Shaolong Sun

Orcid: 0000-0002-3196-1459

According to our database1, Shaolong Sun authored at least 30 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
A multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation.
Expert Syst. Appl., September, 2023

How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach.
Expert Syst. Appl., 2023

2022
Historical pattern recognition with trajectory similarity for daily tourist arrivals forecasting.
Expert Syst. Appl., 2022

Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm.
Expert Syst. Appl., 2022

Improving multi-step ahead tourism demand forecasting: A strategy-driven approach.
Expert Syst. Appl., 2022

Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis.
Environ. Model. Softw., 2022

A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting.
Eng. Appl. Artif. Intell., 2022

Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning.
Appl. Soft Comput., 2022

Metro passenger flow forecasting though multi-source time-series fusion: An ensemble deep learning approach.
Appl. Soft Comput., 2022

2021
A new secondary decomposition ensemble learning approach for carbon price forecasting.
Knowl. Based Syst., 2021

Forecasting influenza epidemics in Hong Kong using Google search queries data: A new integrated approach.
Expert Syst. Appl., 2021

Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model.
Energy Inform., 2021

Forecasting crude oil price with a new hybrid approach and multi-source data.
Eng. Appl. Artif. Intell., 2021

Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports.
CoRR, 2021

Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method.
Appl. Soft Comput., 2021

2020
A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting.
IEEE Trans. Syst. Man Cybern. Syst., 2020

A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network.
CoRR, 2020

Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight.
CoRR, 2020

New Research Trends in Unconventional Oil and Gas Environmental Issue: A Bibliometric Analysis.
CoRR, 2020

A new hybrid approach for crude oil price forecasting: Evidence from multi-scale data.
CoRR, 2020

Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach.
CoRR, 2020

Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach.
CoRR, 2020

AdaEnsemble Learning Approach for Metro Passenger Flow Forecasting.
CoRR, 2020

A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting.
Appl. Soft Comput., 2020

A new ensemble deep learning approach for exchange rates forecasting and trading.
Adv. Eng. Informatics, 2020

2019
Sentiment Lexicon Construction With Hierarchical Supervision Topic Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Sparse Self-Attention LSTM for Sentiment Lexicon Construction.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

2018
Neural gaussian mixture model for review-based rating prediction.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting.
Proceedings of the Computational Science - ICCS 2018, 2018

2017
Forecasting tourist arrivals with machine learning and internet search index.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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