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ORCIDFlavia Bernardini
Flávia Bernardini – Flávia Cristina Bernardini
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2020 – today
- 2024
[j19]Iany Macedo Barcelos
, Taís Bruno Rabelo, Flavia Bernardini, Rodrigo Salvador Monteiro, Leandro Augusto Frata Fernandes:
From past to present: A tertiary investigation of twenty-four years of image inpainting. Comput. Graph. 123: 104010 (2024)- [j18]Raissa Barcellos, José Viterbo, Flavia Bernardini:
A process for improving the quality and interpretability of data visualizations. Univers. Access Inf. Soc. 23(2): 779-794 (2024) - [c71]Igor Garcia Ballhausen Sampaio, Sergio Fontes, Eduardo de O. Andrade, Flavia Bernardini, José Viterbo:
Enhancing Transparency through Explainable Artificial Intelligence: An Exploratory Analysis on Collusion and Corruption Scenario in Digital Government. DG.O 2024: 52-62 - [c70]Raissa Barcellos, Flavia Bernardini, Anneke Zuiderwijk, José Viterbo:
Exploring Interpretability in Open Government Data with ChatGPT. DG.O 2024: 186-195 - [c69]Jean Zahn, José Viterbo, Cristiano Maciel, Flavia Bernardini:
A Framework for Implanting Citizen-Sourcing Platforms in Municipal Ombudsman Offices. DG.O 2024: 542-554 - [c68]Flavia Bernardini, Eduardo Oliveira, Matheus M. Cruz, José Viterbo, Jose Augusto Paixao:
Integrating University and Local Government to Address Strategic Planning Goals in Smart Cities: The Case of Niteroi and Fluminense Federal University. ICEGOV 2024: 300-308 - [c67]Nilson Mori Lazarin, Tielle Alexandre, Magaywer Moreira de Paiva, Carlos Eduardo Pantoja, José Viterbo, Flavia Bernardini:
A Decentralized Agent-Based Model for Crisis Events Using Embedded Systems. PAAMS 2024: 159-171 - [c66]Lesly Ttito Ugarte, Flavia Bernardini:
An Overview on the Use of Machine Learning Algorithms for Identifying Anomalies in Industrial Valves. WorldCIST (1) 2024: 3-12 - [e1]Hsin-Chung Liao, David Duenas-Cid, Marie Anne Macadar, Flavia Bernardini:
Proceedings of the 25th Annual International Conference on Digital Government Research, DGO 2024, Taipei, Taiwan, June 11-14, 2024. ACM 2024 [contents] - 2023
- [c65]Raissa Barcellos, Flávia Bernardini, José Viterbo, Anneke Zuiderwijk:
Hippolyta: a framework to enhance open data interpretability and empower citizens. DG.O 2023: 191-198 - [c64]João Pedro Costa, Régis Albuquerque, Flávia Cristina Bernardini:
Assessing Forgetfulness in Data Stream Learning - The Case of Hoeffding AnyTime Tree Algorithm. EGOV 2023: 144-159 - [c63]Flávia Bernardini, Catherine Fortes Thedim Costa, Shaiana Pereira, Victor Antunes Vieira, Daniela Trevisan, José Viterbo:
Verifying Open Data Portals Completeness in Compliance to a Grounding Framework. EGOV 2023: 246-261 - [c62]Fredrik Heintz, Csaba Csáki, Flávia Bernardini, Roel Dobbe:
Trustworthy AI Governance (panel). EGOV-CeDEM-ePart-* 2023 - [c61]Marcelo Persegona, Betânia Santos, Matheus M. Cruz, Neyson Pinheiro Freire, Bruno Galvão Ferola, Flávia Bernardini, Júlia Marcolino Persegona:
Digital Services Promoting Compliance, Integrity and Anti-Corruption the Case of Brazilian Cofen and Regional Nursing Councils System's Integrity Program (poster). EGOV-CeDEM-ePart-* 2023 - [c60]Magaywer Moreira de Paiva, José Viterbo, Flavia Bernardini, Monica da Silva, Cristiano Maciel:
Assessing Factors of User Participation in Social Media During Crisis Events: An Analysis of Features and Practices. I3E 2023: 195-206 - [c59]Eduardo Peniche, Leandro Miranda, Flavia Bernardini, José Viterbo:
FGT-SAMK-NN: impact of the right to be forgotten using a lazy algorithm in data stream learning. ICEGOV 2023: 1-8 - [c58]Matheus M. Cruz, Marcelo Persegona, Neyson Pinheiro Freire, Flavia Bernardini, Júlia Marcolino Persegona, Vanessa Tavares Nunes, Raissa Barcellos:
Assessment of the Nursing Observatory as a support tool to combat the contamination of nursing professionals by COVID. ICEGOV 2023: 247-253 - [c57]Carlos David R. Pasco, Flávia Bernardini, Antônio Augusto de Aragão Rocha:
In-network Latency Nowcast Using Data Stream Learning Models. IWCMC 2023: 1214-1219 - [c56]Gyslla Santos de Vasconcelos, Flavia Bernardini, José Viterbo:
A Comparison Between the Most Used Process Mining Tools in the Market and in Academia: Identifying the Main Features Based on a Qualitative Analysis. WorldCIST (2) 2023: 218-228 - 2022
- [j17]Leandro Miranda, José Viterbo, Flávia Bernardini:
A survey on the use of machine learning methods in context-aware middlewares for human activity recognition. Artif. Intell. Rev. 55(4): 3369-3400 (2022) - [j16]Eduardo de O. Andrade, José Viterbo, Joris Guérin, Flávia Bernardini:
Malware classification using word embeddings algorithms and long-short term memory networks. Comput. Intell. 38(5): 1802-1830 (2022) - [j15]Thiago Malheiros Porcino, Érick O. Rodrigues, Flávia Bernardini, Daniela Trevisan, Esteban Clua:
Identifying cybersickness causes in virtual reality games using symbolic machine learning algorithms. Entertain. Comput. 41: 100473 (2022) - [j14]Juan Ribeiro Reis, Flávia Bernardini, José Viterbo:
A New Approach for Assessing Metadata Completeness in Open Data Portals. Int. J. Electron. Gov. Res. 18(1): 1-20 (2022) - [j13]Raissa Barcellos, Flávia Cristina Bernardini, José Viterbo:
Towards defining data interpretability in open data portals: Challenges and research opportunities. Inf. Syst. 106: 101961 (2022) - [j12]Carlos Poncinelli Filho, Elias L. Marques, Victor Chang, Leonardo dos Santos, Flávia Bernardini, Paulo F. Pires, Luiz S. Ochi, Flávia Coimbra Delicato:
A Systematic Literature Review on Distributed Machine Learning in Edge Computing. Sensors 22(7): 2665 (2022) - [j11]Leandro Miranda, José Viterbo, Flávia Bernardini:
A framework for spatial regionalization composed of novel clustering-based algorithms under spatial contiguity constraints. Trans. GIS 26(4): 1775-1800 (2022) - [c55]Matheus M. Cruz, Betânia Santos, Marcelo Persegona, Neyson Freire, Flávia Bernardini, Raissa Barcellos:
Nursing Observatory: a platform the fight against Covid-19 (poster). EGOV-CeDEM-ePart-* 2022 - [c54]Magaywer Moreira de Paiva, José Viterbo, Flávia Bernardini:
Assessing the Suitability of Social Media Data for Identifying Crisis Events in Smart Cities: An Exploratory Study on Flood Situations. EGOV 2022: 147-162 - [c53]Igor Garcia Ballhausen Sampaio, Eduardo de O. Andrade, Flávia Bernardini, José Viterbo:
Assessing the Quality of Covid-19 Open Data Portals. EGOV 2022: 212-227 - [c52]Higor dos Santos Pinto, Raissa Barcellos, Flávia Bernardini, José Viterbo:
A Methodology for Aligning Categories from Open Government Data Portals to a Comprehensive Set of Categories. EGOV 2022: 258-273 - [c51]Caio Libera, Leandro Miranda, Flávia Bernardini, Saulo Martiello Mastelini, José Viterbo:
'Right to Be Forgotten': Analyzing the Impact of Forgetting Data Using K-NN Algorithm in Data Stream Learning. EGOV 2022: 530-542 - [c50]Jéssica Soares dos Santos, Flávia Bernardini, Aline Paes:
Similarity-Based Dataset Recommendation Across Languages and Domains to Sentiment Analysis in the Electoral Domain. ePart 2022: 107-123 - [c49]Ruben Interian, Isela Mendoza, Flávia Bernardini, José Viterbo:
Unified vocabulary in Official Gazettes: An exploratory study on procurement data. ICEGOV 2022: 195-202 - 2021
- [j10]Guilherme Henrique Apostolo, Flávia Bernardini, Luiz Claudio Schara Magalhães, Débora Christina Muchaluat-Saade:
A Unified Methodology to Predict Wi-Fi Network Usage in Smart Buildings. IEEE Access 9: 11455-11469 (2021) - [j9]Ricardo A. M. Pinto, Flávia Cristina Bernardini, Ricardo M. Marcacini:
PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings. Int. J. Bus. Intell. Data Min. 18(3): 364-382 (2021) - [j8]Flavia Bernardini, André Grützmann, Igor Steinmacher, Awdren L. Fontão, Davi Viana, Flávio E. A. Horita:
Editorial Vol. 14 No. 3. Braz. J. Inf. Syst. 14(3): 1-4 (2021) - [j7]Luiz Claudio Diogo Reis, Flávia Cristina Bernardini, Claudia Cappelli, Simone Bacellar Leal Ferreira:
ICT Governance in the Context of Smart Cities: A Study in Brazilian Municipalities. Braz. J. Inf. Syst. 14(3): 25-46 (2021) - [j6]Jéssica Soares dos Santos, Flávia Bernardini, Aline Paes:
A survey on the use of data and opinion mining in social media to political electoral outcomes prediction. Soc. Netw. Anal. Min. 11(1): 103 (2021) - [c48]Mateus de Souza Monteiro, Leonardo Pio Vasconcelos, José Viterbo, Luciana Salgado, Flávia Bernardini:
Assessing the Quality of Local E-Government Service Through Citizen-Sourcing Applications. CSCWD 2021: 1178-1183 - [c47]Luiz Claudio Diogo Reis, Flávia Cristina Bernardini, Simone Bacellar Leal Ferreira, Claudia Cappelli:
ICT Governance in Brazilian Smart Cities: : An Integrative Approach in the Context of Digital Transformation. DG.O 2021: 302-316 - [c46]Luiz Claudio Diogo Reis, Flávia Cristina Bernardini, Simone Bacellar Leal Ferreira, Claudia Cappelli:
An ICT governance analysis for the digital and smart transformation of Brazilian municipalities. DG.O 2021: 327-338 - [c45]Thiago Nazareth de Oliveira, Flávia Bernardini, José Viterbo:
An Overview on the Use of Educational Data Mining for Constructing Recommendation Systems to Mitigate Retention in Higher Education. FIE 2021: 1-7 - [c44]Luiz Claudio Diogo Reis, Flávia Cristina Bernardini, Simone Bacellar Leal Ferreira, Claudia Cappelli:
Exploring the Challenges of ICT Governance in Brazilian Smart Cities. ICEGOV 2021: 429-435 - [c43]Thiago Malheiros Porcino, Érick Oliveira Rodrigues, Flávia Cristina Bernardini, Daniela Trevisan, Esteban Clua:
A Symbolic Machine Learning Approach for Cybersickness Potential-Cause Estimation. ICEC 2021: 115-126 - 2020
- [j5]Cláudio Alves, Flávia Bernardini, Edwin B. Mitacc Meza, Leandro Sousa:
Evaluating the behaviour of stream learning algorithms for detecting invasion on wireless networks. Int. J. Secur. Networks 15(3): 133-140 (2020) - [c42]Leandro Miranda, José Viterbo, Flávia Bernardini:
Towards the Use of Clustering Algorithms in Recommender Systems. AMCIS 2020 - [c41]Leonardo Pio Vasconcelos, Raissa Barcellos, José Viterbo, Flávia Bernardini, Luciana Cardoso de Castro Salgado, Daniela Trevisan:
Investigating Communicability Issues in the Open Data Manipulation Flow. AMCIS 2020 - [c40]Raissa Barcellos, Flávia Bernardini, José Viterbo:
A Methodology for Retrieving Datasets from Open Government Data Portals Using Information Retrieval and Question and Answering Techniques. EGOV 2020: 239-249 - [c39]Gelson Schneider, Flávia Bernardini, Clodis Boscarioli:
Teaching CT through Internet of Things in High School: Possibilities and Reflections. FIE 2020: 1-8 - [c38]Luiz Claudio Diogo Reis, Simone Bacellar Leal Ferreira, Flávia Cristina Bernardini, Claudia Cappelli:
Towards a COBIT5 approach to ICT governance requirements in smart cities. ICEGOV 2020: 654-661 - [c37]Luiz Claudio Diogo Reis, Simone Bacellar Leal Ferreira, Flávia Cristina Bernardini, Claudia Cappelli:
Towards a good practices catalog for ICT governance in the Brazilian smart cities context. ICEGOV 2020: 670-673 - [c36]Flávia Bernardini, Rodrigo Salvador Monteiro, Inhaúma Neves Ferraz, José Viterbo, Adriel S. Araújo:
An Approach for Acquiring Knowledge in Complex Domains Involving Different Data Sources and Uncertinty in Label Information: A Case Study on Cementation Quality Evaluation. ICEIS (1) 2020: 563-570 - [c35]Matheus M. Cruz, Roberta S. Oliveira, Augusto P. V. Beltrão, Paulo H. B. Lopes, José Viterbo, Daniela G. Trevisan, Flávia Bernardini:
Assessing the level of acceptance of a crowdsourcing solution to monitor infectious diseases propagation. ISC2 2020: 1-8 - [c34]Angelica de Sousa Pinto, Flávia Bernardini, Leandro Miranda, José Viterbo, Edwin B. Mitacc Meza:
An Exploratory Study Using Stream Learning Algorithms to Predict Duration Time of Vehicle Routes. IWSSIP 2020: 299-304 - [c33]David Faial, Flávia Bernardini, Edwin B. Mitacc Meza, Leandro Miranda, José Viterbo:
A Methodology for Taxi Demand Prediction Using Stream Learning. IWSSIP 2020: 417-422 - [c32]Guilherme Henrique Apostolo, Flávia Bernardini, Luiz Claudio Schara Magalhães, Débora C. Muchaluat-Saade:
An Experimental Analysis for Detecting Wi-Fi Network Associations Using Multi-label Learning. IWSSIP 2020: 423-428 - [c31]Luis Felipe de O. Fernandes, Flávia Bernardini, Edwin B. Mitacc Meza, Leandro Miranda, José Viterbo:
Energy Consumption Prediction using Data Stream Learning for Commercial Buildings. IWSSIP 2020: 441-446 - [c30]Leandro Miranda, José Viterbo, Flávia Bernardini:
Impact of Memory Control on Batch Learning in Human Activity Recognition Scenario in Comparison to Data Stream Learning. MICAI (1) 2020: 145-157
2010 – 2019
- 2019
- [j4]Jefferson de J. Costa, Flávia Bernardini, Danilo Artigas, José Viterbo:
Mining direct acyclic graphs to find frequent substructures - An experimental analysis on educational data. Inf. Sci. 482: 266-278 (2019) - [c29]Jéssica Soares dos Santos, Aline Paes, Flávia Bernardini:
Combining Labeled Datasets for Sentiment Analysis from Different Domains Based on Dataset Similarity to Predict Electors Sentiment. BRACIS 2019: 455-460 - [c28]David Faial, Flávia Cristina Bernardini, Leandro Miranda, José Viterbo:
Anomaly Detection in Vehicle Traffic Data Using Batch and Stream Supervised Learning. EPIA (1) 2019: 675-684 - [c27]Leonardo Pio Vasconcelos, Raissa Barcellos, José Viterbo, Flávia Bernardini, Clodis Boscarioli, Eunice P. dos Santos Nunes:
How Factors that Influence Engagement Impact Users' Evaluations in Mobile App Stores. HCI (13) 2019: 571-584 - [c26]Eduardo de O. Andrade, José Viterbo, Cristina Nader Vasconcelos, Joris Guérin, Flávia Cristina Bernardini:
A Model Based on LSTM Neural Networks to Identify Five Different Types of Malware. KES 2019: 182-191 - 2018
- [c25]Viviann Machado, Gabriel Mantini, José Viterbo, Flávia Bernardini, Raissa Barcellos:
An instrument for evaluating open data portals: a case study in Brazilian cities. DG.O 2018: 19:1-19:10 - [c24]Higor dos Santos Pinto, Flávia Bernardini, José Viterbo:
How cities categorize datasets in their open data portals: an exploratory analysis. DG.O 2018: 25:1-25:9 - [c23]Juan Ribeiro Reis, José Viterbo, Flávia Bernardini:
A rationale for data governance as an approach to tackle recurrent drawbacks in open data portals. DG.O 2018: 73:1-73:9 - [c22]Mauricio Barcelos, André Barcelos, Flávia Bernardini, Guido Vaz Silva:
Analyzing the use of economic and financial indicators in smart cities context. DG.O 2018: 94:1-94:2 - [c21]Pedro C. R. Lima, Raissa Barcellos, Flávia Bernardini, José Viterbo:
Using Geocoding and Topic Extraction to Make Sense of Comments on Social Network Pages of Local Government Agencies. EGOV 2018: 263-274 - [c20]Dânia Meira, José Viterbo, Flávia Bernardini:
An Experimental Analysis on Scalable Implementations of the Alternating Least Squares Algorithm. FedCSIS 2018: 351-359 - [c19]Monica da Silva, José Viterbo, Flávia Bernardini, Cristiano Maciel:
Identifying Privacy Functional Requirements for Crowdsourcing Applications in Smart Cities. ISI 2018: 106-111 - [c18]Raissa Barcellos, José Viterbo, Flávia Cristina Bernardini, Daniela Trevisan:
An Instrument for Evaluating the Quality of Data Visualizations. IV 2018: 169-174 - [c17]Victor Santos, Pedro Câmara, Flávia Bernardini, José Viterbo, Douglas Jorge:
A framework for constructing open data map visualizations. SBSI 2018: 12:1-12:7 - 2017
- [j3]Hadriel Toledo Lima, Flávia Bernardini:
Spatiotemporal Anomaly Detection Applied to Flow Measurement Points in Natural Gas Production Plants. J. Inf. Data Manag. 8(2): 163- (2017) - [c16]Leandro Miranda, José Viterbo Filho, Flávia Cristina Bernardini:
RegK-Means: A Clustering Algorithm Using Spatial Contiguity Constraints for Regionalization Problems. BRACIS 2017: 31-36 - [c15]Raissa Barcellos, José Viterbo, Leandro Miranda, Flávia Bernardini, Cristiano Maciel, Daniela Trevisan:
Transparency in practice: using visualization to enhance the interpretability of open data. DG.O 2017: 139-148 - [c14]Mauricio Barcelos, Flávia Bernardini, André Barcelos, Guido Vaz Silva:
City Ranking Based on Financial Flux Indicator Clustering. DG.O 2017: 452-460 - [c13]Gabriela Viale Pereira, Marciele Berger Bernardes, Flávia Bernardini, Claudia Cappelli, A. Gomyde:
Building a Reference Model and an Evaluation Method for cities of the Brazilian Network of Smart and Human Cities. DG.O 2017: 580-581 - 2016
- [c12]Leila Weitzel, Flávia Bernardini, Paulo Quaresma, Claudio André Alves, Wladek Zacharski, Luis G. de Figueiredo:
Brazilian Social Mood: The Political Dimension of Emotion. CLEF 2016: 247-252 - [c11]Alexandre Lunardi, José Viterbo, Clodis Boscarioli, Flávia Bernardini, Cristiano Maciel:
Domain-Tailored Multiclass Classification of User Reviews Based on Binary Splits. HCI (12) 2016: 298-309 - [c10]Leandro Santos Gaspar, Flávia Cristina Bernardini, Leila Weitzel:
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]. SBSI 2016: 41-44 - [c9]Ana C. C. Ferronato, Fernanda Ramos Pires, Flávia Cristina Bernardini:
Um Modelo para Integração e Disponibilização de Dados na Área de Saúde Governamental [A Model for Data Integration and Availability in Health Government Area]. SBSI 2016: 124-127 - 2015
- [j2]Gustavo E. A. P. A. Batista, Myriam Regattieri Delgado, Flávia Cristina Bernardini:
ENIAC 2013 Special Issue. J. Intell. Robotic Syst. 80(Supplement-1): 225-226 (2015) - 2014
- [c8]Rodrigo Magalhaes Rodovalho, Flávia Cristina Bernardini:
Using Artificial Datasets to Analyze How Cardinality and Density Influence Multi-label Learning. BRACIS 2014: 19-24 - 2012
- [c7]Luiz Guilherme Oliveira dos Santos, Esteban Walter Gonzalez Clua, Flávia Cristina Bernardini:
A Parallel Fipa Architecture Based on GPU for Games and Real Time Simulations. ICEC 2012: 306-317 - 2010
- [c6]Luis C. da Costa, Esteban Walter Gonzalez Clua, Gilson A. Giraldi, Flávia Cristina Bernardini, Reinaldo A. C. Bianchi, Bruno Schulze, Anselmo Antunes Montenegro:
A framework of intentional characters for simulation of social behavior. SummerSim 2010: 244-249
2000 – 2009
- 2009
- [c5]Flávia Cristina Bernardini, Ana Cristina Bicharra Garcia, Inhaúma Neves Ferraz:
An Expert System Based on Parametric Net to Support Motor Pump Multi-Failure Diagnostic. AIAI 2009: 13-20 - 2008
- [c4]Flávia Cristina Bernardini, Ronaldo C. Prati, Maria Carolina Monard:
Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. HIS 2008: 525-530 - [c3]Marcus Vinicius Carvalho Guelpeli, Flávia Cristina Bernardini, Ana Cristina Bicharra Garcia:
Todas as palavras da sentença como métrica para um sumarizador automático. WebMedia (Companion) 2008: 287-291 - 2006
- [b1]Flávia Cristina Bernardini:
Combinig classifiers using knowledge rule measures and genetic algortgms (Combinação de classificadores simbólicos utilizando medidas de regras de conhecimento e algoritmos genéticos). University of São Paulo, Brazil, 2006 - [j1]Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati:
Constructing ensembles of symbolic classifiers. Int. J. Hybrid Intell. Syst. 3(3): 159-167 (2006) - 2005
- [c2]Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati:
Constructing Ensembles of Symbolic Classifiers. HIS 2005: 315-322 - [c1]Flávia Cristina Bernardini, Maria Carolina Monard:
Methods for Constructing Symbolic Ensembles from Symbolic Classifiers. LAPTEC 2005: 161-168
Coauthor Index
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