Deep Learning to Analyze RNA-Seq Gene Expression Data

To carry out this project successfully, the workflow has been divided into 4 categories: Data, Deep Learning, Machine Learning and Handcrafted Features. For the input of these

Specifically, we implemented a deep learning (DL) model that could detect left- and right-hand motor imagery with an accuracy of 98.9%, using data from several users and with 20

The recent exponential growing of machine learning techniques (data-mining, deep-learning, manifold learning, linear and nonlinear regression techniques ... to cite but a few) makes

Government policy varies between nations and this guidance sets out the need for balanced decision-making about ways of working, and the ongoing safety considerations

No obstante, como esta enfermedad afecta a cada persona de manera diferente, no todas las opciones de cuidado y tratamiento pueden ser apropiadas para cada individuo.. La forma

Training a Deep Neural Network (DNN), either in end-to-end fashion or to extract speaker embeddings, usually requires speaker labels for the background data, which is difficult

In the edition where the SPOC materials were available, we have observed a correlation between the students’ final marks and their percentage rate of

The application of the turnpike property and the reduction of the optimal control problem for parabolic equations to the steady state one allows us to employ greedy procedure