Ning Xiong

Affiliations:
  • Mälardalen University, School of Innovation Design & Engineering, Västerås, Sweden
  • KTH Royal Institute of Technology, Computational Vision and Active Perception Laboratory (CVAP), Stockholm, Sweden
  • University of Kaiserslautern, Germany (PhD 2000)


According to our database1, Ning Xiong authored at least 76 papers between 1991 and 2023.

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Bibliography

2023
Building a Digital Twin Framework for Dynamic and Robust Distributed Systems.
Proceedings of the Engineering of Computer-Based Systems - 8th International Conference, 2023

2021
BELIEF: A distance-based redundancy-proof feature selection method for Big Data.
Inf. Sci., 2021

Reasoning Method between Polynomial Error Assertions.
Inf., 2021

Federated Fuzzy Learning with Imbalanced Data.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Control as a Service - Intelligent Networking.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Adaptive differential evolution with a new joint parameter adaptation method.
Soft Comput., 2020

Smart Data based Ensemble for Imbalanced Big Data Classification.
CoRR, 2020

Quadratic Difference Set-Based Quorum Generation Algorithm in Distributed System.
Proceedings of the WSSE 2020: The 2nd World Symposium on Software Engineering, 2020

Impact of NSGA-II objectives on EEG feature selection related to motor imagery.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search.
Int. J. Comput. Intell. Syst., 2019

Finding the most similar textual documents using Case-Based Reasoning.
CoRR, 2019

Smart Case Mining Based on Membrane Clustering.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Discriminating EEG spectral power related to mental imagery of closing and opening of hand.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

A Deep Neural Network Model for Music Genre Recognition.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
BELIEF: A distance-based redundancy-proof feature selection method for Big Data.
CoRR, 2018

MPADE: An Improved Adaptive Multi-Population Differential Evolution Algorithm Based on JADE.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Enhancing Adaptive Differential Evolution Algorithms with Rank-Based Mutation Adaptation.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
MapReduce distributed highly random fuzzy forest for noisy big data.
Proceedings of the 13th International Conference on Natural Computation, 2017

Big data stream learning based on hybridized Kalman filter and backpropagation through time method.
Proceedings of the 13th International Conference on Natural Computation, 2017

Alopex-based mutation strategy in Differential Evolution.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Editorial.
Neural Process. Lett., 2016

Adapting Differential Evolution Algorithms For Continuous Optimization Via Greedy Adjustment Of Control Parameters.
J. Artif. Intell. Soft Comput. Res., 2016

Towards a framework for online modeling and optimization of airflow and temperature distribution in server rooms of data centers.
Proceedings of the IECON 2016, 2016

A New Differential Evolution Algorithm with Alopex-Based Local Search.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Differential Evolution based on Decomposition for Solving Multi-objective Optimization Problems.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

Towards a Probabilistic Method for Longitudinal Monitoring in Health Care.
Proceedings of the Internet of Things Technologies for HealthCare, 2016

Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016

2015
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends.
Int. J. Comput. Intell. Syst., 2015

Adaptive Differential Evolution Supports Automatic Model Calibration in Furnace Optimized Control System.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

Application of Adaptive Differential Evolution for Model Identification in Furnace Optimized Control System.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Fault Diagnosis via Fusion of Information from a Case Stream.
Proceedings of the Case-Based Reasoning Research and Development, 2015

Eager Random Search for Differential Evolution in Continuous Optimization.
Proceedings of the Progress in Artificial Intelligence, 2015

Greedy adaptation of control parameters in differential evolution for global optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Explaining Probabilistic Fault Diagnosis and Classification Using Case-Based Reasoning.
Proceedings of the Case-Based Reasoning Research and Development, 2014

Investigation of Mutation Strategies in Differential Evolution for Solving Global Optimization Problems.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Editorial: Special Issue on "Recent Advances in Intelligent Techniques".
Int. J. Intell. Syst., 2013

Fuzzy rule-based similarity model enables learning from small case bases.
Appl. Soft Comput., 2013

2011
Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments.
IEEE Trans. Syst. Man Cybern. Part C, 2011

Learning fuzzy rules for similarity assessment in case-based reasoning.
Expert Syst. Appl., 2011

Toward Coherent Matching in Case-Based Classification.
Cybern. Syst., 2011

A multi-module case-based biofeedback system for stress treatment.
Artif. Intell. Medicine, 2011

2010
Combined feature selection and similarity modelling in case-based reasoning using hierarchical memetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A Case-Based Decision Support System for Individual Stress Diagnosis Using Fuzzy Similarity Matching.
Comput. Intell., 2009

A Case-Based Approach to Decision Analysis (Ein fallbasiertes Verfahren zur Beschlussanalyse).
Autom., 2009

CBR Supports Decision Analysis with Uncertainty.
Proceedings of the Case-Based Reasoning Research and Development, 2009

Assessing similarity between cases by means of fuzzy rules.
Proceedings of the FUZZ-IEEE 2009, 2009

Learning flexible structured linguistic fuzzy rules for mamdani fuzzy systems.
Proceedings of the FUZZ-IEEE 2009, 2009

2008
Extracting Knowledge from Sensor Signals for Case-Based Reasoning with Longitudinal Time Series Data.
Proceedings of the Case-Based Reasoning on Images and Signals, 2008

Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity.
Trans. Case Based Reason., 2008

Concise case indexing of time series in health care by means of key sequence discovery.
Appl. Intell., 2008

A Novel Framework for Case-Based Decision Analysis.
Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

Generating fuzzy rules to identify relevant cases in case-based reasoning.
Proceedings of the FUZZ-IEEE 2008, 2008

A Three Phase Computer Assisted Biofeedback Training System Using Case-Based Reasoning.
Proceedings of the ECCBR 2008, 2008

2007
Agent negotiation of target distribution enhancing system survivability.
Int. J. Intell. Syst., 2007

Reactive Tuning of Target Estimate Accuracy in Multisensor Data Fusion.
Cybern. Syst., 2007

Classify and Diagnose Individual Stress Using Calibration and Fuzzy Case-Based Reasoning.
Proceedings of the Case-Based Reasoning Research and Development, 2007

2006
Construction of fuzzy knowledge bases incorporating feature selection.
Soft Comput., 2006

Building similarity metrics reflecting utility in case-based reasoning.
J. Intell. Fuzzy Syst., 2006

Case-Based Reasoning and Knowledge Discovery in Medical Applications with Time Series.
Comput. Intell., 2006

Clinical decision-support for diagnosing stress-related disorders by applying psychophysiological medical knowledge to an instance-based learning system.
Artif. Intell. Medicine, 2006

Discovering Key Sequences in Time Series Data for Pattern Classification.
Proceedings of the Advances in Data Mining, 2006

Discovering Knowledge About Key Sequences for Indexing Time Series Cases in Medical Applications.
Proceedings of the Advances in Case-Based Reasoning, 8th European Conference, 2006

2005
Clinical Decision Support by Time Series Classification Using Wavelets.
Proceedings of the ICEIS 2005, 2005

Knowledge Discovery and Case Based Reasoning in Medical Applications with Time Series.
Proceedings of the 6th International Conference on Case-Based Reasoning, 2005

A Novel Framework for Similarity Modeling in Case based Reasoning.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005

2004
Fault diagnosis in industry using sensor readings and case-based reasoning.
J. Intell. Fuzzy Syst., 2004

2003
Perception management: an emerging concept for information fusion.
Inf. Fusion, 2003

2002
A hybrid approach to input selection for complex processes.
IEEE Trans. Syst. Man Cybern. Part A, 2002

Learning Premises of Fuzzy Rules for Knowledge Acquisition in Classification Problems.
Knowl. Inf. Syst., 2002

Multi-sensor management for information fusion: issues and approaches.
Inf. Fusion, 2002

Reduction of fuzzy control rules by means of premise learning - method and case study.
Fuzzy Sets Syst., 2002

2001
Evolutionary learning of rule premises for fuzzy modelling.
Int. J. Syst. Sci., 2001

2000
Fuzzy modeling based on premise optimization.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999
Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

1991
Learning for mobile robots: environment map acquisition.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1991


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