Dominic Charles Henri, Kirra Coates, Katharine Hubbard
I am a scientist: Overcoming biased assumptions around diversity in science through explicit representation of scientists in lectures
PloS one
electronic coaching ecoach facilitates goalfocused development individuals optimize certain human behavior however automatic generation personalized recommendations ecoaching remains challenging task research paper introduces novel approach combines deep learning semantic ontologies generate hybrid personalized recommendations considering physical activity case study achieve employ three methods timeseries forecasting timeseries physical activity level classification statistical metrics data processing additionally utilize navebased probabilistic interval prediction technique residual standard deviation used make point predictions meaningful recommendation presentation processed results integrated activity datasets using ontology called ontoecoach facilitates semantic representation reasoning generate personalized recommendations understandable format implement sparql protocol rdf query language sparql evaluate performance standard timeseries forecasting algorithms 1d convolutional neural network model cnn1d autoregression long shortterm memory lstm gated recurrent units gru classifiers including multilayer perceptron mlp rocket minirocket minirocketvoting using stateoftheart metrics conduct evaluations public datasets eg pmdata private datasets eg mox25 activity cnn1d model achieves highest prediction accuracy 97formula see text mlp model outperforms classifiers accuracy 74formula see text furthermore evaluate performance proposed ontoecoach ontology model assessing reasoning query execution time metrics results demonstrate approach effectively plans generates recommendations datasets rule set ontoecoach also generalized enhance interpretability