Results 191 to 200 of about 190,737 (267)

Rapid Mandarin Tone Learning in Passive and Active Listening: A Magnetoencephalography Study. [PDF]

Eur J Neurosci
Jiang K, Li Q, Kurkela JLO, Monto S, Hämäläinen JA, Li X, Astikainen P.   +6 more
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

Efficient Super-Resolution Bayesian Eletromagnetic Brain Imaging. [PDF]

IEEE Trans Biomed Eng
Cai C, Qi X, Yan J, Shang Y, Sekihara K, Wu W, Nagarajan SS.   +6 more
europepmc   +1 more source

Decision-Making in Repeated Games: Insights from Active Inference. [PDF]

Behav Sci (Basel)
Yuan H, Wang L, Gao W, Tao T, Fan C.
europepmc   +1 more source

Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms. [PDF]

Nat Commun
Schmal M, Mäder P.
europepmc   +1 more source

Identifying systemic lupus erythematosus from serum proteomic profiles using machine learning and genetic risk stratification

Arthritis &Rheumatology, Accepted Article.
Objectives Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Lupus patients and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu, Jishnu Das, Amr H Sawalha   +2 more
wiley   +1 more source

Navigating Ternary Doping in Li-ion Cathodes With Closed-Loop Multi-Objective Bayesian Optimization. [PDF]

Adv Mater
Zeinali Galabi N, Liu CH, Jain M, Kamel M, Jia S, Bengio Y, McCalla E.   +6 more
europepmc   +1 more source

Development of interactive MRI‐based 3D visualization tools for neuroanatomy education in Latin America

Anatomical Sciences Education, EarlyView.
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair, Diego Cureño, Alejandro De León Cuevas, Paola Ocampo Luna, Marta Bianciardi, María G. García‐Gomar   +5 more
wiley   +1 more source

Hidden State Inference or Continuous Belief Updating during a Dynamic Visuomotor Skill. [PDF]

J Neurosci
Harris DJ, Arthur T.
europepmc   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source