Ranking BPEL processes for service discovery D Grigori, JC Corrales, M Bouzeghoub, A Gater IEEE Transactions on Services Computing 3 (3), 178-192, 2010 | 125 | 2010 |
Behavioral matchmaking for service retrieval D Grigori, JC Corrales, M Bouzeghoub 2006 IEEE International Conference on Web Services (ICWS'06), 145-152, 2006 | 89 | 2006 |
How to address the data quality issues in regression models: A guided process for data cleaning DC Corrales, JC Corrales, A Ledezma Symmetry 10 (4), 99, 2018 | 87 | 2018 |
An IoT-based traceability system for greenhouse seedling crops CA González-Amarillo, JC Corrales-Muñoz, MÁ Mendoza-Moreno, ... IEEE Access 6, 67528-67535, 2018 | 86 | 2018 |
BPEL processes matchmaking for service discovery JC Corrales, D Grigori, M Bouzeghoub On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and …, 2006 | 82 | 2006 |
Behavioral matchmaking for service retrieval: Application to conversation protocols D Grigori, JC Corrales, M Bouzeghoub Information Systems 33 (7-8), 681-698, 2008 | 70 | 2008 |
Towards detecting crop diseases and pest by supervised learning DC Corrales, JC Corrales, A Figueroa-Casas Ingeniería y Universidad 19 (1), 207-228, 2015 | 68 | 2015 |
IoT-Agro: A smart farming system to Colombian coffee farms JP Rodríguez, AI Montoya-Munoz, C Rodriguez-Pabon, J Hoyos, ... Computers and Electronics in Agriculture 190, 106442, 2021 | 56 | 2021 |
Personalized service degradation policies on OTT applications based on the consumption behavior of users JS Rojas, AR Gallón, JC Corrales Computational Science and Its Applications–ICCSA 2018: 18th International …, 2018 | 53 | 2018 |
A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks DC Corrales, A Ledezma, JC Corrales Applied soft computing 90, 106180, 2020 | 49 | 2020 |
Ingénierie des systèmes d'information C Cauvet, C Rosenthal-Sabroux Hermès Science, 2001 | 47 | 2001 |
A computer vision system for automatic cherry beans detection on coffee trees JP Rodríguez, DC Corrales, JN Aubertot, JC Corrales Pattern Recognition Letters 136, 142-153, 2020 | 41 | 2020 |
Smart user consumption profiling: Incremental learning-based OTT service degradation JS Rojas, A Pekar, Á Rendón, JC Corrales IEEE access 8, 207426-207442, 2020 | 40 | 2020 |
From theory to practice: A data quality framework for classification tasks DC Corrales, A Ledezma, JC Corrales Symmetry 10 (7), 248, 2018 | 39 | 2018 |
A new dataset for coffee rust detection in Colombian crops base on classifiers DC Corrales, A Ledezma, AJ Peña, J Hoyos, A Figueroa, JC Corrales Sistemas & Telemática 12 (29), 9-23, 2014 | 39 | 2014 |
QoS-Classifier for VPN and Non-VPN traffic based on time-related features JA Caicedo-Munoz, AL Espino, JC Corrales, A Rendon Computer Networks 144, 271-279, 2018 | 38 | 2018 |
Bematch: A platform for matchmaking service behavior models JC Corrales, D Grigori, M Bouzeghoub, JE Burbano Proceedings of the 11th international conference on Extending database …, 2008 | 37 | 2008 |
A multi-criteria approach for comparison of environmental assessment methods in the analysis of the energy efficiency in agricultural production systems CM Rodríguez, CFR Rodas, JCC Muñoz, AF Casas Journal of Cleaner Production 228, 1464-1471, 2019 | 36 | 2019 |
A conceptual framework for data quality in knowledge discovery tasks (FDQ-KDT): A Proposal. DC Corrales, A Ledezma, JC Corrales J. Comput. 10 (6), 396-405, 2015 | 36 | 2015 |
Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches E Lasso, DC Corrales, J Avelino, E de Melo Virginio Filho, JC Corrales Computers and Electronics in Agriculture 176, 105640, 2020 | 30 | 2020 |