Shuxiang Xu

According to our database, Shuxiang Xu authored at least 44 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploiting deep transformer models in textual review based recommender systems.

Shivangi Gheewala, Shuxiang Xu, Soonja Yeom, Sumbal Maqsood

Expert Syst. Appl., January, 2024

2023

An explainable ensemble of multi-view deep learning model for fake review detection.

Rami Mohawesh, Shuxiang Xu, Matthew Springer, Yaser Jararweh, Muna Al-Hawawreh, Sumbal Maqsood

J. King Saud Univ. Comput. Inf. Sci., September, 2023

Deep learning for 6D pose estimation of objects - A case study for autonomous driving.

Sabera Hoque, Shuxiang Xu, Ananda Maiti, Yuchen Wei, Md. Yasir Arafat

Expert Syst. Appl., August, 2023

SQ-FMFO: A Novel Scalarized Multi-objective Q-Learning Approach for Fuzzy Membership Function Optimization.

Bodrunnessa Badhon, Mir Md Jahangir Kabir, Md. Asifur Rahman, Shuxiang Xu

Int. J. Fuzzy Syst., March, 2023

Exploiting Category Information in Sequential Recommendation.

Shuxiang Xu, Qibu Xiang, Yushun Fan, Ruyu Yan, Jia Zhang

Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

A Novel Neighborhood-Augmented Graph Attention Network for Sequential Recommendation.

Shuxiang Xu, Qibu Xiang, Yushun Fan, Ruyu Yan, Jia Zhang

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

SparkACO: A Spark-Based Ant Colony Optimization for Path Planning of Large-Scale Complex Road Networks.

Qibu Xiang, Shuxiang Xu, Yushun Fan, Jia Zhang

Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

2022

Generating training images with different angles by GAN for improving grocery product image recognition.

Yuchen Wei, Shuxiang Xu, Byeong Kang, Sabera Hoque

Neurocomputing, 2022

A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors.

Sumbal Maqsood, Shuxiang Xu, Son N. Tran, Saurabh Garg, Matthew Springer, Mohan Karunanithi, Rami Mohawesh

Expert Syst. Appl., 2022

2021

Analysis of concept drift in fake reviews detection.

Rami Mohawesh, Son N. Tran, Robert Ollington, Shuxiang Xu

Expert Syst. Appl., 2021

Fake or Genuine? Contextualised Text Representation for Fake Review Detection.

Rami Mohawesh, Shuxiang Xu, Matthew Springer, Muna Al-Hawawreh, Sumbal Maqsood

CoRR, 2021

Fake Reviews Detection: A Survey.

Rami Mohawesh, Shuxiang Xu, Son N. Tran, Robert Ollington, Matthew Springer, Yaser Jararweh, Sumbal Maqsood

IEEE Access, 2021

A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG).

Sumbal Maqsood, Shuxiang Xu, Matthew Springer, Rami Mohawesh

IEEE Access, 2021

A Comprehensive Review on 3D Object Detection and 6D Pose Estimation With Deep Learning.

Sabera Hoque, Md. Yasir Arafat, Shuxiang Xu, Ananda Maiti, Yuchen Wei

IEEE Access, 2021

2020

Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook.

Saman Forouzandeh, Atae Rezaei Aghdam, Soran Forouzandeh, Shuxiang Xu

Comput. Sci. Eng., 2020

Deep Learning for Retail Product Recognition: Challenges and Techniques.

Yuchen Wei, Son N. Tran, Shuxiang Xu, Byeong Ho Kang, Matthew Springer

Comput. Intell. Neurosci., 2020

Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition.

Yuchen Wei, Shuxiang Xu, Son N. Tran, Byeong Ho Kang

Proceedings of the 16th International Conference on Control, 2020

2019

An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification.

Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu, Dewan Md. Farid

Proceedings of the 13th International Conference on Software, 2019

2018

New centrality measure for nodes based on user social status and behavior on Facebook.

Saman Forouzandeh, Amir Sheikhahmadi, Atae Rezaei Aghdam, Shuxiang Xu

Int. J. Web Inf. Syst., 2018

2017

A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules.

Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao

Expert Syst. Appl., 2017

2016

Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules.

Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Learning through shared note-taking visualisations in the classroom.

Bridgette Kaminski, Rainer Wasinger, Kimberley Norris, Chris Zehntner, Shuxiang Xu, Winyu Chinthammit, Henry B. L. Duh

Proceedings of the 28th Australian Conference on Computer-Human Interaction, 2016

An Empirically-Sourced Heuristic for Predetermining the Size of the Hidden Layer of a Multi-layer Perceptron for Large Datasets.

Amanda Lunt, Shuxiang Xu

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015

Investigation and improvement of multi-layer perception neural networks for credit scoring.

Zongyuan Zhao, Shuxiang Xu, Byeong Ho Kang, Mir Md Jahangir Kabir, Yunling Liu, Rainer Wasinger

Expert Syst. Appl., 2015

A New Evolutionary Algorithm for Extracting a Reduced Set of Interesting Association Rules.

Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Discovery of Interesting Association Rules Using Genetic Algorithm with Adaptive Mutation.

Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Comparative analysis of genetic based approach and Apriori algorithm for mining maximal frequent item sets.

Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2012

HONNs with ELM algorithm for medical applications.

Shuxiang Xu, Yunling Liu

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2010

Data Mining Using Higher Order Neural Network Models With Adaptive Neuron Activation Functions.

Shuxiang Xu

Int. J. Adv. Comp. Techn., 2010

Data Mining Using an Adaptive HONN Model with Hyperbolic Tangent Neurons.

Shuxiang Xu

Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

2009

Adaptive Higher Order Neural Networks for Effective Data Mining.

Shuxiang Xu, Ling Chen

Proceedings of the Sixth International Symposium on Neural Networks, 2009

2008

Application of New Adaptive Higher Order Neural Networks in Data Mining.

Shuxiang Xu, Ling Chen

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007

A New Adaptive Neural Network Model for Financial Data Mining.

Shuxiang Xu, Ming Zhang

Proceedings of the Advances in Neural Networks, 2007

2005

Data Mining - An Adaptive Neural Network Model for Financial Analysis.

Shuxiang Xu, Ming Zhang

Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005

2004

Adaptive-Neuron Artificial Neural Network Features.

Ming Zhang, Shuxiang Xu, John Fulcher

Proceedings of the International Conference on Artificial Intelligence, 2004

2002

Neuron-adaptive higher order neural-network models for automated financial data modeling.

Ming Zhang, Shuxiang Xu, John Fulcher

IEEE Trans. Neural Networks, 2002

An Adaptive Activation Function for Higher Order Neural Networks.

Shuxiang Xu, Ming Zhang

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

Application of Genetic Algorithms to the Optimisation of Neural Network Configuration for Stock Market Forecasting.

Daniel Hulme, Shuxiang Xu

Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

2000

Justification of a Neuron-Adaptive Activation Function.

Shuxiang Xu, Ming Zhang

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Neuron-adaptive higher order neural network group models.

Ming Zhang, Shuxiang Xu, Bo Lu

Proceedings of the International Joint Conference Neural Networks, 1999

A model auto-selection financial data simulation software using neuron-adaptive feedforward neural networks.

Shuxiang Xu, Ming Zhang

Proceedings of the International Joint Conference Neural Networks, 1999

Approximation to continuous functionals and operators using adaptive higher-order feedforward neural networks.

Shuxiang Xu, Ming Zhang

Proceedings of the International Joint Conference Neural Networks, 1999

Adaptive higher-order feedforward neural networks.

Shuxiang Xu, Ming Zhang

Proceedings of the International Joint Conference Neural Networks, 1999

ANSER-Plus Expert System for Estimating Heavy Rainfall from Satellite Data.

Ming Zhang, Twatchai Tanguairuang, Shuxiang Xu, Nawaiz I. Khan, Jianwen Chen, Roderick A. Scofield

Proceedings of the 17th IASTED International Conference on Applied Informatics, 1999