| Automatic recognition of anuran species based on syllable identification C Bedoya, C Isaza, JM Daza, JD López Ecological Informatics 24, 200-209, 2014 | 83 | 2014 |
| Artificial neural networks as an alternative to traditional fall detection methods M Vallejo, CV Isaza, JD Lopez 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 79 | 2013 |
| Identifying disturbed habitats: A new method from acoustic indices WE Gómez, CV Isaza, JM Daza Ecological Informatics 45, 16-25, 2018 | 69 | 2018 |
| Automatic identification of rainfall in acoustic recordings C Bedoya, C Isaza, JM Daza, JD López Ecological Indicators 75, 95-100, 2017 | 69 | 2017 |
| Ecoacoustics in the rain: understanding acoustic indices under the most common geophonic source in tropical rainforests C Sánchez‐Giraldo, CL Bedoya, RA Morán‐Vásquez, CV Isaza, JM Daza Remote Sensing in Ecology and Conservation 6 (3), 248-261, 2020 | 63 | 2020 |
| Software development effort prediction of industrial projects applying a general regression neural network C Lopez-Martin, C Isaza, A Chavoya Empirical Software Engineering 17 (6), 738-756, 2012 | 60 | 2012 |
| A new criterion to validate and improve the classification process of LAMDA algorithm applied to diesel engines FA Ruiz, CV Isaza, AF Agudelo, JR Agudelo Engineering Applications of Artificial Intelligence 60, 117-127, 2017 | 40 | 2017 |
| Automaton based on fuzzy clustering methods for monitoring industrial processes JF Botía, C Isaza, T Kempowsky, MV Le Lann, J Aguilar-Martín Engineering Applications of Artificial Intelligence 26 (4), 1211-1220, 2013 | 36 | 2013 |
| Systematic review of machine learning methods applied to ecoacoustics and soundscape monitoring DA Nieto-Mora, S Rodríguez-Buritica, P Rodríguez-Marín, ... Heliyon, 2023 | 26 | 2023 |
| LAMDA-HAD, an Extension to the LAMDA Classifier in the Context of Supervised Learning L Morales, J Aguilar, D Chávez, C Isaza International Journal of Information Technology & Decision Making 19 (01 …, 2020 | 26 | 2020 |
| Singular value decomposition of the time-frequency distribution of PPG signals for motion artifact reduction JF Rojano, CV Isaza Int. J. Signal Process. Syst 4 (6), 475-482, 2016 | 22 | 2016 |
| Yager–Rybalov Triple Π operator as a means of reducing the number of generated clusters in unsupervised anuran vocalization recognition C Bedoya, JW Villanova, CVI Narvaez Mexican International Conference on Artificial Intelligence, 382-391, 2014 | 21 | 2014 |
| Acoustic animal identification using unsupervised learning MJ Guerrero, CL Bedoya, JD López, JM Daza, C Isaza Methods in Ecology and Evolution 14 (6), 1500-1514, 2023 | 20 | 2023 |
| Situation prediction based on fuzzy clustering for industrial complex processes CV Isaza, HO Sarmiento, T Kempowsky-Hamon, MV LeLann Information Sciences 279, 785-804, 2014 | 19 | 2014 |
| Unsupervised feature selection based on fuzzy clustering for fault detection of the tennessee eastman process C Bedoya, C Uribe, C Isaza Advances in Artificial Intelligence–IBERAMIA 2012: 13th Ibero-American …, 2012 | 19 | 2012 |
| Automatic acoustic heterogeneity identification in transformed landscapes from Colombian tropical dry forests N Rendon, S Rodríguez-Buritica, C Sanchez-Giraldo, JM Daza, C Isaza Ecological Indicators 140, 109017, 2022 | 15 | 2022 |
| Contribution of fuzzy classification for the diagnosis of complex systems CV Isaza, A Orantes, T Kempowsky-Hamon, MV Le Lann IFAC Proceedings Volumes 42 (8), 1132-1137, 2009 | 12 | 2009 |
| Expert knowledge-guided feature selection for data-based industrial process monitoring C Uribe, C Isaza Revista Facultad de Ingeniería Universidad de Antioquia, 112-125, 2012 | 11 | 2012 |
| Methodology for mammal classification in camera trap images LP Castelblanco, CI Narváez, AD Pulido Proc. of SPIE Vol 10341, 103410I-1, 2017 | 10* | 2017 |
| Vehicle online monitoring system based on fuzzy classifier DMG Jaramillo, CVI Narváez Proc. Vehicular, 33-38, 2014 | 10 | 2014 |
