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Found 10 papers, 3 papers with code
FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality Classification
Gene essentiality, the necessity of a specific gene for the survival of an organism, is crucial to our understanding of cellular processes and identifying drug targets.
RED CoMETS: An ensemble classifier for symbolically represented multivariate time series
Multivariate time series classification is a rapidly growing research field with practical applications in finance, healthcare, engineering, and more.
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease
Motivated by these approaches, this paper proposes a transfer learning method using class decomposition to detect Alzheimer's disease from sMRI images.
Interpretable Classification of Early Stage Parkinson's Disease from EEG
Detecting Parkinson's Disease in its early stages using EEG data presents a significant challenge.
Temporal patterns in insulin needs for Type 1 diabetes
Type 1 Diabetes (T1D) is a chronic condition where the body produces little or no insulin, a hormone required for the cells to use blood glucose (BG) for energy and to regulate BG levels in the body.
IMG-NILM: A Deep learning NILM approach using energy heatmaps
IMG-NILM is robust and flexible with consistent performance on various types of appliances; including single and multiple states.
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification: A survey
Satellite Image Time Series (SITS) of the Earth's surface provide detailed land cover maps, with their quality in the spatial and temporal dimensions consistently improving.
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets
The framework transfers the knowledge learnt from self-reported psychological distress tweets (source domain) to detect the distress status in Brexit tweets (target domain).
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification
The developed technique similarly uses different lenses and representations to look at the time series, and then combines them for broader visibility.
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
For comparison, we apply the data and VGG16 networks to an open-set deep network solution - OpenMax.
