Anísio Lacerda

According to our database, Anísio Lacerda authored at least 50 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PLUS: A Semi-automated Pipeline for Fraud Detection in Public Bids.

Michele A. Brandão, Arthur P. G. Reis, Bárbara M. A. Mendes, Clara A. Bacha, Gabriel P. Oliveira, Henrique R. Hott, Larissa D. Gomide, Lucas L. Costa, Mariana O. Silva, Anísio M. Lacerda, Gisele L. Pappa

Digit. Gov. Res. Pract., March, 2024

2023

Assessing Data Quality Inconsistencies in Brazilian Governmental Data.

Gabriel P. Oliveira, Bárbara M. A. Mendes, Clara A. Bacha, Lucas L. Costa, Larissa D. Gomide, Mariana O. Silva, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa

J. Inf. Data Manag., October, 2023

Mineração de Dados sobre Despesas Públicas de Municípios Mineiros para Gerar Alertas de Fraudes.

Larissa D. Gomide, Guilherme Bezerra dos Santos, Lucas L. Costa, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa

Proceedings of the 38th Brazilian Symposium on Databases, 2023

Impacto do Pré-processamento e Representação Textual na Classificação de Documentos de Licitações.

Michele A. Brandão, Mariana O. Silva, Gabriel P. Oliveira, Henrique R. Hott, Anísio M. Lacerda, Gisele L. Pappa

Proceedings of the 38th Brazilian Symposium on Databases, 2023

An Empirical Analysis of Vision Transformers Robustness to Spurious Correlations in Health Data.

Anísio Lacerda, Daniel Ayala, Francisco Malaguth, Fabio Kanadani

Proceedings of the International Joint Conference on Neural Networks, 2023

Algorithmic Recourse in Mental Healthcare.

Anísio Lacerda, Claudio Almeida, Leonardo Augusto Ferreira, Adriano C. M. Pereira, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco A. Romano-Silva, Leandro Malloy Diniz

Proceedings of the International Joint Conference on Neural Networks, 2023

Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain.

Henrique R. Hott, Mariana O. Silva, Gabriel P. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Explainable Regression Via Prototypes.

Renato Miranda Filho, Anísio M. Lacerda, Gisele L. Pappa

ACM Trans. Evol. Learn. Optim., 2022

Counterfactual inference with latent variable and its application in mental health care.

Guilherme F. Marchezini, Anísio M. Lacerda, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco A. Romano-Silva, Danielle S. Costa, Leandro Malloy Diniz

Data Min. Knowl. Discov., 2022

Collaboration as a Driving Factor for Hit Song Classification.

Mariana O. Silva, Gabriel P. Oliveira, Danilo B. Seufitelli, Anísio Lacerda, Mirella M. Moro

Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

Detecting Inconsistencies in Public Bids: An Automated and Data-based Approach.

Gabriel P. Oliveira, Arthur P. G. Reis, Felipe A. N. Freitas, Lucas L. Costa, Mariana O. Silva, Pedro Paulo Valadares Brum, Samuel E. L. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa

Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

Ferramentas open-source de qualidade de dados para licitações públicas: Uma análise comparativa.

Gabriel P. Oliveira, Arthur P. G. Reis, Bárbara M. A. Mendes, Clara A. Bacha, Lucas L. Costa, Gabriel L. Canguçu, Mariana O. Silva, Victor Caetano, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa

Proceedings of the 37th Brazilian Symposium on Databases, 2022

2021

Individualized extreme dominance (IndED): A new preference-based method for multi-objective recommender systems.

Reinaldo Silva Fortes, Daniel Xavier de Sousa, Dayanne Gouveia Coelho, Anísio Mendes Lacerda, Marcos André Gonçalves

Inf. Sci., 2021

Deep Thompson Sampling for Length of Stay Prediction.

Anísio Lacerda, Gisele L. Pappa

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis.

Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Luiz H. C. Merschmann, Gisele L. Pappa

ACM Trans. Intell. Syst. Technol., 2020

Detecting Collaboration Profiles in Success-based Music Genre Networks.

Gabriel P. Oliveira, Mariana Santos, Danilo B. Seufitelli, Anísio Lacerda, Mirella M. Moro

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Explaining Symbolic Regression Predictions.

Renato Miranda Filho, Anísio Lacerda, Gisele L. Pappa

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Multimodal approach for tension levels estimation in news videos.

Moisés H. R. Pereira, Flávio L. C. Pádua, Daniel Hasan Dalip, Fabrício Benevenuto, Adriano C. M. Pereira, Anísio M. Lacerda

Multim. Tools Appl., 2019

Multimodal data fusion framework based on autoencoders for top-N recommender systems.

Felipe L. A. Conceiç ao, Flávio L. C. Pádua, Anísio Lacerda, Adriano César Machado Pereira, Daniel Hasan Dalip

Appl. Intell., 2019

On Modeling Context from Objects with a Long Short-Term Memory for Indoor Scene Recognition.

Camila Laranjeira, Anísio Lacerda, Erickson R. Nascimento

Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

2018

A computational approach to support the creation of terminological neologisms in sign languages.

Celso Luiz de Souza, Flávio L. C. Pádua, Vera Lúcia de Souza e Lima, Anísio Lacerda, Carlos A. G. Carneiro

Comput. Appl. Eng. Educ., 2018

User-Oriented Objective Prioritization for Meta-Featured Multi-Objective Recommender Systems.

Reinaldo Silva Fortes, Anísio Lacerda, Alan R. R. de Freitas, Carlos Bruckner, Dayanne Gouveia Coelho, Marcos André Gonçalves

Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Multi-objective Evolutionary Rank Aggregation for Recommender Systems.

Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Gisele L. Pappa

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Exploiting Multiple Recommenders to Improve Group Recommendation.

Samuel E. L. Oliveira, Pedro Paulo Valadares Brum, Anísio Lacerda, Gisele L. Pappa

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

A video summarization approach based on the emulation of bottom-up mechanisms of visual attention.

Hugo Jacob, Flávio L. C. Pádua, Anísio Lacerda, Adriano C. M. Pereira

J. Intell. Inf. Syst., 2017

A general framework to expand short text for topic modeling.

Paulo Viana Bicalho, Marcelo Pita, Gabriel Pedrosa, Anísio Lacerda, Gisele L. Pappa

Inf. Sci., 2017

Multi-Objective Ranked Bandits for Recommender Systems.

Anísio Lacerda

Neurocomputing, 2017

A Majority Voting Approach for Sentiment Analysis in Short Texts using Topic Models.

Rodrigo Rodrigues do Carmo, Anísio Mendes Lacerda, Daniel Hasan Dalip

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017

A Robust Indoor Scene Recognition Method Based on Sparse Representation.

Guilherme Nascimento, Camila Laranjeira, Vinicius Braz, Anísio Lacerda, Erickson R. Nascimento

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

Automatic and online setting of similarity thresholds in content-based visual information retrieval problems.

Izaquiel L. Bessas, Flávio L. C. Pádua, Guilherme T. de Assis, Rodrigo T. N. Cardoso, Anísio Lacerda

EURASIP J. Adv. Signal Process., 2016

Evolutionary rank aggregation for recommender systems.

Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Gisele L. Pappa

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion.

Gabriel Pedrosa, Marcelo Pita, Paulo Viana Bicalho, Anísio Lacerda, Gisele L. Pappa

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

Improving daily deals recommendation using explore-then-exploit strategies.

Anísio Lacerda, Rodrygo L. T. Santos, Adriano Veloso, Nivio Ziviani

Inf. Retr. J., 2015

MeGASS: Multi-Objective Genetic Active Site Search.

Sandro C. Izidoro, Anísio M. Lacerda, Gisele L. Pappa

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Adding Value to Daily-Deals Recommendation: Multi-armed Bandits to Match Customers and Deals.

Anísio Lacerda, Adriano Veloso, Nivio Ziviani

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Contextual Bandits for Multi-objective Recommender Systems.

Anísio Lacerda

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014

Multiobjective Pareto-Efficient Approaches for Recommender Systems.

Marco Túlio Ribeiro, Nivio Ziviani, Edleno Silva de Moura, Itamar Hata, Anísio Lacerda, Adriano Veloso

ACM Trans. Intell. Syst. Technol., 2014

Context-Aware Deal Size Prediction.

Anísio Lacerda, Adriano Veloso, Rodrygo L. T. Santos, Nivio Ziviani

Proceedings of the String Processing and Information Retrieval, 2014

Information-Theoretic Term Selection for New Item Recommendation.

Thales F. Costa, Anísio Lacerda, Rodrygo L. T. Santos, Nivio Ziviani

Proceedings of the String Processing and Information Retrieval, 2014

Where Should I Go? City Recommendation Based on User Communities.

Ruhan Bidart, Adriano César Machado Pereira, Jussara M. Almeida, Anísio Lacerda

Proceedings of the 9th Latin American Web Congress, 2014

2013

Revenue optimization and customer targeting in daily-deals sites.

Anísio M. Lacerda

PhD thesis, 2013

GUARD: A Genetic Unified Approach for Recommendation.

Adolfo P. Guimarães, Thales F. Costa, Anísio Lacerda, Gisele L. Pappa, Nivio Ziviani

J. Inf. Data Manag., 2013

Weighted slope one predictors revisited.

Danilo Menezes, Anísio Lacerda, Leila Silva, Adriano Veloso, Nivio Ziviani

Proceedings of the 22nd International World Wide Web Conference, 2013

Building user profiles to improve user experience in recommender systems.

Anísio Lacerda, Nivio Ziviani

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Exploratory and interactive daily deals recommendation.

Anísio Lacerda, Adriano Veloso, Nivio Ziviani

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012

Using Taxonomies for Product Recommendation.

Osvaldo Matos-Junior, Nivio Ziviani, Fabiano C. Botelho, Marco Cristo, Anísio Lacerda, Altigran Soares da Silva

J. Inf. Data Manag., 2012

Pareto-efficient hybridization for multi-objective recommender systems.

Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Nivio Ziviani

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

2011

Minimal perfect hashing: A competitive method for indexing internal memory.

Fabiano C. Botelho, Anísio Lacerda, Guilherme Vale Menezes, Nivio Ziviani

Inf. Sci., 2011

2010

Demand-Driven Tag Recommendation.

Guilherme Vale Menezes, Jussara M. Almeida, Fabiano Belém, Marcos André Gonçalves, Anísio Lacerda, Edleno Silva de Moura, Gisele L. Pappa, Adriano Veloso, Nivio Ziviani

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2006

Learning to advertise.

Anísio Lacerda, Marco Cristo, Marcos André Gonçalves, Weiguo Fan, Nivio Ziviani, Berthier A. Ribeiro-Neto

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006