Physics-Data-An
The significance of using the Newcomb-Benford law as a test of nuclear half-life calculations
The Shannon and the Von Neumann entropy of random networks with heterogeneous expected degree
Intrinsic dynamics of heart regulatory systems on short time-scales: from experiment to modelling
Probability flux as a method for detecting scaling
Track-Based Particle Flow
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing
Applying Bayesian Neural Networks to Event Reconstruction in Reactor Neutrino Experiments
A Coverage Study of the CMSSM Based on ATLAS Sensitivity Using Fast Neural Networks Techniques
Detecting spatial patterns with the cumulant function. Part II: An application to El Nino
Fitting Parton Distribution Data with Multiplicative Normalization Uncertainties
Recommendation model based on opinion diffusion
A retrieval strategy for interactive ensemble data assimilation
False-alarm probability in relation to over-sampled power spectra, with application to Super-Kamiokande solar neutrino data
Markov Random Field Segmentation of Brain MR Images
Ninja data analysis with a detection pipeline based on the Hilbert-Huang Transform
Stability of Maximum likelihood based clustering methods: exploring the backbone of classifications (Who is keeping you in that community?)
Information filtering based on transferring similarity
Growth-induced mass flows in fungal networks
Statistical methods for cosmological parameter selection and estimation
Traffic and the visual perception of space
Extreme deconvolution: Inferring complete distribution functions from noisy, heterogeneous and incomplete observations
Symmetry Breaking Study with Random Matrix Ensembles
