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An evaluation of transfer learning models in EEG-based authentication
Electroencephalogram(EEG)-based authentication has received increasing attention from researchers as they believe it could serve as an alternative to...
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Facial emotion recognition based on deep transfer learning approach
Facial expressions play a major role in the communication of emotions through nonverbal channels. In recent years, the topic of automatic facial...
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Safe and Robust Transfer Learning
In this chapter, we discuss the safety and robustness of transfer learning. By safety, we refer to its defense and solutions against attack and data...
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Transfer learning-based self-learning intrusion detection system for in-vehicle networks
Controller area networks (CANs) are the de-facto standard for in-vehicle networks and enable real-time data communication between the electronic...
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Feature-based transfer learning
In this segment, feature-based transfer learning approaches are introduced. Specifically, we introduce two main categories: explict distance and...
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SETL: a transfer learning based dynamic ensemble classifier for concept drift detection in streaming data
Concept drift is one of the most prominent issues in streaming data that machine learning models need to address. Most of the research in the field...
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Artificial intelligence for detection of lung cancer using transfer learning and morphological features
Lung cancer is an uncontrolled growth of tissue causing a lump in the human lung. If lung cancer can be detected early, it can increase the survival...
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A Novel Transfer Learning Method for Code Smell Detection on Heterogeneous Data: A Feasibility Study
Code smell detection has been primarily focused on homogeneous data. However, due to diverse sources of data, in a real-life scenario, the unseen...
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Automated detection of COVID-19 based on transfer learning
The world has recently experienced unprecedented disruptions due to the COVID-19 pandemic, which have greatly impacted daily life. Deep Learning (DL)...
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Multi-source deep transfer learning algorithm based on feature alignment
With the deepening of transfer learning research, researchers are no longer satisfied with the classification of knowledge in a single field but hope...
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Deep transfer learning-based automated detection of blast disease in paddy crop
A major proportion of the loss faced by the agricultural industry originates from the diseases of the crop during cultivation. Paddy crop is one of...
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A multi-classifier system for automatic fingerprint classification using transfer learning and majority voting
Fingerprints fulfill a critical role in the context of community safety and criminal investigations, especially for forensic investigations, law...
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Transfer Learning in Complex Environments
The application environment is dynamically changing, so does the algorithm. In order to cope with the changing environment, there are several new...
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An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning
Multi-class brain tumor classification is an important area of research in the field of medical imaging because of the different tumor...
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A transfer learning-based brain tumor classification using magnetic resonance images
The brain is one of the most important and complex organs responsible for controlling the functions of the human body. Brain tumors are among the...
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From multi-label learning to cross-domain transfer: a model-agnostic approach
In multi-label learning it has been widely assumed in the literature that, to obtain best accuracy, the dependence among the labels should be...
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A Transfer Learning Algorithm Based on Support Vector Machine
In many scenarios of classification, test and training data must come from same feature space and have same distribution. However, this assumption...
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Transfer Learning-Based Evolutionary Multi-task Optimization
Multi-task optimization (MTO) is an emerging research topic to optimize multiple related tasks simultaneously. It aims to enhance task...
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Wildfire detection via transfer learning: a survey
This paper presents a comprehensive survey of publicly available neural network models specifically designed for detecting wildfires using regular...
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A comparative study of grape crop disease classification using various transfer learning techniques
Grapes are one of the fruits, which provides a significant source of Vitamin C. Like the other plant diseases, grapes plants are also affected some...
