Algorithmic individual fairness and healthcare: a sco** review
Objectives Statistical and artificial intelligence algorithms are increasingly being developed
for use in healthcare. These algorithms may reflect biases that magnify disparities in clinical …
for use in healthcare. These algorithms may reflect biases that magnify disparities in clinical …
Machine learning enhanced evaluation of semiconductor quantum dots
E Corcione, F Jakob, L Wagner, R Joos, A Bisquerra… - Scientific Reports, 2024 - nature.com
A key challenge in quantum photonics today is the efficient and on-demand generation of
high-quality single photons and entangled photon pairs. In this regard, one of the most …
high-quality single photons and entangled photon pairs. In this regard, one of the most …
Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance
Algorithms used in data analytics (DA) tools, particularly in high‐stakes contexts such as
hiring and promotion, may yield unfair recommendations that deviate from merit‐based …
hiring and promotion, may yield unfair recommendations that deviate from merit‐based …
[HTML][HTML] Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals
Electroencephalography (EEG) allows the investigation of brain activity. However, neural
signals often contain artefacts, hindering signal analysis. For example, eye-blink artefacts …
signals often contain artefacts, hindering signal analysis. For example, eye-blink artefacts …
Establishing and evaluating trustworthy AI: overview and research challenges
Artificial intelligence (AI) technologies (re-) shape modern life, driving innovation in a wide
range of sectors. However, some AI systems have yielded unexpected or undesirable …
range of sectors. However, some AI systems have yielded unexpected or undesirable …
A gated feature fusion network with meta-encoder and self-calibrating cross module for building change detection in remote sensing images
J Deng, G Gong, G Zhou, M Yan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Remote sensing (RS) technology plays a critical role in monitoring our constantly changing
world, with building change detection (BCD) being a pivotal application that contributes to …
world, with building change detection (BCD) being a pivotal application that contributes to …
Impact of an adaptive environment based on learning analytics on pre-service science teacher behavior and self-regulation
Learning analytics provides valuable data to inform the best decisions for each learner. This
study, based on adaptive environment (AE) learning analytics dashboards, examines how …
study, based on adaptive environment (AE) learning analytics dashboards, examines how …
Beyond Metrics: Navigating AI through Sustainable Paradigms
This manuscript presents an innovative approach to the concept of sustainability in the realm
of Artificial Intelligence (AI), recognizing that sustainability is a dynamic vision characterized …
of Artificial Intelligence (AI), recognizing that sustainability is a dynamic vision characterized …
[HTML][HTML] Spatial Pattern and Environmental Driving Factors of Treeline Elevations in Yulong Snow Mountain, China
C Lin, L Yang, R Zhou, T Zhang, Y Han, Y Wang - Forests, 2024 - mdpi.com
The southwestern region of China is a global biodiversity hotspot. Understanding the
environmental mechanisms behind treeline formation in high-altitude areas is crucial for …
environmental mechanisms behind treeline formation in high-altitude areas is crucial for …
Batch correction of single-cell sequencing data via an autoencoder architecture
Motivation Technical differences between gene expression sequencing experiments can
cause variations in the data in the form of batch effect biases. These do not represent true …
cause variations in the data in the form of batch effect biases. These do not represent true …