Ana Paula Appel

Orcid: 0000-0003-0413-4447

According to our database1, Ana Paula Appel authored at least 40 papers between 2007 and 2022.

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Bibliography

2022
Item Matching using Text Description and Similarity Search.
CoRR, 2022

2021
Integrating Machine Learning Data with Symbolic Knowledge from Collaboration Practices of Curators to Improve Conversational Systems.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms.
CoRR, 2020

Predicting Account Receivables with Machine Learning.
CoRR, 2020

Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Optimize Cash Collection: Use Machine learning to Predicting Invoice Payment.
CoRR, 2019

GrAPL Keynote 3.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2018
Combining Textual Content and Structure to Improve Dialog Similarity.
CoRR, 2018

A Social Network Analysis Framework for Modeling Health Insurance Claims Data.
CoRR, 2018

Revealing Physicians Referrals from Health Insurance Claims Data.
Big Data Res., 2018

Temporally Evolving Community Detection and Prediction in Content-Centric Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017
Analysis of the Existence of Patient Care Team Using Social Network Methods in Physician Communities from Healthcare Insurance Companies.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Link and Graph Mining in the Big Data Era.
Proceedings of the Handbook of Big Data Technologies, 2017

Cognitive Computing: Where Big Data Is Driving Us.
Proceedings of the Handbook of Big Data Technologies, 2017

2016
Ontological Networks: Mapping Ontological Knowledge Bases into Graphs.
Proceedings of the 25th International Conference on World Wide Web, 2016

GraPhys: Understanding Health Care Insurance Data through Graph Analytics.
Proceedings of the 25th International Conference on World Wide Web, 2016

Destiny: A Cognitive Mobile Guide for the Olympics.
Proceedings of the 25th International Conference on World Wide Web, 2016

Análise de Desempenho de Plataformas de Processamento de Grafos.
Proceedings of the 31º Simpósio Brasileiro de Banco de Dados, 2016

Building a Question-Answering Corpus Using Social Media and News Articles.
Proceedings of the Computational Processing of the Portuguese Language, 2016

Finding Inference Rules Using Graph Mining in Ontological Knowledge Bases.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2014
Building Socially Connected Skilled Teams to Accomplish Complex Tasks.
Proceedings of the 8th Workshop on Social Network Mining and Analysis, 2014

2013
Autonomously reviewing and validating the knowledge base of a never-ending learning system.
Proceedings of the 22nd International World Wide Web Conference, 2013

A simulation-based approach to analyze the information diffusion in Microblogging Online Social Network.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Large-Scale Multi-agent-Based Modeling and Simulation of Microblogging-Based Online Social Network.
Proceedings of the Multi-Agent-Based Simulation XIV - International Workshop, 2013

Reaction times for user behavior models in microblogging online social networks.
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, 2013

GraphDB - Storing Large Graphs on Secondary Memory.
Proceedings of the New Trends in Databases and Information Systems, 2013

2012
Characterizing Time-Bounded Incident Management Systems.
Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

Using Social Analytics for Studying Work-Networks: A Novel, Initial Approach.
Proceedings of the 2012 Brazilian Symposium on Collaborative Systems, 2012

Modeling and Storing Complex Network with <i>Graph-Tree</i>.
Proceedings of the New Trends in Databases and Information Systems, 2012

2011
HADI: Mining Radii of Large Graphs.
ACM Trans. Knowl. Discov. Data, 2011

Centaurs - a Component Based Framework to Mine Large Graphs.
J. Inf. Data Manag., 2011

Prophet - A Link-Predictor to Learn New Rules on NELL.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Graph Mining Techniques: Focusing on discriminating between real and synthetic graphs.
Proceedings of the Graph Data Management: Techniques and Applications., 2011

2010
Methods to pre-processing and mining large volumes of multidimensional data and complex networks.
PhD thesis, 2010

RDBMS as an Efficient Tool to Mine Cliques on Complex Networks.
J. Inf. Data Manag., 2010

Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations.
Proceedings of the SIAM International Conference on Data Mining, 2010

2009
ShatterPlots: Fast Tools for Mining Large Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

2007
Biased box sampling - a density-biased sampling for clustering.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

A Density-Biased Sampling Technique to Improve Cluster Representativeness.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007


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