The relationship between study findings and publication outcome in anesthesia research following implementation of mandatory trial registration: A systematic review of publication bias. [PDF]
PLoS One, 2023 Chong SW +8 more
europepmc +1 more source
Neural Network Adaptive Control With Long Short‐Term Memory
International Journal of Adaptive Control and Signal Processing, EarlyView.ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc +4 more
wiley +1 more source
More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models [PDF]
arXivMultimodal machine learning models, such as those that combine text and image modalities, are increasingly used in critical domains including public safety, security, and healthcare. However, these systems inherit biases from their single modalities. This study proposes a systemic framework for analyzing dynamic multimodal bias interactions.
arxiv
A Review of Estimates of the Schooling/Earnings Relationship, with Tests for Publication Bias
, 2000 Orley Ashenfelter +2 more
openalex +1 more source
Quantifying publication bias in meta‐analysis
Biometrics, 2018 Lifeng Lin, H. Chu
semanticscholar +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Publication bias in trials registered in the Australian New Zealand Clinical Trials Registry: Is it a problem? A cross-sectional study. [PDF]
PLoS One, 2023 Showell M +7 more
europepmc +1 more source
Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation [PDF]
arXivArtificial intelligence (AI) is increasingly being used for medical imaging tasks. However, there can be biases in the resulting models, particularly when they were trained using imbalanced training datasets. One such example has been the strong race bias effect in cardiac magnetic resonance (CMR) image segmentation models. Although this phenomenon has
arxiv
Review of publication bias in studies on publication bias: Here's a proposal for editors that may help reduce publication bias [PDF]
, 2005 M. Maria Glymour, Ichiro Kawachi
openalex +1 more source