Adriano Veloso
Adriano Veloso
Associate Professor of Computer Science, Universidade Federal de Minas Gerais
Verified email at
Cited by
Cited by
Supervised learning for fake news detection
JCS Reis, A Correia, F Murai, A Veloso, F Benevenuto
IEEE Intelligent Systems 34 (2), 76-81, 2019
Dengue surveillance based on a computational model of spatio-temporal locality of Twitter
J Gomide, A Veloso, W Meira Jr, V Almeida, F Benevenuto, F Ferraz, ...
Proceedings of the 3rd international web science conference, 1-8, 2011
Lazy associative classification
A Veloso, W Meira, MJ Zaki
Sixth International Conference on Data Mining (ICDM'06), 645-654, 2006
From bias to opinion: a transfer-learning approach to real-time sentiment analysis
PH Calais Guerra, A Veloso, W Meira Jr, V Almeida
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
Reverse engineering socialbot infiltration strategies in twitter
C Freitas, F Benevenuto, S Ghosh, A Veloso
Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015
Multiobjective pareto-efficient approaches for recommender systems
MT Ribeiro, N Ziviani, ESD Moura, I Hata, A Lacerda, A Veloso
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (4), 1-20, 2014
Pareto-efficient hybridization for multi-objective recommender systems
MT Ribeiro, A Lacerda, A Veloso, N Ziviani
Proceedings of the sixth ACM conference on Recommender systems, 19-26, 2012
Explainable machine learning for fake news detection
JCS Reis, A Correia, F Murai, A Veloso, F Benevenuto
Proceedings of the 10th ACM conference on web science, 17-26, 2019
Effective self-training author name disambiguation in scholarly digital libraries
AA Ferreira, A Veloso, MA Gonçalves, AHF Laender
Proceedings of the 10th annual joint conference on Digital libraries, 39-48, 2010
Mining frequent itemsets in evolving databases
AA Veloso, W Meira Jr, MB Carvalho, B Pôssas, S Parthasarathy, MJ Zaki
Proceedings of the 2002 SIAM International Conference on Data Mining, 494-510, 2002
Multi-label lazy associative classification
A Veloso, W Meira, M Gonçalves, M Zaki
Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007
Learning to rank at query-time using association rules
AA Veloso, HM Almeida, MA Gonçalves, W Meira Jr
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
Automated essay scoring in the presence of biased ratings
E Amorim, M Cançado, A Veloso
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Understanding machine learning software defect predictions
G Esteves, E Figueiredo, A Veloso, M Viggiato, N Ziviani
Automated Software Engineering 27 (3), 369-392, 2020
Effective sentiment stream analysis with self-augmenting training and demand-driven projection
IS Silva, J Gomide, A Veloso, W Meira Jr, R Ferreira
Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011
Learning to rank for content-based image retrieval
FF Faria, A Veloso, HM Almeida, E Valle, RS Torres, MA Gonçalves, ...
Proceedings of the international conference on Multimedia information …, 2010
Parallel and distributed methods for incremental frequent itemset mining
ME Otey, S Parthasarathy, C Wang, A Veloso, W Meira
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004
Active learning genetic programming for record deduplication
J De Freitas, GL Pappa, AS da Silva, MA Gonc, E Moura, A Veloso, ...
IEEE Congress on Evolutionary Computation, 1-8, 2010
Cost-effective on-demand associative author name disambiguation
A Veloso, AA Ferreira, MA Goncalves, AHF Laender, W Meira Jr
Information Processing & Management 48 (4), 680-697, 2012
Deep Active Learning for Anomaly Detection
T Pimentel, M Monteiro, A Veloso, N Ziviani
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
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