Youxi Wu

IEEE Trans. Knowl. Data Eng., September, 2024

FPGA-based small-world spiking neural network with anti-interference ability under external noise.

[BibT_eX]

[DOI]

Neural Comput. Appl., July, 2024

Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., June, 2024

COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2024

Open circuit fault diagnosis of three-phase inverter based on SR-WOA-ELM.

[BibT_eX]

[DOI]

Int. J. Circuit Theory Appl., June, 2024

The spiking neural network based on fMRI for speech recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

MRI-CE: Minimal rare itemset discovery using the cross-entropy method.

[BibT_eX]

[DOI]

Wei Song

Zhen Sun

Inf. Sci., 2024

Complex spiking neural network with synaptic time delay evaluated by anti-damage capabilities under random attacks.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Order-preserving pattern mining with forgetting mechanism.

[BibT_eX]

[DOI]

CoRR, 2024

Co-occurrence order-preserving pattern mining.

[BibT_eX]

[DOI]

CoRR, 2024

2023

OPR-Miner: Order-Preserving Rule Mining for Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

OPP-Miner: Order-Preserving Sequential Pattern Mining for Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., May, 2023

ONP-Miner: One-off Negative Sequential Pattern Mining.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, April, 2023

Comparison of spiking neural networks with different topologies based on anti-disturbance ability under external noise.

[BibT_eX]

[DOI]

Neurocomputing, April, 2023

Anti-interference of a small-world spiking neural network against pulse noise.

[BibT_eX]

[DOI]

Appl. Intell., March, 2023

STWD-SFNN: Sequential three-way decisions with a single hidden layer feedforward neural network.

[BibT_eX]

[DOI]

Inf. Sci., 2023

Repetitive nonoverlapping sequential pattern mining.

[BibT_eX]

[DOI]

CoRR, 2023

Top-k contrast order-preserving pattern mining for time series classification.

[BibT_eX]

[DOI]

CoRR, 2023

Sequential three-way decisions with a single hidden layer feedforward neural network.

[BibT_eX]

[DOI]

CoRR, 2023

Maximal co-occurrence nonoverlapping sequential rule mining.

[BibT_eX]

[DOI]

CoRR, 2023

2022

OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2022

Mining High Utility Itemsets with Hill Climbing and Simulated Annealing.

[BibT_eX]

[DOI]

Unil Yun

Wei Song

ACM Trans. Manag. Inf. Syst., 2022

NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

HW-Forest: Deep Forest with Hashing Screening and Window Screening.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Top-k Self-Adaptive Contrast Sequential Pattern Mining.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

NWP-Miner: Nonoverlapping weak-gap sequential pattern mining.

[BibT_eX]

[DOI]

Inf. Sci., 2022

DBC-Forest: Deep forest with binning confidence screening.

[BibT_eX]

[DOI]

Neurocomputing, 2022

NetNDP: Nonoverlapping (delta, gamma)-approximate pattern matching.

[BibT_eX]

[DOI]

Intell. Data Anal., 2022

Nonoverlapping (delta, gamma)-approximate pattern matching.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Forest with Hashing Screening and Window Screening.

[BibT_eX]

[DOI]

CoRR, 2022

One-off Negative Sequential Pattern Mining.

[BibT_eX]

[DOI]

CoRR, 2022

OPP-Miner: Order-preserving sequential pattern mining.

[BibT_eX]

[DOI]

CoRR, 2022

MalSPM: Metamorphic malware behavior analysis and classification using sequential pattern mining.

[BibT_eX]

[DOI]

Muhammad Zohaib Nawaz

Guoting Chen

Comput. Secur., 2022

Small-world spiking neural network with anti-interference ability based on speech recognition under interference.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Self-adaptive nonoverlapping sequential pattern mining.

[BibT_eX]

[DOI]

Appl. Intell., 2022

NetNMSP: Nonoverlapping maximal sequential pattern mining.

[BibT_eX]

[DOI]

Appl. Intell., 2022

NetDPO: (delta, gamma)-approximate pattern matching with gap constraints under one-off condition.

[BibT_eX]

[DOI]

Appl. Intell., 2022

LCIM: Mining Low Cost High Utility Itemsets.

[BibT_eX]

[DOI]

Naji Alhusaini

Yulin He

Debdatta Bhattacharya

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022

MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022

AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Pattern Mining: Current Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

2021

Overlapping Community Discovery Method Based on Two Expansions of Seeds.

[BibT_eX]

[DOI]

Symmetry, 2021

Road Surface Crack Detection Method Based on Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Anastasiia Kyslytsyna

Kewen Xia

Artem Kislitsyn

Isselmou Abd El Kader

Sensors, 2021

HANP-Miner: High average utility nonoverlapping sequential pattern mining.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

TWD-SFNN: Three-way decisions with a single hidden layer feedforward neural network.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Anti-injury function of complex spiking neural networks under targeted attack.

[BibT_eX]

[DOI]

Neurocomputing, 2021

HAOP-Miner: Self-adaptive high-average utility one-off sequential pattern mining.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

TTNet: Tabular Transfer Network for Few-samples Prediction.

[BibT_eX]

[DOI]

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Metamorphic Malware Behavior Analysis Using Sequential Pattern Mining.

[BibT_eX]

[DOI]

Muhammad Zohaib Nawaz

Guoting Chen

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Sequence Prediction using Partially-Ordered Episode Rules.

[BibT_eX]

[DOI]

Yangming Chen

Farid Nouioua

Proceedings of the 2021 International Conference on Data Mining, 2021

COVID-19 Genome Analysis Using Alignment-Free Methods.

[BibT_eX]

[DOI]

Xinzheng Niu

Jerry Chun-Wei Lin

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

HSNP-Miner: High Utility Self-Adaptive Nonoverlapping Pattern Mining.

[BibT_eX]

[DOI]

Md. Motaher Hossain

Zhao Li

Lei Guo

Yan Li

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Mining Partially-Ordered Episode Rules with the Head Support.

[BibT_eX]

[DOI]

Yangming Chen

Farid Nouioua

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

TKQ: Top-K Quantitative High Utility Itemset Mining.

[BibT_eX]

[DOI]

Mourad Nouioua

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020

NetNCSP: Nonoverlapping closed sequential pattern mining.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Encoding specificity of scale-free spiking neural network under different external stimulations.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Distant Supervision for E-commerce Query Segmentation via Attention Network.

[BibT_eX]

[DOI]

CoRR, 2020

NetDAP: (δ, γ) -approximate pattern matching with length constraints.

[BibT_eX]

[DOI]

Appl. Intell., 2020

NetNPG: Nonoverlapping pattern matching with general gap constraints.

[BibT_eX]

[DOI]

Appl. Intell., 2020

Anti-Injury Function of Complex Spiking Neural Networks Under Random Attack and Its Mechanism Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2020

Engine Working State Recognition Based on Optimized Variational Mode Decomposition and Expectation Maximization Algorithm.

[BibT_eX]

[DOI]

IEEE Access, 2020

Robustness of the Scale-free Spiking Neural Network with Small-world Property.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

基于密度约束的对比模式挖掘 (Distinguishing Patterns Mining Based on Density Constraint).

[BibT_eX]

[DOI]

计算机科学, 2019

Mining distinguishing subsequence patterns with nonoverlapping condition.

[BibT_eX]

[DOI]

Clust. Comput., 2019

Outliers Identification From Instantaneous Angular Speed Signal Generated by Zebra Tapes.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

基于密度约束和间隙约束的对比模式挖掘 (Distinguishing Sequence Patterns Mining Based on Density and Gap Constraints).

[BibT_eX]

[DOI]

计算机科学, 2018

梯度优化决策树的集成学习及其应用 (Research and Application of Ensemble Learning Using Gradient Optimization Decision Tree).

[BibT_eX]

[DOI]

Yanbin Wang

Hongpu Liu

计算机科学, 2018

基于双向双区间标签实现k步可达性查询 (k-step Reachability Queries Based on Bidirectional Double Interval Labeling Indexes).

[BibT_eX]

[DOI]

计算机科学, 2018

ADL-RAID: Energy-Saving Data Layout for Dynamic Loads.

[BibT_eX]

[DOI]

Comput. Syst. Sci. Eng., 2018

Greedy Game Algorithms for Solving SET K-Cover Problem in HWSNs.

[BibT_eX]

[DOI]

IEEE Access, 2018

NETASPNO: Approximate Strict Pattern Matching Under Nonoverlapping Condition.

[BibT_eX]

[DOI]

IEEE Access, 2018

IBAS: Index Based A-Star.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Length-Changeable Incremental Extreme Learning Machine.

[BibT_eX]

[DOI]

Dong Liu

He Jiang

J. Comput. Sci. Technol., 2017

Strict pattern matching under non-overlapping condition.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2017

2016

Approximate pattern matching with gap constraints.

[BibT_eX]

[DOI]

J. Inf. Sci., 2016

HS-RAID<sup>2</sup>: Optimizing Small Write Performance in HS-RAID.

[BibT_eX]

[DOI]

J. Electr. Comput. Eng., 2016

FP-ELM: An online sequential learning algorithm for dealing with concept drift.

[BibT_eX]

[DOI]

Dong Liu

He Jiang

Neurocomputing, 2016

2015

Strict approximate pattern matching with general gaps.

[BibT_eX]

[DOI]

Appl. Intell., 2015

2014

Misleading classification.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2014

Mining sequential patterns with periodic wildcard gaps.

[BibT_eX]

[DOI]

Appl. Intell., 2014

2012

The Apriori property of sequence pattern mining with wildcard gaps.

[BibT_eX]

[DOI]

Fan Min