| Ranking BPEL processes for service discovery D Grigori, JC Corrales, M Bouzeghoub, A Gater IEEE Transactions on Services Computing 3 (3), 178-192, 2010 | 124 | 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 |
| 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 |
| An IoT-based traceability system for greenhouse seedling crops CA González-Amarillo, JC Corrales-Muñoz, MÁ Mendoza-Moreno, ... IEEE Access 6, 67528-67535, 2018 | 78 | 2018 |
| 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 | 76 | 2018 |
| 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 | 65 | 2015 |
| 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 | 47 | 2018 |
| Ingénierie des systèmes d'information C Cauvet, C Rosenthal-Sabroux Hermès Science, 2001 | 46 | 2001 |
| 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 | 42 | 2020 |
| 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 | 40 | 2021 |
| 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 | 38 | 2020 |
| 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 | 38 | 2015 |
| 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 | 38 | 2014 |
| 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 |
| Smart user consumption profiling: Incremental learning-based OTT service degradation JS Rojas, A Pekar, Á Rendón, JC Corrales IEEE access 8, 207426-207442, 2020 | 34 | 2020 |
| 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 | 32 | 2018 |
| From theory to practice: A data quality framework for classification tasks DC Corrales, A Ledezma, JC Corrales Symmetry 10 (7), 248, 2018 | 30 | 2018 |
| An empirical multi-classifier for coffee rust detection in colombian crops DC Corrales, A Figueroa, A Ledezma, JC Corrales Computational Science and Its Applications--ICCSA 2015: 15th International …, 2015 | 26 | 2015 |
| Consumption behavior analysis of over the top services: Incremental learning or traditional methods? JS Rojas, A Rendon, JC Corrales IEEE Access 7, 136581-136591, 2019 | 25 | 2019 |
