output
20062026
most citedDistribution free goodness-of-fit tests for linear processes

11 citations

5 papers

cs.DB2026★ 1 cited

Workload-Aware Incremental Reclustering in Cloud Data Warehouses

Yipeng Liu, Renfei Zhou, Jiaqi Yan +1

Modern cloud data warehouses store data in micro-partitions and rely on metadata (e.g., zonemaps) for efficient data pruning during query processing. Maintaining data clustering in…

cond-mat.mes-hall2024★ 1 cited

Commercial CMOS Process for Quantum Computing: Quantum Dots and Charge Sensing in a 22 nm Fully Depleted Silicon-on-Insulator Process

S. V. Amitonov, A. Aprà, M. Asker +16

Confining electrons or holes in quantum dots formed in the channel of industry-standard fully depleted silicon-on-insulator CMOS structures is a promising approach to scalable qubi…

eess.IV2022

Automatic Quantification of Volumes and Biventricular Function in Cardiac Resonance. Validation of a New Artificial Intelligence Approach

Ariel H. Curiale, MatÍas E. Calandrelli, Lucca Dellazoppa +4

Background: Artificial intelligence techniques have shown great potential in cardiology, especially in quantifying cardiac biventricular function, volume, mass, and ejection fracti…

eess.IV2022★ 1 cited

Detection of Fibrosis in Cine Magnetic Resonance Images Using Artificial Intelligence Techniques

Ariel. H. Curiale, Facundo Cabrera, Pablo Jimenez +3

Background: Artificial intelligence techniques have demonstrated great potential in cardiology, especially to detect imperceptible patterns for the human eye. In this sense, these…

math.ST2006★ 11 cited

Distribution free goodness-of-fit tests for linear processes

Miguel A. Delgado, Javier Hidalgo, Carlos Velasco

This article proposes a class of goodness-of-fit tests for the autocorrelation function of a time series process, including those exhibiting long-range dependence. Test statistics…