiente do Sono

Josué A S Oliveira, Vitor S Campos, Josivan R Reis, Fábio M F Lobato, and Roberto P Nascimento

In Anais do XIX Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), Jun 2019
Disability-Related News: An Analysis of User-Generated Content on Social Media Posts

Lucas Darlindo Freitas Rodrigues, Ademir Baségio Junior, and Fábio Manoel França Lobato

Proceedings of the 16th National Meeting on Artificial and Computational Intelligence, Jun 2019

Abs

Social media plays an essential role for people with disabilities and their family members by providing a channel for denouncement, in addition to inducing support networks. However, hate speech is also found in these media. In this sense, an analysis of social media posts about disability-related news in Brazil is presented in this paper. News media comments were collected and analyzed using topic modeling and sentiment analysis. Moreover, the posts were classified according to its content. The results show that there is a search on the subject, mainly regarding denunciations or for providing mutual support. The findings can guide the formation ofa support network for people with disabilities and their families.
Proposta de um Dispositivo Não Invasivo para Monitoramento do Ambiente do Sono

Vitor S Campos, Roberto P Nascimento, Josué A S Oliveira, Fábio M F Lobato, Josivan R Reis, Antonio F L Jacob Junior, and Marcelino S Da Silva

In Anais Es endidos do Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2019), Jun 2019
Melhorando Sistemas de Social CRM por meio de Eletronic Word-of-Mouth

José Santos D’Aquino Netto, Gustavo Rangel Torres Almeida, Fábio Manoel França Lobato, and Antonio Fernando Lavareda Jacob Junior

Revista Eletrônica de Iniciação Científica em Computação, Jun 2019

2018

GRSUS: Gerenciamento De Recursos De Saúde, Um Estudo Sob A Ótica Da Portaria GM/MS 1631/2015 No Estado do Pará

Paulo Sérgio Viegas, Lucas Vinı́cius Caldas, Antonio Fernando Jacob, and Fábio Manoel Lobato

In 15th CONTECSI-International Conference on Information Systems and Technology Management ISSN 2448-1041, Jun 2018
Development of a social network for research support and individual well-being improvement

Lucas VA Caldas, Antonio FL Jacob, Simone SC Silva, Fernando AR Pontes, and Fábio MF Lobato

In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Jun 2018
Vamos falar sobre deficiência? Uma análise dos Tweets sobre este tema no Brasil

Fábio Manoel França Lobato, Marcelo Silva, Krislen Coelho, Simone Costa Silva, and Fernando Pontes

In Anais do VII Brazilian Workshop on Social Network Analysis and Mining, Jun 2018
Current applications of machine learning techniques in CRM: a literature review and practical implications

Beatriz Nery Rodrigues Chagas, Julio Augusto Nogueira Viana, Olaf Reinhold, Fabio Lobato, Antonio FL Jacob, and Rainer Alt

In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), Jun 2018
A literature review in preprocessing for sentiment analysis for Brazilian Portuguese social media

Douglas Cirqueira, Márcia Fontes Pinheiro, Antonio Jacob, Fábio Lobato, and Adamo Santana

In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), Jun 2018
Social CRM in digital marketing agencies: an extensive classification of services

Gabriela Morgado Barata, Julio Viana, Olaf Reinhold, Fabio Lobato, and Rainer Alt

In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), Jun 2018

2017

Multimodal low-invasive system for sleep quality monitoring and improvement

Fábio Manoel Franca Lobato, Damares Crystina Oliveira Resende, Roberto Pereira Nascimento, André Luis Carvalho Siqueira, Antonio Fernando Lavareda Jacob, and Ádamo Lima Santana

Beyond the Internet of Things: Everything Interconnected, Jun 2017
Performance evaluation of sentiment analysis methods for Brazilian Portuguese

Douglas Cirqueira, Antonio Jacob, Fábio Lobato, Adamo Lima Santana, and Márcia Pinheiro

In Business Information Systems Workshops: BIS 2016 International Workshops, Leipzig, Germany, July 6-8, 2016, Revised Papers 19, Jun 2017
Opinion Label: A Gamified Crowdsourcing System for Sentiment

Douglas Cirqueira, Vini, Lucas Cius, Márcia Pinheiro, Antônio Jacob Junior, Fábio Lobato, and Ádamo Santana

In Anais Estendidos do XXIII Simpósio Brasileiro de Sistemas Multimı́dia e Web, Jun 2017
Social CRM : Estudo do mercado santareno

Luan V Huppes, and Fábio M F Lobato

Jun 2017
A Methodology for Community Detection in Twitter

Wendel Silva, Ádamo Santana, Fábio Lobato, and Márcia Pinheiro

In Proceedings of the International Conference on Web Intelligence, Jun 2017
Improving Social CRM through eletronic word-of-mouth: a case study of ReclameAqui

Gustavo Rangel Torres Almeida, Fabio Fábio M F Lobato, Douglas Rocha Cirqueira, and Fabio Fábio M F Lobato

In XIVWorkshop de Trabalhos de Iniciação Científic, Jun 2017

Abs

The ways of relationship between companies and customers have changed dramatically due to web-users engagement with Online Social Networks, impacting on the way consumers make purchase decisions. As a consequence, this phenomenon brought up a new concept, the Social Customer Relationship Management. In this context, Electronic Word-of-Mouth plays a significant role since customers are more exigent and having easy access to steadily more information about products, services and brands reputation. However, many reputation platforms do not provide an interface for automatic data collection. Thus, these data are not used in business decision making. Aiming to fill these gaps we propose an automatic data retrieval and analysis methods to knowledge extraction from Electronic Word-of-Mouth platforms, providing more reliability to the decision-making processes. The analysis consists in topic modeling using Latent Dirichlet Allocation to identify most frequent complaints and their correlations. Both, the data retrieval method and the analysis method are platform independent. A well-known reputation platform in Brazil was used to evaluate our proposal, the ReclameAqui.
Data Analysis of Multiplex Sequencing at SOLiD Platform: A Probabilistic Approach to Characterization and Reliability Increase

Fábio Manoel França Lobato, Carlos Diego Damasceno, Daniela Soares Leite, Ândrea Kelly Ribeiro-dos-Santos, Sylvain Darnet, Carlos Renato Francês, Nandamudi Lankalapalli Vijaykumar, Ádamo Lima Santana, Fábio Manoel França Lobato, Carlos Diego Damasceno, Daniela Soares Leite, Ândrea Kelly Ribeiro-dos-Santos, Sylvain Darnet, Carlos Renato Francês, Nandamudi Lankalapalli Vijaykumar, and Ádamo Lima Santana

American Journal of Molecular Biology, Jun 2017

Abs

New sequencing technologies such as Illumina/Solexa, SOLiD/ABI, and 454/Roche, revolutionized the biological researches. In this context, the SOLiD platform has a particular sequencing type, known as multiplex run, which enables the sequencing of several samples in a single run. It implies in cost reduction and simplifies the analysis of related samples. Meanwhile, this sequencing type requires an additional filtering step to ensure the reliability of the results. Thus, we propose in this paper a probabilistic model which considers the intrinsic characteristics of each sequencing to characterize multiplex runs and filter low-quality data, increasing the data analysis reliability of multiplex sequencing performed on SOLiD. The results show that the proposed model proves to be satisfactory due to: 1) identification of faults in the sequencing process; 2) adaptation and development of new protocols for sample preparation; 3) the assignment of a degree of confidence to the data generated; and 4) guiding a filtering process, without discarding useful sequences in an arbitrary manner.
Multimodal Low-Invasive System for Sleep Quality Monitoring and Improvement

Fábio Manoel Franca Lobato, Damares Crystina Oliveira Resende, Roberto Pereira Nascimento, André Luis Carvalho Siqueira, Antonio Fernando Lavareda Jacob, and Ádamo Lima Santana

In Beyond the Internet of Things: Everything Interconnected, Jun 2017
Opinion Label : A Gamified Crowdsourcing System for Sentiment Analysis Annotation

Douglas Cirqueira, Lucas Vinícius, Márcia Pinheiro, Jacob Jr. Antônio F L., Fábio Lobato, and Ádamo Santana

In XVI Workshop de Ferramentas e Aplicações, Jun 2017
Social crm: Biggest challenges to make it work in the real world

Fábio Lobato, Márcia Pinheiro, Antonio Jacob, Olaf Reinhold, and Ádamo Santana

In Business Information Systems Workshops: BIS 2016 International Workshops, Leipzig, Germany, July 6-8, 2016, Revised Papers 19, Jun 2017

2016

Multivariate time series imputation using genetic programming

Damares C O Resende, Ádamo L De Santana, Jacob Jr. Antônio F L., and Fábio M F Lobato

In Anais do XLVIII SBPO Simpósio Brasileiro de Pesquisa Operacional, Jun 2016
Performance evaluation of sentiment analysis methods for Brazilian Portuguese

Douglas Cirqueira, Antonio Jacob, Fábio Lobato, Adamo Lima Santana, and Márcia Pinheiro

In International Conference on Business Information Systems, Jun 2016
Time series imputation using genetic programming and Lagrange interpolation

Damares C O Resende, Ádamo Lima Santana, and Fábio Manoel França Fabio Manoel Franca Fábio M F Lobato

In 5th Brazilian Conference on Intelligent Systems, Oct 2016

Abs

Time series have been used in several applications such as process control, environment monitoring, financial analysis and scientific researches. However, in the presence of missing data, this study may become more complex due to a strong break of correlation among samples. Therefore, this work proposes an imputation method for time series using Genetic Programming (GP) and Lagrange Interpolation. The heuristic adopted builds an interpretable regression model that explores time series statistical features such as mean, variance and auto-correlation. It also makes use of interrelation among multivariate time series to estimate missing values. Results show that the proposed method is promising, being capable of imputing data without loosing the dataset’s statistical properties, as well as allowing a better understanding of the missing data pattern from the obtained interpretable model.