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Recommender system application developments: A survey

Decision Support Systems, 2015-06, Vol.74, p.12-32

2015

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Member contribution-based group recommender system

Decision Support Systems, 2016-07, Vol.87, p.80-93

2016

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Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert-Schmidt Independence Criterion

IEEE transactions on fuzzy systems, 2018-12, Vol.26 (6), p.3703-3714

2018

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A Feature Discretization Method Based on Fuzzy Rough Sets for High-Resolution Remote Sensing Big Data Under Linear Spectral Model

IEEE transactions on fuzzy systems, 2022-05, Vol.30 (5), p.1328-1342

2022

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IEEE_Xplore

The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm

Expert systems with applications, 2018-11, Vol.110, p.20-32

2018

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DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting

Neurocomputing (Amsterdam), 2020-07, Vol.397, p.11-19

2020

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Agricultural UAV trajectory planning by incorporating multi-mechanism improved grey wolf optimization algorithm

Expert systems with applications, 2023-12, Vol.233, p.120946, Article 120946

2023

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A self-adaptive ensemble for user interest drift learning

Neurocomputing (Amsterdam), 2024-04, Vol.577, p.127308, Article 127308

2024

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Collaborative Filtering with Entropy-Driven User Similarity in Recommender Systems

International journal of intelligent systems, 2015-08, Vol.30 (8), p.854-870

2015

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Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift

IEEE transactions on cybernetics, 2023-04, Vol.53 (4), p.2110-2123

2023

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IEEE_Xplore

Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation

Neurocomputing (Amsterdam), 2022-06, Vol.491, p.288-304

2022

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A quantile fusion methodology for deep forecasting

Neurocomputing (Amsterdam), 2022-04, Vol.483, p.286-298

2022

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A new multi-domain cooperative resource scheduling method using proximal policy optimization

Neural computing & applications, 2024-03, Vol.36 (9), p.4931-4945

2024

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A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data

IEEE transactions on cybernetics, 2020-02, Vol.50 (2), p.739-752

2020

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IEEE_Xplore

Construction of key parameter change model of human-computer interaction for intelligent decision-making under the condition of long time voyage

Evolutionary intelligence, 2024-02, Vol.17 (1), p.201-211

2024

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Supervised assisted deep reinforcement learning for emergency voltage control of power systems

Neurocomputing (Amsterdam), 2022-02, Vol.475, p.69-79

2022

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Study on the influence of different menu sizes on the operation performance of touch screen

Evolutionary intelligence, 2024-02, Vol.17 (1), p.3-8

2024

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Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis

Neurocomputing (Amsterdam), 2020-04, Vol.387, p.279-292

2020

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AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound

Medical image analysis, 2021-08, Vol.72, p.102137-102137, Article 102137

2021

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Deep Multi-task Learning for Air Quality Prediction

Neural Information Processing, p.93-103

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An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble

AI 2021: Advances in Artificial Intelligence, p.716-727

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Using Sparse Representation to Detect Anomalies in Complex WSNs

ACM transactions on intelligent systems and technology, 2019-12, Vol.10 (6), p.1-18

2019

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CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation

Lesion Segmentation in Surgical and Diagnostic Applications, p.27-35

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An Augmented Learning Approach for Multiple Data Streams Under Concept Drift

AI 2023: Advances in Artificial Intelligence, p.391-402

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DGRL: Text Classification with Deep Graph Residual Learning

Advanced Data Mining and Applications, p.83-97

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Recommender system application developments: A survey

Member contribution-based group recommender system

Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert-Schmidt Independence Criterion

A Feature Discretization Method Based on Fuzzy Rough Sets for High-Resolution Remote Sensing Big Data Under Linear Spectral Model

The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm

DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting

Agricultural UAV trajectory planning by incorporating multi-mechanism improved grey wolf optimization algorithm

A self-adaptive ensemble for user interest drift learning

Collaborative Filtering with Entropy-Driven User Similarity in Recommender Systems

Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift

Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation

A quantile fusion methodology for deep forecasting

A new multi-domain cooperative resource scheduling method using proximal policy optimization

A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data

Construction of key parameter change model of human-computer interaction for intelligent decision-making under the condition of long time voyage

Supervised assisted deep reinforcement learning for emergency voltage control of power systems

Study on the influence of different menu sizes on the operation performance of touch screen

Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis

AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound

Deep Multi-task Learning for Air Quality Prediction

An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble

Using Sparse Representation to Detect Anomalies in Complex WSNs

CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation

An Augmented Learning Approach for Multiple Data Streams Under Concept Drift

DGRL: Text Classification with Deep Graph Residual Learning

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