Results 31 to 40 of about 51,627 (264)
Denoising Diffusion Implicit Models
CoRR, 2020 ICLR 2021; updated connections with ODEs at page 6, fixed some typos in the ...
Jiaming Song +2 more
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BMC Psychology, 2018 Background Strategies to promote physical activity (PA) focus mainly on changing or fostering explicit cognitions and are only modestly effective. Contemporary studies suggest that, as well as explicit cognitions, implicit cognitions influence health ...
Carolin Muschalik +3 more
doaj +1 more source
Meitan xuebaoIn the construction of coal transparent geological systems, automatic modeling of coal seam geological bodies with complex cross-fault networks and dynamic updating of models is a challenging task.
Deyun ZHONG, Liguan WANG
doaj +1 more source
We Usually Don’t Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter [PDF]
Computational Linguistics, 2018 Although common sense and connotative knowledge come naturally to most people, computers still struggle to perform well on tasks for which such extratextual information is required.
Cynthia Van Hee +2 more
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FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
Good learning and implicit model enumeration [PDF]
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005 A large number of practical applications rely on effective algorithms for propositional model enumeration and counting. Examples include knowledge compilation, model checking and hybrid solvers. Besides practical applications, the problem of counting propositional models is of key relevancy in computational complexity.
António Morgado 0001 +1 more
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Visualizing the Implicit Model Selection Tradeoff
Journal of Artificial Intelligence Research, 2021 The recent rise of machine learning (ML) has been leveraged by practitioners and researchers to provide new solutions to an ever growing number of business problems. As with other ML applications, these solutions rely on model selection, which is typically achieved by evaluating certain metrics on models separately and selecting the model whose ...
Zezhen He, Yaron Shaposhnik
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source
Human Locomotion Implicit Modeling-Based Real-Time Gait Phase Estimation
IEEE Transactions on Neural Systems and Rehabilitation EngineeringGait phase estimation based on inertial measurement unit (IMU) signals facilitates precise adaptation of exoskeletons to individual gait variations. However, challenges remain in achieving high accuracy and robustness, particularly during periods of ...
Yuanlong Ji +5 more
doaj +1 more source