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Mostrando ítems 261-270 de 362
Ponencia
Monte Carlo Tree Search for Feature Model Analyses: a General Framework for Decision-Making
(Association for Computing Machinery (ACM), 2021)
The colossal solution spaces of most configurable systems make intractable their exhaustive exploration. Accordingly, relevant anal-yses remain open research problems. There exist analyses alterna-tives such as SAT ...
Ponencia
Evolutionary computation to explain deep learning models for time series forecasting
(Association for Computing Machinery, 2023-06)
Deep learning has become one of the most useful tools in the last years to mine information from large datasets. Despite the successful application to many research fields, deep learning is known as a black box approach ...
Artículo
CAFE: Knowledge graph completion using neighborhood-aware features
(Elsevier, 2021)
Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because KGs are often constructed automatically by means of information extraction processes, they ...
Artículo
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 by a feature model. Typically, it does not make sense to test all products defined by an SPL and ...
Artículo
A domain-specific language for the specification of UCON policies
(Elsevier, 2022)
Security policies constrain the behavior of all users of an information system. In any non-trivial system, these security policies go beyond simple access control rules and must cover more complex and dynamic scenarios while ...
Artículo
On validating web information extraction proposals
(Elsevier, 2022)
Many people who have to make informed decisions in today’s always-on culture use information extractors to feed their systems with information that comes from human-friendly documents. Unfortunately, many proposals that ...
Capítulo de Libro
Process Instance Query Language and the Process Querying Framework
(Springer, 2022)
The use of Business Process Management Systems (BPMSs) allows com panies to manage the data that flows through process models (business instances) and to monitor all the information and actions concerning a process ...
Artículo
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm
(Wiley, 2022)
The safety operation and management of hydropower dam play a critical role in social-economic development and ensure people’s safety in many countries; therefore, modeling and forecasting the hydropower dam’s deformations ...
Artículo
PHILNet: A novel efficient approach for time series forecasting using deep learning
(ScienceDirect, 2023)
Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior can be useful in planning ahead, saving time, resources, and helping avoid undesired scenarios. ...
Artículo
On exploring data lakes by finding compact, isolated clusters
(Elsevier, 2022)
Data engineers are very interested in data lake technologies due to the incredible abun dance of datasets. They typically use clustering to understand the structure of the datasets before applying other methods to infer ...