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Artificial intelligence, machine learning, and deep learning for clinical outcome prediction
AI is a broad concept, grou** initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …
usually require a human to complete. AI methods are well suited to predict clinical outcomes …
Advancing UAV security with artificial intelligence: A comprehensive survey of techniques and future directions
Abstract Unmanned Aerial Vehicles (UAVs) have become an integral part of modern smart
cities and systems. However, the proliferation of UAVs has also brought a significant security …
cities and systems. However, the proliferation of UAVs has also brought a significant security …
[HTML][HTML] Human-in-the-loop machine learning: Reconceptualizing the role of the user in interactive approaches
O Gómez-Carmona, D Casado-Mansilla… - Internet of Things, 2024 - Elsevier
The rise of intelligent systems and smart spaces has opened up new opportunities for
human–machine collaborations. Interactive Machine Learning (IML) contribute to fostering …
human–machine collaborations. Interactive Machine Learning (IML) contribute to fostering …
A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting
Sleep plays a crucial role in neonatal development. Monitoring the sleep patterns in
neonates in a Neonatal Intensive Care Unit (NICU) is imperative for understanding the …
neonates in a Neonatal Intensive Care Unit (NICU) is imperative for understanding the …
MS-HNN: Multi-scale hierarchical neural network with squeeze and excitation block for neonatal sleep staging using a single-channel EEG
Most existing neonatal sleep staging appro-aches applied multiple EEG channels to obtain
good performance. However, it potentially increased the computational complexity and led …
good performance. However, it potentially increased the computational complexity and led …
EEG-based neonatal sleep stage classification using ensemble learning
Sleep stage classification can provide important information regarding neonatal brain
development and maturation. Visual annotation, using polysomnography (PSG), is …
development and maturation. Visual annotation, using polysomnography (PSG), is …
A hybrid DCNN-SVM model for classifying neonatal sleep and wake states based on facial expressions in video
Sleep is a natural phenomenon controlled by the central nervous system. The sleep-wake
pattern, which functions as an essential indicator of neurophysiological organization in the …
pattern, which functions as an essential indicator of neurophysiological organization in the …
A convolutional neural network-based decision support system for neonatal quiet sleep detection
Sleep plays an important role in neonatal brain and physical development, making its
detection and characterization important for assessing early-stage development. In this …
detection and characterization important for assessing early-stage development. In this …
Auto-adaptive multilayer perceptron for univariate time series classification
FA Del Campo, MCG Neri, OOV Villegas… - Expert Systems with …, 2021 - Elsevier
Abstract Time Series Classification (TSC) is an intricate problem that has encountered
applications in various science fields. Accordingly, many researchers have presented …
applications in various science fields. Accordingly, many researchers have presented …
Automatic neonatal sleep stage classification: a comparative study
Sleep is an essential feature of living beings. For neonates, it is vital for their mental and
physical development. Sleep stage cycling is an important parameter to assess neonatal …
physical development. Sleep stage cycling is an important parameter to assess neonatal …