Search alternatives:
orientation » presentation (Expand Search)
fragmentation » segmentation (Expand Search)
augmentation » segmentation (Expand Search)
orientation » presentation (Expand Search)
fragmentation » segmentation (Expand Search)
augmentation » segmentation (Expand Search)
-
1
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”
-
2
Towards Multimedia Fragmentation
Published 2006“…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
3
K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation
Published 2022“…This paper introduces K Nearest Neighbor OveRsampling (KNNOR) Algorithm — a novel data augmentation technique that considers the distribution of data and takes into account the k nearest neighbors while generating artificial data points. …”
-
4
Oversampling techniques for imbalanced data in regression
Published 2024“…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …”
-
5
KNNOR: An oversampling technique for imbalanced datasets
Published 2021“…The proposed technique called K-Nearest Neighbor OveRsampling approach (KNNOR) performs a three step process to identify the critical and safe areas for augmentation and generate synthetic data points of the minority class. …”
-
6
The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation
Published 2007“…We particularly discuss multimedia primary horizontal fragmentation and focus on semantic-based textual predicates implication required as a pre-process in current fragmentation algorithms in order to partition multimedia data efficiently. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
7
-
8
Efficient Approximate Conformance Checking Using Trie Data Structures
Published 2021“…We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …”
Get full text
Get full text
Get full text
-
9
-
10
-
11
Mapping realistic data sets on parallel computers
Published 1993“…The authors propose reducing the problem size by a mapping-oriented graph contraction technique. They present a graph contraction (GC) heuristic algorithm that yields a smaller representation of the problem, to which mapping is then applied. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
12
Graph Contraction for Mapping Data on Parallel Computers
Published 1994“…Then we present a mapping-oriented parallel graph contraction (PGC) heuristic algorithm that yields a smaller representation of the problem to which mapping is then applied. …”
Get full text
Get full text
Get full text
article -
13
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
Published 2021Get full text
doctoralThesis -
14
An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …”
Get full text
Get full text
Get full text
article -
15
Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
Published 2025“…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …”
-
16
Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
Published 2017“…This paper reviews testing procedures, data analysis, updated algorithms used for joint detection, and discusses the latest round of testing in samples with simulated joints at various angles along the borehole.…”
Get full text
Get full text
Get full text
conferenceObject -
17
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Published 2021“…A detailed analysis of the ML pipelines is provided, and the in-demand methods and algorithms are summarized in augmentative tables and figures. …”
Get full text
article -
18
Software defect prediction. (c2019)
Published 2019Get full text
Get full text
Get full text
masterThesis -
19
Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform
Published 2022“…Furthermore, to assess the overhead of the proposed privacy algorithms on the trading execution time, we conduct several experiments considering different anonymity levels <i>k</i> . …”
-
20