Search
Search Results
-
Fairness-aware machine learning engineering: how far are we?
Machine learning is part of the daily life of people and companies worldwide. Unfortunately, bias in machine learning algorithms risks unfairly...
-
Strengthening KMS Security with Advanced Cryptography, Machine Learning, Deep Learning, and IoT Technologies
This paper presents an innovative approach to strengthening Key Management Systems (KMS) against the escalating landscape of cyber threats by...
-
Robust Machine Learning Distributed Methods for Safe AI
Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of...
-
Explanatory machine learning for sequential human teaching
The topic of comprehensibility of machine-learned theories has recently drawn increasing attention. Inductive logic programming uses logic...
-
A survey on deep learning and machine learning techniques over histopathology image based Osteosarcoma Detection
Osteosarcoma is a common type of cancer that occurs in the cells and spreads to the bones. Osteosarcoma can develop due to genetic mutations, but...
-
English–Vietnamese Machine Translation Using Deep Learning for Chatbot Applications
Recently, artificial intelligence-based machine translation has been much improved over traditional methods. A machine translator is very useful for...
-
Predicting Violent Extremism with Machine Learning: A Sco** Review
The purpose of this sco** review is to highlight the machine learning tools used in research to address and prevent violent extremism. To achieve...
-
Probability cost function based weighted extreme learning machine
Standard extreme learning machine has good generalization performance and fast learning speed, but has the disadvantage of degrading performance for...
-
Machine learning from casual conversation
Human social learning is an effective process that has inspired many existing machine learning approaches, such as learning from observation and learni...
-
Combining Deep Learning with Good Old-Fashioned Machine Learning
We present a comprehensive, stacking-based framework for combining deep learning with good old-fashioned machine learning, called Deep GOld. Our...
-
COVID-19 classification based on a deep learning and machine learning fusion technique using chest CT images
Coronavirus disease (COVID-19), impacted by SARS-CoV-2, is one of the greatest challenges of the twenty-first century. COVID-19 broke out in the...
-
Federated Machine Learning
While presenting the basics of machine learning in the previous chapter, we assumed that we had access to a training sample...
-
Skin cancer detection using ensemble of machine learning and deep learning techniques
Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able to diagnose it accurately. In particular, melanoma is a...
-
Machine Learning and Deep Learning Algorithms
This chapter provides a brief overview of how machine learning and deep learning algorithms are trained for biomedical natural language processing...
-
Ensemble learning based-features extraction for brain mr images classification with machine learning classifiers
In general, different neuroimaging methods including Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Positron Emission Tomography...
-
A machine learning-based optimization approach for pre-copy live virtual machine migration
Organizations widely use cloud computing to outsource their computing needs. One crucial issue of cloud computing is that services must be available...
-
Diabetes prediction model using machine learning techniques
Diabetes has emerged as a significant global health concern, contributing to various severe complications such as kidney disease, vision loss, and...
-
Legislative Text Analysis from Judicial Case Reports Using Machine Learning
This paper aims to automate the process of legislative text analysis from judicial case reports to identify applicable law sections for the cases....
-
Machine learning-based early detection of diabetes risk factors for improved health management
This research requires to improve the accuracy of early diabetic forecasting in a human body or patient by applying diverse machine learning...
-
Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review
The domain of Machine learning has experienced Substantial advancement and development. Recently, showcasing a Broad spectrum of uses like...
