| The Kuramoto model in complex networks FA Rodrigues, TKDM Peron, P Ji, J Kurths Physics Reports 610, 1-98, 2016 | 819 | 2016 |
| On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study GO Campos, A Zimek, J Sander, RJGB Campello, B Micenková, ... Data mining and knowledge discovery 30, 891-927, 2016 | 730 | 2016 |
| Hierarchical density estimates for data clustering, visualization, and outlier detection RJGB Campello, D Moulavi, A Zimek, J Sander ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (1), 1-51, 2015 | 684 | 2015 |
| Data stream clustering: A survey JA Silva, ER Faria, RC Barros, ER Hruschka, AC Carvalho, J Gama ACM Computing Surveys (CSUR) 46 (1), 1-31, 2013 | 641 | 2013 |
| A systematic mapping on gamification applied to education S de Sousa Borges, VHS Durelli, HM Reis, S Isotani Proceedings of the 29th annual ACM symposium on applied computing, 216-222, 2014 | 627 | 2014 |
| Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation AM Thomas, P Manghi, F Asnicar, E Pasolli, F Armanini, M Zolfo, ... Nature medicine 25 (4), 667-678, 2019 | 594 | 2019 |
| Tweet sentiment analysis with classifier ensembles NFF Da Silva, ER Hruschka, ER Hruschka Jr Decision support systems 66, 170-179, 2014 | 563 | 2014 |
| Statistical inference: an integrated approach HS Migon, D Gamerman, F Louzada CRC press, 2014 | 454 | 2014 |
| Practical augmented Lagrangian methods for constrained optimization EG Birgin, JM Martínez Society for Industrial and Applied Mathematics, 2014 | 434 | 2014 |
| CID: an efficient complexity-invariant distance for time series GE Batista, EJ Keogh, OM Tataw, VMA De Souza Data Mining and Knowledge Discovery 28, 634-669, 2014 | 385 | 2014 |
| Ensembles for unsupervised outlier detection: challenges and research questions a position paper A Zimek, RJGB Campello, J Sander Acm Sigkdd Explorations Newsletter 15 (1), 11-22, 2014 | 326 | 2014 |
| Bayesian model averaging: A systematic review and conceptual classification TM Fragoso, W Bertoli, F Louzada International Statistical Review 86 (1), 1-28, 2018 | 307 | 2018 |
| Addressing big data time series: Mining trillions of time series subsequences under dynamic time warping T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ... ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (3), 1-31, 2013 | 298 | 2013 |
| Prospective observational study on acute appendicitis worldwide (POSAW) M Sartelli, GL Baiocchi, S Di Saverio, F Ferrara, FM Labricciosa, ... World Journal of Emergency Surgery 13, 1-10, 2018 | 273 | 2018 |
| Deep learning for biological image classification C Affonso, ALD Rossi, FHA Vieira, ACP de Leon Ferreira Expert systems with applications 85, 114-122, 2017 | 270 | 2017 |
| A comparison of multi-label feature selection methods using the problem transformation approach N Spolaôr, EA Cherman, MC Monard, HD Lee Electronic notes in theoretical computer science 292, 135-151, 2013 | 270 | 2013 |
| Density-Based Clustering Validation D Moulavi, PA Jaskowiak, RJGB Campello, A Zimek, J Sander | 260 | 2014 |
| A systematic comparison of supervised classifiers DR Amancio, CH Comin, D Casanova, G Travieso, OM Bruno, ... PloS one 9 (4), e94137, 2014 | 255 | 2014 |
| Applications of ontologies in requirements engineering: a systematic review of the literature D Dermeval, J Vilela, II Bittencourt, J Castro, S Isotani, P Brito, A Silva Requirements engineering 21, 405-437, 2016 | 250 | 2016 |
| Classification methods applied to credit scoring: Systematic review and overall comparison F Louzada, A Ara, GB Fernandes Surveys in Operations Research and Management Science 21 (2), 117-134, 2016 | 249 | 2016 |
