Physics-Data-An
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks
Entropy-Based Search Algorithm for Experimental Design
Prediction of activation energy barrier of island diffusion processes using data-driven approaches
Big-Data-Driven Materials Science and its FAIR Data Infrastructure
USID and Pycroscopy -- Open frameworks for storing and analyzing spectroscopic and imaging data
In utero diffusion MRI: challenges, advances, and applications
Order of precedence and age of Y-DNA haplotypes
Deep learning-based quality filtering of mechanically exfoliated 2D crystals
Developing an improved Crystal Graph Convolutional Neural Network framework for accelerated materials discovery
Determination of the quark-gluon string parameters from the data on pp, pA and AA collisions at wide energy range using Bayesian Gaussian Process Optimization
Corrections to Off-Axis Delta-v Measurements from Event Data Recorders
Link Prediction in Real-World Multiplex Networks via Layer Reconstruction Method
The slow short-time motions of phospholipid molecules with a focus on the influence of multiple scattering and fitting artifacts
Bayesian versus frequentist upper limits
Robust diffusion parametric mapping of motion-corrupted data with a three-dimensional convolutional neural network
Weight-conserving characterization of complex functional brain networks
Unification of Maximum Entropy and Bayesian Inference via Plausible Reasoning
Distribuciones de probabilidad en las ciencias de la complejidad: una perspectiva contemporanea
Optimal principal component Analysis of STEM XEDS spectrum images
NetzCope: A Tool for Displaying and Analyzing Complex Networks
Iterative Algorithms for Ptychographic Phase Retrieval
Adapting to Non-stationarity with Growing Expert Ensembles
