Anísio Lacerda

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 29

Top Topics

Recommender Systems

Rank Aggregation

Top Venues

Publications

Pedro Paulo Valadares Brum, Mariana O. Silva, Gabriel P. Oliveira, Lucas G. L. Costa, Anísio Lacerda, Gisele L. Pappa
Unsupervised Grouping of Public Procurement Similar Items: Which Text Representation Should I Use? LREC/COLING (2024)
Camila S. Braz, Marco Túlio Dutra, Gabriel P. Oliveira, Lucas L. Costa, Mariana O. Silva, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
Exploring Irregularities in Brazilian Public Bids: An In-depth Analysis on Small Companies. J. Interact. Syst. 15 (1) (2024)
Mariana O. Silva, Lucas L. Costa, Larissa D. Gomide, Guilherme Bezerra dos Santos, Gabriel P. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
Overpricing Analysis in Brazilian Public Bidding Items. J. Interact. Syst. 15 (1) (2024)
Henrique R. Hott, Mariana O. Silva, Gabriel P. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain. BRACIS (3) (2023)
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
Assessing Data Quality Inconsistencies in Brazilian Governmental Data. J. Inf. Data Manag. 14 (1) (2023)
Larissa D. Gomide, Guilherme Bezerra dos Santos, Lucas L. Costa, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
Mineração de Dados sobre Despesas Públicas de Municípios Mineiros para Gerar Alertas de Fraudes. SBBD (2023)
Anísio Lacerda, Claudio Almeida, André C. P. L. F. de Carvalho, Adriano C. M. Pereira, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco A. Romano-Silva, Leandro Malloy Diniz
Algorithmic Recourse in Mental Healthcare. IJCNN (2023)
Anísio Lacerda, Daniel Ayala, Francisco Malaguth, Fabio Kanadani
An Empirical Analysis of Vision Transformers Robustness to Spurious Correlations in Health Data. IJCNN (2023)
Mariana O. Silva, Gabriel P. Oliveira, Danilo B. Seufitelli, Anísio Lacerda, Mirella M. Moro
Collaboration as a Driving Factor for Hit Song Classification. WebMedia (2022)
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
Ferramentas open-source de qualidade de dados para licitações públicas: Uma análise comparativa. SBBD (2022)
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
Detecting Inconsistencies in Public Bids: An Automated and Data-based Approach. WebMedia (2022)
Anísio Lacerda, Gisele L. Pappa
Deep Thompson Sampling for Length of Stay Prediction. IJCNN (2021)
Gabriel P. Oliveira, Mariana Santos, Danilo B. Seufitelli, Anísio Lacerda, Mirella M. Moro
Detecting Collaboration Profiles in Success-based Music Genre Networks. ISMIR (2020)
Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Luiz Merschmanm, Gisele L. Pappa
Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis. ACM Trans. Intell. Syst. Technol. 11 (2) (2020)
Renato Miranda Filho, Anísio Lacerda, Gisele L. Pappa
Explaining Symbolic Regression Predictions. CEC (2020)
Felipe L. A. Conceiç ao, Flávio L. C. Pádua, Anísio Lacerda, Adriano César Machado Pereira, Daniel Hasan Dalip
Multimodal data fusion framework based on autoencoders for top-N recommender systems. Appl. Intell. 49 (9) (2019)
Camila Laranjeira, Anísio Lacerda, Erickson R. Nascimento
On Modeling Context from Objects with a Long Short-Term Memory for Indoor Scene Recognition. SIBGRAPI (2019)
Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Gisele L. Pappa
Multi-objective Evolutionary Rank Aggregation for Recommender Systems. CEC (2018)
Samuel E. L. Oliveira, Pedro Paulo Valadares Brum, Anísio Lacerda, Gisele L. Pappa
Exploiting Multiple Recommenders to Improve Group Recommendation. BRACIS (2018)
Celso Luiz de Souza, Flávio L. C. Pádua, Vera L. S. Lima, Anísio Lacerda, Carlos A. G. Carneiro
A computational approach to support the creation of terminological neologisms in sign languages. Comput. Appl. Eng. Educ. 26 (3) (2018)
Reinaldo Silva Fortes, Anísio Lacerda, Alan R. R. de Freitas, Carlos Bruckner, Dayanne Gouveia Coelho, Marcos André Gonçalves
User-Oriented Objective Prioritization for Meta-Featured Multi-Objective Recommender Systems. UMAP (Adjunct Publication) (2018)
Guilherme Nascimento, Camila Laranjeira, Vinicius Braz, Anísio Lacerda, Erickson R. Nascimento
A Robust Indoor Scene Recognition Method based on Sparse Representation. CoRR (2017)
Anísio Lacerda
Multi-Objective Ranked Bandits for Recommender Systems. Neurocomputing 246 (2017)
Guilherme Nascimento, Camila Laranjeira, Vinicius Braz, Anísio Lacerda, Erickson R. Nascimento
A Robust Indoor Scene Recognition Method Based on Sparse Representation. CIARP (2017)
Paulo Viana Bicalho, Marcelo Pita, Gabriel Pedrosa, Anísio Lacerda, Gisele L. Pappa
A general framework to expand short text for topic modeling. Inf. Sci. 393 (2017)
Hugo Jacob, Flávio L. C. Pádua, Anísio Lacerda, Adriano C. M. Pereira
A video summarization approach based on the emulation of bottom-up mechanisms of visual attention. J. Intell. Inf. Syst. 49 (2) (2017)
Gabriel Pedrosa, Marcelo Pita, Paulo Viana Bicalho, Anísio Lacerda, Gisele L. Pappa
Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion. BRACIS (2016)
Izaquiel L. Bessas, Flávio L. C. Pádua, Guilherme T. de Assis, Rodrigo T. N. Cardoso, Anísio Lacerda
Automatic and online setting of similarity thresholds in content-based visual information retrieval problems. EURASIP J. Adv. Signal Process. 2016 (2016)
Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Gisele L. Pappa
Evolutionary rank aggregation for recommender systems. CEC (2016)
Anísio Lacerda
Contextual Bandits for Multi-objective Recommender Systems. BRACIS (2015)
Anísio Lacerda, Adriano Veloso, Nivio Ziviani
Adding Value to Daily-Deals Recommendation: Multi-armed Bandits to Match Customers and Deals. BRACIS (2015)
Anísio Lacerda, Rodrygo L. T. Santos, Adriano Veloso, Nivio Ziviani
Improving daily deals recommendation using explore-then-exploit strategies. Inf. Retr. J. 18 (2) (2015)
Thales F. Costa, Anísio Lacerda, Rodrygo L. T. Santos, Nivio Ziviani
Information-Theoretic Term Selection for New Item Recommendation. SPIRE (2014)
Marco Túlio Ribeiro, Nivio Ziviani, Edleno Silva de Moura, Itamar Hata, Anísio Lacerda, Adriano Veloso
Multiobjective Pareto-Efficient Approaches for Recommender Systems. ACM Trans. Intell. Syst. Technol. 5 (4) (2014)
Anísio Lacerda, Adriano Veloso, Rodrygo L. T. Santos, Nivio Ziviani
Context-Aware Deal Size Prediction. SPIRE (2014)
Ruhan Bidart, Adriano César Machado Pereira, Jussara M. Almeida, Anísio Lacerda
Where Should I Go? City Recommendation Based on User Communities. LA-WEB (2014)
Danilo Menezes, Anísio Lacerda, Leila Silva, Adriano Veloso, Nivio Ziviani
Weighted slope one predictors revisited. WWW (Companion Volume) (2013)
Anísio Lacerda, Nivio Ziviani
Building user profiles to improve user experience in recommender systems. WSDM (2013)
Adolfo P. Guimarães, Thales F. Costa, Anísio Lacerda, Gisele L. Pappa, Nivio Ziviani
GUARD: A Genetic Unified Approach for Recommendation. J. Inf. Data Manag. 4 (3) (2013)
Anísio Lacerda, Adriano Veloso, Nivio Ziviani
Exploratory and interactive daily deals recommendation. RecSys (2013)
Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Nivio Ziviani
Pareto-efficient hybridization for multi-objective recommender systems. RecSys (2012)
Osvaldo Matos-Junior, Nivio Ziviani, Fabiano C. Botelho, Marco Cristo, Anísio Lacerda, Altigran Soares da Silva
Using Taxonomies for Product Recommendation. J. Inf. Data Manag. 3 (2) (2012)
Fabiano C. Botelho, Anísio Lacerda, Guilherme Vale Menezes, Nivio Ziviani
Minimal perfect hashing: A competitive method for indexing internal memory. Inf. Sci. 181 (13) (2011)
Guilherme Vale Menezes, Jussara M. Almeida, Fabiano Belém, Marcos André Gonçalves, Anísio Lacerda, Edleno Silva de Moura, Gisele L. Pappa, Adriano Veloso, Nivio Ziviani
Demand-Driven Tag Recommendation. ECML/PKDD (2) (2010)
Anísio Lacerda, Marco Cristo, Marcos André Gonçalves, Weiguo Fan, Nivio Ziviani, Berthier A. Ribeiro-Neto
Learning to advertise. SIGIR (2006)