Shuxiang Xu

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 23

Top Topics

Association Rules

Evolutionary Algorithm

Top Venues

Expert Syst. Appl.

PAKDD Workshops

Publications

Shivangi Gheewala, Shuxiang Xu, Soonja Yeom, Sumbal Maqsood
Exploiting deep transformer models in textual review based recommender systems. Expert Syst. Appl. 235 (2024)
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)
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 (2023)
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) (2023)
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) (2023)
Shuxiang Xu, Qibu Xiang, Yushun Fan, Ruyu Yan, Jia Zhang
Exploiting Category Information in Sequential Recommendation. ICSOC (1) (2023)
Shuxiang Xu, Qibu Xiang, Yushun Fan, Ruyu Yan, Jia Zhang
A Novel Neighborhood-Augmented Graph Attention Network for Sequential Recommendation. CICAI (2) (2023)
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 (2022)
Yuchen Wei, Shuxiang Xu, Byeong Kang, Sabera Hoque
Generating training images with different angles by GAN for improving grocery product image recognition. Neurocomputing 488 (2022)
Rami Mohawesh, Shuxiang Xu, Matthew Springer, Muna Al-Hawawreh, Sumbal Maqsood
Fake or Genuine? Contextualised Text Representation for Fake Review Detection. CoRR (2021)
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 (2021)
Rami Mohawesh, Son N. Tran, Robert Ollington, Shuxiang Xu
Analysis of concept drift in fake reviews detection. Expert Syst. Appl. 169 (2021)
Rami Mohawesh, Shuxiang Xu, Son N. Tran, Robert Ollington, Matthew Springer, Yaser Jararweh, Sumbal Maqsood
Fake Reviews Detection: A Survey. IEEE Access 9 (2021)
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 (2021)
Yuchen Wei, Shuxiang Xu, Son N. Tran, Byeong Ho Kang
Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition. ICARCV (2020)
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 (2020)
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) (2020)
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)
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) (2018)
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 (2017)
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)
Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao
Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules. PAKDD Workshops (2016)
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)
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)
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) (2015)
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)
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)
Shuxiang Xu, Yunling Liu
HONNs with ELM algorithm for medical applications. ICARCV (2012)
Shuxiang Xu
Data Mining Using Higher Order Neural Network Models With Adaptive Neuron Activation Functions. Int. J. Adv. Comp. Techn. 2 (4) (2010)
Shuxiang Xu
Data Mining Using an Adaptive HONN Model with Hyperbolic Tangent Neurons. PKAW (2010)
Shuxiang Xu, Ling Chen
Adaptive Higher Order Neural Networks for Effective Data Mining. ISNN (4) (2009)
Shuxiang Xu, Ling Chen
Application of New Adaptive Higher Order Neural Networks in Data Mining. CSSE (1) (2008)
Shuxiang Xu, Ming Zhang
A New Adaptive Neural Network Model for Financial Data Mining. ISNN (1) (2007)
Shuxiang Xu, Ming Zhang
Data Mining - An Adaptive Neural Network Model for Financial Analysis. ICITA (1) (2005)
Ming Zhang, Shuxiang Xu, John Fulcher
Adaptive-Neuron Artificial Neural Network Features. IC-AI (2004)
Ming Zhang, Shuxiang Xu, John Fulcher
Neuron-adaptive higher order neural-network models for automated financial data modeling. IEEE Trans. Neural Networks 13 (1) (2002)
Shuxiang Xu, Ming Zhang
An Adaptive Activation Function for Higher Order Neural Networks. Australian Joint Conference on Artificial Intelligence (2002)
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)
Shuxiang Xu, Ming Zhang
Justification of a Neuron-Adaptive Activation Function. IJCNN (3) (2000)
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)
Shuxiang Xu, Ming Zhang
A model auto-selection financial data simulation software using neuron-adaptive feedforward neural networks. IJCNN (1999)
Shuxiang Xu, Ming Zhang
Approximation to continuous functionals and operators using adaptive higher-order feedforward neural networks. IJCNN (1999)
Shuxiang Xu, Ming Zhang
Adaptive higher-order feedforward neural networks. IJCNN (1999)
Ming Zhang, Shuxiang Xu, Bo Lu
Neuron-adaptive higher order neural network group models. IJCNN (1999)