| Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting AY Barrera-Animas, LO Oyedele, M Bilal, TD Akinosho, JMD Delgado, ... Machine Learning with Applications 7, 100204, 2022 | 140 | 2022 |
| Online personal risk detection based on behavioural and physiological patterns AY Barrera-Animas, LA Trejo, MA Medina-Pérez, R Monroy, JB Camiña, ... Information Sciences 384, 281-297, 2017 | 24 | 2017 |
| Ensemble of one-class classifiers for personal risk detection based on wearable sensor data J Rodríguez, AY Barrera-Animas, LA Trejo, MA Medina-Pérez, R Monroy Sensors 16 (10), 1619, 2016 | 24 | 2016 |
| Monitoring student activities with smartwatches: On the academic performance enhancement O Herrera-Alcántara, AY Barrera-Animas, M González-Mendoza, ... Sensors 19 (7), 1605, 2019 | 21 | 2019 |
| HyRA: a hybrid recommendation algorithm focused on smart POI. Ceutí as a study scenario J Alvarado-Uribe, A Gómez-Oliva, AY Barrera-Animas, G Molina, ... Sensors 18 (3), 890, 2018 | 15 | 2018 |
| A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways TD Akinosho, LO Oyedele, M Bilal, AY Barrera-Animas, AQ Gbadamosi, ... Ecological Informatics 69, 101609, 2022 | 10 | 2022 |
| Towards an efficient one-class classifier for mobile devices and wearable sensors on the context of personal risk detection LA Trejo, AY Barrera-Animas Sensors 18 (9), 2857, 2018 | 5 | 2018 |
| Generating real-world-like labelled synthetic datasets for construction site applications AY Barrera-Animas, JMD Delgado Automation in Construction 151, 104850, 2023 | 2 | 2023 |
| Monitoring student activities with smartwatches: On the academic performance enhancement AY Barrera-Animas Sensors 19 (7), 2019 | 1 | 2019 |
| Towards a Standardized Evaluation of APIs Non-Functional Requirements Focused on Completeness and Soundness Qualities J Alvarado-Uribe, AY Barrera-Animas, M Gonzalez-Mendoza, ... Computación y Sistemas 27 (4), 2023 | | 2023 |
| Insole Design and Optimization Processes for Gait Analysis KAO Villanueva, M Richter, C Villa, L Martinez-Villaseñor, H Ponce, ... 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1340-1345, 2023 | | 2023 |
| Multimodal Gait Analysis Acquisition System: Challenges and Lessons Learned KMM Ruiz, PP Cervantes, C Villa, L Martinez-Villaseñor, H Ponce, ... 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1060-1065, 2023 | | 2023 |
| HPI Future SOC Lab–Proceedings 2017 S Zhang, M Plauth, F Eberhardt, A Polze, J Lehmann, G Sejdiu, H Jabeen, ... Universitätsverlag Potsdam, 2020 | | 2020 |
| HPI Future SOC Lab: Proceedings 2017 F Bär, AY Barrera-Animas, A Baumann, F Cheng, Y Choudhary, T Cooray, ... Universitätsverlag Potsdam, 2019 | | 2019 |
| PRIDE-2: Improving Personal Risk Detection Based on One-Class Classifiers and the Use of Wearable Sensors J Rodríguez, MA Medina-Pérez, LA Trejo, AY Barrera-Animas, R Monroy, ... HPI Future SOC Lab: Proceedings 2017 130, 105, 2019 | | 2019 |
| Diseño de agentes para recuperar información para el enriquecimiento de ontologías dirigidas a epidemiología: el caso de la tuberculosis. J Alvarado-Uribe, AY Barrera-Animas, M González-Mendoza, ... Res. Comput. Sci. 74, 33-45, 2014 | | 2014 |
| One-class Classification for Personal Risk Detection J Rodrıguez, AY Barrera-Animas, LA Trejo, MA Medina-Pérez, R Monroy, ... HPI Future SOC Lab: Proceedings 2016, 81, 0 | | |
