Quantitative Analysis of Strategies for Streaming Media Distribution. - Marisa A. Vasconcelos; Leonardo Chaves Dutra da Rocha; Juliano de C. Santos; José Ismael Jr.; Leonardo L. P. da Mata; Jussara M. Almeida; Wagner Meira Jr.; Virgílio A. F. Almeida (LA-WEB, 2003)

A characterization of broadband user behavior and their e-business activities. - Humberto T. Marques-Neto; Jussara M. Almeida; Leonardo Chaves Dutra da Rocha; Wagner Meira Jr.; Pedro Henrique Calais Guerra; Virgílio A. F. Almeida (SIGMETRICS Perform. Evaluation Rev., 2004)

AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs. - Luís Fabrício Wanderley Góes; Pedro Henrique Calais Guerra; Bruno Coutinho; Leonardo Rocha 001; Wagner Meira Jr.; Renato Ferreira 001; Dorgival Olavo Guedes Neto; Walfredo Cirne (JSSPP, 2005)

Caracterizando desafios de interação com sistemas de mineração de regras de associação. - Elisa Tuler; Raquel O. Prates; Fernando Almir; Leonardo Rocha 001; Wagner Meira Jr. (IHC, 2006)

Characterization of Online Auctions: Correlating Negotiation Patterns and Bidding Behavior. - Adriano C. M. Pereira; Leonardo Rocha 001; Fernando Mourão; Wagner Meira Jr.; Paulo B. Góes (LA-WEB, 2007)

Analyzing ebay Negotiation Patterns. - Adriano C. M. Pereira; Leonardo Rocha 001; Fernando Mourão; T. Torres; Wagner Meira Jr.; Paulo B. Góes (WEBIST (3), 2007)

Exploiting temporal contexts in text classification. - Leonardo Rocha 001; Fernando Mourão; Adriano C. M. Pereira; Marcos André Gonçalves; Wagner Meira Jr. (CIKM, 2008)

Evaluating Longitudinal Aspects of Online Bidding Behavior. - Leonardo Rocha 001; Adriano C. M. Pereira; Fernando Mourão; Arlei Silva; Wagner Meira Jr.; Paulo B. Góes (WEBIST (2), 2008)

Reactivity in Online Auctions: Understanding Bidding Behavior through Reactive Transitions. - Adriano C. M. Pereira; Leonardo Rocha 001; Fernando Mourão; Wagner Meira Jr.; Paulo B. Góes (CEC/EEE, 2008)

Understanding temporal aspects in document classification. - Fernando Mourão; Leonardo Rocha 001; Renata Braga Araújo; Thierson Couto; Marcos André Gonçalves; Wagner Meira Jr. (WSDM, 2008)

Exploiting contexts to deal with uncertainty in classification. - Bianca Zadrozny; Gisele L. Pappa; Wagner Meira Jr.; Marcos André Gonçalves; Leonardo Rocha 001; Thiago Salles (KDD Workshop on Knowledge Discovery from Uncertain Data, 2009)

Classificação Automática de Documentos Robusta Temporalmente. - Thiago Salles; Leonardo Rocha 001; Gisele L. Pappa; Fernando Mourão; Marcos André Gonçalves; Wagner Meira Jr. (SBBD, 2009)

Quantifying the Impact of Information Aggregation on Complex Networks: A Temporal Perspective. - Fernando Mourão; Leonardo Rocha 001; Lucas C. O. Miranda; Virgílio A. F. Almeida; Wagner Meira Jr. (WAW, 2009)

Reactivity based model to study online auctions dynamics. - Adriano C. M. Pereira; Leonardo Rocha 001; Fernando Mourão; Paulo B. Góes; Wagner Meira Jr. (Inf. Technol. Manag., 2009)

Uso de contextos temporais para classificação de documentos. - Leonardo Chaves Dutra da Rocha (2009)

Temporally-aware algorithms for document classification. - Thiago Salles; Leonardo Rocha 001; Gisele L. Pappa; Fernando Mourão; Wagner Meira Jr.; Marcos André Gonçalves (SIGIR, 2010)

Automatic Document Classification Temporally Robust. - Thiago Salles; Leonardo Rocha 001; Fernando Mourão; Gisele L. Pappa; Lucas Cunha; Marcos André Gonçalves; Wagner Meira Jr. (J. Inf. Data Manag., 2010)

A Characterization Methodology of Evolutionary Behavior in Recommender Systems. - Alan Cardoso; Daniel Rocha; Rafael Sachetto Oliveira; Leonardo Rocha 001; Fernando Mourão; Wagner Meira Jr. (WEBIST, 2011)

Word co-occurrence features for text classification. - Fábio Figueiredo; Leonardo Rocha 001; Thierson Couto; Thiago Salles; Marcos André Gonçalves; Wagner Meira Jr. (Inf. Syst., 2011)

Tackling Temporal Effects in Automatic Document Classification. - Thiago Salles; Thiago N. C. Cardoso; Vitor Campos de Oliveira; Leonardo Rocha 001; Marcos André Gonçalves (J. Inf. Data Manag., 2011)

Aggressive and effective feature selection using genetic programming. - Isac Sandin; Guilherme Andrade; Felipe Viegas; Daniel Madeira; Leonardo Rocha 001; Thiago Salles; Marcos André Gonçalves (IEEE Congress on Evolutionary Computation, 2012)

HASCH: High Performance Automatic Spell Checker for Portuguese Texts from the Web. - Guilherme Andrade; Felipe Teixeira; Carolina Ribeiro Xavier; Rafael Sachetto Oliveira; Leonardo Rocha 001; Alexandre G. Evsukoff (ICCS, 2012)

G-DBSCAN: A GPU Accelerated Algorithm for Density-based Clustering. - Guilherme Andrade; Gabriel Spada Ramos; Daniel Madeira; Rafael Sachetto Oliveira; Renato Ferreira 001; Leonardo Rocha 001 (ICCS, 2013)

Exploiting non-content preference attributes through hybrid recommendation method. - Fernando Mourão; Leonardo Rocha 001; Joseph A. Konstan; Wagner Meira Jr. (RecSys, 2013)

GPU-NB: A Fast CUDA-Based Implementation of Naïve Bayes. - Guilherme Andrade; Felipe Viegas; Gabriel Spada Ramos; Jussara M. Almeida; Leonardo Chaves Dutra da Rocha; Marcos André Gonçalves; Renato Ferreira 001 (SBAC-PAD, 2013)

Temporal contexts: Effective text classification in evolving document collections. - Leonardo Rocha 001; Fernando Mourão; Hilton de Oliveira Mota; Thiago Salles; Marcos André Gonçalves; Wagner Meira Jr. (Inf. Syst., 2013)

On Efficient Meta-Level Features for Effective Text Classification. - Sérgio D. Canuto; Thiago Salles; Marcos André Gonçalves; Leonardo Rocha 001; Gabriel Spada Ramos; Luiz Gonçalves 001; Thierson Couto Rosa; Wellington Santos Martins (CIKM, 2014)

A Strategy to Workload Division for Massively Particle-Particle N-body Simulations on GPUs. - Daniel Madeira; José Ricardo da S. Junior; Diego H. Stalder; Leonardo Rocha 001; Reinaldo R. Rosa; Otton T. Silveira Filho; Esteban Clua (ICCSA (6), 2014)

Efficient dynamic scheduling of heterogeneous applications in hybrid architectures. - Guilherme Andrade; Gabriel Spada Ramos; Daniel Madeira; Rafael Sachetto Oliveira; Esteban Clua; Renato Ferreira 001; Leonardo Rocha 001 (SAC, 2014)

LEGi: context-aware lexicon consolidation by graph inspection. - Giovanni Sá; Thiago Silveira; Rodrigo Chaves; Felipe Teixeira; Fernando Mourão; Leonardo Rocha 001 (SAC, 2014)

Efficient Execution of Microscopy Image Analysis on CPU, GPU, and MIC Equipped Cluster Systems. - Guilherme Andrade; Renato Ferreira 001; George Teodoro; Leonardo Rocha 001; Joel H. Saltz; Tahsin M. Kurç (SBAC-PAD, 2014)

Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification. - Felipe Viegas; Marcos André Gonçalves; Wellington Martins; Leonardo Rocha 001 (CIKM, 2015)

Quantifying Complementarity among Strategies for Influeners' Detection on Twitter1. - Alan Neves; Ramon Vieira; Fernando Mourão; Leonardo Rocha 001 (ICCS, 2015)

A Framework for Migrating Relational Datasets to NoSQL1. - Leonardo Rocha 001; Fernando Vale; Elder Cirilo; Dárlinton Barbosa; Fernando Mourão (ICCS, 2015)

G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN. - Leonardo Rocha 001; Gabriel Spada Ramos; Rodrigo Chaves; Rafael Sachetto Oliveira; Daniel Madeira; Felipe Viegas; Guilherme Andrade; Sérgio Daniel; Marcos André Gonçalves; Renato Ferreira 001 (SAC, 2015)

BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification. - Thiago Salles; Marcos André Gonçalves; Victor Rodrigues; Leonardo Rocha 001 (SIGIR, 2015)

SACI: Sentiment analysis by collective inspection on social media content. - Leonardo Rocha 001; Fernando Mourão; Thiago Silveira; Rodrigo Chaves; Giovanni Sá; Felipe Teixeira; Ramon Vieira; Renato Ferreira 001 (J. Web Semant., 2015)

Connecting Opinions to Opinion-Leaders: A Case Study on Brazilian Political Protests. - Leonardo Rocha 001; Fernando Mourão; Ramon Vieira; Alan Neves; Dárlinton B. F. Carvalho; Bortik Bandyopadhyay; Srinivasan Parthasarathy 001; Renato Ferreira 001 (DSAA, 2016)

ParallelME: A Parallel Mobile Engine to Explore Heterogeneity in Mobile Computing Architectures. - Guilherme Andrade; Wilson de Carvalho; Renato Utsch; Pedro Caldeira; Alberto Albuquerque; Fabricio Ferracioli; Leonardo Rocha 001; Michael Frank 008; Dorgival O. Guedes; Renato Ferreira 001 (Euro-Par, 2016)

Hierarchical Density-Based Clustering based on GPU Accelerated Data Indexing Strategy. - Danilo Melo; Sávyo Toledo; Fernando Mourão; Rafael Sachetto Oliveira; Guilherme Andrade; Renato Ferreira 001; Srinivasan Parthasarathy 001; Leonardo Rocha 001 (ICCS, 2016)

D-STHARk: Evaluating Dynamic Scheduling of Tasks in Hybrid Simulated Architectures. - Leonardo Rocha 001; Fernando Mourão; Guilherme Andrade; Renato Ferreira 001; Srinivasan Parthasarathy 001; Danilo Melo; Sávyo Toledo; Aniket Chakrabarti (ICCS, 2016)

A quantitative analysis of the temporal effects on automatic text classification. - Thiago Salles; Leonardo Rocha 001; Marcos André Gonçalves; Jussara M. Almeida; Fernando Mourão; Wagner Meira Jr.; Felipe Viegas (J. Assoc. Inf. Sci. Technol., 2016)

Devising a computational model based on data mining techniques to predict concrete compressive strength. - Daniel Alencar; Dárlinton B. F. Carvalho; Eduardus Koenders; Fernando Mourão; Leonardo Rocha 001 (ICCS, 2017)

A Framework for Direct and Transparent Data Exchange of Filter-stream Applications in Multi-GPUs Architectures. - Gabriel Spada Ramos; Guilherme Andrade; Rafael Sachetto Oliveira; Daniel Madeira; Renan Carvalho; Renato Ferreira 001; Fernando Mourão; Leonardo Rocha 001 (ICCS, 2017)

A framework for unexpectedness evaluation in recommendation. - Thiago Silveira; Leonardo Rocha 001; Fernando Mourão; Marcos André Gonçalves (SAC, 2017)

Exploring Heterogeneous Mobile Architectures with a High-Level Programming Model. - Wilson de Carvalho Moreira; Guilherme Andrade; Pedro Henrique Moreira Caldeira; Renato Utsch Goncalves; Renato Antônio Celso Ferreira; Leonardo C. da Rocha; Renan de Carvalho Sousa; Millas Nasser Ramsses Avelar (SBAC-PAD, 2017)

Characterizing User Behavior and Items in Multimedia Streaming Services. - Diego Carvalho 002; Nícollas Silva; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2017)

Evaluating Different Strategies to Mitigate the Ramp-up Problem in Recommendation Domains. - Nícollas Silva; Diego Carvalho 002; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (WebMedia, 2017)

What surprises does your past have for you? - Fernando Mourão; Leonardo Rocha 001; Camila Souza Araujo; Wagner Meira Jr.; Joseph A. Konstan (Inf. Syst., 2017)

A Two-Stage Machine learning approach for temporally-robust text classification. - Thiago Salles; Leonardo Rocha 001; Fernando Mourão; Marcos André Gonçalves; Felipe Viegas; Wagner Meira Jr. (Inf. Syst., 2017)

Non-personalized Movie Recommendation by Maximum k-Coverage. - Nícollas Silva; Diego Carvalho 002; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (J. Inf. Data Manag., 2017)

Semantically-Enhanced Topic Modeling. - Felipe Viegas; Washington Luiz; Christian Gomes; Amir Khatibi; Sérgio D. Canuto; Fernando Mourão; Thiago Salles; Leonardo Rocha 001; Marcos André Gonçalves (CIKM, 2018)

Evaluating Dynamic Scheduling of Tasks in Mobile Architectures Using ParallelME Framework. - Rodrigo Carvalho 002; Guilherme Andrade; Diogo Santana; Thiago Silveira; Daniel Madeira; Rafael Sachetto Oliveira; Renato Ferreira 001; Leonardo Rocha 001 (ICCS (3), 2018)

Combining Data Mining Techniques to Enhance Cardiac Arrhythmia Detection. - Christian Gomes; Alan Cardoso; Thiago Silveira; Diego Dias 001; Elisa Tuler; Renato Ferreira 001; Leonardo Rocha 001 (ICCS (2), 2018)

FAiR: A Framework for Analyses and Evaluations on Recommender Systems. - Diego Carvalho 002; Nícollas Silva; Thiago Silveira; Fernando Mourão; Adriano C. M. Pereira; Diego Dias 001; Leonardo Rocha 001 (ICCSA (3), 2018)

Please please me: does the presence of test cases influence mobile app users' satisfaction? - Vinicius H. S. Durelli; Rafael Serapilha Durelli; André Takeshi Endo; Elder Cirilo; Washington Luiz; Leonardo Rocha 001 (SBES, 2018)

Understanding Users-Contents Interaction in Non-Linear Multimedia Streaming Services. - Diego Carvalho 002; Nícollas Silva; Alan Cardoso; Elverton C. Fazzion; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2018)

A Feature-Oriented Sentiment Rating for Mobile App Reviews. - Washington Luiz; Felipe Viegas; Rafael Odon de Alencar; Fernando Mourão; Thiago Salles; Dárlinton B. F. Carvalho; Marcos André Gonçalves; Leonardo Rocha 001 (WWW, 2018)

A Genetic Programming approach for feature selection in highly dimensional skewed data. - Felipe Viegas; Leonardo Rocha 001; Marcos André Gonçalves; Fernando Mourão; Giovanni Sá; Thiago Salles; Guilherme Andrade; Isac Sandin (Neurocomputing, 2018)

Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification. - Felipe Viegas; Leonardo Rocha 001; Elaine Resende; Thiago Salles; Wellington Martins; Mateus Ferreira e Freitas; Marcos André Gonçalves (Neurocomputing, 2018)

Improving random forests by neighborhood projection for effective text classification. - Thiago Salles; Marcos André Gonçalves; Victor Rodrigues; Leonardo Rocha 001 (Inf. Syst., 2018)

NetClass: A network-based relational model for document classification. - Fernando Mourão; Leonardo Rocha 001; Felipe Viegas; Thiago Salles; Marcos André Gonçalves; Srinivasan Parthasarathy 001; Wagner Meira Jr. (Inf. Sci., 2018)

A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains. - Diego Carvalho 002; Nícollas Silva; Tiago Trotta; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (CEC, 2019)

Efficient Parallel Associative Classification Based on Rules Memoization. - Michel Pires; Nícollas Silva; Leonardo Rocha 001; Wagner Meira Jr.; Renato Ferreira 001 (ICCS (4), 2019)

How to Compose Product Pages to Enhance the New Users' Interest in the Item Catalog? - Nícollas Silva; Diego Carvalho 002; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (ICCS (1), 2019)

Combining Data Mining Techniques for Evolutionary Analysis of Programming Languages. - Rafael Jose de Alencar Almeida; Vinicius Humberto Serapilha Durelli; Igor Campos Moraes; Matheus Carvalho Viana; Elverton Carvalho Fazzion; Dárlinton Barbosa Feres Carvalho; Diego Roberto Colombo Dias; Leonardo Chaves Dutra da Rocha (IRI, 2019)

ARKLib: An Augmented Reality Library for Applications using Kinect. - Danilo Melo Amaral; Leonardo Chaves Dutra da Rocha; Matheus Carvalho Viana; Marcelo de Paiva Guimarães; Diego Roberto Colombo Dias (SVR, 2019)

A data exploratory methodology to understand the users' interactions in nonlinear web multimedia services. - Diego Carvalho 002; Nícollas Silva; Alan Cardoso; Elverton C. Fazzion; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2019)

A characterization methodology for candidates and recruiters interaction in online recruitment services. - Alan Cardoso; Fernando Mourão; Leonardo Rocha 001 (WebMedia, 2019)

Geographic-categorical diversification in POI recommendations. - Rodrigo Carvalho 002; Nícollas Silva; Luiz Chaves; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2019)

Exploiting the user activity-level to improve the models' accuracy in point-of-interest recommender systems. - Luiz Chaves; Nícollas Silva; Rodrigo Carvalho 002; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2019)

CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling. - Felipe Viegas; Sérgio D. Canuto; Christian Gomes; Washington Luiz; Thierson Rosa; Sabir Ribas; Leonardo Rocha 001; Marcos André Gonçalves (WSDM, 2019)

The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains. - Nícollas Silva; Diego Carvalho 002; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (Inf. Syst., 2019)

CluHTM - Semantic Hierarchical Topic Modeling based on CluWords. - Felipe Viegas; Washington Cunha; Christian Gomes; Antônio Pereira De Souza Júnior; Leonardo Rocha 001; Marcos André Gonçalves (ACL, 2020)

"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification. - Luiz Felipe Mendes; Marcos André Gonçalves; Washington Cunha; Leonardo Rocha 001; Thierson Couto Rosa; Wellington Martins (CIKM, 2020)

How to Improve the Recommendation's Accuracy in POI Domains? - Luiz Chaves; Nícollas Silva; Rodrigo Carvalho 002; Adriano C. M. Pereira; Diego Roberto Colombo Dias; Leonardo Rocha 001 (ICCSA (1), 2020)

An Evaluation of Low-Quality Content Detection Strategies: Which Attributes Are Still Relevant, Which Are Not? - Júlio Resende; Vinicius H. S. Durelli; Igor Campos Moraes; Nícollas Silva; Diego Roberto Colombo Dias; Leonardo Rocha 001 (ICCSA (1), 2020)

Creating an Academic Conversational Agent for Dynamic Information Retrieval. - João Augusto da Cruz; Millas Nasser; Elisa Tuler; Dárlinton B. F. Carvalho; Leonardo Rocha 001; Matheus Carvalho Viana (SBSI, 2020)

Mitigating Matching Scarcity in Recruitment Recommendation Domains. - Alan Cardoso; Fernando Mourão; Leonardo Rocha 001 (WebMedia, 2020)

The impact of first recommendations based on exploration or exploitation approaches in recommender systems' learning. - Thiago Silva; Nícollas Silva; Heitor Werneck; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2020)

Combining complementary diversification models for personalized POI recommendations. - Heitor Werneck; Nícollas Silva; Fernando Mourão; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2020)

A Survey on Point-of-Interest Recommendation in Location-based Social Networks. - Heitor Werneck; Nícollas Silva; Matheus Carvalho Viana; Fernando Mourão; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2020)

Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling. - Washington Cunha; Sérgio D. Canuto; Felipe Viegas; Thiago Salles; Christian Gomes; Vítor Mangaravite; Elaine Resende; Thierson Rosa; Marcos André Gonçalves; Leonardo Rocha 001 (Inf. Process. Manag., 2020)

Exploiting semantic relationships for unsupervised expansion of sentiment lexicons. - Felipe Viegas; Mário S. Alvim; Sérgio D. Canuto; Thierson Rosa; Marcos André Gonçalves; Leonardo Rocha 001 (Inf. Syst., 2020)

On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction. - Christian Gomes; Marcos André Gonçalves; Leonardo Rocha 001; Sérgio D. Canuto (ACL/IJCNLP (Findings), 2021)

Motion and Interaction Tracking Tool for Virtual Reality Environments. - Marcelo de Paiva Guimarães; Diego Roberto Colombo Dias; Leonardo Chaves Dutra da Rocha; Elvis Hernandes Ribeiro; Rogério Luiz Iope; José Remo Ferreira Brega (ICCSA (10), 2021)

An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches. - Antonio Pedro; Antônio Pereira De Souza Júnior; Pablo Cecilio; Nayara Pena; Felipe Viegas; Elisa Tuler; Diego Dias 001; Leonardo Rocha 001 (ICCSA (3), 2021)

StoryTracker: A Semantic-Oriented Tool for Automatic Tracking Events by Web Documents. - Welton Santos; Elverton Carvalho Fazzion; Elisa Tuler; Diego Dias 001; Marcelo de Paiva Guimarães; Leonardo Rocha 001 (ICCSA (3), 2021)

Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context. - Luis Guilherme Silva Rodrigues; Diego Roberto Colombo Dias; Marcelo de Paiva Guimarães; Alexandre Fonseca Brandao; Leonardo Rocha 001; Rogério Luiz Iope; José Remo Ferreira Brega (SVR, 2021)

ReBase: data acquisition and management system for neuromotor rehabilitation supported by virtual and augmented reality. - Tiago Trotta; Marcelo de Paiva Guimarães; Alexandre Fonseca Brandão; Leonardo Chaves Dutra da Rocha; Rogério Luiz Iope; José Remo Ferreira Brega; Diego Roberto Colombo Dias (SVR, 2021)

Upper Limb Motion Tracking and Classification: A Smartphone Approach. - Luis G. S. Rodrigues; Diego Roberto Colombo Dias; Marcelo de Paiva Guimarães; Alexandre Fonseca Brandão; Leonardo Chaves Dutra da Rocha; Rogério Luiz Iope; José Remo Ferreira Brega (WebMedia, 2021)

Semantically Time Tracking of Events from Web Documents. - Welton Santos; Elverton C. Fazzion; Diego Dias 001; Marcelo de Paiva Guimarães; Elisa Tuler; Leonardo Rocha 001 (WebMedia, 2021)

A contextual approach to improve the user's experience in interactive recommendation systems. - Nícollas Silva; Heitor Werneck; Thiago Silva; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2021)

A bias-variance analysis of state-of-the-art random forest text classifiers. - Thiago Salles; Leonardo Rocha 001; Marcos André Gonçalves (Adv. Data Anal. Classif., 2021)

The matching scarcity problem: When recommenders do not connect the edges in recruitment services. - Alan Cardoso; Fernando Mourão; Leonardo Rocha 001 (Expert Syst. Appl., 2021)

Effective and diverse POI recommendations through complementary diversification models. - Heitor Werneck; Rodrigo Santos; Nícollas Silva; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (Expert Syst. Appl., 2021)

On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study. - Washington Cunha; Vítor Mangaravite; Christian Gomes; Sérgio D. Canuto; Elaine Resende; Cecilia Nascimento; Felipe Viegas; Celso França; Wellington Santos Martins; Jussara M. Almeida; Thierson Rosa; Leonardo Rocha 001; et al. (Inf. Process. Manag., 2021)

Points of Interest recommendations: Methods, evaluation, and future directions. - Heitor Werneck; Nícollas Silva; Matheus Carvalho Viana; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (Inf. Syst., 2021)

C-Libras: A Gesture Recognition App for the Brazilian Sign Language. - Tiago Trotta; Leonardo Rocha 001; Telma Rosa de Andrade; Marcelo de Paiva Guimarães; Diego Roberto Colombo Dias (ICCSA (1), 2022)

A Stacking Recommender System Based on Contextual Information for Fashion Retails. - Heitor Werneck; Nícollas Silva; Carlos Mito; Adriano C. M. Pereira; Elisa Tuler; Diego Dias 001; Leonardo Rocha 001 (ICCSA (1), 2022)

iRec: An Interactive Recommendation Framework. - Thiago Silva; Nícollas Silva; Heitor Werneck; Carlos Mito; Adriano C. M. Pereira; Leonardo Rocha 001 (SIGIR, 2022)

Evaluating Topic Modeling Pre-processing Pipelines for Portuguese Texts. - Antônio Pereira De Souza Júnior; Pablo Cecilio; Felipe Viegas; Washington Cunha; Elisa Tuler de Albergaria; Leonardo Chaves Dutra da Rocha (WebMedia, 2022)

Correlating Historical Events and Cinematic Releases Using Web Information. - Brenno Lemos Melquiades Santos; Elisa Tuler de Albergaria; Diego Roberto Colombo Dias; Alexandre Bittencourt Pigozzo; Leonardo Chaves Dutra da Rocha (WebMedia, 2022)

Interactive POI Recommendation: applying a Multi-Armed Bandit framework to characterise and create new models for this scenario. - Thiago Silva; Nícollas Silva; Carlos Mito; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2022)

Introducing Contextual Information in an Ensemble Recommendation System for Fashion Domains. - Heitor Werneck; Nícollas Campos Silva; Carlos Masao Mito; Adriano César Machado Pereira; Diego Roberto Colombo Dias; Elisa Tuler de Albergaria; Leonardo Chaves Dutra da Rocha (WebMedia, 2022)

Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions. - Nícollas Silva; Heitor Werneck; Thiago Silva; Adriano C. M. Pereira; Leonardo Rocha 001 (Expert Syst. Appl., 2022)

A reproducible POI recommendation framework: Works mapping and benchmark evaluation. - Heitor Werneck; Nícollas Silva; Adriano C. M. Pereira; Matheus Carvalho Viana; Alejandro Bellogín; Jorge Martinez-Gil; Fernando Mourão; Leonardo Rocha 001 (Inf. Syst., 2022)

Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data. - André L. Zanon; Leonardo Chaves Dutra da Rocha; Marcelo Garcia Manzato (Knowl. Based Syst., 2022)

Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling. - Felipe Viegas; Antônio Pereira De Souza Júnior; Pablo Cecilio; Elisa Tuler; Wagner Meira Jr.; Marcos André Gonçalves; Leonardo Rocha 001 (Scientometrics, 2022)

Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data. - Luis Guilherme Silva Rodrigues; Diego Roberto Colombo Dias; Marcelo de Paiva Guimarães; Alexandre Fonseca Brandão; Leonardo C. da Rocha; Rogério Luiz Iope; José Remo Ferreira Brega (J. Interact. Syst., 2022)

Integrating Counterfactual Evaluations into Traditional Interactive Recommendation Frameworks. - Yan Andrade; Nícollas Campos Silva; Adriano C. M. Pereira; Elisa Tuler; Cleverson Vieira; Marcelo de Paiva Guimarães; Diego Dias 001; Leonardo Rocha 001 (ICCSA (1), 2023)

Automatic Features Extraction from the Optic Cup and Disc Segmentation for Glaucoma Classification. - Marcus Oliveira; Cleverson Vieira; Ana Paula De Filippo; Michel Carlo Rodrigues Leles; Diego Roberto Colombo Dias; Marcelo de Paiva Guimarães; Elisa Tuler; Leonardo Rocha 001 (ICCSA (1), 2023)

Uma Metodologia para Tratamento do Viés da Maioria em Modelos de Stacking via Identificação de Documentos Difíceis. - Welton Santos; Washington Cunha; Celso França; Guilherme Fonseca; Sérgio D. Canuto; Leonardo Rocha 001; Marcos André Gonçalves (SBBD, 2023)

An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification. - Washington Cunha; Celso França; Guilherme Fonseca; Leonardo Rocha 001; Marcos André Gonçalves (SIGIR, 2023)

Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems. - Nícollas Silva; Thiago Silva; Henrique Hott; Yan Ribeiro; Adriano C. M. Pereira; Leonardo Rocha 001 (SIGIR, 2023)

A Complete Framework for Offline and Counterfactual Evaluations of Interactive Recommendation Systems. - Yan Andrade; Nícollas Silva; Thiago Silva; Adriano C. M. Pereira; Diego Roberto Colombo Dias; Elisa Tuler de Albergaria; Leonardo Rocha 001 (WebMedia, 2023)

A Survey on Review - Aware Recommendation Systems. - Guilherme Bittencourt; Guilherme Fonseca; Yan Andrade; Nícollas Silva; Leonardo Rocha 001 (WebMedia, 2023)

Evaluating the Limits of the Current Evaluation Metrics for Topic Modeling. - Antônio Pereira De Souza Júnior; Felipe Viegas; Marcos André Gonçalves; Leonardo Rocha 001 (WebMedia, 2023)

CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts. - Felipe Viegas; Sérgio D. Canuto; Washington Cunha; Celso França; Cláudio Moisés Valiense de Andrade; Leonardo Rocha 001; Marcos André Gonçalves (WebMedia, 2023)

Applied Explainable Artificial Intelligence (XAI) in the classification of retinal images for support in the diagnosis of Glaucoma. - Cleverson Marques Vieira; Marcus Vinícius De Castro Oliveira; Marcelo de Paiva Guimarães; Leonardo Rocha 001; Diego Roberto Colombo Dias (WebMedia, 2023)

TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method. - Washington Cunha; Celso França; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2023)

Offline Metrics for Evaluating Explanation Goals in Recommender Systems. - André Levi Zanon; Marcelo Garcia Manzato; Leonardo Rocha 001 (CoRR, 2023)

A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification. - Washington Cunha; Felipe Viegas; Celso França; Thierson Rosa; Leonardo Rocha 001; Marcos André Gonçalves (ACM Comput. Surv., 2023)

On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!". - Cláudio Moisés Valiense de Andrade; Fabiano Belém; Washington Cunha; Celso França; Felipe Viegas; Leonardo Rocha 001; Marcos André Gonçalves (Inf. Process. Manag., 2023)

User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience. - Nícollas Silva; Thiago Silva; Heitor Werneck; Leonardo Rocha 001; Adriano C. M. Pereira (Trans. Recomm. Syst., 2023)

Convolutional neural networks applied to data organized as OLAP cubes. - Rodrigo Ribeiro Caputo; Edimilson Batista dos Santos; Leonardo Chaves Dutra da Rocha (Expert Syst. J. Knowl. Eng., 2023)

A Descriptive and Predictive Analysis Tool for Criminal Data: A Case Study from Brazil. - Yan Andrade; Matheus Pimenta; Gabriel Amarante; Antônio Hot Faria; Marcelo Vilas-Boas; João Paulo da Silva; Felipe Rocha; Jamicel da Silva; Wagner Meira Jr.; George Teodoro; Leonardo Rocha 001; Renato Ferreira 001 (ICCSA (2), 2024)

Identification of Malicious URLs: A Purely Lexical Approach. - Julio Rodrigues; Charles de Barros; Diego R. C. Dias; Marcelo de Paiva Guimarães; Elisa Tuler; Leonardo Rocha 001 (ICCSA (2), 2024)

ReBase: a framework for acquiring and managing body tracking data. - Tiago Trotta; Luis Rodrigues; José Remo Ferreira Brega; Marcelo Guimarães; Leonardo Rocha 001; Alexandre Fonseca Brandão; Diego R. C. Dias (SVR, 2024)

Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems. - André Levi Zanon; Leonardo Chaves Dutra da Rocha; Marcelo Garcia Manzato (xAI (2), 2024)

A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks. - Fabiano Belém; Washington Cunha; Celso França; Cláudio M. V. de Andrade; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2024)

PATopics: An automatic framework to extract useful information from pharmaceutical patents documents. - Pablo Cecilio; Antônio Perreira; Juliana Santos Rosa Viegas; Washington Cunha; Felipe Viegas; Elisa Tuler; Fabiana Testa Moura de Carvalho Vicentini; Leonardo Rocha 001 (CoRR, 2024)

A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification. - Cláudio M. V. de Andrade; Washington Cunha; Davi Reis; Adriana S. Pagano; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2024)

On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval. - Celso França; Rennan C. Lima; Cláudio M. V. de Andrade; Washington Cunha; Pedro O. S. Vaz de Melo; Berthier A. Ribeiro-Neto; Leonardo Rocha 001; Rodrygo L. T. Santos; Adriana S. Pagano; Marcos André Gonçalves (Neurocomputing, 2024)

Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method. - Felipe Viegas; Sérgio D. Canuto; Washington Cunha; Celso França; Cláudio M. V. de Andrade; Guilherme Fonseca; Ana Machado; Leonardo Rocha 001; Marcos André Gonçalves (J. Interact. Syst., 2024)

Large-scale response-aware online ANN search in dynamic datasets. - Guilherme Andrade; Willian Barreiros; Leonardo Rocha 001; Renato Ferreira 001; George Teodoro (Clust. Comput., 2024)

Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification. - Guilherme Fonseca; Washington Cunha; Gabriel Prenassi; Marcos André Gonçalves; Leonardo Chaves Dutra da Rocha (ACL (1), 2025)

A Strategy Utilizing an LLM and Augmented Reality for Handling the Missing Data: A Case Study Using Unity, Vuforia and ChatGPT. - Enio Vicente de Limas; Rita de Fátima Rodrigues Guimarães; Bianchi Serique Meiguins; Leonardo Chaves Dutra da Rocha; Diego Roberto Colombo Dias; Marcelo de Paiva Guimarães (ICCSA (Workshops 13), 2025)

A Body Tracking Framework for Neuromotor Rehabilitation with Multimedia Application Support. - Elvis Hernandes Ribeiro; Alexandre Fonseca Brandão; Marcelo Guimarães; Leonardo Rocha 001; José Remo Ferreira Brega; Rodolfo Villaça; Diego R. C. Dias (ICCSA (1), 2025)

Correlating Socioeconomic Factors and Syphilis Incidence: A Case Study in Brazil. - Matheus Tavares; Elias Mendes; Diego R. C. Dias; Elisa Tuler; Rodolfo Villaça; Marcelo de Paiva Guimarães; Leonardo Rocha 001 (ICCSA (2), 2025)

Optimizing Tail-Head Trade-off for Extreme Multi-Label Text Classification (XMTC) with RAG-Labels and a Dynamic Two-Stage Retrieval and Fusion Pipeline. - Celso França; Gestefane Rabbi; Thiago Salles; Washington Cunha; Leonardo Rocha 001; Marcos André Gonçalves (SIGIR, 2025)

Characterizing YouTube's Role in Online Gambling Promotion: A Case Study of Fortune Tiger in Brazil. - Jessica Costa; Geovana Oliveira; Guilherme Fonseca; Davi Reis; Giancarlo Oliveira Teixeira; Washington Cunha; Leonardo Rocha 001; Carlos H. G. Ferreira 001 (WebSci, 2025)

Exploring transparency: A comparative analysis of explainable artificial intelligence techniques in retinography images to support the diagnosis of glaucoma. - Cleverson Vieira; Leonardo Rocha 001; Marcelo de Paiva Guimarães; Diego R. C. Dias (Comput. Biol. Medicine, 2025)

"Are the current topic modeling evaluation metrics enough?" Mitigating the limitations of topic modeling evaluation metrics using a multi-perspective game theoretic approach. - Antônio Pereira; Felipe Viegas; Diego Roberto Colombo Dias; Elisa Tuler; Ana Cláudia Machado; Guilherme Fonseca; Marcos André Gonçalves; Leonardo Rocha 001 (Knowl. Based Syst., 2025)

Do Calibrated Recommendations Affect Explanations? A Study on Post-Hoc Adjustments. - Paul Dany Flores Atauchi; André Levi Zanon; Leonardo Chaves Dutra da Rocha; Marcelo Garcia Manzato (J. Interact. Syst., 2025)

A Noise-Oriented and Redundancy-Aware Instance Selection Framework. - Washington Cunha; Alejandro Moreo Fernández; Andrea Esuli; Fabrizio Sebastiani 001; Leonardo Rocha 001; Marcos André Gonçalves (ACM Trans. Inf. Syst., 2025)

A thorough benchmark of automatic text classification: From traditional approaches to large language models. - Washington Cunha; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2025)

CTDGSI: A comprehensive exploitation of instance selection methods for automatic text classification. VII Concurso de Teses, Dissertações e Trabalhos de Graduação em SI - XXI Simpósio Brasileiro de Sistemas de Informação. - Washington Cunha; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2025)

Ranking-based Fusion Algorithms for Extreme Multi-label Text Classification (XMTC). - Celso França; Gestefane Rabbi; Thiago Salles; Washington Cunha; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2025)

Tracing the 2024 U.S. election debate on Telegram with LLMs and graph analysis. - Giordano Paoletti; Carlos H. G. Ferreira 001; Luca Vassio; Leonardo Rocha 001; Jussara M. Almeida (Soc. Netw. Anal. Min., 2025)