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Found 5 papers, 1 papers with code
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
When 5G began its commercialisation journey around 2020, the discussion on the vision of 6G also surfaced.
Multivariate feature ranking of gene expression data
Gene expression datasets are usually of high dimensionality and therefore require efficient and effective methods for identifying the relative importance of their attributes.
Modelling the COVID-19 virus evolution with Incremental Machine Learning
We performed some experiments in which we compare state-of-the-art machine learning algorithms, such as LSTM, against online incremental machine learning algorithms to adapt them to the daily changes in the spread of the disease and predict future COVID-19 cases.
A novel auction system for selecting advertisements in Real-Time bidding
We think that this new approach, which considers more relevant aspects besides the price, offers greater benefits for RTB networks in the medium and long-term.
A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions
In this regard, there are two completely different approaches governments can take: a restrictive one, in which drastic measures such as self-isolation can seriously damage the economy, and a more liberal one, where more relaxed restrictions may put at risk a high percentage of the population.
