Methods for Constructing Symbolic Ensembles from Symbolic Classifiers. - Flávia Cristina Bernardini; Maria Carolina Monard (LAPTEC, 2005)

Constructing ensembles of symbolic classifiers. - Flávia Cristina Bernardini; Maria Carolina Monard; Ronaldo C. Prati (Int. J. Hybrid Intell. Syst., 2006)

Combinig classifiers using knowledge rule measures and genetic algortgms (Combinação de classificadores simbólicos utilizando medidas de regras de conhecimento e algoritmos genéticos). - Flávia Cristina Bernardini (2006)

Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. - Flávia Cristina Bernardini; Ronaldo C. Prati; Maria Carolina Monard (HIS, 2008)

Todas as palavras da sentença como métrica para um sumarizador automático. - Marcus Vinicius Carvalho Guelpeli; Flávia Cristina Bernardini; Ana Cristina Bicharra Garcia (WebMedia (Companion), 2008)

An Expert System Based on Parametric Net to Support Motor Pump Multi-Failure Diagnostic. - Flávia Cristina Bernardini; Ana Cristina Bicharra Garcia; Inhaúma Neves Ferraz (AIAI, 2009)

A framework of intentional characters for simulation of social behavior. - Luis C. da Costa; Esteban Walter Gonzalez Clua; Gilson A. Giraldi; Flávia Cristina Bernardini; Reinaldo A. C. Bianchi; Bruno Schulze; Anselmo Antunes Montenegro (SummerSim, 2010)

A Parallel Fipa Architecture Based on GPU for Games and Real Time Simulations. - Luiz Guilherme Oliveira dos Santos; Esteban Walter Gonzalez Clua; Flávia Cristina Bernardini (ICEC, 2012)

Using Artificial Datasets to Analyze How Cardinality and Density Influence Multi-label Learning. - Rodrigo Magalhaes Rodovalho; Flávia Cristina Bernardini (BRACIS, 2014)

ENIAC 2013 Special Issue. - Gustavo E. A. P. A. Batista; Myriam Regattieri Delgado; Flávia Cristina Bernardini (J. Intell. Robotic Syst., 2015)

Brazilian Social Mood: The Political Dimension of Emotion. - Leila Weitzel; Flávia Bernardini; Paulo Quaresma; Claudio André Alves; Wladek Zacharski; Luis G. de Figueiredo (CLEF, 2016)

Domain-Tailored Multiclass Classification of User Reviews Based on Binary Splits. - Alexandre Lunardi; José Viterbo; Clodis Boscarioli; Flávia Bernardini; Cristiano Maciel (HCI (12), 2016)

Um Modelo para Integração e Disponibilização de Dados na Área de Saúde Governamental [A Model for Data Integration and Availability in Health Government Area]. - Ana C. C. Ferronato; Fernanda Ramos Pires; Flávia Cristina Bernardini (SBSI, 2016)

Análise do uso de recuperação da informação em documentos de atendimento - Estudo de caso em bases de soluções de informática. [Analysis of Information Retrieval in Call Center Documents - Case Study in Computer Solutions Bases]. - Leandro Santos Gaspar; Flávia Cristina Bernardini; Leila Weitzel (SBSI, 2016)

RegK-Means: A Clustering Algorithm Using Spatial Contiguity Constraints for Regionalization Problems. - Leandro Miranda; José Viterbo Filho; Flávia Cristina Bernardini (BRACIS, 2017)

Transparency in practice: using visualization to enhance the interpretability of open data. - Raissa Barcellos; José Viterbo; Leandro Miranda; Flávia Bernardini; Cristiano Maciel; Daniela Trevisan 001 (DG.O, 2017)

City Ranking Based on Financial Flux Indicator Clustering. - Mauricio Barcelos; Flávia Bernardini; André Barcelos; Guido Vaz Silva (DG.O, 2017)

Building a Reference Model and an Evaluation Method for cities of the Brazilian Network of Smart and Human Cities. - Gabriela Viale Pereira; Marciele Berger Bernardes; Flávia Bernardini; Claudia Cappelli; A. Gomyde (DG.O, 2017)

Spatiotemporal Anomaly Detection Applied to Flow Measurement Points in Natural Gas Production Plants. - Hadriel Toledo Lima; Flávia Bernardini (J. Inf. Data Manag., 2017)

Analyzing the use of economic and financial indicators in smart cities context. - Mauricio Barcelos; André Barcelos; Flávia Bernardini; Guido Vaz Silva (DG.O, 2018)

An instrument for evaluating open data portals: a case study in Brazilian cities. - Viviann Machado; Gabriel Mantini; José Viterbo; Flávia Bernardini; Raissa Barcellos (DG.O, 2018)

How cities categorize datasets in their open data portals: an exploratory analysis. - Higor dos Santos Pinto; Flávia Bernardini; José Viterbo (DG.O, 2018)

A rationale for data governance as an approach to tackle recurrent drawbacks in open data portals. - Juan Ribeiro Reis; José Viterbo; Flávia Bernardini (DG.O, 2018)

Using Geocoding and Topic Extraction to Make Sense of Comments on Social Network Pages of Local Government Agencies. - Pedro C. R. Lima; Raissa Barcellos; Flávia Bernardini; José Viterbo (EGOV, 2018)

An Experimental Analysis on Scalable Implementations of the Alternating Least Squares Algorithm. - Dânia Meira; José Viterbo; Flávia Bernardini (FedCSIS, 2018)

Identifying Privacy Functional Requirements for Crowdsourcing Applications in Smart Cities. - Monica da Silva; José Viterbo; Flávia Bernardini; Cristiano Maciel (ISI, 2018)

An Instrument for Evaluating the Quality of Data Visualizations. - Raissa Barcellos; José Viterbo; Flávia Cristina Bernardini; Daniela Trevisan 001 (IV, 2018)

A framework for constructing open data map visualizations. - Victor Santos; Pedro Câmara; Flávia Bernardini; José Viterbo; Douglas Jorge (SBSI, 2018)

Combining Labeled Datasets for Sentiment Analysis from Different Domains Based on Dataset Similarity to Predict Electors Sentiment. - Jéssica Soares dos Santos; Aline Paes; Flávia Bernardini (BRACIS, 2019)

Anomaly Detection in Vehicle Traffic Data Using Batch and Stream Supervised Learning. - David Faial; Flávia Cristina Bernardini; Leandro Miranda; José Viterbo (EPIA (1), 2019)

How Factors that Influence Engagement Impact Users' Evaluations in Mobile App Stores. - Leonardo Pio Vasconcelos; Raissa Barcellos; José Viterbo; Flávia Bernardini; Clodis Boscarioli; Eunice P. dos Santos Nunes (HCI (13), 2019)

A Model Based on LSTM Neural Networks to Identify Five Different Types of Malware. - Eduardo de O. Andrade; José Viterbo; Cristina Nader Vasconcelos; Joris Guérin; Flávia Cristina Bernardini (KES, 2019)

Mining direct acyclic graphs to find frequent substructures - An experimental analysis on educational data. - Jefferson de J. Costa; Flávia Bernardini; Danilo Artigas; José Viterbo (Inf. Sci., 2019)

Towards the Use of Clustering Algorithms in Recommender Systems. - Leandro Miranda; José Viterbo; Flávia Bernardini (AMCIS, 2020)

Investigating Communicability Issues in the Open Data Manipulation Flow. - Leonardo Pio Vasconcelos; Raissa Barcellos; José Viterbo; Flávia Bernardini; Luciana Cardoso de Castro Salgado; Daniela Trevisan 001 (AMCIS, 2020)

A Methodology for Retrieving Datasets from Open Government Data Portals Using Information Retrieval and Question and Answering Techniques. - Raissa Barcellos; Flávia Bernardini; José Viterbo (EGOV, 2020)

Teaching CT through Internet of Things in High School: Possibilities and Reflections. - Gelson Schneider; Flávia Bernardini; Clodis Boscarioli (FIE, 2020)

Towards a COBIT5 approach to ICT governance requirements in smart cities. - Luiz Claudio Diogo Reis; Simone Bacellar Leal Ferreira; Flávia Cristina Bernardini; Claudia Cappelli (ICEGOV, 2020)

Towards a good practices catalog for ICT governance in the Brazilian smart cities context. - Luiz Claudio Diogo Reis; Simone Bacellar Leal Ferreira; Flávia Cristina Bernardini; Claudia Cappelli (ICEGOV, 2020)

An Approach for Acquiring Knowledge in Complex Domains Involving Different Data Sources and Uncertinty in Label Information: A Case Study on Cementation Quality Evaluation. - Flávia Bernardini; Rodrigo Salvador Monteiro; Inhaúma Neves Ferraz; José Viterbo; Adriel S. Araújo (ICEIS (1), 2020)

Assessing the level of acceptance of a crowdsourcing solution to monitor infectious diseases propagation. - Matheus M. Cruz; Roberta S. Oliveira; Augusto P. V. Beltrão; Paulo H. B. Lopes; José Viterbo; Daniela G. Trevisan; Flávia Bernardini (ISC2, 2020)

An Experimental Analysis for Detecting Wi-Fi Network Associations Using Multi-label Learning. - Guilherme Henrique Apostolo; Flávia Bernardini; Luiz Claudio Schara Magalhães; Débora C. Muchaluat-Saade (IWSSIP, 2020)

A Methodology for Taxi Demand Prediction Using Stream Learning. - David Faial; Flávia Bernardini; Edwin B. Mitacc Meza; Leandro Miranda; José Viterbo (IWSSIP, 2020)

Energy Consumption Prediction using Data Stream Learning for Commercial Buildings. - Luis Felipe de O. Fernandes; Flávia Bernardini; Edwin B. Mitacc Meza; Leandro Miranda; José Viterbo (IWSSIP, 2020)

An Exploratory Study Using Stream Learning Algorithms to Predict Duration Time of Vehicle Routes. - Angelica de Sousa Pinto; Flávia Bernardini; Leandro Miranda; José Viterbo; Edwin B. Mitacc Meza (IWSSIP, 2020)

Impact of Memory Control on Batch Learning in Human Activity Recognition Scenario in Comparison to Data Stream Learning. - Leandro Miranda; José Viterbo; Flávia Bernardini (MICAI (1), 2020)

Evaluating the behaviour of stream learning algorithms for detecting invasion on wireless networks. - Cláudio Alves; Flávia Bernardini; Edwin B. Mitacc Meza; Leandro Sousa (Int. J. Secur. Networks, 2020)

Assessing the Quality of Local E-Government Service Through Citizen-Sourcing Applications. - Mateus de Souza Monteiro; Leonardo Pio Vasconcelos; José Viterbo; Luciana Salgado; Flávia Bernardini (CSCWD, 2021)

ICT Governance in Brazilian Smart Cities: : An Integrative Approach in the Context of Digital Transformation. - Luiz Claudio Diogo Reis; Flávia Cristina Bernardini; Simone Bacellar Leal Ferreira; Claudia Cappelli (DG.O, 2021)

An ICT governance analysis for the digital and smart transformation of Brazilian municipalities. - Luiz Claudio Diogo Reis; Flávia Cristina Bernardini; Simone Bacellar Leal Ferreira; Claudia Cappelli (DG.O, 2021)

An Overview on the Use of Educational Data Mining for Constructing Recommendation Systems to Mitigate Retention in Higher Education. - Thiago Nazareth de Oliveira; Flávia Bernardini; José Viterbo (FIE, 2021)

Exploring the Challenges of ICT Governance in Brazilian Smart Cities. - Luiz Claudio Diogo Reis; Flávia Cristina Bernardini; Simone Bacellar Leal Ferreira; Claudia Cappelli (ICEGOV, 2021)

A Symbolic Machine Learning Approach for Cybersickness Potential-Cause Estimation. - Thiago Malheiros Porcino; Érick Oliveira Rodrigues; Flávia Cristina Bernardini; Daniela Trevisan 001; Esteban Clua (ICEC, 2021)

A Unified Methodology to Predict Wi-Fi Network Usage in Smart Buildings. - Guilherme Henrique Apostolo; Flávia Bernardini; Luiz Claudio Schara Magalhães; Débora Christina Muchaluat-Saade (IEEE Access, 2021)

PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings. - Ricardo A. M. Pinto; Flávia Cristina Bernardini; Ricardo M. Marcacini (Int. J. Bus. Intell. Data Min., 2021)

Editorial Vol. 14 No. 3. - Flavia Bernardini; André Grützmann; Igor Steinmacher; Awdren L. Fontão; Davi Viana; Flávio E. A. Horita (Braz. J. Inf. Syst., 2021)

ICT Governance in the Context of Smart Cities: A Study in Brazilian Municipalities. - Luiz Claudio Diogo Reis; Flávia Cristina Bernardini; Claudia Cappelli; Simone Bacellar Leal Ferreira (Braz. J. Inf. Syst., 2021)

A survey on the use of data and opinion mining in social media to political electoral outcomes prediction. - Jéssica Soares dos Santos; Flávia Bernardini; Aline Paes (Soc. Netw. Anal. Min., 2021)

Nursing Observatory: a platform the fight against Covid-19 (poster). - Matheus M. Cruz; Betânia Santos; Marcelo Persegona; Neyson Freire; Flávia Bernardini; Raissa Barcellos (EGOV-CeDEM-ePart-*, 2022)

'Right to Be Forgotten': Analyzing the Impact of Forgetting Data Using K-NN Algorithm in Data Stream Learning. - Caio Libera; Leandro Miranda; Flávia Bernardini; Saulo Martiello Mastelini; José Viterbo (EGOV, 2022)

Assessing the Suitability of Social Media Data for Identifying Crisis Events in Smart Cities: An Exploratory Study on Flood Situations. - Magaywer Moreira de Paiva; José Viterbo; Flávia Bernardini (EGOV, 2022)

A Methodology for Aligning Categories from Open Government Data Portals to a Comprehensive Set of Categories. - Higor dos Santos Pinto; Raissa Barcellos; Flávia Bernardini; José Viterbo (EGOV, 2022)

Assessing the Quality of Covid-19 Open Data Portals. - Igor Garcia Ballhausen Sampaio; Eduardo de O. Andrade; Flávia Bernardini; José Viterbo (EGOV, 2022)

Similarity-Based Dataset Recommendation Across Languages and Domains to Sentiment Analysis in the Electoral Domain. - Jéssica Soares dos Santos; Flávia Bernardini; Aline Paes (ePart, 2022)

Unified vocabulary in Official Gazettes: An exploratory study on procurement data. - Ruben Interian; Isela Mendoza; Flávia Bernardini; José Viterbo (ICEGOV, 2022)

A survey on the use of machine learning methods in context-aware middlewares for human activity recognition. - Leandro Miranda; José Viterbo; Flávia Bernardini (Artif. Intell. Rev., 2022)

Malware classification using word embeddings algorithms and long-short term memory networks. - Eduardo de O. Andrade; José Viterbo; Joris Guérin; Flávia Bernardini (Comput. Intell., 2022)

Identifying cybersickness causes in virtual reality games using symbolic machine learning algorithms. - Thiago Malheiros Porcino; Érick O. Rodrigues; Flávia Bernardini; Daniela Trevisan 001; Esteban Clua (Entertain. Comput., 2022)

A New Approach for Assessing Metadata Completeness in Open Data Portals. - Juan Ribeiro Reis; Flávia Bernardini; José Viterbo (Int. J. Electron. Gov. Res., 2022)

Towards defining data interpretability in open data portals: Challenges and research opportunities. - Raissa Barcellos; Flávia Cristina Bernardini; José Viterbo (Inf. Syst., 2022)

A Systematic Literature Review on Distributed Machine Learning in Edge Computing. - Carlos Poncinelli Filho; Elias L. Marques; Victor Chang 001; Leonardo dos Santos; Flávia Bernardini; Paulo F. Pires; Luiz S. Ochi; Flávia Coimbra Delicato (Sensors, 2022)

A framework for spatial regionalization composed of novel clustering-based algorithms under spatial contiguity constraints. - Leandro Miranda; José Viterbo; Flávia Bernardini (Trans. GIS, 2022)

Hippolyta: a framework to enhance open data interpretability and empower citizens. - Raissa Barcellos; Flávia Bernardini; José Viterbo; Anneke Zuiderwijk (DG.O, 2023)

Verifying Open Data Portals Completeness in Compliance to a Grounding Framework. - Flávia Bernardini; Catherine Fortes Thedim Costa; Shaiana Pereira; Victor Antunes Vieira; Daniela Trevisan 001; José Viterbo (EGOV, 2023)

Assessing Forgetfulness in Data Stream Learning - The Case of Hoeffding AnyTime Tree Algorithm. - João Pedro Costa; Régis Albuquerque; Flávia Cristina Bernardini (EGOV, 2023)

Trustworthy AI Governance (panel). - Fredrik Heintz; Csaba Csáki; Flávia Bernardini; Roel Dobbe (EGOV-CeDEM-ePart-*, 2023)

Digital Services Promoting Compliance, Integrity and Anti-Corruption the Case of Brazilian Cofen and Regional Nursing Councils System's Integrity Program (poster). - Marcelo Persegona; Betânia Santos; Matheus M. Cruz; Neyson Pinheiro Freire; Bruno Galvão Ferola; Flávia Bernardini; Júlia Marcolino Persegona (EGOV-CeDEM-ePart-*, 2023)

Assessing Factors of User Participation in Social Media During Crisis Events: An Analysis of Features and Practices. - Magaywer Moreira de Paiva; José Viterbo; Flavia Bernardini; Monica da Silva; Cristiano Maciel (I3E, 2023)

Assessment of the Nursing Observatory as a support tool to combat the contamination of nursing professionals by COVID. - Matheus M. Cruz; Marcelo Persegona; Neyson Pinheiro Freire; Flavia Bernardini; Júlia Marcolino Persegona; Vanessa Tavares Nunes; Raissa Barcellos (ICEGOV, 2023)

FGT-SAMK-NN: impact of the right to be forgotten using a lazy algorithm in data stream learning. - Eduardo Peniche; Leandro Miranda; Flavia Bernardini; José Viterbo (ICEGOV, 2023)

In-network Latency Nowcast Using Data Stream Learning Models. - Carlos David R. Pasco; Flávia Bernardini; Antônio Augusto de Aragão Rocha (IWCMC, 2023)

A Comparison Between the Most Used Process Mining Tools in the Market and in Academia: Identifying the Main Features Based on a Qualitative Analysis. - Gyslla Santos de Vasconcelos; Flavia Bernardini; José Viterbo (WorldCIST (2), 2023)

Exploring Interpretability in Open Government Data with ChatGPT. - Raissa Barcellos; Flavia Bernardini; Anneke Zuiderwijk; José Viterbo (DG.O, 2024)

Enhancing Transparency through Explainable Artificial Intelligence: An Exploratory Analysis on Collusion and Corruption Scenario in Digital Government. - Igor Garcia Ballhausen Sampaio; Sergio Fontes; Eduardo de O. Andrade; Flavia Bernardini; José Viterbo (DG.O, 2024)

A Framework for Implanting Citizen-Sourcing Platforms in Municipal Ombudsman Offices. - Jean Zahn; José Viterbo; Cristiano Maciel; Flavia Bernardini (DG.O, 2024)

Integrating University and Local Government to Address Strategic Planning Goals in Smart Cities: The Case of Niteroi and Fluminense Federal University. - Flavia Bernardini; Eduardo Oliveira; Matheus M. Cruz; José Viterbo; Jose Augusto Paixao (ICEGOV, 2024)

Strategic Planning as Management Tool for the Development of Smarter Cities: The Case of Brazilian Cities. - Matheus M. Cruz; Flávia Cristina Bernardini; Vanessa Tavares Nunes; Carlos Alberto Malcher Bastos (ISC2, 2024)

Opportunities and Challenges in Elections Through E-Voting: An Analysis on Voters Participation. - Matheus M. Cruz; Davi Vieira; Daniel Menezes; Neyson Freire; Flavia Bernardini; Marcelo Persegona (ISC2, 2024)

A Decentralized Agent-Based Model for Crisis Events Using Embedded Systems. - Nilson Mori Lazarin; Tielle Alexandre; Magaywer Moreira de Paiva; Carlos Eduardo Pantoja; José Viterbo; Flavia Bernardini (PAAMS, 2024)

An Overview on the Use of Machine Learning Algorithms for Identifying Anomalies in Industrial Valves. - Lesly Ttito Ugarte; Flavia Bernardini (WorldCIST (1), 2024)

From past to present: A tertiary investigation of twenty-four years of image inpainting. - Iany Macedo Barcelos; Taís Bruno Rabelo; Flavia Bernardini; Rodrigo Salvador Monteiro; Leandro Augusto Frata Fernandes (Comput. Graph., 2024)

A process for improving the quality and interpretability of data visualizations. - Raissa Barcellos; José Viterbo; Flavia Bernardini (Univers. Access Inf. Soc., 2024)

PATSA-BIL: Pipeline for automated texture and structure analysis of borehole image logs. - André M. Souza; Matheus A. Cruz; Paola M. C. Braga; Rodrigo B. Piva; Rodrigo A. C. Dias; Paulo R. Siqueira; Willian A. Trevizan; Candida M. de Jesus; Camilla Bazzarella; Rodrigo Salvador Monteiro; Flávia Cristina Bernardini; Leandro A. F. Fernandes; et al. (Expert Syst. Appl., 2025)

UX competitive analysis of smart city open data portals: usability framework, design recommendations, and a roadmap for sustainable data ecosystems. - Martin Lnenicka; Anastasija Nikiforova; Di Wang 007; Flávia Bernardini (Telematics Informatics, 2025)