Visualização de Dados em Sistemas de Bases de Dados Relacionais. - Agma J. M. Traina; Caetano Traina Jr.; Elisângela Botelho; Maria Camila Nardini Barioni; Renato Bueno (SBBD, 2001)

Visually Mining on Multiple Relational Tables at Once. - Maria Camila Nardini Barioni; Humberto Luiz Razente; Caetano Traina Jr.; Agma J. M. Traina (ADBIS Research Communications, 2002)

Data Visualization in RDBMS. - Maria Camila Nardini Barioni; Elisângela Botelho; Christos Faloutsos; Humberto Luiz Razente; Agma J. M. Traina; Caetano Traina Jr. (ISDB, 2002)

Visual Analysis of Feature Selection for Data Mining Processes. - Humberto Luiz Razente; Fabio Jun Takada Chino; Maria Camila Nardini Barioni; Agma J. M. Traina; Caetano Traina Jr. (SBBD, 2004)

Querying complex objects by similarity in SQL. - Maria Camila Nardini Barioni; Humberto Luiz Razente; Caetano Traina Jr.; Agma J. M. Traina (SBBD, 2005)

An Efficient Approach to Scale up k-medoid based Algorithms in Large Databases. - Maria Camila Nardini Barioni; Humberto Luiz Razente; Agma J. M. Traina; Caetano Traina Jr. (SBBD, 2006)

SIREN: A Similarity Retrieval Engine for Complex Data. - Maria Camila Nardini Barioni; Humberto Luiz Razente; Agma J. M. Traina; Caetano Traina Jr. (VLDB, 2006)

Similarity search operations in large complex databases. - Maria Camila Nardini Barioni (2006)

Constrained Aggregate Similarity Queries in Metric Spaces. - Humberto Luiz Razente; Maria Camila Nardini Barioni; Agma J. M. Traina; Caetano Traina Jr. (SBBD, 2007)

A novel optimization approach to efficiently process aggregate similarity queries in metric access methods. - Humberto Luiz Razente; Maria Camila Nardini Barioni; Agma J. M. Traina; Christos Faloutsos; Caetano Traina Jr. (CIKM, 2008)

Aggregate similarity queries in relevance feedback methods for content-based image retrieval. - Humberto Luiz Razente; Maria Camila Nardini Barioni; Agma J. M. Traina; Caetano Traina Jr. (SAC, 2008)

Accelerating k-medoid-based algorithms through metric access methods. - Maria Camila Nardini Barioni; Humberto Luiz Razente; Agma Juci Machado Traina; Caetano Traina Jr. (J. Syst. Softw., 2008)

Seamlessly integrating similarity queries in SQL. - Maria Camila Nardini Barioni; Humberto Luiz Razente; Agma Juci Machado Traina; Caetano Traina Jr. (Softw. Pract. Exp., 2009)

Metric Data Analysis Enhanced through Temporal Visualization. - Renato Bueno; Humberto Luiz Razente; Daniel S. Kaster; Maria Camila Nardini Barioni; Agma J. M. Traina; Caetano Traina Jr. (IV, 2010)

On query result diversification. - Marcos R. Vieira; Humberto Luiz Razente; Maria Camila Nardini Barioni; Marios Hadjieleftheriou; Divesh Srivastava; Caetano Traina Jr.; Vassilis J. Tsotras (ICDE, 2011)

Using Visual Analysis to Weight Multiple Signatures to Discriminate Complex Data. - Renato Bueno; Daniel S. Kaster; Humberto Luiz Razente; Maria Camila Nardini Barioni; Agma J. M. Traina; Caetano Traina Jr. (IV, 2011)

Using data mining to identify structural rules in proteins. - Diogo Stelle; Maria Camila Nardini Barioni; Luis P. B. Scott (Appl. Math. Comput., 2011)

DivDB: A System for Diversifying Query Results. - Marcos R. Vieira; Humberto Luiz Razente; Maria Camila Nardini Barioni; Marios Hadjieleftheriou; Divesh Srivastava; Caetano Traina Jr.; Vassilis J. Tsotras (Proc. VLDB Endow., 2011)

Novas políticas de divisão de nós para a Slim-tree. - Jéssica Andressa de Souza; Humberto Luiz Razente; Maria Camila Nardini Barioni (SBBD (Short Papers), 2012)

Faster construction of ball-partitioning-based metric access methods. - Jéssica Andressa de Souza; Humberto Luiz Razente; Maria Camila Nardini Barioni (SAC, 2013)

Optimizing metric access methods for querying and mining complex data types. - Jéssica Andressa de Souza; Humberto Luiz Razente; Maria Camila Nardini Barioni (J. Braz. Comput. Soc., 2014)

Open issues for partitioning clustering methods: an overview. - Maria Camila Nardini Barioni; Humberto Luiz Razente; Alessandra M. R. Marcelino; Agma J. M. Traina; Caetano Traina Jr. (WIREs Data Mining Knowl. Discov., 2014)

Semi-supervised clustering using multi-assistant-prototypes to represent each cluster. - Walter J. Silva; Maria Camila Nardini Barioni; Sandra de Amo; Humberto Luiz Razente (SAC, 2015)

Combinando semi-supervisão e hubness para aprimorar o agrupamento de dados em alta dimensão. - Mateus Curcino de Lima; Maria Camila Nardini Barioni; Humberto Luiz Razente (SBBD, 2016)

Impacto da amostragem aleatória uniforme para o aumento da escalabilidade na geração de agrupamentos hierárquicos de séries espaço-temporais. - Rodolfo M. S. Mendes; Humberto Luiz Razente; Maria Camila Nardini Barioni; Luciana Alvim Santos Romani (SBBD, 2016)

Explorando o Uso de Short-term Memory na Construção de Métodos de Acesso Métricos Mais Eficientes. - Régis Michel dos Santos Sousa; Humberto Luiz Razente; Maria Camila Nardini Barioni (SBBD, 2016)

Temporal Conditional Preference Queries on Streams. - Marcos Roberto Ribeiro; Maria Camila Nardini Barioni; Sandra de Amo; Claudia Roncancio; Cyril Labbé (DEXA (1), 2017)

Reasoning with Temporal Preferences over Data Streams. - Marcos Roberto Ribeiro; Maria Camila Nardini Barioni; Sandra de Amo; Claudia Roncancio; Cyril Labbé (FLAIRS, 2017)

Similarity search through one-dimensional embeddings. - Humberto Luiz Razente; Rafael L. Bernardes Lima; Maria Camila Nardini Barioni (SAC, 2017)

A Framework for Online Clustering Based on Evolving Semi-Supervision. - Guilherme Alves 001; Maria Camila Nardini Barioni; Elaine R. Faria (SBBD, 2017)

Combining Semi-supervision and Hubness to Enhance High-dimensional Data Clustering. - Mateus Curcino de Lima; Maria Camila Nardini Barioni; Humberto Luiz Razente (J. Inf. Data Manag., 2017)

Finding Top-k Sequences over Data Streams According to Temporal Conditional Preferences. - Marcos Roberto Ribeiro; Maria Camila Nardini Barioni; Sandra de Amo; Claudia Roncancio; Cyril Labbé (SBBD, 2018)

Metric Indexing Assisted by Short-Term Memories. - Humberto Luiz Razente; Régis Michel dos Santos Sousa; Maria Camila Nardini Barioni (SISAP, 2018)

Incremental evaluation of continuous preference queries. - Marcos Roberto Ribeiro; Maria Camila Nardini Barioni; Sandra de Amo; Claudia Roncancio; Cyril Labbé (Inf. Sci., 2018)

Explorando o uso de árvores B+ na Indexação de Dados por Similaridade. - Jéssica N. B. de Farias; Maria Camila Nardini Barioni; Humberto Luiz Razende (SBBD, 2019)

Storing Data Once in M-tree and PM-tree. - Humberto Luiz Razente; Maria Camila Nardini Barioni (SISAP, 2019)

StreamPref: a query language for temporal conditional preferences on data streams. - Marcos Roberto Ribeiro; Maria Camila Nardini Barioni; Sandra de Amo; Claudia Roncancio; Cyril Labbé (J. Intell. Inf. Syst., 2019)

EVISClass: a new evaluation method for image data stream classifiers. - Mateus Curcino de Lima; Maria Camila Nardini Barioni; Elaine R. Faria; Humberto Luiz Razente (ICMLA, 2020)

Temporal Properties of Cyberbullying on Instagram. - Aabhaas Gupta; Wenxi Yang; Divya Sivakumar; Yasin N. Silva; Deborah L. Hall; Maria Camila Nardini Barioni (WWW (Companion Volume), 2020)

Evaluating the Construction of Feature Descriptors in the Performance of the Image Data Stream Classification. - Mateus Curcino de Lima; Alex J. S. de Abreu; Elaine R. Faria; Maria Camila Nardini Barioni (CIARP, 2021)

A comprehensive analysis of delayed insertions in metric access methods. - Humberto Luiz Razente; Maria Camila Nardini Barioni; Régis Michel dos Santos Sousa (Inf. Syst., 2021)

#WashTheHate: Understanding the Prevalence of Anti-Asian Prejudice on Twitter During the COVID-19 Pandemic. - Brittany Wheeler; Seong Jung; Maria Camila Nardini Barioni; Monika Purohit; Deborah L. Hall; Yasin N. Silva (ASONAM, 2022)

HubISC: um novo algoritmo baseado em hubness para a classificação de fluxo de dados de imagens. - Mateus Curcino de Lima; Elaine R. Faria; Maria Camila Nardini Barioni (SBBD, 2022)

A method for analysis of human temperament in contrast to social network data. - Lara Mondini Martins; Cássio de Alcantara; Maria Camila Nardini Barioni; Luiz Carlos de Oliveira Júnior; Elaine Ribeiro de Faria (WebMedia, 2022)

Storing data once in M-trees and PM-trees: Revisiting the building principles of metric access methods. - Humberto Luiz Razente; Maria Camila Nardini Barioni; Yasin N. Silva (Inf. Syst., 2022)

A comprehensive analysis of the diverse aspects inherent to image data stream classification. - Mateus Curcino de Lima; Yan Stivaletti e Souza; Elaine R. Faria; Maria Camila Nardini Barioni (Knowl. Inf. Syst., 2022)

Diversity Similarity Join for Big Data. - Yasin N. Silva; Juan Martinez; Pedro Castro Cea; Humberto Luiz Razente; Maria Camila Nardini Barioni (SISAP, 2023)

Analysis of Temperament and Perception of Social Support for Online Social Networks. (Análise do Temperamento e Percepção do Suporte Social em Redes Sociais Online.) - Cássio de Alcantara; Elaine Ribeiro de Faria Paiva; Maria Camila Nardini Barioni; Luiz Carlos de Oliveira Júnior (Braz. J. Inf. Syst., 2024)

A robust hubness-based algorithm for image data stream classification. - Mateus Curcino de Lima; Elaine R. Faria; Maria Camila Nardini Barioni (Int. J. Data Sci. Anal., 2025)