| Predicting activities in business processes with LSTM recurrent neural networks E Tello-Leal, J Roa, M Rubiolo, UM Ramirez-Alcocer 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K), 1-7, 2018 | 28 | 2018 |
| Merging event logs for inter-organizational process mining JD Hernandez-Resendiz, E Tello-Leal, HM Marin-Castro, ... New Perspectives on Enterprise Decision-Making Applying Artificial …, 2021 | 12 | 2021 |
| Predicting incidents of crime through LSTM neural networks in smart city domain UM Ramirez-Alcocer, E Tello-Leal, JA Mata-Torres The Eighth International Conference on Smart Cities, Systems, Devices and …, 2019 | 10 | 2019 |
| Particulate Matter (PM2.5) Concentration Forecasting through an Artificial Neural Network in Port City Environment BA Macías-Hernández, E Tello-Leal, UM Ramirez-Alcocer, ... Environmental Sciences Proceedings 19 (1), 31, 2022 | 6 | 2022 |
| A Deep Learning Approach for Predictive Healthcare Process Monitoring UM Ramirez-Alcocer, E Tello-Leal, G Romero, BA Macías-Hernández Information 14 (9), 508, 2023 | 5 | 2023 |
| Semi-Automated approach for building event logs for process mining from relational database JD Hernandez-Resendiz, E Tello-Leal, UM Ramirez-Alcocer, ... Applied Sciences 12 (21), 10832, 2022 | 4 | 2022 |
| Un enfoque basado en datos para predecir eventos delictivos en ciudades inteligentes (a data-driven approach for predicting criminal events in smart cities) JAM Torres, ET Leal, GR Galván, UMR Alcocer Pistas Educativas 41 (134), 2019 | 4 | 2019 |
| Evaluation of machine learning techniques for malware detection JA Mata-Torres, E Tello-Leal, JD Hernandez-Resendiz, ... Handbook on Decision Making: Volume 3: Trends and Challenges in Intelligent …, 2022 | 3 | 2022 |
| Modelo basado en redes neuronales recurrentes lstm para la predicción de la siguiente actividad en procesos de negocio (lstm recurrent neural network based-model for the … UMR Alcocer, E Tello-Leal, ABR Alvarado Pistas Educativas 40 (130), 2018 | 3 | 2018 |
| An Approach Based on Process Mining Techniques to Support Software Development JD Hernandez-Resendiz, UM Ramirez-Alcocer, E Tello-Leal Handbook on Decision Making: Volume 3: Trends and Challenges in Intelligent …, 2022 | 1 | 2022 |
| Evaluation of Deep Learning Network Architectures for Medicine Expenditure Prediction in the Healthcare Domain UM Ramirez-Alcocer, JD Hernandez-Resendiz, ET Leal Applied Intelligence for Medical Image Analysis, 179-199, 2024 | | 2024 |
| A Hybrid CNN-LSTM Approach for Sentiment Analysis Check for updates UM Ramirez-Alcocer, E Tello-Leal, JD Hernandez-Resendiz, G Romero Fourth Congress on Intelligent Systems: CIS 2023, Volume 2 2, 425, 2024 | | 2024 |
| A Hybrid CNN-LSTM Approach for Sentiment Analysis UM Ramirez-Alcocer, E Tello-Leal, JD Hernandez-Resendiz, G Romero Congress on Intelligent Systems, 425-437, 2023 | | 2023 |
| A Deep Learning Model for Early Prediction of COVID-19 Spread UM Ramirez-Alcocer, E Tello-Leal, JD Hernandez-Resendiz, ... Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET …, 2022 | | 2022 |
| A LSTM Deep Learning Approach for Forecasting Global Air Quality Index UM Ramirez-Alcocer, E Tello-Leal, JD Hernandez-Resendiz, ... Congress on Intelligent Systems, 835-850, 2022 | | 2022 |
| Data-Driven Prediction of COVID-19 Daily New Cases through a Hybrid Approach of Machine Learning Unsupervised and Deep Learning UM Ramirez-Alcocer, E Tello-Leal, BA Macías-Hernández, ... Atmosphere 13 (8), 1205, 2022 | | 2022 |
| Particulate matter (PM1, PM2. 5 and PM10) concentration forecasting through an artificial neural network in port city environment BA Macías-Hernández, E Tello-Leal, UM Ramirez-Alcocer, ... MDPI, 2022 | | 2022 |
| A Novel Feature Selection Method Based on Clustering JA Mata-Torres, UM Ramirez-Alcocer, E Tello-Leal, G Romero-Galván | | |
