research
∙
07/08/2023
HUMS2023 Data Challenge Result Submission
We implemented a simple method for early detection in this research. The...
share
research
∙
05/22/2023
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Brain tumors are among the most fatal and devastating diseases, often re...
research
∙
02/02/2023
SHINE: Deep Learning-Based Accessible Parking Management System
The enhancement of science and technology has helped expand urban cities...
research
∙
10/07/2022
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks
Deep Q-Networks algorithm (DQN) was the first reinforcement learning alg...
research
∙
11/08/2021
A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement
Many existing data mining algorithms use feature values directly in thei...
research
∙
07/07/2021
Levels of explainable artificial intelligence for human-aligned conversational explanations
Over the last few years there has been rapid research growth into eXplai...
research
∙
12/31/2020
New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis
Because the infection by Severe Acute Respiratory Syndrome Coronavirus 2...
research
∙
06/05/2020
Content and Context Features for Scene Image Representation
Existing research in scene image classification has focused on either co...
research
∙
06/05/2020
Scene Image Representation by Foreground, Background and Hybrid Features
Previous methods for representing scene images based on deep learning pr...
research
∙
05/06/2020
A Comprehensive Survey on Outlying Aspect Mining Methods
In recent years, researchers have become increasingly interested in outl...
research
∙
04/28/2020
A new effective and efficient measure for outlying aspect mining
Outlying Aspect Mining (OAM) aims to find the subspaces (a.k.a. aspects)...
research
∙
03/22/2020
HDF: Hybrid Deep Features for Scene Image Representation
Nowadays it is prevalent to take features extracted from pre-trained dee...
research
∙
09/27/2019
Improved histogram-based anomaly detector with the extended principal component features
In this era of big data, databases are growing rapidly in terms of the n...
research
∙
09/24/2019
Unsupervised Deep Features for Privacy Image Classification
Sharing images online poses security threats to a wide range of users du...
research
∙
09/22/2019
Tag-based Semantic Features for Scene Image Classification
The existing image feature extraction methods are primarily based on the...
research
∙
06/12/2019
Indoor image representation by high-level semantic features
Indoor image features extraction is a fundamental problem in multiple fi...
research
∙
02/09/2019