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ETC Distance Learning Studies during COVID-19, a meta-analysis
(IEEEUS, 2022)
The recent increase in the amount of research on Distance Learning in Engineering, Technology, and Computing, produced by the adaptations in response to the sanitary emergency, makes it necessary to systematize, classify ...
ETC Distance Learning Studies during COVID-19, a meta-analysis
(IEEEUS, 2022)
The recent increase in the amount of research on Distance Learning in Engineering, Technology, and Computing, produced by the adaptations in response to the sanitary emergency, makes it necessary to systematize, classify ...
A survey on machine learning for recurring concept drifting data streams
The problem of concept drift has gained a lot of attention in recent years. This aspect is key in many domains exhibiting non-stationary as well as cyclic patterns and structural breaks affecting their generative processes. ...
GESTIÓN DE OBJETOS DE APRENDIZAJE MEDIANTE SISTEMATIZACIÓN DE PROCESOSLEARNING OBJECTS MANAGEMENT BY PROCESS SYSTEMATIZATION
(Universidad Nacional del Centro del Peru, 2022)
A teaching-learning-based optimization algorithm for solving set covering problems
(Springer Verlag, 2015)
ETC Distance Learning Studies during COVID-19, a meta-analysis
(Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
The recent increase in the amount of research on Distance Learning in Engineering, Technology, and Computing, produced by the adaptations in response to the sanitary emergency, makes it necessary to systematize, classify ...
Meta-learning recommendation of default hyper-parameter values for SVMs in classifications tasks
(University of PortoPorto, 2015-09)
Machine learning algorithms have been investigated in several scenarios, one of them is the data classification. The predictive performance of the models induced by these algorithms is usually strongly affected by the ...
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning
(2021-01-01)
Machine Learning algorithms have been extensively researched throughout the last decade, leading to unprecedented advances in a broad range of applications, such as image classification and reconstruction, object recognition, ...