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Thi Thanh Sang Nguyen
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2020 – today
- 2024
- [j9]Thi Thanh Sang Nguyen, Dang Huu Trong Ho, Ngoc Tram Anh Nguyen, Pham Minh Thu Do:
A collaboration of an ontology and an autoregressive model to build an efficient chatbot model. Int. J. Intell. Inf. Database Syst. 16(3): 241-257 (2024) - 2023
- [j8]Thi Thanh Sang Nguyen, Pham Minh Thu Do, Thanh Tuan Nguyen, Thanh Tho Quan:
Transforming Data with Ontology and Word Embedding for an Efficient Classification Framework. EAI Endorsed Trans. Ind. Networks Intell. Syst. 10(2): 2 (2023) - [c12]Thanh Luan Nguyen, Thi Thanh Sang Nguyen, Adrianna Kozierkiewicz:
Hybrid Approaches to Sentiment Analysis of Social Media Data. ACIIDS (2) 2023: 87-98 - [c11]Thai Ngoc Toan Truong, Thi Thanh Sang Nguyen:
Global Knowledge-Aware and Local Attention-Aware Framework for News Recommendation. SoICT 2023: 908-915 - [i1]Nghia T. Nguyen, Long Luu, Phuong Luu Vo, Thi Thanh Sang Nguyen, Cuong T. Do, Ngoc-Thanh Nguyen:
Reinforcement Learning -based Adaptation and Scheduling Methods for Multi-source DASH. CoRR abs/2308.11621 (2023) - 2022
- [j7]Pham Minh Thu Do, Thi Thanh Sang Nguyen:
Semantic-enhanced neural collaborative filtering models in recommender systems. Knowl. Based Syst. 257: 109934 (2022) - 2021
- [c10]Hung Nguyen, Duc Long Pham, Mau Hien Doan, Thi Thanh Sang Nguyen, Duc Anh Vu Dinh, Adrianna Kozierkiewicz:
Reinforcement Learning for Optimizing Wi-Fi Access Channel Selection. ICCCI (CCIS Volume) 2021: 334-347 - [c9]Nghia T. Nguyen, Phuong Luu Vo, Thi Thanh Sang Nguyen, Quan M. Le, Cuong T. Do, Ngoc Thanh Nguyen:
A Reinforcement Learning Framework for Multi-source Adaptive Streaming. ICCCI 2021: 416-426 - [c8]Duc Duy Tran, Thi Thanh Sang Nguyen, Tran Hoang Chau Dao:
Sentiment Analysis of Movie Reviews Using Machine Learning Techniques. ICICT (1) 2021: 361-369 - 2020
- [j6]Thi Thanh Sang Nguyen, Pham Minh Thu Do:
Classification optimization for training a large dataset with Naïve Bayes. J. Comb. Optim. 40(1): 141-169 (2020) - [c7]Minh Quang Pham, Thi Thanh Sang Nguyen, Pham Minh Thu Do, Adrianna Kozierkiewicz:
Incremental SVD-Based Collaborative Filtering Enhanced with Diversity for Personalized Recommendation. ICCCI (CCIS Volume) 2020: 212-223
2010 – 2019
- 2019
- [c6]Thi Thanh Sang Nguyen:
Model-Based Book Recommender Systems using Naïve Bayes enhanced with Optimal Feature Selection. ICSCA 2019: 217-222 - 2018
- [j5]Thi Thanh Sang Nguyen, Pham Minh Thu Do, T. T. Nguyen:
Improving Customer Behaviour Prediction with the Item2Item model in Recommender Systems. EAI Endorsed Trans. Ind. Networks Intell. Syst. 5(17): e4 (2018) - [c5]Thanh Huy Ly, Song Toan Do, Thi Thanh Sang Nguyen:
Ontology-based Recommender System for the Million Song Dataset Challenge. KSE 2018: 236-241 - 2016
- [c4]Thi Thanh Sang Nguyen, Haiyan Lu:
Domain Ontology Construction Using Web Usage Data. Australasian Conference on Artificial Intelligence 2016: 338-344 - [c3]Thi Thanh Sang Nguyen:
A deep learning framework for book search. iiWAS 2016: 81-85 - 2014
- [j4]Thi Thanh Sang Nguyen, Haiyan Lu, Jie Lu:
Web-Page Recommendation Based on Web Usage and Domain Knowledge. IEEE Trans. Knowl. Data Eng. 26(10): 2574-2587 (2014) - 2012
- [b1]Thi Thanh Sang Nguyen:
Semantic-enhanced web-page recommender systems. University of Technology Sydney, Australia, 2012 - [j3]Thi Thanh Sang Nguyen, Haiyan Lu, Tich Phuoc Tran, Jie Lu:
Investigation of sequential pattern mining techniques for web recommendation. Int. J. Inf. Decis. Sci. 4(4): 293-312 (2012) - 2011
- [j2]Tich Phuoc Tran, Thi Thanh Sang Nguyen, Pohsiang Tsai, Xiaoying Kong:
BSPNN: boosted subspace probabilistic neural network for email security. Artif. Intell. Rev. 35(4): 369-382 (2011) - [j1]Tich Phuoc Tran, Thi Thanh Sang Nguyen, Kien Cuong Dang, Xiaoying Kong:
An Efficient Web-Page Recommender System using Frequent Pattern Discoveryand Dynamic Markov Models. Int. J. Web Appl. 3(1): 1-11 (2011) - 2010
- [c2]Thi Thanh Sang Nguyen, Haiyan Lu, Jie Lu:
Ontology-style Web usage model for semantic Web applications. ISDA 2010: 784-789
2000 – 2009
- 2009
- [c1]Haiyan Lu, Thi Thanh Sang Nguyen:
Experimental Investigation of PSO Based Web User Session Clustering. SoCPaR 2009: 647-652
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