| Mining and classifying customer reviews: a survey L Subhashini, Y Li, J Zhang, AS Atukorale, Y Wu Artificial Intelligence Review, 1-47, 2021 | 49 | 2021 |
| How artificial intelligence uses to achieve the agriculture sustainability: Systematic review V Sachithra, L Subhashini Artificial Intelligence in Agriculture 8, 46-59, 2023 | 47 | 2023 |
| A neural network based model for project risk and talent management N Goonawardene, S Subashini, N Boralessa, L Premaratne Advances in Neural Networks-ISNN 2010: 7th International Symposium on Neural …, 2010 | 22 | 2010 |
| Integration of fuzzy logic and a convolutional neural network in three-way decision-making L Subhashini, Y Li, J Zhang, AS Atukorale Expert Systems with Applications 202, 117103, 2022 | 21 | 2022 |
| Integration of fuzzy and deep learning in three-way decisions L Subhashini, Y Li, J Zhang, AS Atukorale 2020 international conference on data mining workshops (ICDMW), 71-78, 2020 | 16 | 2020 |
| Assessing the effectiveness of a three-way decision-making framework with multiple features in simulating human judgement of opinion classification L Subhashini, Y Li, J Zhang, AS Atukorale Information Processing & Management 59 (2), 102823, 2022 | 9 | 2022 |
| Integration of semantic patterns and fuzzy concepts to reduce the boundary region in three-way decision-making L Subhashini, Y Li, J Zhang, AS Atukorale Information Sciences 595, 257-277, 2022 | 8 | 2022 |
| Opinion Classification using Pattern Mining and Fuzzy Logic LDCS Subhashini, Y Li, J Zhang, A Athukorale 2018 18th International Conference on Advances in ICT for Emerging Regions …, 2018 | 7 | 2018 |
| Integration of fuzzy and lstm in three-way decisions L Subhashini, Y Li, J Zhang, AS Atukorale 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2020 | 4 | 2020 |
| Three-way framework using fuzzy concepts and semantic rules in opinion classification L Subhashini, Y Li, J Zhang, AS Atukorale Australasian Joint Conference on Artificial Intelligence, 110-121, 2020 | 4 | 2020 |
| Landslide prediction using artificial neural networks L Subhashini, HL Premaratne | 2 | 2012 |
| Premaratne (2013),“ L Subhashini Landslide Prediction Using Artificial Neural Networks, 0 | 2 | |
| PREDICTIVE MODEL FOR CREDIT RISK MANAGEMENT IN LEASING FIRMS: A CASE STUDY OF SRI LANKA LI Assalaarachchi, R Wijesooriya, L Subhashini SRI LANKA FORUM OF UNIVERSITY ECONOMISTS, 84, 2024 | | 2024 |
| Dual focus of Technology Acceptance and TechnologyResistant Model: Deep Learning Approach L Subhashini, V Sachithra, US Samarasinghe | | 2024 |
| PoS tag-based Attention for Feature Selection in Sentiment Analysis K Kanakkahewa, WA Mohotti, L Subhashini | | 2023 |
| Integration of multiple features and deep learning for opinion classification SS Lidhamullage Dhon Charles Queensland University of Technology, 2022 | | 2022 |
| AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings M Gallagher, N Moustafa, E Lakshika Springer Nature, 2020 | | 2020 |
| LANDSLIDES PREDICTON BASED ON NEURAL NETWORK AND REMOTE SENSING DATA L Kalpana, L Subhashini Sustainability for people, 25, 2018 | | 2018 |
| Landslides Prediction Based On Neural Network And Remote Sensing Data LDCS Kalpana, L.D.C.H., Subhashini FARU - Faculty of Architecture Research Unit, 2018 | | 2018 |
| Opinion classification using pattern mining and fuzzy logic SS Lidhamullage Dhon Charles, Y Li, J Zhang, A Atukorale Proceedings of the 2018 18th International Conference on Advances in ICT for …, 2018 | | 2018 |
Professor Yuefeng LiQueensland university of technologyDirección de correo verificada de qut.edu.au