Discovering Loners and Phantoms in Commit and Issue Data

doi 10.1109/icpc.2015.10
Full Text
Abstract

Available in full text

Date
Authors
Publisher

IEEE

Related search

DASMiner: Discovering and Integrating Data From DAS Sources

BMC Systems Biology
Molecular BiologyApplied MathematicsStructural BiologySimulationComputer Science ApplicationsModeling
2009English

Spatial Patterns and Functional Profiles for Discovering Structure in fMRI Data

2008English

Eco-Evolutionary Significance of “Loners”

PLoS Biology
ImmunologyMolecular BiologyGeneticsBiochemistryMicrobiology Biological SciencesAgriculturalNeuroscience
2020English

Discovering Clusters in Motion Time-Series Data

English

Discovering Business Models of Data Marketplaces

2020English

Discovering Concept Coverings in Ontologies of Linked Data Sources

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Discovering Differentially Expressed Genes in Yeast Stress Data

2014English

To Commit or Not to Commit: Endogenous Timing in Experimental Duopoly Markets

Games and Economic Behavior
EconomicsEconometricsFinance
2002English

Why Men Commit Crimes (And Why They Desist)

Sociological Theory
SociologyPolitical Science
2000English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy