A recommendation mechanism for under-emphasized tourist spots using topic modeling and sentiment analysis W Shafqat, YC Byun Sustainability 12 (1), 320, 2019 | 43 | 2019 |
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 | 36 | 2016 |
A hybrid GAN-based approach to solve imbalanced data problem in recommendation systems W Shafqat, YC Byun IEEE access 10, 11036-11047, 2022 | 34 | 2022 |
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 | 29 | 2021 |
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 | 27 | 2019 |
A context-aware location recommendation system for tourists using hierarchical LSTM model W Shafqat, YC Byun Sustainability 12 (10), 4107, 2020 | 26 | 2020 |
Enabling “Untact” Culture via Online Product Recommendations: An Optimized Graph-CNN based Approach W Shafqat, YC Byun Applied Sciences 10 (16), 5445, 2020 | 17 | 2020 |
Incorporating similarity measures to optimize graph convolutional neural networks for product recommendation W Shafqat, YC Byun Applied Sciences 11 (4), 1366, 2021 | 16 | 2021 |
Generating Synthetic Data to Reduce Prediction Error of Energy Consumption. D Hazra, W Shafqat, YC Byun Computers, Materials & Continua 70 (2), 2022 | 12 | 2022 |
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 | 11 | 2022 |
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 | 11 | 2021 |
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 | 6 | 2020 |
Backers Beware: Characteristics and Detection of Fraudulent Crowdfunding Campaigns SH Lee, W Shafqat, H Kim Sensors 22 (19), 7677, 2022 | 5 | 2022 |
Identifying topics: Analysis of crowdfunding comments in scam campaigns W Shafqat, Y Byun International Conference on Software Engineering, Artificial Intelligence …, 2018 | 4 | 2018 |
Evaluating Complex Entity Knowledge Propagation for Knowledge Editing in LLMs W Shafqat, SH Na Applied Sciences 14 (4), 1508, 2024 | 3 | 2024 |
A Hybrid Approach for Topic Discovery and Recommendations Based on Topic Modeling and Deep Learning W Shafqat 제주대학교 대학원, 2020 | 2 | 2020 |
Crowdfunding Scams: Analysis and Classification with Transfer Learning W Shafqat, YC Byun, C Kang 한국콘텐츠학회 ICCC 논문집, 41-42, 2017 | 1 | 2017 |
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 |