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Emmanuel Lasso
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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
282020
Feature selection for classification tasks: Expert knowledge or traditional methods?
DC Corrales, E Lasso, A Ledezma, JC Corrales
Journal of Intelligent & Fuzzy Systems 34 (5), 2825-2835, 2018
242018
Estimating avocado sales using machine learning algorithms and weather data
J Rincon-Patino, E Lasso, JC Corrales
Sustainability 10 (10), 3498, 2018
232018
Graph patterns as representation of rules extracted from decision trees for coffee rust detection
E Lasso, TT Thamada, CAA Meira, JC Corrales
Metadata and Semantics Research: 9th Research Conference, MTSR 2015 …, 2015
232015
A cloud-based platform for decision making support in Colombian agriculture: a study case in coffee rust
E Lasso, O Valencia, DC Corrales, ID López, A Figueroa, JC Corrales
Advances in Information and Communication Technologies for Adapting …, 2018
162018
Towards an alert system for coffee diseases and pests in a smart farming approach based on semi-supervised learning and graph similarity
E Lasso, JC Corrales
Advances in Information and Communication Technologies for Adapting …, 2018
122018
Estimation of coffee rust infection and growth through two-level classifier ensembles based on expert knowledge
DC Corrales, E Lasso, AF Casas, A Ledezma, JC Corrales
International Journal of Business Intelligence and Data Mining 13 (4), 369-387, 2018
92018
Expert system for coffee rust detection based on supervised learning and graph pattern matching
E Lasso, TT Thamada, CAA Meira, JC Corrales
International Journal of Metadata, Semantics and Ontologies 12 (1), 19-27, 2017
82017
Expert system for crop disease based on graph pattern matching: a proposal
E Lasso, JC Corrales
Revista Ingenierías Universidad de Medellín, 15 (29), 81-98, 2016
82016
Decision support system for coffee rust control based on expert knowledge and value-added services
E Lasso, Ó Valencia, JC Corrales
Computational Science and Its Applications–ICCSA 2017: 17th International …, 2017
72017
Semantic enrichment and inference of relationships in an online social network
EG Lasso-Sambony, SM Ortega-Ponce, JC Corrales
Ingeniería y Universidad 17 (2), 355-373, 2013
72013
Data processing for a water quality detection system on Colombian Rio Piedras Basin
E Castillo, DC Corrales, E Lasso, A Ledezma, JC Corrales
Computational Science and Its Applications--ICCSA 2016: 16th International …, 2016
42016
FramePests: A comprehensive framework for crop pests modeling and forecasting
E Lasso, N Motisi, J Avelino, JC Corrales
IEEE Access 9, 115579-115598, 2021
32021
Water quality detection based on a data mining process on the California estuary
E Castillo, DC Corrales, E Lasso, A Ledezma, JC Corrales
International Journal of Business Intelligence and Data Mining 12 (4), 406-424, 2017
32017
Enriquecimiento semá ntico e inferencia de relaciones en una red social en lÃnea.
EG Lasso-Sambony, SM Ortega-Ponce, JC Corrales
Revista Ingenieria y Universidad 17 (2), 355-374, 2013
32013
Analytical model to measure the effectiveness of content marketing on Twitter: the case of governorates in Colombia
A Guzmán Ordóñez, FJ Arroyo Cañada, E Lasso, JA Sánchez-Torres, ...
Journal of Marketing Analytics, 1-17, 2023
22023
Coffee Rust Detection Based on a Graph Similarity Approach
G Lozada, G Valencia, E Lasso, JC Corrales
Advances in Information and Communication Technologies for Adapting …, 2018
12018
Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta.
E Lasso, JC Corrales
Revista Ingenierias 15 (29), 81-98, 2016
12016
Analysis of time series recurrence and cross recurrence in the relationship of climate with Coffee Leaf Rust
AM Tarquis, E Lasso, JC Corrales, E de Melo
EGU21, 2021
2021
Adaptação de serviços web para a personalização de alertas precoces em agricultura
OR Valencia Aguilar, E Lasso, JC Corrales
Revista Ingenierías Universidad de Medellín 19 (37), 239-257, 2020
2020
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