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Wafa Shafqat
Wafa Shafqat
Staff Researcher
Verified email at jejunu.ac.kr
Title
Cited by
Cited by
Year
The language of deceivers: Linguistic features of crowdfunding scams
W Shafqat, S Lee, S Malik, H Kim
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
352016
A recommendation mechanism for under-emphasized tourist spots using topic modeling and sentiment analysis
W Shafqat, YC Byun
Sustainability 12 (1), 320, 2019
312019
PSO based optimized ensemble learning and feature selection approach for efficient energy forecast
W Shafqat, S Malik, KT Lee, DH Kim
Electronics 10 (18), 2188, 2021
232021
Topic predictions and optimized recommendation mechanism based on integrated topic modeling and deep neural networks in crowdfunding platforms
W Shafqat, YC Byun
Applied Sciences 9 (24), 5496, 2019
182019
A hybrid GAN-based approach to solve imbalanced data problem in recommendation systems
W Shafqat, YC Byun
IEEE access 10, 11036-11047, 2022
172022
Enabling “Untact” Culture via Online Product Recommendations: An Optimized Graph-CNN based Approach
W Shafqat, YC Byun
Applied Sciences 10 (16), 5445, 2020
172020
Incorporating similarity measures to optimize graph convolutional neural networks for product recommendation
W Shafqat, YC Byun
Applied Sciences 11 (4), 1366, 2021
152021
A context-aware location recommendation system for tourists using hierarchical LSTM model
W Shafqat, YC Byun
Sustainability 12 (10), 4107, 2020
152020
A feature selection-based predictive-learning framework for optimal actuator control in smart homes
S Malik, W Shafqat, KT Lee, DH Kim
Actuators 10 (4), 84, 2021
102021
A comprehensive predictive-learning framework for optimal scheduling and control of smart home appliances based on user and appliance classification
W Shafqat, KT Lee, DH Kim
Sensors 23 (1), 127, 2022
62022
Generating Synthetic Data to Reduce Prediction Error of Energy Consumption.
D Hazra, W Shafqat, YC Byun
Computers, Materials & Continua 70 (2), 2022
62022
Effectiveness of machine learning approaches towards credibility assessment of crowdfunding projects for reliable recommendations
W Shafqat, YC Byun, N Park
Applied Sciences 10 (24), 9062, 2020
42020
Identifying topics: Analysis of crowdfunding comments in scam campaigns
W Shafqat, Y Byun
Software Engineering, Artificial Intelligence, Networking and Parallel …, 2019
42019
Backers Beware: Characteristics and Detection of Fraudulent Crowdfunding Campaigns
SH Lee, W Shafqat, H Kim
Sensors 22 (19), 7677, 2022
22022
A Hybrid Approach for Topic Discovery and Recommendations Based on Topic Modeling and Deep Learning
W Shafqat
제주대학교 대학원, 2020
22020
Crowdfunding Scams: Analysis and Classification with Transfer Learning
W Shafqat, YC Byun, C Kang
한국콘텐츠학회 ICCC 논문집, 41-42, 2017
12017
Evaluating Complex Entity Knowledge Propagation for Knowledge Editing in LLMs
W Shafqat, SH Na
Applied Sciences 14 (4), 1508, 2024
2024
Real-time Energy Management Control using Reinforcement based Predictive Learning in Smart Homes
W Shafqat, KT Lee, JG Ki, DH Kim
대한전자공학회 학술대회, 2182-2183, 2022
2022
GAN and Optimized Ensemble Learning for Enhancing Prediction Accuracy of Smart Home Energy Consumption
W Shafqat, KT Lee, SY Nam, DH Kim
대한전자공학회 학술대회, 2009-2011, 2022
2022
Ensemble Learning on PSO based Predictive-Learning Framework for Optimal Actuator Control in Smart Homes
W Shafqat, S Malik, KT Lee, DH Kim
대한전자공학회 학술대회, 1809-1810, 2021
2021
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