Results 261 to 270 of about 1,615,597 (299)

Toward nonlinear representations with Gaussian-splat manifolds for physics-informed learning. [PDF]

Nat Commun
Han X, Chen K, Wang R, Wei G, Han L, Gao H.   +5 more
europepmc   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Cost-Aware Scheduling Under Latency Constraints for Multi-View 3D Reconstruction Across the Edge-Cloud Continuum. [PDF]

Sensors (Basel)
Čilić I, Podnar Žarko I, Kušek M, Štajdohar J.   +3 more
europepmc   +1 more source

Physics-informed differentiable solvers for learning parametric solution manifolds in heterogeneous physical systems. [PDF]

PNAS Nexus
Panahi M, Porta GM, Riva M, Guadagnini A.   +3 more
europepmc   +1 more source

Assessment of the variational quantum eigensolver (VQE) for bond dissociation of H 2 , H 3 + , and CH 5 +. [PDF]

J Mol Model
Marques de Lima A, Darlivam Rodrigues de Aguiar Silva E, Souza Teixeira E, Luiz Longo R.   +3 more
europepmc   +1 more source

A multiscale topology optimization design framework with data driven surrogate model. [PDF]

Sci Rep
Zhou H, Zhou C.
europepmc   +1 more source

A systematic review of spatial epidemiological modeling approaches applied during the COVID-19 pandemic. [PDF]

BMC Public Health
Oshinubi K, Chen Y, Doerry E, Gel ES, Hepp C, Lant T, Mehrotra S, Sabo S, Mihaljevic J.   +8 more
europepmc   +1 more source

Quantum ensembling methods for healthcare and life science. [PDF]

Brief Bioinform
Rhrissorrakrai K, Hamilton KE, Bangalore Parthasarathy P, Guzmán-Sáenz A, Gupta S, Alban T, Utro F, Parida L.   +7 more
europepmc   +1 more source

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The Parameterized Complexity of Abduction

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Abduction belongs to the most fundamental reasoning methods. It is a method for reverse inference, this means one is interested in explaining observed behavior by finding appropriate causes. We study logic-based abduction, where knowledge is represented by propositional formulas.
Michael R. Fellows, Andreas Pfandler, Frances A. Rosamond, Stefan Rümmele   +3 more
openaire   +2 more sources