Adriano Veloso

134 papers A* 7A 7B 20C 8Misc 1Journal 43Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Authorship Attribution with Synthetic Paintings. CoRR Clarissa Loures, Caio Hosken, Luan Oliveira, Gianlucca L. Zuin, Adriano Veloso
2026	J	`jnl`	Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms. CoRR Gianlucca L. Zuin, Adriano Veloso
2026	—	`conf`	Synthetic Data Fine-Tuning for Effective Team Formation in Enterprises. EACL (Industry Track) Guilherme Drummond Lima, Adriano Veloso
2025	J	`jnl`	"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations. CoRR Gianlucca L. Zuin, Adriano Veloso
2025	J	`jnl`	"A 6 or a 9?": Ensemble Learning through the Multiplicity of Performant Models and Explanations. ACM Trans. Knowl. Discov. Data Gianlucca L. Zuin, Adriano Veloso
2025	C	`conf`	Enhancing Authorship Attribution with Synthetic Paintings. ICMLA Clarissa Loures, Caio Hosken, Luan Oliveira, Gianlucca L. Zuin, Adriano Veloso
2025	B	`conf`	Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts. IJCNN Gianlucca L. Zuin, Saulo Martiello Mastelini, Túlio C. Loures, Adriano Veloso
2025	J	`jnl`	Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts. CoRR Gianlucca L. Zuin, Saulo Martiello Mastelini, Túlio C. Loures, Adriano Veloso
2024	—	`conf`	Explaining Biomarker Response to Anticoagulant Therapy in Atrial Fibrillation: A Study of Warfarin and Rivaroxaban with Machine Learning Models. BRACIS (1) Adriano Veloso, Gianlucca L. Zuin, Luan Sena
2024	B	`conf`	Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms. TrustCom Gianlucca L. Zuin, Adriano Veloso
2023	J	`jnl`	Mitigating bias in facial analysis systems by incorporating label diversity. Comput. Graph. Camila Kolling, Victor Araujo, Adriano Veloso, Soraia Raupp Musse
2022	B	`conf`	A data-centric approach for predicting individual outcomes in a multi-party legislative system. IJCNN Roberta Viola, Guilherme Drummond, Adriano Veloso, Mauricio Zuardi
2022	B	`conf`	Automatic Model Evaluation using Feature Importance Patterns on Unlabeled Data. IJCNN Ismael Santana Silva, Adriano Veloso
2022	J	`jnl`	Deep Learning Techniques for Explainable Resource Scales in Collectible Card Games. IEEE Trans. Games Gianlucca L. Zuin, Luiz Chaimowicz, Adriano Veloso
2022	J	`jnl`	Early identification of ICU patients at risk of complications: Regularization based on robustness and stability of explanations. Artif. Intell. Medicine Tiago Amador, Saulo Saturnino, Adriano Veloso, Nivio Ziviani
2022	J	`jnl`	Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity. CoRR Camila Kolling, Victor Flavio de Andrade Araujo, Adriano Veloso, Soraia Raupp Musse
2022	B	`conf`	The Subtle Art of Digging for Defects: Analyzing Features for Defect Prediction in Java Projects. ENASE Geanderson E. dos Santos, Adriano Veloso, Eduardo Figueiredo
2022	—	`conf`	Understanding Thresholds of Software Features for Defect Prediction. SBES Geanderson E. dos Santos, Adriano Veloso, Eduardo Figueiredo
2021	A	`conf`	Assessing Media Bias in Cross-Linguistic and Cross-National Populations. ICWSM Allan Sales, Albin Zehe, Leandro Balby Marinho, Adriano Veloso, Andreas Hotho, Janna Omeliyanenko
2021	B	`conf`	Predicting Heating Sliver in Duplex Stainless Steels Manufacturing through Rashomon Sets. IJCNN Gianlucca L. Zuin, Felipe Marcelino, Lucas Borges, João Couto, Victor Jorge, Mychell Laurindo, Glaucio Barcelos, Márcio Cunha, Valdeci Alvarenga, Henrique Rodrigues, Paulo Balsamo, Adriano Veloso
2021	J	`jnl`	Predicting the Evolution of Pain Relief: Ensemble Learning by Diversifying Model Explanations. ACM Trans. Comput. Heal. Anderson Bessa Da Costa, Larissa Moreira, Daniel Ciampi De Andrade, Adriano Veloso, Nivio Ziviani
2020	B	`conf`	Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations. IJCNN Dan Valle, Tiago Pimentel, Adriano Veloso
2020	J	`jnl`	Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations. CoRR Dan Valle, Tiago Pimentel, Adriano Veloso
2020	B	`conf`	Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions. IJCNN Gianlucca L. Zuin, Adriano Veloso, João Cândido Portinari, Nivio Ziviani
2020	J	`jnl`	Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions. CoRR Gianlucca L. Zuin, Adriano Veloso, João Cândido Portinari, Nivio Ziviani
2020	J	`jnl`	Characterization of Fake News Based on Subjectivity Lexicons. J. Data Intell. Caio L. M. Jeronimo, Leandro Bezerra Marinho, Cclaudio E. C. Carmpelo, Adriano Veloso, Allan Sales da Costa Melo
2020	B	`conf`	Computing with Subjectivity Lexicons. LREC Caio Libânio Melo Jerônimo, Cláudio Elízio Calazans Campelo, Leandro Balby Marinho, Allan Sales da Costa Melo, Adriano Veloso, Roberta Viola
2020	B	`conf`	Deep Active Learning for Anomaly Detection. IJCNN Tiago Pimentel, Marianne Monteiro, Adriano Veloso, Nivio Ziviani
2020	B	`conf`	Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease. IJCNN Eduardo Nigri, Nivio Ziviani, Fábio A. M. Cappabianco, Augusto Antunes, Adriano Veloso
2020	J	`jnl`	Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease. CoRR Eduardo Nigri, Nivio Ziviani, Fabio A. M. Cappabianco, Augusto Antunes, Adriano Veloso
2020	B	`conf`	Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding. IJCNN Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani
2020	J	`jnl`	Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding. CoRR Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani
2020	—	`conf`	Predicting Software Defects with Explainable Machine Learning. SBQS Geanderson E. dos Santos, Eduardo Figueiredo, Adriano Veloso, Markos Viggiato, Nivio Ziviani
2020	J	`jnl`	Subjetividade em correções de redações detecção automática através de léxico de operadores de viés linguístico. Linguamática Márcia Cançado, Luana Amaral, Evelin Amorim, Adriano Veloso, Heliana Mello
2020	J	`jnl`	Understanding machine learning software defect predictions. Autom. Softw. Eng. Geanderson Esteves dos Santos, Eduardo Figueiredo, Adriano Veloso, Markos Viggiato, Nivio Ziviani
2019	C	`conf`	A Sequential Approach for Pain Recognition Based on Facial Representations. ICVS Antoni Mauricio, Fábio A. M. Cappabianco, Adriano Veloso, Guillermo Cámara
2019	J	`jnl`	Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation. CoRR Tiago Alves, Alberto H. F. Laender, Adriano Veloso, Nivio Ziviani
2019	B	`conf`	Efficient Estimation of Node Representations in Large Graphs using Linear Contexts. IJCNN Tiago Pimentel, Rafael Castro, Adriano Veloso, Nivio Ziviani
2019	—	`conf`	Explainable Machine Learning for Fake News Detection. WebSci Julio C. S. Reis, André Correia, Fabricio Murai, Adriano Veloso, Fabrício Benevenuto
2019	C	`conf`	Fake News Classification Based on Subjective Language. iiWAS Caio Libânio Melo Jerônimo, Leandro Balby Marinho, Cláudio E. C. Campelo, Adriano Veloso, Allan Sales da Costa Melo
2019	J	`jnl`	Learning Transferable Features for Speech Emotion Recognition. CoRR Alison Marczewski, Adriano Veloso, Nivio Ziviani
2019	C	`conf`	Learning a Resource Scale for Collectible Card Games. CoG Gianlucca L. Zuin, Adriano Veloso
2019	—	`conf`	Media Bias Characterization in Brazilian Presidential Elections. HT Allan Sales, Leandro Balby, Adriano Veloso
2019	J	`jnl`	Supervised Learning for Fake News Detection. IEEE Intell. Syst. Julio C. S. Reis, André Correia, Fabricio Murai, Adriano Veloso, Fabrício Benevenuto, Erik Cambria
2018	J	`jnl`	A Generalized Active Learning Approach for Unsupervised Anomaly Detection. CoRR Tiago Pimentel, Marianne Monteiro, Juliano Viana, Adriano Veloso, Nivio Ziviani
2018	—	`conf`	Automated Essay Scoring in the Presence of Biased Ratings. NAACL-HLT Evelin Amorim, Márcia Cançado, Adriano Veloso
2018	—	`conf`	Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation. IEEE BigData Tiago Alves, Alberto H. F. Laender, Adriano Veloso, Nivio Ziviani
2018	B	`conf`	Effective Fashion Retrieval Based on Semantic Compositional Networks. IJCNN Dan Valle, Nivio Ziviani, Adriano Veloso
2018	—	`conf`	Ego-Centric Analysis of Supportive Networks. WebSci André Costa, Roberto Nalon, Wagner Meira Jr., Adriano Veloso
2018	—	`conf`	Fast Node Embeddings: Learning Ego-Centric Representations. ICLR (Workshop) Tiago Pimentel, Adriano Veloso, Nivio Ziviani
2018	C	`conf`	Fast and Effective Neural Networks for Translating Natural Language into Denotations. SPIRE Tiago Pimentel, Juliano Viana, Adriano Veloso, Nivio Ziviani
2018	B	`conf`	Learning Transferable Features For Open-Domain Question Answering. IJCNN Gianlucca L. Zuin, Luiz Chaimowicz, Adriano Veloso
2018	B	`conf`	Learning to Rank with Deep Autoencoder Features. IJCNN Alberto Albuquerque, Tiago Amador, Renato Ferreira, Adriano Veloso, Nivio Ziviani
2018	J	`jnl`	Website replica detection with distant supervision. Inf. Retr. J. Cristiano R. de Carvalho, Edleno Silva de Moura, Adriano Veloso, Nivio Ziviani
2017	—	`conf`	A Multi-aspect Analysis of Automatic Essay Scoring for Brazilian Portuguese. EACL (Student Research Workshop) Evelin Amorim, Adriano Veloso
2017	J	`jnl`	Exploiting item co-utility to improve collaborative filtering recommendations. J. Assoc. Inf. Sci. Technol. Aline Bessa, Rodrygo L. T. Santos, Adriano Veloso, Nivio Ziviani
2017	A*	`conf`	Learning Transferable Features for Speech Emotion Recognition. ACM Multimedia (Thematic Workshops) Alison Marczewski, Adriano Veloso, Nivio Ziviani
2017	—	`conf`	Unsupervised and Scalable Algorithm for Learning Node Representations. ICLR (Workshop) Tiago Pimentel, Adriano Veloso, Nivio Ziviani
2016	J	`jnl`	An empirical study of socialbot infiltration strategies in the Twitter social network. Soc. Netw. Anal. Min. Carlos Alessandro Sena de Freitas, Fabrício Benevenuto, Adriano Veloso, Saptarshi Ghosh
2016	J	`jnl`	Subject-Related Message Filtering in Social Media Through Context-Enriched Language Models. Trans. Comput. Collect. Intell. Alexandre Davis, Adriano Veloso
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`	Brazil Around the World: Characterizing and Detecting Brazilian Emigrants Using Google+. WebMedia Johnnatan Messias, Gabriel Magno, Fabrício Benevenuto, Adriano Veloso, Virgílio A. F. Almeida
2015	—	`conf`	Employee Analytics through Sentiment Analysis. SBBD André Costa, Adriano Veloso
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
2015	J	`jnl`	Learning sequential classifiers from long and noisy discrete-event sequences efficiently. Data Min. Knowl. Discov. Gessé Dafé, Adriano Veloso, Mohammed J. Zaki, Wagner Meira Jr.
2015	J	`jnl`	Mining citizen emotions to estimate the urgency of urban issues. Inf. Syst. Christian Masdeval, Adriano Veloso
2015	B	`conf`	Reverse Engineering Socialbot Infiltration Strategies in Twitter. ASONAM Carlos A. Freitas, Fabrício Benevenuto, Saptarshi Ghosh, Adriano Veloso
2014	J	`jnl`	A Two-stage active learning method for learning to rank. J. Assoc. Inf. Sci. Technol. Rodrigo M. Silva, Marcos André Gonçalves, Adriano Veloso
2014	C	`conf`	Context-Aware Deal Size Prediction. SPIRE Anísio Lacerda, Adriano Veloso, Rodrygo L. T. Santos, Nivio Ziviani
2014	A*	`conf`	Economically-efficient sentiment stream analysis. SIGIR Roberto Lourenço de Oliveira Jr., Adriano Veloso, Adriano C. M. Pereira, Wagner Meira Jr., Renato Ferreira, Srinivasan Parthasarathy
2014	B	`conf`	Learning to Rank Similar Apparel Styles with Economically-Efficient Rule-Based Active Learning. ICMR Mariane Moreira, Jefersson Alex dos Santos, Adriano Veloso
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	J	`jnl`	Reverse Engineering Socialbot Infiltration Strategies in Twitter. CoRR Carlos A. Freitas, Fabrício Benevenuto, Saptarshi Ghosh, Adriano Veloso
2014	J	`jnl`	Self-training author name disambiguation for information scarce scenarios. J. Assoc. Inf. Sci. Technol. Anderson A. Ferreira, Adriano Veloso, Marcos André Gonçalves, Alberto H. F. Laender
2014	—	`conf`	Socialbots: Implications on the Safety and Reliability of Twitter-Based Services. SBRC Carlos Alessandro Sena de Freitas, Fabrício Benevenuto, Adriano Veloso
2013	—	`conf`	A KDD-Based Methodology to Rank Trust in e-Commerce Systems. Web Intelligence José Felipe Júnior, Adriano C. M. Pereira, Wagner Meira Jr., Adriano Veloso
2013	—	`conf`	Caracterização do uso de hashtags do Twitter para mensurar o sentimento da população online: Um estudo de caso nas Eleições Presidenciais dos EUA em 2012. SBBD (Short Papers) Glívia A. R. Barbosa, Pedro H. F. Holanda, Geanderson E. dos Santos, Conrado C. da Costa, Ismael Santana Silva, Adriano Veloso, Wagner Meira Jr.
2013	A	`conf`	Exploratory and interactive daily deals recommendation. RecSys Anísio Lacerda, Adriano Veloso, Nivio Ziviani
2013	—	`conf`	FS-NER: a lightweight filter-stream approach to named entity recognition on twitter data. WWW (Companion Volume) Diego Marinho de Oliveira, Alberto H. F. Laender, Adriano Veloso, Altigran Soares da Silva
2013	—	`conf`	Filter-Stream Named Entity Recognition: A Case Study at the #MSM2013 Concept Extraction Challenge. #MSM Diego Marinho de Oliveira, Alberto H. F. Laender, Adriano Veloso, Altigran Soares da Silva
2013	J	`jnl`	Learning Accurate and Interpretable Classifiers Using Optimal Multi-Criteria Rules. J. Inf. Data Manag. Itamar Hata, Adriano Veloso, Nivio Ziviani
2013	C	`conf`	Using Mutual Influence to Improve Recommendations. SPIRE Aline Bessa, Adriano Veloso, Nivio Ziviani
2013	—	`conf`	Weighted slope one predictors revisited. WWW (Companion Volume) Danilo Menezes, Anísio Lacerda, Leila Silva, Adriano Veloso, Nivio Ziviani
2012	J	`jnl`	A tool for generating synthetic authorship records for evaluating author name disambiguation methods. Inf. Sci. Anderson A. Ferreira, Marcos André Gonçalves, Jussara M. Almeida, Alberto H. F. Laender, Adriano Veloso
2012	—	`conf`	Active associative sampling for author name disambiguation. JCDL Anderson A. Ferreira, Rodrigo M. Silva, Marcos André Gonçalves, Adriano Veloso, Alberto H. F. Laender
2012	—	`conf`	Alleviating the Sparsity Problem in Recommender Systems by Exploring Underlying User Communities. AMW Aline Bessa, Alberto H. F. Laender, Adriano Veloso, Nivio Ziviani
2012	B	`conf`	Automatic Vandalism Detection in Wikipedia with Active Associative Classification. TPDL Maria I. M. Sumbana, Marcos André Gonçalves, Rodrigo Silva Oliveira, Jussara M. Almeida, Adriano Veloso
2012	—	`conf`	Characterizing the effectiveness of twitter hashtags to detect and track online population sentiment. CHI Extended Abstracts Glívia Angélica Rodrigues Barbosa, Ismael Santana Silva, Mohammed Javeed Zaki, Wagner Meira Jr., Raquel O. Prates, Adriano Veloso
2012	J	`jnl`	Cost-effective on-demand associative author name disambiguation. Inf. Process. Manag. Adriano Veloso, Anderson A. Ferreira, Marcos André Gonçalves, Alberto H. F. Laender, Wagner Meira Jr.
2012	—	`conf`	Methodology for fraud detection in electronic transactions. WebMedia José Felipe Júnior, Adriano C. M. Pereira, Wagner Meira Jr., Adriano Veloso
2012	—	`conf`	Named Entity Disambiguation in Streaming Data. ACL (1) Alexandre Davis, Adriano Veloso, Altigran Soares da Silva, Alberto H. F. Laender, Wagner Meira Jr.
2012	—	`conf`	New evolutionary approaches to high-dimensional data. GECCO (Companion) Luis Matoso, José Felipe Júnior, Adriano C. M. Pereira, Adriano Veloso, Wagner Meira Jr.
2012	A	`conf`	Pareto-efficient hybridization for multi-objective recommender systems. RecSys Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Nivio Ziviani
2012	J	`jnl`	Practical Detection of Spammers and Content Promoters in Online Video Sharing Systems. IEEE Trans. Syst. Man Cybern. Part B Fabrício Benevenuto, Tiago Rodrigues, Adriano Veloso, Jussara M. Almeida, Marcos André Gonçalves, Virgílio A. F. Almeida
2012	—	`conf`	Um sistema de alarme para vigilância epidemiológica de rumores utilizando redes sociais. SBBD (Short Papers) Denise E. F. de Brito, Janaína Gomide, Walter Santos, Wagner Meira Jr., Adriano Veloso, Virgílio A. F. Almeida
2011	—	`conf`	Análise Adaptativa de Fluxo de Sentimento Baseada em Janela Deslizante Ativa. SBBD (Short Papers) Ismael Santana Silva, Glívia A. R. Barbosa, Adriano Veloso, Wagner Meira Jr., Renato Ferreira
2011	J	`jnl`	Calibrated lazy associative classification. Inf. Sci. Adriano Veloso, Wagner Meira Jr., Marcos André Gonçalves, Humberto Mossri de Almeida, Mohammed Javeed Zaki
2011	J	`jnl`	Competence-Conscious Associative Rank Aggregation. J. Inf. Data Manag. Adriano Veloso, Marcos André Gonçalves, Wagner Meira Jr.
2011	—	`book`	Demand-Driven Associative Classification. Adriano Veloso, Wagner Meira Jr.
2011	—	`conf`	Dengue surveillance based on a computational model of spatio-temporal locality of Twitter. WebSci Janaína Gomide, Adriano Veloso, Wagner Meira Jr., Virgílio A. F. Almeida, Fabrício Benevenuto, Fernanda Ferraz, Mauro Teixeira
2011	A*	`conf`	Effective sentiment stream analysis with self-augmenting training and demand-driven projection. SIGIR Ismael Santana Silva, Janaína Gomide, Adriano Veloso, Wagner Meira Jr., Renato Ferreira
2011	J	`jnl`	Exploiting Temporal Locality to Determine User Bias in Microblogging Platforms. J. Inf. Data Manag. Pedro Henrique Calais Guerra, Loïc Cerf, Thiago C. Porto, Adriano Veloso, Wagner Meira Jr., Virgílio A. F. Almeida
2011	A*	`conf`	From bias to opinion: a transfer-learning approach to real-time sentiment analysis. KDD Pedro Henrique Calais Guerra, Adriano Veloso, Wagner Meira Jr., Virgílio A. F. Almeida
2011	J	`jnl`	Information Retrieval Research at UFMG. J. Inf. Data Manag. Nivio Ziviani, Marcos André Gonçalves, Edleno Silva de Moura, Berthier A. Ribeiro-Neto, Altigran Soares da Silva, Adriano Veloso
2011	—	`conf`	Rule-Based Active Sampling for Learning to Rank. ECML/PKDD (3) Rodrigo M. Silva, Marcos André Gonçalves, Adriano Veloso
2011	—	`conf`	Spam detection using web page content: a new battleground. CEAS Marco Túlio Ribeiro, Pedro Henrique Calais Guerra, Leonardo Vilela, Adriano Veloso, Dorgival O. Guedes, Wagner Meira Jr., Marcelo H. P. C. Chaves, Klaus Steding-Jessen, Cristine Hoepers
2010	B	`conf`	Active Learning Genetic programming for record deduplication. IEEE Congress on Evolutionary Computation Junio de Freitas, Gisele L. Pappa, Altigran Soares da Silva, Marcos André Gonçalves, Edleno Silva de Moura, Adriano Veloso, Alberto H. F. Laender, Moisés G. de Carvalho
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
2010	—	`conf`	Effective self-training author name disambiguation in scholarly digital libraries. JCDL Anderson A. Ferreira, Adriano Veloso, Marcos André Gonçalves, Alberto H. F. Laender
2010	J	`jnl`	Learning to Rank using Query-Level Rules. J. Inf. Data Manag. Adriano Veloso, Marcos André Gonçalves, Wagner Meira Jr., Humberto Mossri de Almeida
2010	—	`conf`	Learning to rank for content-based image retrieval. Multimedia Information Retrieval Fábio Augusto Faria, Adriano Veloso, Humberto Mossri de Almeida, Eduardo Valle, Ricardo da Silva Torres, Marcos André Gonçalves, Wagner Meira Jr.
2009	J	`jnl`	Competence-conscious associative classification. Stat. Anal. Data Min. Adriano Veloso, Mohammed Javeed Zaki, Wagner Meira Jr., Marcos André Gonçalves
2009	—	`conf`	SyGAR - A Synthetic Data Generator for Evaluating Name Disambiguation Methods. ECDL Anderson A. Ferreira, Marcos André Gonçalves, Jussara M. Almeida, Alberto H. F. Laender, Adriano Veloso
2009	A	`conf`	The Metric Dilemma: Competence-Conscious Associative Classification. SDM Adriano Veloso, Mohammed Javeed Zaki, Wagner Meira Jr., Marcos André Gonçalves
2008	—	`conf`	Calibrated Lazy Associative Classification. SBBD Adriano Veloso, Wagner Meira Jr., Mohammed Javeed Zaki
2008	A*	`conf`	Learning to rank at query-time using association rules. SIGIR Adriano Veloso, Humberto Mossri de Almeida, Marcos André Gonçalves, Wagner Meira Jr.
2007	A	`conf`	Automatic Moderation of Comments in a Large On-line Journalistic Environment. ICWSM Adriano Veloso, Wagner Meira Jr., Tiago Alves Macambira, Dorgival O. Guedes, Hélio Marcos Paz de Almeida
2007	—	`conf`	Efficient on-demand Opinion Mining. SBBD Adriano Veloso, Wagner Meira Jr.
2007	—	`conf`	Multi-label Lazy Associative Classification. PKDD Adriano Veloso, Wagner Meira Jr., Marcos André Gonçalves, Mohammed Javeed Zaki
2006	—	`conf`	Lazy Associative Classification for Content-based Spam Detection. LA-WEB Adriano Veloso, Wagner Meira Jr.
2006	A*	`conf`	Lazy Associative Classification. ICDM Adriano Veloso, Wagner Meira Jr., Mohammed J. Zaki
2006	A	`conf`	Multi-evidence, multi-criteria, lazy associative document classification. CIKM Adriano Veloso, Wagner Meira Jr., Marco Cristo, Marcos André Gonçalves, Mohammed Javeed Zaki
2005	—	`conf`	Rule Generation and Rule Selection Techniques for Cost-Sensitive Associative Classification. SBBD Adriano Veloso, Wagner Meira Jr.
2004	—	`conf`	Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining. PKDD Adriano Veloso, Wagner Meira Jr., Renato Ferreira, Dorgival Olavo Guedes Neto, Srinivasan Parthasarathy
2004	J	`jnl`	Parallel and distributed methods for incremental frequent itemset mining. IEEE Trans. Syst. Man Cybern. Part B Matthew Eric Otey, Srinivasan Parthasarathy, Chao Wang, Adriano Veloso, Wagner Meira Jr.
2003	—	`conf`	Efficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases. SBBD Adriano Veloso, Wagner Meira Jr., Srinivasan Parthasarathy, Márcio de Carvalho
2003	A*	`conf`	Mining Frequent Itemsets in Distributed and Dynamic Databases. ICDM Matthew Eric Otey, Chao Wang, Srinivasan Parthasarathy, Adriano Veloso, Wagner Meira Jr.
2003	C	`conf`	New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases. SBAC-PAD Adriano Veloso, Wagner Meira Jr., Srinivasan Parthasarathy
2003	Misc	`conf`	Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets. HiPC Adriano Veloso, Matthew Eric Otey, Srinivasan Parthasarathy, Wagner Meira Jr.
2002	—	`conf`	Efficiently Mining Approximate Models of Associations in Evolving Databases. PKDD Adriano Veloso, Bruno Gusmão Rocha, Wagner Meira Jr., Márcio de Carvalho, Srinivasan Parthasarathy, Mohammed Javeed Zaki
2002	A	`conf`	Mining Frequent Itemsets in Evolving Databases. SDM Adriano Veloso, Wagner Meira Jr., Márcio de Carvalho, Bruno Pôssas, Srinivasan Parthasarathy, Mohammed Javeed Zaki
2002	—	`conf`	Mining Reliable Models of Associations in Dynamic Databases. SBBD Adriano Veloso, Wagner Meira Jr., Márcio de Carvalho
2002	—	`conf`	Real World Association Rule Mining. BNCOD Adriano Veloso, Bruno Gusmão Rocha, Márcio de Carvalho, Wagner Meira Jr.
2001	—	`conf`	Mineração Incremental de Regras de Associação. SBBD Adriano Veloso, Bruno Pôssas, Gustavo Menezes Siqueira, Wagner Meira Jr., Márcio de Carvalho