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BanglaLekhaImageCaptions dataset
The BanglaLekhaImageCaptions dataset is a modified version of the dataset introduced in [24]. It contains 9,154 images with two captions for each image. -
MD17 dataset
The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging. -
Flickr2K dataset
The Flickr2K dataset is a low-resolution image dataset used for image super-resolution tasks. -
ImageNet-1k dataset
The ImageNet-1k dataset is used as the backbone network for the proposed DEYOv2 model. -
COCO 2017 object detection dataset
The COCO 2017 object detection dataset is used in this paper for evaluation of the proposed DEYOv2 model. -
Hospital Expenditures Dataset
The Hospital expenditures dataset represents a binary classification task of predicting whether a person would have high or low utilization of medical expenditures. -
Hospital Readmission Dataset
The Hospital readmission dataset represents a binary classification task where label 1 means that patient is readmitted within 30 days. -
German Credit Dataset
The German credit dataset is a dataset used for classification tasks, and it contains sensitive attributes such as credit history. -
Fair Adversarial Instance Re-weighting (FAIR)
The proposed framework was tested on four datasets, three of which are commonly used benchmarks. Two datasets (German credit and Adult income) come from the UCI ML repository... -
Kodak PhotoCD dataset
The dataset used in the paper is the Kodak PhotoCD dataset, which contains twenty-four 768 × 512 images. -
RGB-D Salient Object Detection Datasets
The datasets used for training and testing the proposed CoLA method. -
ASSIST Dataset
The ASSIST dataset is an open dataset collected by the ASSISTments online tutoring systems. -
Math Dataset
The Math dataset is collected from the widely-used online learning system Zhixue1, which contains mathematical exercises and logs of high school examinations. -
Sms smishing collection data set
Sms smishing collection data set -
Using-machine-learning-to-detect-malicious-urls
Using-machine-learning-to-detect-malicious-urls