Practical wildcard searchable encryption with tree‐based index
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22595
Abstract: Wildcard searchable encryption is an advanced variant of searchable encryption that can simultaneously maintain the searchability and confidentiality of the encrypted data. The wildcard searchable encryption outperforms the standard one for the fact that the… read more here.
Keywords: wildcard searchable; based index; tree based; encryption ... See more keywords
A fair comparison of tree-based and parametric methods in multiple imputation by chained equations.
Sign Up to like & getrecommendations! Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8468
Abstract: Multiple imputation by chained equations (MICE) has emerged as a leading strategy for imputing missing epidemiological data due to its ease of implementation and ability to maintain unbiased effect estimates and valid inference. Within the… read more here.
Keywords: imputation chained; imputation; multiple imputation; tree based ... See more keywords
Step-adjusted tree-based reinforcement learning for evaluating nested dynamic treatment regimes using test-and-treat observational data.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9177
Abstract: Dynamic treatment regimes (DTRs) include a sequence of treatment decision rules, in which treatment is adapted over time in response to the changes in an individual's disease progression and health care history. In medical practice,… read more here.
Keywords: decision; based reinforcement; treatment; tree based ... See more keywords
Machine learning approaches outperform distance- and tree-based methods for DNA barcoding of Pterocarpus wood
Sign Up to like & getrecommendations! Published in 2019 at "Planta"
DOI: 10.1007/s00425-019-03116-3
Abstract: AbstractMain conclusionMachine-learning approaches (MLAs) for DNA barcoding outperform distance- and tree-based methods on identification accuracy and cost-effectiveness to arrive at species-level identification of wood. DNA barcoding is a promising tool to combat illegal logging and… read more here.
Keywords: dna barcoding; distance; tree based; identification ... See more keywords
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04418-z
Abstract: Estimating the uniaxial compressive strength (UCS) of travertine rocks with an indirect modeling approach and machine learning algorithms is useful as models can reduce the cost and time required to obtain accurate measurements of UCS,… read more here.
Keywords: model; tree based; machine learning; travertine rocks ... See more keywords
Insights into fruit tree models relevant to simulate fruit tree-based agroforestry systems
Sign Up to like & getrecommendations! Published in 2024 at "Agroforestry Systems"
DOI: 10.1007/s10457-024-00953-4
Abstract: Agroforestry, the integration of trees, crops, and animals, is expected to increase environmental sustainability of fruit production compared to traditional orchards. Virtual experiments with models would allow the performance and sustainability of these systems to… read more here.
Keywords: agroforestry; tree based; fruit tree; agroforestry systems ... See more keywords
Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors
Sign Up to like & getrecommendations! Published in 2021 at "Computational Economics"
DOI: 10.1007/s10614-020-10083-5
Abstract: In this study, we nowcast quarter-over-quarter US GDP growth rates between 2000Q2 and 2018Q4 using tree-based ensemble machine learning models, namely, bagged decision trees, random forests, and stochastic gradient tree boosting. To solve the ragged… read more here.
Keywords: ensemble models; based ensemble; tree based; dynamic factors ... See more keywords
A minimum spanning tree based partitioning and merging technique for clustering heterogeneous data sets
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-020-00602-z
Abstract: Clustering being an unsupervised learning technique, has been used extensively for knowledge discovery due to its less dependency on domain knowledge. Many clustering techniques were proposed in the literature to recognize the cluster of different… read more here.
Keywords: technique; merging technique; tree based; minimum spanning ... See more keywords
Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey
Sign Up to like & getrecommendations! Published in 2024 at "Earth Science Informatics"
DOI: 10.1007/s12145-024-01259-w
Abstract: Turkey’s Artvin province is prone to landslides due to its geological structure, rugged topography, and climatic characteristics with intense rainfall. In this study, landslide susceptibility maps (LSMs) of Murgul district in Artvin province were produced.… read more here.
Keywords: landslide susceptibility; based ensemble; tree based; ensemble learning ... See more keywords
Tree based multi-category Laplacian TWSVM for content based image retrieval
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0493-3
Abstract: This paper attempts to combine Laplacian Twin Support Vector Machine (Lap-TWSVM) and Decision Tree Twin Support Vector Machine classifier to obtain an effective tree based classifier for semi-supervised multi-category classification. This classifier is termed as… read more here.
Keywords: lap twsvm; twsvm; tree based; multi category ... See more keywords
Predicting the stability of human lysozyme mutants using the tree-based classifier TTOSOM
Sign Up to like & getrecommendations! Published in 2017 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2017.01.002
Abstract: Abstract One of the primary goals of applied proteomics is the development of new computational methods for modeling the properties of the proteins from the primary structure. In this work, we used the concept of… read more here.
Keywords: lysozyme mutants; human lysozyme; tree based; biology ... See more keywords