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2020 – today
- 2024
[j17]Shivangi Gheewala
, Shuxiang Xu, Soonja Yeom, Sumbal Maqsood:
Exploiting deep transformer models in textual review based recommender systems. Expert Syst. Appl. 235: 121120 (2024)- 2023
- [j16]Sabera Hoque, Shuxiang Xu, Ananda Maiti, Yuchen Wei, Md. Yasir Arafat:
Deep learning for 6D pose estimation of objects - A case study for autonomous driving. Expert Syst. Appl. 223: 119838 (2023) - [j15]Bodrunnessa Badhon, Mir Md Jahangir Kabir, Md. Asifur Rahman, Shuxiang Xu:
SQ-FMFO: A Novel Scalarized Multi-objective Q-Learning Approach for Fuzzy Membership Function Optimization. Int. J. Fuzzy Syst. 25(2): 633-646 (2023) - [j14]Rami Mohawesh, Shuxiang Xu, Matthew Springer, Yaser Jararweh, Muna Al-Hawawreh, Sumbal Maqsood:
An explainable ensemble of multi-view deep learning model for fake review detection. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101644 (2023) - [c26]Qibu Xiang, Shuxiang Xu, Yushun Fan, Jia Zhang:
SparkACO: A Spark-Based Ant Colony Optimization for Path Planning of Large-Scale Complex Road Networks. BigDataService 2023: 173-180 - [c25]Shuxiang Xu, Qibu Xiang, Yushun Fan, Ruyu Yan, Jia Zhang:
A Novel Neighborhood-Augmented Graph Attention Network for Sequential Recommendation. CICAI (2) 2023: 229-241 - [c24]Shuxiang Xu, Qibu Xiang, Yushun Fan, Ruyu Yan, Jia Zhang:
Exploiting Category Information in Sequential Recommendation. ICSOC (1) 2023: 51-66 - 2022
- [j13]Sumbal Maqsood, Shuxiang Xu, Son N. Tran, Saurabh Garg, Matthew Springer, Mohan Karunanithi, Rami Mohawesh:
A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors. Expert Syst. Appl. 197: 116788 (2022) - [j12]Yuchen Wei, Shuxiang Xu, Byeong Kang, Sabera Hoque:
Generating training images with different angles by GAN for improving grocery product image recognition. Neurocomputing 488: 694-705 (2022) - 2021
- [j11]Rami Mohawesh, Shuxiang Xu, Son N. Tran, Robert Ollington, Matthew Springer, Yaser Jararweh, Sumbal Maqsood:
Fake Reviews Detection: A Survey. IEEE Access 9: 65771-65802 (2021) - [j10]Sumbal Maqsood, Shuxiang Xu, Matthew Springer, Rami Mohawesh:
A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG). IEEE Access 9: 138817-138833 (2021) - [j9]Sabera Hoque, Md. Yasir Arafat, Shuxiang Xu, Ananda Maiti, Yuchen Wei:
A Comprehensive Review on 3D Object Detection and 6D Pose Estimation With Deep Learning. IEEE Access 9: 143746-143770 (2021) - [j8]Rami Mohawesh, Son N. Tran, Robert Ollington, Shuxiang Xu:
Analysis of concept drift in fake reviews detection. Expert Syst. Appl. 169: 114318 (2021) - [i1]Rami Mohawesh, Shuxiang Xu, Matthew Springer, Muna Al-Hawawreh, Sumbal Maqsood:
Fake or Genuine? Contextualised Text Representation for Fake Review Detection. CoRR abs/2112.14343 (2021) - 2020
- [j7]Yuchen Wei, Son N. Tran, Shuxiang Xu, Byeong Ho Kang, Matthew Springer:
Deep Learning for Retail Product Recognition: Challenges and Techniques. Comput. Intell. Neurosci. 2020: 8875910:1-8875910:23 (2020) - [j6]Saman Forouzandeh, Atae Rezaei Aghdam, Soran Forouzandeh, Shuxiang Xu:
Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook. Comput. Sci. Eng. 22(4): 62-73 (2020) - [c23]Yuchen Wei, Shuxiang Xu, Son N. Tran, Byeong Ho Kang:
Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition. ICARCV 2020: 963-968
2010 – 2019
- 2019
- [c22]Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu, Dewan Md. Farid:
An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification. SKIMA 2019: 1-6 - 2018
- [j5]Saman Forouzandeh, Amir Sheikhahmadi, Atae Rezaei Aghdam, Shuxiang Xu:
New centrality measure for nodes based on user social status and behavior on Facebook. Int. J. Web Inf. Syst. 14(2): 158-176 (2018) - 2017
- [j4]Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao:
A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules. Expert Syst. Appl. 74: 55-69 (2017) - 2016
- [c21]Amanda Lunt, Shuxiang Xu:
An Empirically-Sourced Heuristic for Predetermining the Size of the Hidden Layer of a Multi-layer Perceptron for Large Datasets. Australasian Conference on Artificial Intelligence 2016: 542-547 - [c20]Bridgette Kaminski, Rainer Wasinger, Kimberley Norris, Chris Zehntner, Shuxiang Xu, Winyu Chinthammit, Henry B. L. Duh:
Learning through shared note-taking visualisations in the classroom. OZCHI 2016: 576-580 - [c19]Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao:
Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules. PAKDD Workshops 2016: 61-72 - 2015
- [j3]Zongyuan Zhao, Shuxiang Xu, Byeong Ho Kang, Mir Md Jahangir Kabir, Yunling Liu, Rainer Wasinger:
Investigation and improvement of multi-layer perception neural networks for credit scoring. Expert Syst. Appl. 42(7): 3508-3516 (2015) - [c18]Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao:
Comparative analysis of genetic based approach and Apriori algorithm for mining maximal frequent item sets. CEC 2015: 39-45 - [c17]Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao:
Discovery of Interesting Association Rules Using Genetic Algorithm with Adaptive Mutation. ICONIP (2) 2015: 96-105 - [c16]Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao:
A New Evolutionary Algorithm for Extracting a Reduced Set of Interesting Association Rules. ICONIP (2) 2015: 133-142 - 2012
- [c15]Shuxiang Xu, Yunling Liu:
HONNs with ELM algorithm for medical applications. ICARCV 2012: 1215-1219 - 2010
- [j2]Shuxiang Xu:
Data Mining Using Higher Order Neural Network Models With Adaptive Neuron Activation Functions. Int. J. Adv. Comp. Techn. 2(4): 168-177 (2010) - [c14]Shuxiang Xu:
Data Mining Using an Adaptive HONN Model with Hyperbolic Tangent Neurons. PKAW 2010: 73-81
2000 – 2009
- 2009
- [c13]Shuxiang Xu, Ling Chen:
Adaptive Higher Order Neural Networks for Effective Data Mining. ISNN (4) 2009: 165-173 - 2008
- [c12]Shuxiang Xu, Ling Chen:
Application of New Adaptive Higher Order Neural Networks in Data Mining. CSSE (1) 2008: 115-118 - 2007
- [c11]Shuxiang Xu, Ming Zhang:
A New Adaptive Neural Network Model for Financial Data Mining. ISNN (1) 2007: 1265-1273 - 2005
- [c10]Shuxiang Xu, Ming Zhang:
Data Mining - An Adaptive Neural Network Model for Financial Analysis. ICITA (1) 2005: 336-340 - 2004
- [c9]Ming Zhang, Shuxiang Xu, John Fulcher:
Adaptive-Neuron Artificial Neural Network Features. IC-AI 2004: 119-125 - 2002
- [j1]Ming Zhang, Shuxiang Xu, John Fulcher:
Neuron-adaptive higher order neural-network models for automated financial data modeling. IEEE Trans. Neural Networks 13(1): 188-204 (2002) - [c8]Shuxiang Xu, Ming Zhang:
An Adaptive Activation Function for Higher Order Neural Networks. Australian Joint Conference on Artificial Intelligence 2002: 356-362 - 2001
- [c7]Daniel Hulme, Shuxiang Xu:
Application of Genetic Algorithms to the Optimisation of Neural Network Configuration for Stock Market Forecasting. Australian Joint Conference on Artificial Intelligence 2001: 285-296 - 2000
- [c6]Shuxiang Xu, Ming Zhang:
Justification of a Neuron-Adaptive Activation Function. IJCNN (3) 2000: 465-470
1990 – 1999
- 1999
- [c5]Ming Zhang, Twatchai Tanguairuang, Shuxiang Xu, Nawaiz I. Khan, Jianwen Chen, Roderick A. Scofield:
ANSER-Plus Expert System for Estimating Heavy Rainfall from Satellite Data. Applied Informatics 1999: 323-326 - [c4]Shuxiang Xu, Ming Zhang:
Adaptive higher-order feedforward neural networks. IJCNN 1999: 328-332 - [c3]Ming Zhang, Shuxiang Xu, Bo Lu:
Neuron-adaptive higher order neural network group models. IJCNN 1999: 333-336 - [c2]Shuxiang Xu, Ming Zhang:
Approximation to continuous functionals and operators using adaptive higher-order feedforward neural networks. IJCNN 1999: 370-374 - [c1]Shuxiang Xu, Ming Zhang:
A model auto-selection financial data simulation software using neuron-adaptive feedforward neural networks. IJCNN 1999: 3836-3839
Coauthor Index
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last updated on 2024-08-15 23:39 CEST by the dblp team
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