Neural network biased corrections: Cautionary study in background corrections for quenched jets
David Stewart, Joern Putschke
Data Analysis papers — page 8
physics.data-anBrowse archive
Using Partial Structure R1 to Do Molecular Replacement Calculations
Xiaodong ZhangData-driven assessment of optimal spatiotemporal resolutions for information extraction in noisy time series data
Domiziano Doria, Simone Martino, Matteo Becchi et al.Hierarchical Bidirectional Transition Dispersion Entropy-based Lempel-Ziv Complexity and Its Application in Fault-Bearing Diagnosis
Runze Jiang, Pengjian ShangAssessing high-order effects in feature importance via predictability decomposition
Marlis Ontivero-Ortega, Luca Faes, Jesus M Cortes et al.Numerical Estimation of Limiting Large-Deviation Rate Functions
Peter Werner, Alexander K. HartmannAn implementation of neural simulation-based inference for parameter estimation in ATLAS
ATLAS CollaborationAI Meets Antimatter: Unveiling Antihydrogen Annihilations
Ashley Ferreira, Mahip Singh, Andrea Capra et al.Uncertainty Propagation within Chained Models for Machine Learning Reconstruction of Neutrino-LAr Interactions
Daniel Douglas, Aashwin Mishra, Daniel Ratner et al.Covariance Analysis of Impulsive Streaking
Jun Wang, Zhaoheng Guo, Erik Isele et al.Variational Autoencoders for At-Source Data Reduction and Anomaly Detection in High Energy Particle Detectors
Alexander Yue, Haoyi Jia, Julia GonskiEstimation of Ru-97 Half-Life Using the Most Frequent Value Method and Bootstrapping Techniques
Victor V. GolovkoDatatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences
Matthew L. Evans, Gian-Marco Rignanese, David Elbert et al.A totally empirical basis of science
Orestis Loukas, Ho-Ryun ChungAn Analytical Approach to the Jaccard Similarity Index
Gonzalo Travieso, Alexandre Benatti, Luciano da F. CostawavScalogram: an R package with wavelet scalogram tools for time series analysis
Vicente J. Bolos, Rafael BenitezLearning Efficient Representations of Neutrino Telescope Events
Felix J. Yu, Nicholas Kamp, Carlos A. ArgüellesSparse flow reconstruction methods to reduce the costs of analyzing large unsteady datasets
Spencer L. Stahl, Stuart I. BentonLearning from the past: predicting critical transitions with machine learning trained on surrogates of historical data
Zhiqin Ma, Chunhua Zeng, Yi-Cheng Zhang et al.High Level Reconstruction with Deep Learning using ILD Full Simulation
Taikan Suehara, Risako Tagami, Lai Gui et al.Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines
E. León, A. Li, M. A. Bahena Schott et al.Manifold-based transformation of probability distributions: application to the inverse problem of reconstructing distributions from experimental data
Tomotaka Oroguchi, Rintaro Inoue, Masaaki SugiyamaPredictability Analysis and Prediction of Discrete Weather and Financial Time-Series Data with a Hamiltonian-Based Filter-Projection Approach
Henrik Kiefer, Denis Furtel, Cihan Ayaz et al.Electric Field Reconstruction with Information Field Theory
Simon Strähnz, Tim Huege, Philipp Frank et al.A new approach to handling factorial moment correlations through principal component analysis
Nikolaos Davis