Now showing items 1-5 of 5
An indoor predicting climate conditions approach using Internet-of-things and artificial hydrocarbon networks
(Elsevier B.V., 2019)
The prediction and understanding of environmental conditions are of great importance to prevent and analyze changes in environment, supporting meteorological based sectors, such as agriculture or smart cities. In that ...
A novel wearable sensor-based human activity recognition approach using artificial hydrocarbon networks
(MDPI AG, 2016)
Human activity recognition has gained more interest in several research communities given that understanding user activities and behavior helps to deliver proactive and personalized services. There are many examples of ...
Versatility of artificial hydrocarbon networks for supervised learning
(Springer Verlag, 2019)
Surveys on supervised machine show that each technique has strengths and weaknesses that make each of them more suitable for a particular domain or learning task. No technique is capable to tackle every supervised learning ...
Human activity recognition on mobile devices using artificial hydrocarbon networks
(Springer Verlag, 2018)
Human activity recognition (HAR) aims to classify and identify activities based on data-driven from different devices, such as sensors or cameras. Particularly, mobile devices have been used for this recognition task. ...
Interpretability of artificial hydrocarbon networks for breast cancer classification
(Institute of Electrical and Electronics Engineers Inc., 2017)
In machine learning, interpretability refers to understand the underlying behavior of the prediction of a model in order to identify diagnosis criteria and/or new rules from its output. Interpretability contributes to ...