Results 41 to 50 of about 12,459,906 (292)

A Tutorial for Meta-Analysis of Diagnostic Tests for Low-Prevalence Diseases: Bayesian Models and Software

Methodology, 2020
Although measures such as sensitivity and specificity are used in the study of diagnostic test accuracy, these are not appropriate for integrating heterogeneous studies.
Johny J. Pambabay-Calero, Sergio A. Bauz-Olvera, Ana B. Nieto-Librero, Maria Purificación Galindo-Villardón, Ana B. Sánchez-García   +4 more
doaj   +1 more source

GenomeGraphs: integrated genomic data visualization with R. [PDF]

, 2009
BackgroundBiological studies involve a growing number of distinct high-throughput experiments to characterize samples of interest. There is a lack of methods to visualize these different genomic datasets in a versatile manner.
Bullard, James, Dudoit, Sandrine, Durinck, Steffen, Spellman, Paul T   +3 more
core   +3 more sources

A deep action-oriented video image classification system for text detection and recognition

SN Applied Sciences, 2021
For the video images with complex actions, achieving accurate text detection and recognition results is very challenging. This paper presents a hybrid model for classification of action-oriented video images which reduces the complexity of the problem to
Abhra Chaudhuri, Palaiahnakote Shivakumara, Pinaki Nath Chowdhury, Umapada Pal, Tong Lu, Daniel Lopresti, G. Hemantha Kumar   +6 more
doaj   +1 more source

Capturing Data Provenance from Statistical Software

International Journal of Digital Curation, 2022
We have created tools that automate one of the most burdensome aspects of documenting the provenance of research data: describing data transformations performed by statistical software.
George Charles Alter, Jack Gager, Pascal Heus, Carson Hunter, Sanda Ionescu, Jeremy Iverson, H.V. Jagadish, Jared Lyle, Alexander Mueller, Sigve Nordgaard, Ornulf Risnes, Dan Smith, Jie Song   +12 more
doaj   +1 more source

Quantitative Analysis of Probabilistic Models of Software Product Lines with Statistical Model Checking [PDF]

, 2015
We investigate the suitability of statistical model checking techniques for analysing quantitative properties of software product line models with probabilistic aspects.
Lafuente, Alberto Lluch, Legay, Axel, ter Beek, Maurice H., Vandin, Andrea   +3 more
core   +3 more sources

Software Engineering in Small Software Companies: Consolidating and Integrating Empirical Literature Into a Process Tool Adoption Framework

IEEE Access, 2021
Small software companies face numerous challenges of complexity, unstructured software development processes and scarce resources. This notwithstanding, the companies have dominated the software market by 80 percent.
Micheal Tuape, Victoria T. Hasheela-Mufeti, Anna Kayanda, Jari Porras, Jussi Kasurinen   +4 more
doaj   +1 more source

Evolution of statistical analysis in empirical software engineering research: Current state and steps forward

, 2019
Software engineering research is evolving and papers are increasingly based on empirical data from a multitude of sources, using statistical tests to determine if and to what degree empirical evidence supports their hypotheses.
Feldt, Robert, Furia, Carlo A., Gren, Lucas, Huang, Ziwei, Neto, Francisco Gomes de Oliveira, Torkar, Richard   +5 more
core   +1 more source

BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis

bioRxiv, 2018
Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary data.
R. Bouckaert, T. Vaughan, Joëlle Barido‐Sottani, S. Duchêne, M. Fourment, Alexandra Gavryushkina, Joseph Heled, Graham Jones, D. Kühnert, N. Maio, Michael Matschiner, F. K. Mendes, Nicola F. Müller, Huw A. Ogilvie, L. Plessis, Alex Popinga, A. Rambaut, David A. Rasmussen, Igor Siveroni, M. Suchard, Chieh-Hsi Wu, Dong Xie, Chi Zhang, T. Stadler, A. Drummond   +24 more
semanticscholar   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Fine-grained timing using genetic programming [PDF]

, 2010
In previous work, we have demonstrated that it is possible to use Genetic Programming to minimise the resource consumption of software, such as its power consumption or execution time. In this paper, we investigate the extent to which Genetic Programming
A.F. Webster, J. Kelsey, N.L. Binkert, P. Kocher, P.C. Kocher   +4 more
core   +1 more source