Effect of dataset size on modeling and monitoring of chemical processes
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2020.115928
Abstract: Abstract Multivariate data analysis is a powerful tool for process monitoring and data analysis. The theoretical methodology of real-time multivariate data analysis has been studied in the last decade. However, the effect of dataset size… read more here.
Keywords: dataset size; data analysis; multivariate data;
How Many Data Does Machine Learning in Human–Computer Interaction Need?: Re-Estimating the Dataset Size for Convolutional Neural Network-Based Models of Visual Perception
Sign Up to like & getrecommendations! Published in 2023 at "IT Professional"
DOI: 10.1109/mitp.2023.3262923
Abstract: Artificial intelligence (AI)-based user-interface (UI) design and evaluation are currently constrained by the scarcity of human-generated training data. Correspondingly, choosing appropriate neural network (NN) architecture and carefully planning the sample size is essential for building… read more here.
Keywords: neural network; machine learning; dataset size; size ... See more keywords
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2023.1111645
Abstract: Introduction In brain-computer interfaces (BCI) research, recording data is time-consuming and expensive, which limits access to big datasets. This may influence the BCI system performance as machine learning methods depend strongly on the training dataset… read more here.
Keywords: long term; dataset size; bci; performance ... See more keywords