Transfer Learning Approach

Transfer learning leverages knowledge gained from solving one problem to improve performance on a related but different task, thereby reducing data requirements and training time. Current research focuses on applying this technique across diverse fields, including medical image analysis (using models like Xception and Inception-ResNet-V2), robotics and reinforcement learning, and natural language processing, often employing deep learning architectures like convolutional neural networks and transformers. This approach significantly impacts various domains by enabling efficient model development in data-scarce scenarios and improving the generalization capabilities of machine learning models, leading to more robust and effective solutions.

Papers

October 19, 2024

Water quality polluted by total suspended solids classified within an Artificial Neural Network approach
I. Luviano Soto, Y. Concha Sánchez, A. Raya
Neural Network Transfer Learning Approach Neural Network Approach

June 18, 2024

Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation
Sophie Loizillon, Simona Bottani, Stéphane Mabille, Yannick Jacob, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos
Transfer Learning Magnetic Resonance Imaging Brain MRI Clinical Data Transfer Learning Approach

May 21, 2024

Transfer Learning Approach for Railway Technical Map (RTM) Component Identification
Obadage Rochana Rumalshan, Pramuka Weerasinghe, Mohamed Shaheer, Prabhath Gunathilake, Erunika Dayaratna
Optical Character Recognition High Speed Train System Gallery Style OCR Part Identification Transfer Learning Approach Faster RCNN

April 26, 2024

Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Sergio A. Serrano, Jose Martinez-Carranza, L. Enrique Sucar
Reinforcement Learning Knowledge Transfer Systematic Review Transfer Learning Approach Domain Knowledge Transfer RL Method Cross Domain Reinforcement Learning

April 11, 2024

Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach
Ioannis Panitsas, Akrit Mudvari, Ali Maatouk, Leandros Tassiulas
Deep Learning Transfer Learning Robot Handover Cellular Network Transfer Learning Approach

March 15, 2024

TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model
Changhong Hou, Junchuan Yu, Daqing Ge, Liu Yang, Laidian Xi, Yunxuan Pang, Yi Wen
Vision Foundation Model Landslide Detection Transfer Learning Approach

January 10, 2024

Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis
Xi Chen, Xingda Li
Noise Robustness Transfer Learning Approach Blood Flow Correlation Spectroscopy

November 25, 2023

nlpBDpatriots at BLP-2023 Task 2: A Transfer Learning Approach to Bangla Sentiment Analysis
Dhiman Goswami, Md Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Marcos Zampieri
Sentiment Analysis NLP Field Bangla Text Transfer Learning Approach Bangla Natural Language

October 8, 2023

Lifelong Learning for Fog Load Balancing: A Transfer Learning Approach
Maad Ebrahim, Abdelhakim Senhaji Hafid, Mohamed Riduan Abid
Lifelong Learning Transfer Learning Approach Fog Computing

July 25, 2023

Transfer Learning for Portfolio Optimization
Haoyang Cao, Haotian Gu, Xin Guo, Mathieu Rosenbaum
Transfer Learning Portfolio Optimization Transfer Learning Approach Portfolio Optimization Problem Transfer Risk

July 8, 2023

Building and Road Segmentation Using EffUNet and Transfer Learning Approach
Sahil Gangurde
Semantic Segmentation Aerial Imagery UNet Based Building PCC Segmentation Map Transfer Learning Approach Road Segmentation UNet Encoder

April 30, 2023

A Transfer Learning Approach to Minimize Reinforcement Learning Risks in Energy Optimization for Smart Buildings
Mikhail Genkin, J. J. McArthur
Deep Reinforcement Learning Reinforcement Learning Agent Energy Efficiency Transfer Learning Approach Smart Building Risk Aware Reinforcement Learning

February 26, 2023

TransferD2: Automated Defect Detection Approach in Smart Manufacturing using Transfer Learning Techniques
Atah Nuh Mih, Hung Cao, Joshua Pickard, Monica Wachowicz, Rickey Dubay
Transfer Learning Pre Trained Model Defect Detection Smart Manufacturing Transfer Learning Approach Different Pre Trained Data Enhancement

November 30, 2022

From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks
Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
Transfer Learning Action Recognition Event Description Past Action Restricted Boltzmann Machine Transfer Learning Approach

November 10, 2022

Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset
Rohit Misra, Sapna S Mishra, Tapan K. Gandhi
Synthetic Task Language Disorder Transfer Learning Approach

November 7, 2022

A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint
Gianluca Fontanesi, Anding Zhu, Mahnaz Arvaneh, Hamed Ahmadi
Reinforcement Learning Autonomous Unmanned Aerial Vehicle Transfer Learning Approach Connectivity Constraint

November 3, 2022

Conditional Generative Models for Simulation of EMG During Naturalistic Movements
Shihan Ma, Alexander Kenneth Clarke, Kostiantyn Maksymenko, Samuel Deslauriers-Gauthier, Xinjun Sheng, Xiangyang Zhu, Dario Farina
Simulation Study Conditional Generative Surface Electromyography Transfer Learning Approach Electromyography Signal

October 29, 2022

Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
Source Domain Domain Sample Transfer Learning Approach Shot Image Generation Source Target Domain

October 18, 2022

Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Dong Chen, Xinda Qi, Yu Zheng, Yuzhen Lu, Zhaojian Li
Diffusion Probabilistic Model Transfer Learning Approach Weed Detection Weed Datasets Weed Recognition

October 17, 2022

A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging
Gargi Desai, Nelly Elsayed, Zag Elsayed, Murat Ozer
Deep Learning Classification Code Covid 19 Computed Tomography Covid 19 Patient Ventilator Associated Pneumonia Transfer Learning Approach

Transfer Learning Approach

Papers

Water quality polluted by total suspended solids classified within an Artificial Neural Network approach

Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation

Transfer Learning Approach for Railway Technical Map (RTM) Component Identification

Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review

Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach

TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model

Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis

nlpBDpatriots at BLP-2023 Task 2: A Transfer Learning Approach to Bangla Sentiment Analysis

Lifelong Learning for Fog Load Balancing: A Transfer Learning Approach

Transfer Learning for Portfolio Optimization

Building and Road Segmentation Using EffUNet and Transfer Learning Approach

A Transfer Learning Approach to Minimize Reinforcement Learning Risks in Energy Optimization for Smart Buildings

TransferD2: Automated Defect Detection Approach in Smart Manufacturing using Transfer Learning Techniques

From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks

Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset

A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint

Conditional Generative Models for Simulation of EMG During Naturalistic Movements

Few-shot Image Generation via Adaptation-Aware Kernel Modulation

Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach

A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging