Uma abordagem para o rastreamento da interaçao do usuário com aplicações interativas web. - Adriano Rivolli; Diogo A. Marinho; Luciano T. E. Pansanato (WebMedia, 2008)

WAUTT: uma ferramenta para o rastreamento da interação do usuário com aplicações interativas web. - Adriano Rivolli; Diogo A. Marinho; Luciano T. E. Pansanato (WebMedia (Companion), 2008)

An Analysis of Rules-based Systems to Improve SWRL Tools. - Adriano Rivolli; João Paulo Orlando; Dilvan A. Moreira (ICEIS (4), 2011)

SWRL Rule Editor - A Web Application as Rich as Desktop Business Rule Editors. - João Paulo Orlando; Adriano Rivolli; Saeed Hassanpour; Martin J. O'Connor; Amar K. Das; Dilvan A. Moreira (ICEIS (2), 2012)

Food Truck Recommendation Using Multi-label Classification. - Adriano Rivolli; Larissa C. Parker; André C. P. L. F. de Carvalho (EPIA, 2017)

Label Expansion for Multi-label Classification. - Adriano Rivolli; Carlos Soares; André C. P. L. F. de Carvalho (BRACIS, 2018)

Machine Learning for Drugs Prescription. - Pedro Oliveira da Silva; Adriano Rivolli; Pedro Rocha; Francisco Correia; Carlos Soares (IDEAL (1), 2018)

Towards Reproducible Empirical Research in Meta-Learning. - Adriano Rivolli; Luís Paulo F. Garcia; Carlos Soares; Joaquin Vanschoren; André C. P. L. F. de Carvalho (CoRR, 2018)

Enhancing multilabel classification for food truck recommendation. - Adriano Rivolli; Carlos Soares; André C. P. L. F. de Carvalho (Expert Syst. J. Knowl. Eng., 2018)

The utiml Package: Multi-label Classification in R. - Adriano Rivolli; André C. P. L. F. de Carvalho (R J., 2018)

KnowBots: Discovering Relevant Patterns in Chatbot Dialogues. - Adriano Rivolli; Catarina Amaral; Luís Guardão; Cláudio Rebelo de Sá; Carlos Soares (DS, 2019)

Boosting meta-learning with simulated data complexity measures. - Luís Paulo F. Garcia; Adriano Rivolli; Edesio Alcobaça; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Intell. Data Anal., 2020)

MFE: Towards reproducible meta-feature extraction. - Edesio Alcobaça; Felipe Siqueira; Adriano Rivolli; Luís Paulo F. Garcia; Jefferson Tales Oliva; André C. P. L. F. de Carvalho (J. Mach. Learn. Res., 2020)

An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. - Adriano Rivolli; Jesse Read; Carlos Soares; Bernhard Pfahringer; André C. P. L. F. de Carvalho (Mach. Learn., 2020)

Learning Abstract Task Representations. - Mikhail M. Meskhi; Adriano Rivolli; Rafael G. Mantovani; Ricardo Vilalta (MetaDL@AAAI, 2021)

Evaluating Clustering Meta-features for Classifier Recommendation. - Luís Paulo F. Garcia; Felipe Campelo; Guilherme Novaes Ramos; Adriano Rivolli; André C. P. L. F. de Carvalho (BRACIS (1), 2021)

A Study of the Correlation of Metafeatures Used for Metalearning. - Adriano Rivolli; Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IWANN (1), 2021)

Meta-features for meta-learning. - Adriano Rivolli; Luís Paulo F. Garcia; Carlos Soares; Joaquin Vanschoren; André C. P. L. F. de Carvalho (Knowl. Based Syst., 2022)

Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification. - Daniela L. Freire; Alex Marino Gonçalves de Almeida; Márcio de Souza Dias; Adriano Rivolli; Fabíola S. F. Pereira; Giliard Almeida de Godoi; André C. P. L. F. de Carvalho (HAIS, 2023)

Threshold-Based Classification to Enhance Confidence in Open Set of Legal Texts. - Daniela L. Freire; Alex Marino Gonçalves de Almeida; Márcio de Souza Dias; Adriano Rivolli; Fabíola S. F. Pereira; Giliard Almeida de Godoi; André C. P. L. F. de Carvalho (IDEAL, 2023)

An Instance Level Analysis of Classification Difficulty for Unlabeled Data. - Patricia S. M. Ueda; Adriano Rivolli; Ana Carolina Lorena (BRACIS (1), 2024)

A review on preprocessing algorithm selection with meta-learning. - Pedro B. Pio; Adriano Rivolli; André C. P. L. F. de Carvalho; Luís Paulo F. Garcia (Knowl. Inf. Syst., 2024)