Malika Bendechache | DeepAI

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∙ 09/09/2023

AudRandAug: Random Image Augmentations for Audio Classification

Data augmentation has proven to be effective in training neural networks...

0 Teerath Kumar, et al. ∙

∙ 01/07/2023

Advanced Data Augmentation Approaches: A Comprehensive Survey and Future directions

Deep learning (DL) algorithms have shown significant performance in vari...

6 Teerath Kumar, et al. ∙

∙ 10/03/2022

Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets

Over the years, the paradigm of medical image analysis has shifted from ...

10 Sidra Aleem, et al. ∙

∙ 06/15/2022

Investigating Multi-Feature Selection and Ensembling for Audio Classification

Deep Learning (DL) algorithms have shown impressive performance in diver...

0 Muhammad Turab, et al. ∙

∙ 02/01/2018

Distributed Clustering Algorithm for Spatial Data Mining

Distributed data mining techniques and mainly distributed clustering are...

0 Malika Bendechache, et al. ∙

∙ 02/01/2018

Hierarchical Aggregation Approach for Distributed clustering of spatial datasets

In this paper, we present a new approach of distributed clustering for s...

0 Malika Bendechache, et al. ∙

∙ 10/26/2017

Distributed Spatial Data Clustering as a New Approach for Big Data Analysis

In this paper we propose a new approach for Big Data mining and analysis...

0 Malika Bendechache, et al. ∙

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