Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …
healthcare applications, both clinical and remote, but the best performing AI systems are …
C-NMC: B-lineage acute lymphoblastic leukaemia: A blood cancer dataset
Abstract Development of computer-aided cancer diagnostic tools is an active research area
owing to the advancements in deep-learning domain. Such technological solutions provide …
owing to the advancements in deep-learning domain. Such technological solutions provide …
[HTML][HTML] Stress classification with in-ear heartbeat sounds
Background: Although stress plays a key role in tinnitus and decreased sound tolerance,
conventional hearing devices used to manage these conditions are not currently capable of …
conventional hearing devices used to manage these conditions are not currently capable of …
WTL-I: Mutual Information-Based Wavelet Transform Learning for Hyperspectral Imaging
Hyperspectral imaging (HSI) is useful in many applications, including healthcare,
geosciences, and remote surveillance. In general, the HSI data set is large. The use of …
geosciences, and remote surveillance. In general, the HSI data set is large. The use of …