Huanhuan Chen

IEEE Trans. Knowl. Data Eng., June, 2025

Harnessing the Power of Knowledge Graphs to Improve Causal Discovery.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Large-Scale Hierarchical Causal Discovery via Weak Prior Knowledge.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2025

LLM-Driven Causal Discovery via Harmonized Prior.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2025

Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis.

[BibT_eX]

[DOI]

CoRR, April, 2025

Investigating the Effective Dynamic Information of Spectral Shapes for Audio Classification.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

Active differentiable structure learning for clinical causal discovery.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

From overfitting to robustness: Quantity, quality, and variety oriented negative sample selection in graph contrastive learning.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2025

Fault Diagnosis in REDNet Model Space.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Enhancing Counterfactual Estimation: A Focus on Temporal Treatments.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Expanding the Category of Classifiers with LLM Supervision.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Instruction Tuning with Data Augmentation for Event Argument Extraction.

[BibT_eX]

[DOI]

Chengfei Wang

Xiangyu Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Learning in the Model Space: Fault Diagnosis by Co-objective Learning in DynInt Model Space.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Inside and Inside: Efficient Anomaly Detection by Fully Capturing the Detailed Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Characterizing Trainability, Expressivity and Generalization of Neural Architecture with Metrics from Neural Tangent Kernel.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

Report Friendly: An Interface Design for an LLM-Empowered ESG Report Generation System.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in HCI, 2025

Generation-Augmented and Embedding Fusion in Document-Level Event Argument Extraction.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Continuous Structure Constraint Integration for Robust Causal Discovery.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space.

[BibT_eX]

[DOI]

Ao Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2024

A Survey on Reinforcement Learning for Recommender Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Intensive Class Imbalance Learning in Drifting Data Streams.

[BibT_eX]

[DOI]

Muhammad Usman

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., June, 2024

Underground Diagnosis Based on GPR and Learning in the Model Space.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Self-Attention Over Tree for Relation Extraction With Data-Efficiency and Computational Efficiency.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Knowledge Verification From Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Research Ideas Discovery via Hierarchical Negative Correlation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal With External Consistency.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Decentralised Knowledge Graph Evolution via Blockchain.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2024

Iterative Polygon Deformation for Building Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Enhanced Anomaly Detection in GPR Data by Combining Spatial and Dynamic Information.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Leveraging Multisource Label Learning for Underground Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

From Data to D3 Model: Adaptive Subsurface Anomaly Detection in GPR Data.

[BibT_eX]

[DOI]

Shikang Liu

IEEE Trans. Geosci. Remote. Sens., 2024

Enhanced Change Detection in Unregistered Images With CNNs and Attention GANs.

[BibT_eX]

[DOI]

Jinpeng Du

IEEE Geosci. Remote. Sens. Lett., 2024

Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition.

[BibT_eX]

[DOI]

Int. J. Crowd Sci., 2024

Bin.INI: An ensemble approach for dynamic data streams.

[BibT_eX]

[DOI]

Muhammad Usman

Expert Syst. Appl., 2024

MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM.

[BibT_eX]

[DOI]

CoRR, 2024

Heterogeneous data augmentation in graph contrastive learning for effective negative samples.

[BibT_eX]

[DOI]

Adnan Ali

Jinlong Li

Comput. Electr. Eng., 2024

Differentiable Structure Learning with Partial Orders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DualStyle3D: Real-time Exemplar-based Artistic Portrait View Synthesis Based on Radiance Field.

[BibT_eX]

[DOI]

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Enhancing Speech and Music Discrimination Through the Integration of Static and Dynamic Features.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Multi-Model Consistency for LLMs' Evaluation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Dual-module Framework for Counterfactual Estimation over Time.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Constructing a Knowledge-Guided Mental Health Chatbot with LLMs.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2024

Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification.

[BibT_eX]

[DOI]

Liangwei Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A distribution-based representation of Knowledge Quality.

[BibT_eX]

[DOI]

Knowl. Based Syst., December, 2023

A Systematic Survey of Regularization and Normalization in GANs.

[BibT_eX]

[DOI]

ACM Comput. Surv., November, 2023

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Multicomponent Adversarial Domain Adaptation: A General Framework.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

A Background Knowledge Revising and Incorporating Dialogue Model.

[BibT_eX]

[DOI]

Xinyan Zhao

Xiao Feng

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Brain-Inspired Search Engine Assistant Based on Knowledge Graph.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

A Weighted Heterogeneous Graph-Based Dialog System.

[BibT_eX]

[DOI]

Xinyan Zhao

Liangwei Chen

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Graph Neural Networks for Missing Value Classification in a Task-Driven Metric Space.

[BibT_eX]

[DOI]

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

Three-way Preference Completion via Preference Graph.

[BibT_eX]

[DOI]

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

Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Temporal knowledge graph embedding via sparse transfer matrix.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location.

[BibT_eX]

[DOI]

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

Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Underground Pipeline Mapping From Multipositional Data: Data Acquisition Platform and Pipeline Mapping Model.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Accurate Label Refinement From Multiannotator of Remote Sensing Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Real-Time Spammers Detection Based on Metadata Features with Machine Learning.

[BibT_eX]

[DOI]

Intell. Autom. Soft Comput., 2023

Causal Structure Learning Supervised by Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems.

[BibT_eX]

[DOI]

CoRR, 2023

From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data.

[BibT_eX]

[DOI]

CoRR, 2023

Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Nonlinear Dimensionality Reduction with a Local Metric.

[BibT_eX]

[DOI]

Jun Yao

Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Practical Markov Boundary Learning without Strong Assumptions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Temporal pattern mining from user-generated content.

[BibT_eX]

[DOI]

Digit. Commun. Networks, December, 2022

Contextual-Aware Information Extractor with Adaptive Objective for Chinese Medical Dialogues.

[BibT_eX]

[DOI]

ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

Subarchitecture Ensemble Pruning in Neural Architecture Search.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Dynamic Link Prediction for Discovery of New Impactful COVID-19 Research Approaches.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Adaptive Polygon Generation Algorithm for Automatic Building Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

An Underground Pipeline Mapping Method Based on Fusion of Multisource Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Auxiliary Learning for Relation Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Guest Editorial Special Issue on Computational Intelligence in Big Graph Data Management.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Frequent Pattern Mining in Big Social Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

When Does Diversity Help Generalization in Classification Ensembles?

[BibT_eX]

[DOI]

Yijun Bian

IEEE Trans. Cybern., 2022

Ellipse Inversion Model for Estimating the Orientation and Radius of Pipes From GPR Image.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Domain knowledge-enhanced variable selection for biomedical data analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Robust multi-view learning via adaptive regression.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Link Prediction in Continuous-Time Dynamic Heterogeneous Graphs with Causality of Event Types.

[BibT_eX]

[DOI]

Int. J. Crowd Sci., 2022

Certainty-based Preference Completion.

[BibT_eX]

[DOI]

Data Intell., 2022

Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data.

[BibT_eX]

[DOI]

CoRR, 2022

Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model.

[BibT_eX]

[DOI]

CoRR, 2022

Level-wise Dynamic Label Assignment for Oriented Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Conditional Inpainting Generative Flow.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Generalization Bounds for Estimating Causal Effects of Continuous Treatments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nonlinear Causal Discovery in Time Series.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Multiple Kernel k-Means Clustering by Selecting Representative Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Unsupervised Change Detection in Satellite Images With Generative Adversarial Network.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

Discriminative Learning in the Model Space for Symbolic Sequence Classification.

[BibT_eX]

[DOI]

Yaqiang Yao

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Symbolic Sequence Classification in the Fractal Space.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property.

[BibT_eX]

[DOI]

Weijie Zheng

IEEE Trans. Evol. Comput., 2021

A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2021

Short isometric shapelet transform for binary time series classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-Label Local-to-Global Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

When non-elitism meets time-linkage problems.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021).

[BibT_eX]

[DOI]

Weijie Zheng

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Multiclass Probabilistic Classification Vector Machine.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Toward Efficient Design Space Exploration for Fault-Tolerant Multiprocessor Systems.

[BibT_eX]

[DOI]

Bo Yuan

IEEE Trans. Evol. Comput., 2020

Accurate Markov Boundary Discovery for Causal Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Multi-objective redundancy hardening with optimal task mapping for independent tasks on multi-cores.

[BibT_eX]

[DOI]

Soft Comput., 2020

Weighted partial order oriented three-way decisions under score-based common voting rules.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

Trustworthy Preference Completion in Social Choice.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Change Detection in Satellite Images with Generative Adversarial Network.

[BibT_eX]

[DOI]

CoRR, 2020

Probabilistic Classification Vector Machine for Multi-Class Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Underground Pipeline Mapping Based on Dirichlet Process Mixture Model.

[BibT_eX]

[DOI]

Qingyuan Wu

IEEE Access, 2020

BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Tolerant Markov Boundary Discovery for Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-Label Causal Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Markov Boundary-Based Outlier Mining.

[BibT_eX]

[DOI]

Kui Yu

IEEE Trans. Neural Networks Learn. Syst., 2019

Short Sequence Classification Through Discriminable Linear Dynamical System.

[BibT_eX]

[DOI]

Junyuan Hong

IEEE Trans. Neural Networks Learn. Syst., 2019

Probabilistic Mixture Model for Mapping the Underground Pipes.

[BibT_eX]

[DOI]

Jinlong Li

ACM Trans. Knowl. Discov. Data, 2019

Probabilistic Feature Selection and Classification Vector Machine.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Variant Grassmann Manifolds: A Representation Augmentation Method for Action Recognition.

[BibT_eX]

[DOI]

Junyuan Hong

ACM Trans. Knowl. Discov. Data, 2019

Efficient Detection of Buried Plastic Pipes by Combining GPR and Electric Field Methods.

[BibT_eX]

[DOI]

Tong Hao

IEEE Trans. Geosci. Remote. Sens., 2019

Multiobjective Learning in the Model Space for Time Series Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

A Cable-Mapping Algorithm Based on Ground-Penetrating Radar.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

Sub-Architecture Ensemble Pruning in Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Mining Markov Blankets Without Causal Sufficiency.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Efficient Cluster-Based Boosting for Semisupervised Classification.

[BibT_eX]

[DOI]

Rodrigo G. F. Soares

IEEE Trans. Neural Networks Learn. Syst., 2018

Latent Topic Text Representation Learning on Statistical Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Semisupervised Negative Correlation Learning.

[BibT_eX]

[DOI]

Bingbing Jiang

IEEE Trans. Neural Networks Learn. Syst., 2018

An Automatic GPR B-Scan Image Interpreting Model.

[BibT_eX]

[DOI]

Jinlong Li

IEEE Trans. Geosci. Remote. Sens., 2018

Human Activity Recognition with Posture Tendency Descriptors on Action Snippets.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2018

Sequential data classification by dynamic state warping.

[BibT_eX]

[DOI]

Zhichen Gong

Knowl. Inf. Syst., 2018

2017

Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

A Cluster-Based Semisupervised Ensemble for Multiclass Classification.

[BibT_eX]

[DOI]

Rodrigo G. F. Soares

IEEE Trans. Emerg. Top. Comput. Intell., 2017

Optimal relay placement for lifetime maximization in wireless underground sensor networks.

[BibT_eX]

[DOI]

Bo Yuan

Inf. Sci., 2017

Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project.

[BibT_eX]

[DOI]

IEEE Access, 2017

An Effective Martin Kernel for Time Series Classification.

[BibT_eX]

[DOI]

Liangang Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Defect- and Variation-Tolerant Logic Mapping in Nanocrossbar Using Bipartite Matching and Memetic Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Very Large Scale Integr. Syst., 2016

Probabilistic Feature Selection and Classification Vector Machine.

[BibT_eX]

[DOI]

Chang Li

CoRR, 2016

Sequential Data Classification in the Space of Liquid State Machines.

[BibT_eX]

[DOI]

Junyuan Hong

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

The Benefits of Modeling Slack Variables in SVMs.

[BibT_eX]

[DOI]

Fengzhen Tang

Pedro Antonio Gutiérrez

Neural Comput., 2015

Robust twin boosting for feature selection from high-dimensional omics data with label noise.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Knowledge Engineering with Big Data.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2015

Model Metric Co-Learning for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Learning in the Model Space for Cognitive Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2014

Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space.

[BibT_eX]

[DOI]

Comput. Chem. Eng., 2014

Learning the deterministically constructed Echo State Networks.

[BibT_eX]

[DOI]

Fengzhen Tang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Support Vector Ordinal Regression using Privileged Information.

[BibT_eX]

[DOI]

Fengzhen Tang

Pedro Antonio Gutiérrez

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Model-based kernel for efficient time series analysis.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Semisupervised Classification With Cluster Regularization.

[BibT_eX]

[DOI]

Rodrigo G. F. Soares

Francisco Fernández-Navarro

IEEE Trans. Neural Networks Learn. Syst., 2012

Learning in the Model Space for Fault Diagnosis

[BibT_eX]

[DOI]

CoRR, 2012

Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology.

[BibT_eX]

[DOI]

Pedro Antonio Gutiérrez

César Hervás-Martínez

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011

Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach.

[BibT_eX]

[DOI]

Anthony G. Cohn

Proceedings of the IJCAI 2011, 2011

2010

Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2010

Negative correlation learning for classification ensembles.

[BibT_eX]

[DOI]

Shuo Wang

Proceedings of the International Joint Conference on Neural Networks, 2010

Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data.

[BibT_eX]

[DOI]

Anthony G. Cohn

Proceedings of the International Joint Conference on Neural Networks, 2010

Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar.

[BibT_eX]

[DOI]

Anthony G. Cohn

Proceedings of the ECAI 2010, 2010

2009

Regularized Negative Correlation Learning for Neural Network Ensembles.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Probabilistic Classification Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Predictive Ensemble Pruning by Expectation Propagation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2009

Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

2007

Evolutionary Ensemble for <i>In Silico</i> Prediction of Ames Test Mutagenicity.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Evolutionary random neural ensembles based on negative correlation learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Trade-Off Between Diversity and Accuracy in Ensemble Generation.

[BibT_eX]

[DOI]

Arjun Chandra

Proceedings of the Multi-Objective Machine Learning, 2006

A Probabilistic Ensemble Pruning Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2004

Quantum secure circuit evaluation.

[BibT_eX]

[DOI]

Bin Li

Zhenquan Zhuang

Sci. China Ser. F Inf. Sci., 2004

HW-SW partitioning based on genetic algorithm.

[BibT_eX]

[DOI]

Yi Zou

Zhenquan Zhuang