Machine learning for time series: from forecasting to causal inference

被引：0
|
作者：
Bontempi, Gianluca [1 ]
机构：
[1] Univ Libre Bruxelles, ULB, Comp Sci Dept, Machine Learning Grp, Brussels, Belgium
来源：
PROCEEDINGS OF THE 12TH HELLENIC CONFERENCE ON ARTIFICIAL INTELLIGENCE, SETN 2022 | 2022年
关键词：
D O I：
10.1145/3549737.3549743
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页数：1
相关论文
共 50 条
  • [41] State of the Art Machine Learning Techniques for Time Series Forecasting: A Survey
    Naing, Wai Yan Nyein
    Htike, Zaw Zaw
    [J]. ADVANCED SCIENCE LETTERS, 2015, 21 (11) : 3574 - 3576
  • [42] Towards an efficient machine learning model for financial time series forecasting
    Arun Kumar
    Tanya Chauhan
    Srinivasan Natesan
    Nhat Truong Pham
    Ngoc Duy Nguyen
    Chee Peng Lim
    [J]. Soft Computing, 2023, 27 : 11329 - 11339
  • [43] Multivariate Time Series Evapotranspiration Forecasting using Machine Learning Techniques
    Liyew, Chalachew Muluken
    Meo, Rosa
    Di Nardo, Elvira
    Ferraris, Stefano
    [J]. 38TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2023, 2023, : 377 - 380
  • [44] Water Demand Forecasting Using Machine Learning and Time Series Algorithms
    Ibrahim, Tarek
    Omar, Yasser
    Maghraby, Fahima A.
    [J]. 2020 INTERNATIONAL CONFERENCE ON EMERGING SMART COMPUTING AND INFORMATICS (ESCI), 2020, : 325 - 329
  • [45] A meta extreme learning machine method for forecasting financial time series
    César Fernández
    Luis Salinas
    Claudio E. Torres
    [J]. Applied Intelligence, 2019, 49 : 532 - 554
  • [46] A meta extreme learning machine method for forecasting financial time series
    Fernandez, Cesar
    Salinas, Luis
    Torres, Claudio E.
    [J]. APPLIED INTELLIGENCE, 2019, 49 (02) : 532 - 554
  • [47] The Seven Tools of Causal Inference, with Reflections on Machine Learning
    Pearl, Judea
    [J]. COMMUNICATIONS OF THE ACM, 2019, 62 (03) : 54 - 60
  • [48] Machine learning for causal inference in a realistic prescribing scenario
    Breskin, Alexander
    Zivich, Paul N.
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2020, 29 : 369 - 369
  • [49] A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA
    Ulke, Volkan
    Sahin, Afsin
    Subasi, Abdulhamit
    [J]. NEURAL COMPUTING & APPLICATIONS, 2018, 30 (05): : 1519 - 1527
  • [50] A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA
    Volkan Ülke
    Afsin Sahin
    Abdulhamit Subasi
    [J]. Neural Computing and Applications, 2018, 30 : 1519 - 1527
12345