A Density-Biased Sampling Technique to Improve Cluster Representativeness. - Ana Paula Appel; Adriano Arantes Paterlini; Elaine P. M. de Sousa; Agma J. M. Traina; Caetano Traina Jr. (PKDD, 2007)

Biased box sampling - a density-biased sampling for clustering. - Ana Paula Appel; Adriano Arantes Paterlini; Elaine P. M. de Sousa; Agma J. M. Traina; Caetano Traina Jr. (SAC, 2007)

ShatterPlots: Fast Tools for Mining Large Graphs. - Ana Paula Appel; Deepayan Chakrabarti; Christos Faloutsos; Ravi Kumar 001; Jure Leskovec; Andrew Tomkins (SDM, 2009)

Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations. - U Kang; Charalampos E. Tsourakakis; Ana Paula Appel; Christos Faloutsos; Jure Leskovec (SDM, 2010)

RDBMS as an Efficient Tool to Mine Cliques on Complex Networks. - Ana Paula Appel; Adriano Arantes Paterlini; Caetano Traina Jr. (J. Inf. Data Manag., 2010)

Methods to pre-processing and mining large volumes of multidimensional data and complex networks. - Ana Paula Appel (2010)

Graph Mining Techniques: Focusing on discriminating between real and synthetic graphs. - Ana Paula Appel; Christos Faloutsos; Caetano Traina Jr. (Graph Data Management, 2011)

Prophet - A Link-Predictor to Learn New Rules on NELL. - Ana Paula Appel; Estevam Rafael Hruschka Junior (ICDM Workshops, 2011)

Centaurs - a Component Based Framework to Mine Large Graphs. - Ana Paula Appel; Estevam Rafael Hruschka Junior (J. Inf. Data Manag., 2011)

HADI: Mining Radii of Large Graphs. - U Kang; Charalampos E. Tsourakakis; Ana Paula Appel; Christos Faloutsos; Jure Leskovec (ACM Trans. Knowl. Discov. Data, 2011)

Modeling and Storing Complex Network with Graph-Tree. - Adan Lucio Pereira; Ana Paula Appel (ADBIS Workshops, 2012)

Using Social Analytics for Studying Work-Networks: A Novel, Initial Approach. - Rogério Abreu de Paula; Ana Paula Appel; Claudio S. Pinhanez; Victor F. Cavalcante; Carolina S. Andrade (SBSC, 2012)

Characterizing Time-Bounded Incident Management Systems. - Victor F. Cavalcante; Claudio S. Pinhanez; Cleidson R. B. de Souza; Rogério Abreu de Paula; Ana Paula Appel; Carolina S. Andrade (SRII Global Conference, 2012)

GraphDB - Storing Large Graphs on Secondary Memory. - Lucas Fonseca Navarro; Ana Paula Appel; Estevam Rafael Hruschka Junior (ADBIS (2), 2013)

Reaction times for user behavior models in microblogging online social networks. - Samuel Martins Barbosa Neto; Maíra Athanázio de Cerqueira Gatti; Paulo Rodrigo Cavalin; Claudio Santos Pinhanez; Cícero Nogueira dos Santos; Ana Paula Appel (DUBMOD@CIKM, 2013)

Large-Scale Multi-agent-Based Modeling and Simulation of Microblogging-Based Online Social Network. - Maíra A. de C. Gatti; Paulo Rodrigo Cavalin; Samuel Martins Barbosa Neto; Claudio S. Pinhanez; Cícero Nogueira dos Santos; Daniel Gribel; Ana Paula Appel (MABS, 2013)

A simulation-based approach to analyze the information diffusion in Microblogging Online Social Network. - Maíra A. de C. Gatti; Ana Paula Appel; Cícero Nogueira dos Santos; Claudio Santos Pinhanez; Paulo Rodrigo Cavalin; Samuel Martins Barbosa Neto (WSC, 2013)

Autonomously reviewing and validating the knowledge base of a never-ending learning system. - Saulo D. de S. Pedro; Ana Paula Appel; Estevam R. Hruschka Jr. (WWW (Companion Volume), 2013)

Building Socially Connected Skilled Teams to Accomplish Complex Tasks. - Ana Paula Appel; Victor F. Cavalcante; Marcos R. Vieira; Vagner Figueredo de Santana; Rogério Abreu de Paula; Steven K. Tsukamoto (SNAKDD, 2014)

Finding Inference Rules Using Graph Mining in Ontological Knowledge Bases. - Lucas Fonseca Navarro; Estevam R. Hruschka Jr.; Ana Paula Appel (BRACIS, 2016)

Building a Question-Answering Corpus Using Social Media and News Articles. - Paulo Rodrigo Cavalin; Flavio Figueiredo; Maíra Gatti de Bayser; Luis Gregorio Moyano; Heloisa Candello; Ana Paula Appel; Renan Souza 001 (PROPOR, 2016)

Análise de Desempenho de Plataformas de Processamento de Grafos. - Daniel Nascimento Ramos da Silva; Klaus Wehmuth; Carla Osthoff; Ana Paula Appel; Artur Ziviani (SBBD, 2016)

Destiny: A Cognitive Mobile Guide for the Olympics. - Ana Paula Appel; Heloisa Candello; Beatriz Sonzzini Ribeiro de Souza; Bruna D. Andrade (WWW (Companion Volume), 2016)

GraPhys: Understanding Health Care Insurance Data through Graph Analytics. - Luis Gregorio Moyano; Ana Paula Appel; Vagner Figuerêdo de Santana; Márcia Ito; Thiago Donizetti dos Santos (WWW (Companion Volume), 2016)

Ontological Networks: Mapping Ontological Knowledge Bases into Graphs. - Lucas Fonseca Navarro; Estevam Rafael Hruschka Junior; Ana Paula Appel (WWW (Companion Volume), 2016)

Cognitive Computing: Where Big Data Is Driving Us. - Ana Paula Appel; Heloisa Candello; Fábio Latuf Gandour (Handbook of Big Data Technologies, 2017)

Link and Graph Mining in the Big Data Era. - Ana Paula Appel; Luis Gregorio Moyano (Handbook of Big Data Technologies, 2017)

Analysis of the Existence of Patient Care Team Using Social Network Methods in Physician Communities from Healthcare Insurance Companies. - Márcia Ito; Ana Paula Appel; Vagner Figueredo de Santana; Luis Gregorio Moyano (MedInfo, 2017)

Temporally Evolving Community Detection and Prediction in Content-Centric Networks. - Ana Paula Appel; Renato Luiz de Freitas Cunha; Charu C. Aggarwal; Marcela Megumi Terakado (ECML/PKDD (2), 2018)

Revealing Physicians Referrals from Health Insurance Claims Data. - Vagner Figueredo de Santana; Ana Paula Appel; Luis Gregorio Moyano; Márcia Ito; Claudio Santos Pinhanez (Big Data Res., 2018)

A Social Network Analysis Framework for Modeling Health Insurance Claims Data. - Ana Paula Appel; Vagner Figuerêdo de Santana; Luis Gregorio Moyano; Márcia Ito; Claudio Santos Pinhanez (CoRR, 2018)

Combining Textual Content and Structure to Improve Dialog Similarity. - Ana Paula Appel; Paulo Rodrigo Cavalin; Marisa Affonso Vasconcelos; Claudio Santos Pinhanez (CoRR, 2018)

GrAPL Keynote 3. - Ana Paula Appel (IPDPS Workshops, 2019)

Optimize Cash Collection: Use Machine learning to Predicting Invoice Payment. - Ana Paula Appel; Victor Oliveira; Bruno Lima; Gabriel Louzada Malfatti; Vagner Figueredo de Santana; Rogério de Paula (CoRR, 2019)

Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes. - Paulo R. Cavalin; Victor Henrique Alves Ribeiro; Ana Paula Appel; Claudio S. Pinhanez (EMNLP (1), 2020)

Predicting Account Receivables with Machine Learning. - Ana Paula Appel; Gabriel Louzada Malfatti; Renato Luiz de Freitas Cunha; Bruno Lima; Rogério de Paula (CoRR, 2020)

Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms. - Claudio S. Pinhanez; Paulo R. Cavalin; Victor Henrique Alves Ribeiro; Heloisa Candello; Julio Nogima; Ana Paula Appel; Mauro Pichiliani; Maíra Gatti de Bayser; Melina Alberio Guerra; Henrique Ferreira; Gabriel Louzada Malfatti (CoRR, 2020)

Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems. - Claudio S. Pinhanez; Paulo Rodrigo Cavalin; Victor Henrique Alves Ribeiro; Ana Paula Appel; Heloisa Candello; Julio Nogima; Mauro Pichiliani; Melina Alberio Guerra; Maíra de Bayser; Gabriel Louzada Malfatti; Henrique Ferreira (ACL/IJCNLP (1), 2021)

Integrating Machine Learning Data with Symbolic Knowledge from Collaboration Practices of Curators to Improve Conversational Systems. - Claudio Santos Pinhanez; Heloisa Candello; Paulo Rodrigo Cavalin; Mauro Carlos Pichiliani; Ana Paula Appel; Victor Henrique Alves Ribeiro; Julio Nogima; Maíra Gatti de Bayser; Melina Alberio Guerra; Henrique Ferreira; Gabriel Louzada Malfatti (CHI, 2021)

Item Matching using Text Description and Similarity Search. - Ana Paula Appel; Anderson Luis de Paula Silva; Adriana Reigota Silva; Caique Dutra Santos; Thiago Logo da Silva; Rafael Poggi de Araujo; Luiz Carlos Faray de Aquino (CoRR, 2022)