[HTML][HTML] Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking …
This study presents a systematic review of artificial intelligence (AI) techniques used in the
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …
Comprehensive insights into evaluation and benchmarking of real-time skin detectors: Review, open issues & challenges, and recommended solutions
Abstract Evaluation and benchmarking of real-time skin detectors remain challenging
because of multiple evaluation attributes that must be considered. Numerous evaluation and …
because of multiple evaluation attributes that must be considered. Numerous evaluation and …
Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on …
Context People who have recently recovered from the threat of deteriorating coronavirus
disease-2019 (COVID-19) have antibodies to the coronavirus circulating in their blood …
disease-2019 (COVID-19) have antibodies to the coronavirus circulating in their blood …
Video pornography detection through deep learning techniques and motion information
Recent literature has explored automated pornographic detection–a bold move to replace
humans in the tedious task of moderating online content. Unfortunately, on scenes with high …
humans in the tedious task of moderating online content. Unfortunately, on scenes with high …
Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology
This study aimed to develop a new methodology for evaluating and benchmarking a multi-
agent learning neural network and Bayesian model for real-time skin detectors based on …
agent learning neural network and Bayesian model for real-time skin detectors based on …
Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making …
Evaluation and benchmarking of skin detectors are challenging tasks because of multiple
evaluation attributes and conflicting criteria. Although several evaluating and benchmarking …
evaluation attributes and conflicting criteria. Although several evaluating and benchmarking …
Deep feature learnt by conventional deep neural network
H Niu, W Xu, H Akbarzadeh, H Parvin… - Computers & Electrical …, 2020 - Elsevier
In this paper, we introduce an approach to discriminate unconventional images and their
intelligent filtering. As the target data to this issue are huge and consequently, a handling …
intelligent filtering. As the target data to this issue are huge and consequently, a handling …
A mid-level video representation based on binary descriptors: A case study for pornography detection
With the growing amount of inappropriate content on the Internet, such as pornography,
arises the need to detect and filter such material. The reason for this is given by the fact that …
arises the need to detect and filter such material. The reason for this is given by the fact that …
Semi-supervised skin detection by network with mutual guidance
We present a new data-driven method for robust skin detection from a single human portrait
image. Unlike previous methods, we incorporate human body as a weak semantic guidance …
image. Unlike previous methods, we incorporate human body as a weak semantic guidance …
Your AI is a human
ST Roberts - 2021 - direct.mit.edu
I say this to provoke debate and to speak metaphorically to a certain extent, but I also mean
this literally: in the cases that I will describe herein, the tools and processes that you may …
this literally: in the cases that I will describe herein, the tools and processes that you may …