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export results for "Recurrent Neural Networks for Time Series Forecasting"

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@article{DBLP:journals/peerj-cs/DamaseviciusJPZ24,
  author       = {Robertas Damasevicius and
                  Luka Jovanovic and
                  Aleksandar Petrovic and
                  Miodrag Zivkovic and
                  Nebojsa Bacanin and
                  Dejan Jovanovic and
                  Milos Antonijevic},
  title        = {Decomposition aided attention-based recurrent neural networks for
                  multistep ahead time-series forecasting of renewable power generation},
  journal      = {PeerJ Comput. Sci.},
  volume       = {10},
  pages        = {e1795},
  year         = {2024},
  url          = {https://doi.org/10.7717/peerj-cs.1795},
  doi          = {10.7717/PEERJ-CS.1795},
  timestamp    = {Sat, 16 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/peerj-cs/DamaseviciusJPZ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/ijon/ZhangZZWN23,
  author       = {Xueli Zhang and
                  Cankun Zhong and
                  Jianjun Zhang and
                  Ting Wang and
                  Wing W. Y. Ng},
  title        = {Robust recurrent neural networks for time series forecasting},
  journal      = {Neurocomputing},
  volume       = {526},
  pages        = {143--157},
  year         = {2023},
  url          = {https://doi.org/10.1016/j.neucom.2023.01.037},
  doi          = {10.1016/J.NEUCOM.2023.01.037},
  timestamp    = {Tue, 21 Mar 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/ijon/ZhangZZWN23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2307-15830,
  author       = {Christopher Salazar and
                  Ashis G. Banerjee},
  title        = {A Distance Correlation-Based Approach to Characterize the Effectiveness
                  of Recurrent Neural Networks for Time Series Forecasting},
  journal      = {CoRR},
  volume       = {abs/2307.15830},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2307.15830},
  doi          = {10.48550/ARXIV.2307.15830},
  eprinttype    = {arXiv},
  eprint       = {2307.15830},
  timestamp    = {Wed, 02 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2307-15830.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2203-09170,
  author       = {Grzegorz Dudek and
                  Slawek Smyl and
                  Pawel Pelka},
  title        = {Recurrent Neural Networks for Forecasting Time Series with Multiple
                  Seasonality: {A} Comparative Study},
  journal      = {CoRR},
  volume       = {abs/2203.09170},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2203.09170},
  doi          = {10.48550/ARXIV.2203.09170},
  eprinttype    = {arXiv},
  eprint       = {2203.09170},
  timestamp    = {Mon, 28 Mar 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2203-09170.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/ijaac/Nayak21,
  author       = {Sarat Chandra Nayak},
  title        = {Artificial chemical reaction optimisation of recurrent functional
                  link neural networks for efficient modelling and forecasting of financial
                  time series},
  journal      = {Int. J. Autom. Control.},
  volume       = {15},
  number       = {6},
  pages        = {669--691},
  year         = {2021},
  url          = {https://doi.org/10.1504/IJAAC.2021.118524},
  doi          = {10.1504/IJAAC.2021.118524},
  timestamp    = {Tue, 01 Mar 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/ijaac/Nayak21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/gecco/LyuPSLBTD21,
  author       = {Zimeng Lyu and
                  Shuchita Patwardhan and
                  David Stadem and
                  James Langfeld and
                  Steven A. Benson and
                  Seth Thoelke and
                  Travis Desell},
  editor       = {Krzysztof Krawiec},
  title        = {Neuroevolution of recurrent neural networks for time series forecasting
                  of coal-fired power plant operating parameters},
  booktitle    = {{GECCO} '21: Genetic and Evolutionary Computation Conference, Companion
                  Volume, Lille, France, July 10-14, 2021},
  pages        = {1735--1743},
  publisher    = {{ACM}},
  year         = {2021},
  url          = {https://doi.org/10.1145/3449726.3463196},
  doi          = {10.1145/3449726.3463196},
  timestamp    = {Thu, 15 Jul 2021 15:50:04 +0200},
  biburl       = {https://dblp.org/rec/conf/gecco/LyuPSLBTD21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2103-10760,
  author       = {Razvan{-}Gabriel Cirstea and
                  Chenjuan Guo and
                  Bin Yang},
  title        = {Graph Attention Recurrent Neural Networks for Correlated Time Series
                  Forecasting - Full version},
  journal      = {CoRR},
  volume       = {abs/2103.10760},
  year         = {2021},
  url          = {https://arxiv.org/abs/2103.10760},
  eprinttype    = {arXiv},
  eprint       = {2103.10760},
  timestamp    = {Wed, 24 Mar 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2103-10760.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/complexity/ZhangD20,
  author       = {Zao Zhang and
                  Yuan Dong},
  title        = {Temperature Forecasting via Convolutional Recurrent Neural Networks
                  Based on Time-Series Data},
  journal      = {Complex.},
  volume       = {2020},
  pages        = {3536572:1--3536572:8},
  year         = {2020},
  url          = {https://doi.org/10.1155/2020/3536572},
  doi          = {10.1155/2020/3536572},
  timestamp    = {Thu, 24 Sep 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/complexity/ZhangD20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/eswa/BandaraBS20,
  author       = {Kasun Bandara and
                  Christoph Bergmeir and
                  Slawek Smyl},
  title        = {Forecasting across time series databases using recurrent neural networks
                  on groups of similar series: {A} clustering approach},
  journal      = {Expert Syst. Appl.},
  volume       = {140},
  year         = {2020},
  url          = {https://doi.org/10.1016/j.eswa.2019.112896},
  doi          = {10.1016/J.ESWA.2019.112896},
  timestamp    = {Sat, 09 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/eswa/BandaraBS20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/edbt/YoshimiE20,
  author       = {Shuhei Yoshimi and
                  Koji Eguchi},
  editor       = {Alexandra Poulovassilis and
                  David Auber and
                  Nikos Bikakis and
                  Panos K. Chrysanthis and
                  George Papastefanatos and
                  Mohamed A. Sharaf and
                  Nikos Pelekis and
                  Chiara Renso and
                  Yannis Theodoridis and
                  Karine Zeitouni and
                  Tania Cerquitelli and
                  Silvia Chiusano and
                  Genoveva Vargas{-}Solar and
                  Behrooz Omidvar{-}Tehrani and
                  Katharina Morik and
                  Jean{-}Michel Renders and
                  Donatella Firmani and
                  Letizia Tanca and
                  Davide Mottin and
                  Matteo Lissandrini and
                  Yannis Velegrakis},
  title        = {Forecasting Corporate Financial Time Series using Multi-phase Attention
                  Recurrent Neural Networks},
  booktitle    = {Proceedings of the Workshops of the {EDBT/ICDT} 2020 Joint Conference,
                  Copenhagen, Denmark, March 30, 2020},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {2578},
  publisher    = {CEUR-WS.org},
  year         = {2020},
  url          = {https://ceur-ws.org/Vol-2578/DARLIAP12.pdf},
  timestamp    = {Fri, 10 Mar 2023 16:23:44 +0100},
  biburl       = {https://dblp.org/rec/conf/edbt/YoshimiE20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/esann/OrozcoR20,
  author       = {Bernardo P{\'{e}}rez Orozco and
                  Stephen J. Roberts},
  title        = {Zero-shot and few-shot time series forecasting with ordinal regression
                  recurrent neural networks},
  booktitle    = {28th European Symposium on Artificial Neural Networks, Computational
                  Intelligence and Machine Learning, {ESANN} 2020, Bruges, Belgium,
                  October 2-4, 2020},
  pages        = {503--508},
  year         = {2020},
  url          = {https://www.esann.org/sites/default/files/proceedings/2020/ES2020-71.pdf},
  timestamp    = {Fri, 29 Jan 2021 22:08:59 +0100},
  biburl       = {https://dblp.org/rec/conf/esann/OrozcoR20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/intellisys/FloresTC20,
  author       = {Anibal Flores and
                  Hugo Tito and
                  Deymor Centty},
  editor       = {Kohei Arai and
                  Supriya Kapoor and
                  Rahul Bhatia},
  title        = {Comparison of Hybrid Recurrent Neural Networks for Univariate Time
                  Series Forecasting},
  booktitle    = {Intelligent Systems and Applications - Proceedings of the 2020 Intelligent
                  Systems Conference, IntelliSys 2020, London, UK, September 3-4, 2020,
                  Volume 1},
  series       = {Advances in Intelligent Systems and Computing},
  volume       = {1250},
  pages        = {375--387},
  publisher    = {Springer},
  year         = {2020},
  url          = {https://doi.org/10.1007/978-3-030-55180-3\_28},
  doi          = {10.1007/978-3-030-55180-3\_28},
  timestamp    = {Tue, 08 Dec 2020 11:58:53 +0100},
  biburl       = {https://dblp.org/rec/conf/intellisys/FloresTC20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2003-12162,
  author       = {Bernardo P{\'{e}}rez Orozco and
                  Stephen J. Roberts},
  title        = {Zero-shot and few-shot time series forecasting with ordinal regression
                  recurrent neural networks},
  journal      = {CoRR},
  volume       = {abs/2003.12162},
  year         = {2020},
  url          = {https://arxiv.org/abs/2003.12162},
  eprinttype    = {arXiv},
  eprint       = {2003.12162},
  timestamp    = {Wed, 01 Apr 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2003-12162.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/npl/AbdulkarimE19,
  author       = {Salihu A. Abdulkarim and
                  Andries P. Engelbrecht},
  title        = {Time Series Forecasting Using Neural Networks: Are Recurrent Connections
                  Necessary?},
  journal      = {Neural Process. Lett.},
  volume       = {50},
  number       = {3},
  pages        = {2763--2795},
  year         = {2019},
  url          = {https://doi.org/10.1007/s11063-019-10061-5},
  doi          = {10.1007/S11063-019-10061-5},
  timestamp    = {Thu, 09 Jul 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/npl/AbdulkarimE19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1901-00069,
  author       = {G{\'{a}}bor Petneh{\'{a}}zi},
  title        = {Recurrent Neural Networks for Time Series Forecasting},
  journal      = {CoRR},
  volume       = {abs/1901.00069},
  year         = {2019},
  url          = {http://arxiv.org/abs/1901.00069},
  eprinttype    = {arXiv},
  eprint       = {1901.00069},
  timestamp    = {Thu, 31 Jan 2019 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1901-00069.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1909-00590,
  author       = {Hansika Hewamalage and
                  Christoph Bergmeir and
                  Kasun Bandara},
  title        = {Recurrent Neural Networks for Time Series Forecasting: Current Status
                  and Future Directions},
  journal      = {CoRR},
  volume       = {abs/1909.00590},
  year         = {2019},
  url          = {http://arxiv.org/abs/1909.00590},
  eprinttype    = {arXiv},
  eprint       = {1909.00590},
  timestamp    = {Sun, 02 Oct 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1909-00590.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/nca/Fernandez-Navarro18,
  author       = {Francisco Fern{\'{a}}ndez{-}Navarro and
                  Maria Angeles de la Cruz and
                  Pedro Antonio Guti{\'{e}}rrez and
                  Adiel Casta{\~{n}}o and
                  C{\'{e}}sar Herv{\'{a}}s{-}Mart{\'{\i}}nez},
  title        = {Time series forecasting by recurrent product unit neural networks},
  journal      = {Neural Comput. Appl.},
  volume       = {29},
  number       = {3},
  pages        = {779--791},
  year         = {2018},
  url          = {https://doi.org/10.1007/s00521-016-2494-2},
  doi          = {10.1007/S00521-016-2494-2},
  timestamp    = {Thu, 10 Sep 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/nca/Fernandez-Navarro18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/lopal/KhaldiCA18,
  author       = {Rohaifa Khaldi and
                  Raddouane Chiheb and
                  Abdellatif El Afia},
  editor       = {Saaid Amzazi and
                  Abdellatif El Afia and
                  Mohammed Essaaidi},
  title        = {Feedforward and Recurrent Neural Networks for Time Series Forecasting:
                  Comparative Study},
  booktitle    = {Proceedings of the International Conference on Learning and Optimization
                  Algorithms: Theory and Applications, {LOPAL} 2018, Rabat, Morocco,
                  May 2-5, 2018},
  pages        = {18:1--18:6},
  publisher    = {{ACM}},
  year         = {2018},
  url          = {https://doi.org/10.1145/3230905.3230946},
  doi          = {10.1145/3230905.3230946},
  timestamp    = {Sun, 25 Oct 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/lopal/KhaldiCA18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/sgai/KrstanovicP17,
  author       = {Sascha Krstanovic and
                  Heiko Paulheim},
  editor       = {Max Bramer and
                  Miltos Petridis},
  title        = {Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting},
  booktitle    = {Artificial Intelligence {XXXIV} - 37th {SGAI} International Conference
                  on Artificial Intelligence, {AI} 2017, Cambridge, UK, December 12-14,
                  2017, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {10630},
  pages        = {34--46},
  publisher    = {Springer},
  year         = {2017},
  url          = {https://doi.org/10.1007/978-3-319-71078-5\_3},
  doi          = {10.1007/978-3-319-71078-5\_3},
  timestamp    = {Wed, 25 Sep 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/sgai/KrstanovicP17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1709-03159,
  author       = {Hardik Goel and
                  Igor Melnyk and
                  Arindam Banerjee},
  title        = {{R2N2:} Residual Recurrent Neural Networks for Multivariate Time Series
                  Forecasting},
  journal      = {CoRR},
  volume       = {abs/1709.03159},
  year         = {2017},
  url          = {http://arxiv.org/abs/1709.03159},
  eprinttype    = {arXiv},
  eprint       = {1709.03159},
  timestamp    = {Thu, 28 Jan 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1709-03159.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/adma/ShaoZMH16,
  author       = {Dongxu Shao and
                  Tianyou Zhang and
                  Kamal Mannar and
                  Yue Han},
  editor       = {Jinyan Li and
                  Xue Li and
                  Shuliang Wang and
                  Jianxin Li and
                  Quan Z. Sheng},
  title        = {Time Series Forecasting on Engineering Systems Using Recurrent Neural
                  Networks},
  booktitle    = {Advanced Data Mining and Applications - 12th International Conference,
                  {ADMA} 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {10086},
  pages        = {459--471},
  year         = {2016},
  url          = {https://doi.org/10.1007/978-3-319-49586-6\_31},
  doi          = {10.1007/978-3-319-49586-6\_31},
  timestamp    = {Tue, 14 May 2019 10:00:50 +0200},
  biburl       = {https://dblp.org/rec/conf/adma/ShaoZMH16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/cifer/BrezakBMKN12,
  author       = {Danko Brezak and
                  Tomislav Bacek and
                  Dubravko Majetic and
                  Josip Kasac and
                  Branko Novakovic},
  title        = {A comparison of feed-forward and recurrent neural networks in time
                  series forecasting},
  booktitle    = {Proceedings of the 2012 {IEEE} Conference on Computational Intelligence
                  for Financial Engineering {\&} Economics, CIFEr 2012, New York
                  City, NY, USA, March 29-30, 2012},
  pages        = {1--6},
  publisher    = {{IEEE}},
  year         = {2012},
  url          = {https://doi.org/10.1109/CIFEr.2012.6327793},
  doi          = {10.1109/CIFER.2012.6327793},
  timestamp    = {Sat, 05 Sep 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/cifer/BrezakBMKN12.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/conielecomp/Garcia-PedreroG10,
  author       = {Angel Garc{\'{\i}}a{-}Pedrero and
                  Pilar G{\'{o}}mez{-}Gil},
  title        = {Time series forecasting using recurrent neural networks and wavelet
                  reconstructed signals},
  booktitle    = {20th International Conference on Electronics, Communications and Computer,
                  {CONIELECOMP} 2010, Cholula, Puebla, Mexico, February 22-24, 2010},
  pages        = {169--173},
  publisher    = {{IEEE}},
  year         = {2010},
  url          = {https://doi.org/10.1109/CONIELECOMP.2010.5440775},
  doi          = {10.1109/CONIELECOMP.2010.5440775},
  timestamp    = {Tue, 13 Jul 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/conielecomp/Garcia-PedreroG10.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ijcnn/SeedigGR09,
  author       = {Hans Georg Seedig and
                  Ralph Grothmann and
                  Thomas A. Runkler},
  title        = {Forecasting of clustered time series with recurrent neural networks
                  and a fuzzy clustering scheme},
  booktitle    = {International Joint Conference on Neural Networks, {IJCNN} 2009, Atlanta,
                  Georgia, USA, 14-19 June 2009},
  pages        = {2846--2853},
  publisher    = {{IEEE} Computer Society},
  year         = {2009},
  url          = {https://doi.org/10.1109/IJCNN.2009.5178775},
  doi          = {10.1109/IJCNN.2009.5178775},
  timestamp    = {Fri, 24 Mar 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/ijcnn/SeedigGR09.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/inffus/AssaadBC08,
  author       = {Mohammad Assaad and
                  Romuald Bon{\'{e}} and
                  Hubert Cardot},
  title        = {A new boosting algorithm for improved time-series forecasting with
                  recurrent neural networks},
  journal      = {Inf. Fusion},
  volume       = {9},
  number       = {1},
  pages        = {41--55},
  year         = {2008},
  url          = {https://doi.org/10.1016/j.inffus.2006.10.009},
  doi          = {10.1016/J.INFFUS.2006.10.009},
  timestamp    = {Thu, 20 Feb 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/inffus/AssaadBC08.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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