Anísio Lacerda

47 papers A* 2A 3B 6C 3Journal 17Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Evaluation of Medical Large Language Models: Taxonomy, Review, and Directions. IJCAI Anísio Lacerda, Gisele L. Pappa, Adriano César Machado Pereira, Wagner Meira Jr., Alexandre Guimarães de Almeida Barros
2024	J	`jnl`	Exploring Irregularities in Brazilian Public Bids: An In-depth Analysis on Small Companies. J. Interact. Syst. Camila Santana Braz, Marco Túlio Dutra, Gabriel P. Oliveira, Lucas G. L. Costa, Mariana O. Silva, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
2024	J	`jnl`	Overpricing Analysis in Brazilian Public Bidding Items. J. Interact. Syst. Mariana O. Silva, Lucas G. L. Costa, Larissa D. Gomide, Guilherme Bezerra dos Santos, Gabriel P. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
2024	—	`conf`	Unsupervised Grouping of Public Procurement Similar Items: Which Text Representation Should I Use? LREC/COLING Pedro Paulo Valadares Brum, Mariana O. Silva, Gabriel P. Oliveira, Lucas G. L. Costa, Anísio Lacerda, Gisele L. Pappa
2023	B	`conf`	Algorithmic Recourse in Mental Healthcare. IJCNN Anísio Lacerda, Claudio Almeida, Leonardo Augusto Ferreira, Adriano C. M. Pereira, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco Aurélio Romano-Silva, Leandro Malloy Diniz
2023	B	`conf`	An Empirical Analysis of Vision Transformers Robustness to Spurious Correlations in Health Data. IJCNN Anísio Lacerda, Daniel Ayala, Francisco Malaguth, Fabio Kanadani
2023	J	`jnl`	Assessing Data Quality Inconsistencies in Brazilian Governmental Data. J. Inf. Data Manag. Gabriel P. Oliveira, Bárbara M. A. Mendes, Clara A. Bacha, Lucas G. L. Costa, Larissa D. Gomide, Mariana O. Silva, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
2023	—	`conf`	Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain. BRACIS (3) Henrique R. Hott, Mariana O. Silva, Gabriel P. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
2023	J	`jnl`	Identificação de licitações suspeitas de fraude por meio de trilhas de auditagem. Braz. J. Inf. Syst. Lucas G. L. Costa, Clara A. Bacha, Gabriel P. Oliveira, Mariana O. Silva, Matheus Cândido Teixeira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
2023	—	`conf`	Mineração de Dados sobre Despesas Públicas de Municípios Mineiros para Gerar Alertas de Fraudes. SBBD Larissa D. Gomide, Guilherme Bezerra dos Santos, Lucas G. L. Costa, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
2022	—	`conf`	Collaboration as a Driving Factor for Hit Song Classification. WebMedia Mariana O. Silva, Gabriel P. Oliveira, Danilo B. Seufitelli, Anísio Lacerda, Mirella M. Moro
2022	—	`conf`	Detecting Inconsistencies in Public Bids: An Automated and Data-based Approach. WebMedia Gabriel P. Oliveira, Arthur P. G. Reis, Felipe A. N. Freitas, Lucas G. L. Costa, Mariana O. Silva, Pedro Paulo Valadares Brum, Samuel E. L. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
2022	—	`conf`	Ferramentas open-source de qualidade de dados para licitações públicas: Uma análise comparativa. SBBD Gabriel P. Oliveira, Arthur P. G. Reis, Bárbara M. A. Mendes, Clara A. Bacha, Lucas G. L. Costa, Gabriel L. Canguçu, Mariana O. Silva, Victor Caetano, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa
2021	B	`conf`	Deep Thompson Sampling for Length of Stay Prediction. IJCNN Anísio Lacerda, Gisele L. Pappa
2020	—	`conf`	Detecting Collaboration Profiles in Success-based Music Genre Networks. ISMIR Gabriel P. Oliveira, Mariana Santos, Danilo B. Seufitelli, Anísio Lacerda, Mirella M. Moro
2020	B	`conf`	Explaining Symbolic Regression Predictions. CEC Renato Miranda Filho, Anísio Lacerda, Gisele L. Pappa
2020	J	`jnl`	Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis. ACM Trans. Intell. Syst. Technol. Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Luiz H. C. Merschmann, Gisele L. Pappa
2019	J	`jnl`	Multimodal data fusion framework based on autoencoders for top-N recommender systems. Appl. Intell. Felipe L. A. Conceiç ao, Flávio L. C. Pádua, Anísio Lacerda, Adriano César Machado Pereira, Daniel Hasan Dalip
2019	—	`conf`	On Modeling Context from Objects with a Long Short-Term Memory for Indoor Scene Recognition. SIBGRAPI Camila Laranjeira, Anísio Lacerda, Erickson R. Nascimento
2018	J	`jnl`	A computational approach to support the creation of terminological neologisms in sign languages. Comput. Appl. Eng. Educ. Celso Luiz de Souza, Flávio L. C. Pádua, Vera Lúcia de Souza e Lima, Anísio Lacerda, Carlos A. G. Carneiro
2018	—	`conf`	Exploiting Multiple Recommenders to Improve Group Recommendation. BRACIS Samuel E. L. Oliveira, Pedro Paulo Valadares Brum, Anísio Lacerda, Gisele L. Pappa
2018	B	`conf`	Multi-objective Evolutionary Rank Aggregation for Recommender Systems. CEC Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Gisele L. Pappa
2018	—	`conf`	User-Oriented Objective Prioritization for Meta-Featured Multi-Objective Recommender Systems. UMAP (Adjunct Publication) Reinaldo Silva Fortes, Anísio Lacerda, Alan R. R. de Freitas, Carlos Bruckner, Dayanne Gouveia Coelho, Marcos André Gonçalves
2017	C	`conf`	A Robust Indoor Scene Recognition Method Based on Sparse Representation. CIARP Guilherme Nascimento, Camila Laranjeira, Vinicius Braz, Anísio Lacerda, Erickson R. Nascimento
2017	J	`jnl`	A Robust Indoor Scene Recognition Method based on Sparse Representation. CoRR Guilherme Nascimento, Camila Laranjeira, Vinicius Braz, Anísio Lacerda, Erickson R. Nascimento
2017	J	`jnl`	A general framework to expand short text for topic modeling. Inf. Sci. Paulo Viana Bicalho, Marcelo Pita, Gabriel Pedrosa, Anísio Lacerda, Gisele L. Pappa
2017	J	`jnl`	A video summarization approach based on the emulation of bottom-up mechanisms of visual attention. J. Intell. Inf. Syst. Hugo Jacob, Flávio L. C. Pádua, Anísio Lacerda, Adriano C. M. Pereira
2017	J	`jnl`	Multi-Objective Ranked Bandits for Recommender Systems. Neurocomputing Anísio Lacerda
2016	J	`jnl`	Automatic and online setting of similarity thresholds in content-based visual information retrieval problems. EURASIP J. Adv. Signal Process. Izaquiel L. Bessas, Flávio L. C. Pádua, Guilherme T. de Assis, Rodrigo T. N. Cardoso, Anísio Lacerda
2016	B	`conf`	Evolutionary rank aggregation for recommender systems. CEC Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Gisele L. Pappa
2016	—	`conf`	Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion. BRACIS Gabriel Pedrosa, Marcelo Pita, Paulo Viana Bicalho, Anísio Lacerda, Gisele L. Pappa
2015	—	`conf`	Adding Value to Daily-Deals Recommendation: Multi-armed Bandits to Match Customers and Deals. BRACIS Anísio Lacerda, Adriano Veloso, Nivio Ziviani
2015	—	`conf`	Contextual Bandits for Multi-objective Recommender Systems. BRACIS Anísio Lacerda
2015	J	`jnl`	Improving daily deals recommendation using explore-then-exploit strategies. Inf. Retr. J. Anísio Lacerda, Rodrygo L. T. Santos, Adriano Veloso, Nivio Ziviani
2014	C	`conf`	Context-Aware Deal Size Prediction. SPIRE Anísio Lacerda, Adriano Veloso, Rodrygo L. T. Santos, Nivio Ziviani
2014	C	`conf`	Information-Theoretic Term Selection for New Item Recommendation. SPIRE Thales F. Costa, Anísio Lacerda, Rodrygo L. T. Santos, Nivio Ziviani
2014	J	`jnl`	Multiobjective Pareto-Efficient Approaches for Recommender Systems. ACM Trans. Intell. Syst. Technol. Marco Túlio Ribeiro, Nivio Ziviani, Edleno Silva de Moura, Itamar Hata, Anísio Lacerda, Adriano Veloso
2014	—	`conf`	Where Should I Go? City Recommendation Based on User Communities. LA-WEB Ruhan Bidart, Adriano César Machado Pereira, Jussara M. Almeida, Anísio Lacerda
2013	A	`conf`	Building user profiles to improve user experience in recommender systems. WSDM Anísio Lacerda, Nivio Ziviani
2013	A	`conf`	Exploratory and interactive daily deals recommendation. RecSys Anísio Lacerda, Adriano Veloso, Nivio Ziviani
2013	J	`jnl`	GUARD: A Genetic Unified Approach for Recommendation. J. Inf. Data Manag. Adolfo P. Guimarães, Thales F. Costa, Anísio Lacerda, Gisele L. Pappa, Nivio Ziviani
2013	—	`conf`	Weighted slope one predictors revisited. WWW (Companion Volume) Danilo Menezes, Anísio Lacerda, Leila Silva, Adriano Veloso, Nivio Ziviani
2012	A	`conf`	Pareto-efficient hybridization for multi-objective recommender systems. RecSys Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Nivio Ziviani
2012	J	`jnl`	Using Taxonomies for Product Recommendation. J. Inf. Data Manag. Osvaldo Matos-Junior, Nivio Ziviani, Fabiano C. Botelho, Marco Cristo, Anísio Lacerda, Altigran Soares da Silva
2011	J	`jnl`	Minimal perfect hashing: A competitive method for indexing internal memory. Inf. Sci. Fabiano C. Botelho, Anísio Lacerda, Guilherme Vale Menezes, Nivio Ziviani
2010	—	`conf`	Demand-Driven Tag Recommendation. ECML/PKDD (2) Guilherme Vale Menezes, Jussara M. Almeida, Fabiano Belém, Marcos André Gonçalves, Anísio Lacerda, Edleno Silva de Moura, Gisele L. Pappa, Adriano Veloso, Nivio Ziviani
2006	A*	`conf`	Learning to advertise. SIGIR Anísio Lacerda, Marco Cristo, Marcos André Gonçalves, Weiguo Fan, Nivio Ziviani, Berthier A. Ribeiro-Neto