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Air pollution forecasting based on attention‐based LSTM neural network and ensemble learning

Expert systems, 2020-06, Vol.37 (3), p.n/a

2020

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Power Peak Load Forecasting Based on Deep Time Series Analysis Method

IEICE Transactions on Information and Systems, 2024/07/01, Vol.E107.D(7), pp.845-856

2024

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Integrating AHP and data mining for product recommendation based on customer lifetime value

Information & management, 2005-03, Vol.42 (3), p.387-400

2005

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Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support

Entropy (Basel, Switzerland), 2022-04, Vol.24 (5), p.617

2022

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A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles

Computational Intelligence and Neuroscience, 2016-01, Vol.2016, p.9656453-9

2016

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Churn prediction and social neighbour influences for different types of user groups in virtual worlds

Expert systems, 2019-06, Vol.36 (3), p.n/a

2019

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Talent recommendation based on attentive deep neural network and implicit relationships of resumes

Information processing & management, 2023-07, Vol.60 (4), p.103357, Article 103357

2023

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Complementary QA network analysis for QA retrieval in social question-answering websites

Journal of the Association for Information Science and Technology, 2015-01, Vol.66 (1), p.99-116

2015

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A boosting resampling method for regression based on a conditional variational autoencoder

Information sciences, 2022-04, Vol.590, p.90-105

2022

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Rating Prediction Based on Merge-CNN and Concise Attention Review Mining

IEEE access, 2020, Vol.8, p.190934-190945

2020

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A clustering-based deep learning method for water level prediction

IEICE transactions on information and systems, 2024, Article 2024EDL8047

2024

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Discovering competitive intelligence by mining changes in patent trends

Expert systems with applications, 2010-04, Vol.37 (4), p.2882-2890

2010

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A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction

International journal of machine learning and cybernetics, 2021-05, Vol.12 (5), p.1203-1217

2021

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Novel personal and group-based trust models in collaborative filtering for document recommendation

Information sciences, 2013-08, Vol.239, p.31-49

2013

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Virtual Goods Recommendations in Virtual Worlds

TheScientificWorld, 2015, Vol.2015 (1), p.523174-523174

2015

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Air pollution prediction based on factory-aware attentional LSTM neural network

Computing, 2021-01, Vol.103 (1), p.75-98

2021

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Outlier detection from vehicle trajectories to discover roaming events

Information sciences, 2015-02, Vol.294, p.242-254

2015

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A hybrid of sequential rules and collaborative filtering for product recommendation

Information sciences, 2009-09, Vol.179 (20), p.3505-3519

2009

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Online news recommendations based on topic modeling and online interest adjustment

Industrial management + data systems, 2019-09, Vol.119 (8), p.1802-1818

2019

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Online recommendations based on dynamic adjustment of recommendation lists

Knowledge-based systems, 2018-12, Vol.161, p.375-389

2018

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Integrating expert profile, reputation and link analysis for expert finding in question-answering websites

Information processing & management, 2013-01, Vol.49 (1), p.312-329

2013

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Personalized recommendation of popular blog articles for mobile applications

Information sciences, 2011-05, Vol.181 (9), p.1552-1572

2011

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Recommending blog articles based on popular event trend analysis

Information sciences, 2015-06, Vol.305, p.302-319

2015

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Product recommendation approaches: Collaborative filtering via customer lifetime value and customer demands

Expert systems with applications, 2008-07, Vol.35 (1), p.350-360

2008

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Virtual friend recommendations in virtual worlds

Decision Support Systems, 2015-01, Vol.69, p.59-69

2015

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Air pollution forecasting based on attention‐based LSTM neural network and ensemble learning

Power Peak Load Forecasting Based on Deep Time Series Analysis Method

Integrating AHP and data mining for product recommendation based on customer lifetime value

Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support

A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles

Churn prediction and social neighbour influences for different types of user groups in virtual worlds

Talent recommendation based on attentive deep neural network and implicit relationships of resumes

Complementary QA network analysis for QA retrieval in social question-answering websites

A boosting resampling method for regression based on a conditional variational autoencoder

Rating Prediction Based on Merge-CNN and Concise Attention Review Mining

A clustering-based deep learning method for water level prediction

Discovering competitive intelligence by mining changes in patent trends

A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction

Novel personal and group-based trust models in collaborative filtering for document recommendation

Virtual Goods Recommendations in Virtual Worlds

Air pollution prediction based on factory-aware attentional LSTM neural network

Outlier detection from vehicle trajectories to discover roaming events

A hybrid of sequential rules and collaborative filtering for product recommendation

Online news recommendations based on topic modeling and online interest adjustment

Online recommendations based on dynamic adjustment of recommendation lists

Integrating expert profile, reputation and link analysis for expert finding in question-answering websites

Personalized recommendation of popular blog articles for mobile applications

Recommending blog articles based on popular event trend analysis

Product recommendation approaches: Collaborative filtering via customer lifetime value and customer demands

Virtual friend recommendations in virtual worlds

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