Yu-Lin He

Orcid: 0000-0002-3415-0686

According to our database1, Yu-Lin He authored at least 112 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Density estimation-based method to determine sample size for random sample partition of big data.
Frontiers Comput. Sci., October, 2024

2023
A novel observation points-based positive-unlabeled learning algorithm.
CAAI Trans. Intell. Technol., December, 2023

Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis.
Appl. Intell., October, 2023

Observation points classifier ensemble for high-dimensional imbalanced classification.
CAAI Trans. Intell. Technol., June, 2023

Survey of Distributed Computing Frameworks for Supporting Big Data Analysis.
Big Data Min. Anal., June, 2023

A novel correlation Gaussian process regression-based extreme learning machine.
Knowl. Inf. Syst., May, 2023

PSAC-PDB: Analysis and classification of protein structures.
Comput. Biol. Medicine, May, 2023

A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets.
IEEE Trans. Artif. Intell., February, 2023

Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network.
IEEE Trans. Netw. Sci. Eng., 2023

Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview.
ACM Comput. Surv., 2023

USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model.
CoRR, 2023

Pseudo-label Correction and Learning For Semi-Supervised Object Detection.
CoRR, 2023

Random vector functional link network with subspace-based local connections.
Appl. Intell., 2023

Input Uncertainty Quantification Via Simulation Bootstrapping.
Proceedings of the Winter Simulation Conference, 2023

Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

Adaptive Scale and Spatial Aggregation for Real-Time Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression.
ACM Trans. Intell. Syst. Technol., 2022

Creating synthetic minority class samples based on autoencoder extreme learning machine.
Pattern Recognit., 2022

Correction to: Recent advances in multiple criteria decision making techniques.
Int. J. Mach. Learn. Cybern., 2022

Recent advances in multiple criteria decision making techniques.
Int. J. Mach. Learn. Cybern., 2022

A novel dependency-oriented mixed-attribute data classification method.
Expert Syst. Appl., 2022

LCIM: Mining Low Cost High Utility Itemsets.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022

MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022

Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier.
Proceedings of the International Joint Conference on Neural Networks, 2022

SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DenMG: Density-Based Member Generation for Ensemble Clustering.
Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

GCMK: Detecting Spam Movie Review Based on Graph Convolutional Network Embedding Movie Background Knowledge.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

FastTIRP: Efficient Discovery of Time-Interval Related Patterns.
Proceedings of the Big Data Analytics - 10th International Conference, 2022

S-PDB: Analysis and Classification of SARS-CoV-2 Spike Protein Structures.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Joint 2D-3D Complementary Network for Stereo Matching.
Sensors, 2021

Fast and Accurate Lane Detection via Graph Structure and Disentangled Representation Learning.
Sensors, 2021

Novel kernel density estimator based on ensemble unbiased cross-validation.
Inf. Sci., 2021

Improved I-nice clustering algorithm based on density peaks mechanism.
Inf. Sci., 2021

Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation.
CoRR, 2021

Fast and Accurate Lane Detection via Frequency Domain Learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Compressed Hidden Naive Bayesian Classifier.
Proceedings of the International Joint Conference on Neural Networks, 2021

PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Tri-Directional Tasks Complementary Learning for Unsupervised Domain Adaptation of Cross-modality Medical Image Semantic Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Application of Computed Tomographic Image Reconstruction Algorithms Based on Filtered Back-Projection in Diagnosis of Bone Trauma Diseases.
J. Medical Imaging Health Informatics, 2020

A new approach to solve opinion dynamics on complex networks.
Expert Syst. Appl., 2020

A Robust k-Means Clustering Algorithm Based on Observation Point Mechanism.
Complex., 2020

An Incremental Kernel Density Estimator for Data Stream Computation.
Complex., 2020

ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation.
Comput. Graph., 2020

Novel electricity pattern identification system based on improved I-nice algorithm.
Comput. Ind. Eng., 2020

CenterRepp: Predict Central Representative Point Set's Distribution For Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Attribute Bagging-Based Extreme Learning Machine.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Observation Points-Based Particle Swarm Optimization Algorithm.
Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

Clustering Ensembles Based on Probability Density Function Estimation.
Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

A Generalized Denoising Method with an Optimized Loss Function for Automated Bird Sound Recognition.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019
Random Sample Partition: A Distributed Data Model for Big Data Analysis.
IEEE Trans. Ind. Informatics, 2019

Real-Time Global Ionospheric Map and Its Application in Single-Frequency Positioning.
Sensors, 2019

Exploring and cleaning big data with random sample data blocks.
J. Big Data, 2019

A new kernel density estimator based on the minimum entropy of data set.
Inf. Sci., 2019

Latent Feature Group Learning for High-Dimensional Data Clustering.
Inf., 2019

An Asymptotic Ensemble Learning Framework for Big Data Analysis.
IEEE Access, 2019

Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Further improvements on extreme learning machine for interval neural network.
Neural Comput. Appl., 2018

Uncertain principal-agent models for providing information service with moral hazards.
J. Intell. Fuzzy Syst., 2018

SGB-ELM: An Advanced Stochastic Gradient Boosting-Based Ensemble Scheme for Extreme Learning Machine.
Comput. Intell. Neurosci., 2018

Determining the optimal temperature parameter for Softmax function in reinforcement learning.
Appl. Soft Comput., 2018

Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data.
Appl. Soft Comput., 2018

Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017
Comments on "Local coupled extreme learning machine".
Neural Comput. Appl., 2017

Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression.
Neural Comput. Appl., 2017

Toward an efficient fuzziness based instance selection methodology for intrusion detection system.
Int. J. Mach. Learn. Cybern., 2017

Fuzziness based semi-supervised learning approach for intrusion detection system.
Inf. Sci., 2017

A Random Sample Partition Data Model for Big Data Analysis.
CoRR, 2017

Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
Impact of Variances of Random Weights and Biases on Extreme Learning Machine.
J. Softw., 2016

An Improved Local Coupled Extreme Learning Machine.
J. Softw., 2016

Exact and approximate algorithms for discounted {0-1} knapsack problem.
Inf. Sci., 2016

Fuzzy nonlinear regression analysis using a random weight network.
Inf. Sci., 2016

An approach to sample selection from big data for classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Empirical analysis of asymptotic ensemble learning for big data.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

2015
Learning ELM-Tree from big data based on uncertainty reduction.
Fuzzy Sets Syst., 2015

OWA operator based link prediction ensemble for social network.
Expert Syst. Appl., 2015

Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014
Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes.
IEEE Trans. Cybern., 2014

Domain ontology graph model and its application in Chinese text classification.
Neural Comput. Appl., 2014

A set covering based approach to find the reduct of variable precision rough set.
Inf. Sci., 2014

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis.
Inf. Sci., 2014

A study on residence error of training an extreme learning machine and its application to evolutionary algorithms.
Neurocomputing, 2014

A study on relationships between heuristics and optimal cuts in decision tree induction.
Comput. Electr. Eng., 2014

A hybrid algorithm for recommendation twitter peers.
Proceedings of the Symposium on Applied Computing, 2014

Integrating Local Information-based Link Prediction Algorithms with OWA Operator.
Proceedings of the ICPRAM 2014, 2014

Comparative Analysis of Density Estimation Based Kernel Regression.
Proceedings of the Machine Learning and Cybernetics, 2014

A Further Investigation on the Reliability of Extreme Learning Machines.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

An advancing investigation on reduct and consistency for decision tables in Variable Precision Rough Set models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Regression ensemble with PSO algorithms based fuzzy integral.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A New Method for Knowledge and Information Management Domain Ontology Graph Model.
IEEE Trans. Syst. Man Cybern. Syst., 2013

A Combined Position Evaluation Function in Chinese Chess Computer Game.
Trans. Comput. Sci., 2013

Comparison of geometric and arithmetic means for bandwidth selection in Nadaraya-Watson kernel regression estimator.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012
Optimal bandwidth selection for re-substitution entropy estimation.
Appl. Math. Comput., 2012

Naive Bayesian Classifier Based on Neighborhood Probability.
Proceedings of the Advances in Computational Intelligence, 2012

Improving kernel incapability by equivalent probability in flexible naïve Bayesian.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Particle swarm optimization for determining fuzzy measures from data.
Inf. Sci., 2011

An approach to automatic development of interlocking logic based on Statechart.
Enterp. Inf. Syst., 2011

A comparative study among different kernel functions in flexible naïve Bayesian classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010
A new instance selection algorithm based on contribution for nearest neighbour classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009
Research on Case Retrieval of Case-Based Reasoning of Motorcycle Intelligent Design.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

2006
Knowledge Acquisition Based on Neural Networks for Performance Evaluation of Sugarcane Harvester.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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