Listar Artículos (Lenguajes y Sistemas Informáticos) por título
Mostrando ítems 500-519 de 780
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Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres
(Elsevier, 2022)Data centres increase their size and complexity due to the increasing amount of heterogeneous work loads and patterns to ...
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Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources
(Elsevier, 2017)Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence ex pected to rise over ...
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Many-Objective Test Suite Generation for Software Product Lines
(Association for Computing Machinery (ACM), 2020)A Software Product Line (SPL) is a set of products built from a number of features, the set of valid products being defined ...
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Mapping RDF knowledge bases using exchange samples
(Elsevier, 2016)Nowadays, the Web of Data is in its earliest stages; it is currently organised into a variety of linked knowledge bases ...
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Un Marco Metodológico para Evaluar Técnicas y Herramientas para Pruebas del Software
(ATI (Asociación de Técnicos de Informática), 2013)Actualmente existe una necesidad real en el sector industrial de disponer de conocimiento para decidir qué técnicas de ...
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MaRIA: a process to model entity reconciliation problems
(River Publishers, 2018)Within the development of software systems, the development of web applications may be one of the most widespread at ...
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MCFS: Min-cut-based feature-selection
(Elsevier, 2020)In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the ...
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MDWA: a model-driven Web augmentation approach—coping with client- and server-side support
(Springer, 2020)Web augmentation is a set of techniques allowing users to define and execute software which is dependent on the presentation ...
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Measures of Similarity Between Objects Based on Qualitative Shape Descriptions
(Taylor & Francis, 2013-06)A computational approach for comparing qualitative shape descriptions (QSDs) of objects within digital images is presented. ...
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Measuring data‑centre workfows complexity through process mining: the Google cluster case
(Springer, 2020)Data centres have become the backbone of large Cloud services and applica-tions, providing virtually unlimited elastic ...
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Measuring Performance in Knowledge Intensive Processes
(ACM Digital Library, 2019)Knowledge-Intensive Processes (KIPs) are processes whose execution is heavily dependent on knowledge workers performing ...
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Measuring Software Process: A Systematic Mapping Study
(ACM, 2018)Context: Measurement is essential to reach predictable performance and high capability processes. It provides support for ...
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Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks
(Taylor and Francis, 2016)This paper presents a quality enhancement of the selected features by a hybrid filter-based jointly on feature ranking and ...
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Metaheuristic Optimization Frameworks: a Survey and Benchmarking
(Springer Verlag, 2012)This paper performs an unprecedented comparative study of Metaheuristic optimization frameworks. As criteria for comparison ...
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Metamorphic Relation Template v1.0 : Technical Report ISA-17-TR-01
(2017)Metamorphic testing enables the generation of test cases in the absence of an oracle by exploiting relations among ...
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Metamorphic Testing of RESTful Web APIs
(IEEE Computer Society, 2017)Web Application Programming Interfaces (APIs) allow systems to interact with each other over the network. Modern Web APIs ...
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Metamorphic Testing: A Literature Review - Version 1.3 (Technical Report ISA-16-TR-02)
(2016)A test oracle determines whether a test execution reveals a fault, often by comparing the observed program output to ...
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Metamorphic Testing: Testing the Untestable
(IEEE Computer Society, 2020) -
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Methodologies to develop Web Information Systems and Comparative Analysis
(CEPIS, 2002)New systems are currently being developed which have different aims from the systems developed some years ago. Current ...
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