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Andrzej Cichocki

Personal Details

First Name:Andrzej
Middle Name:
Last Name:Cichocki
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RePEc Short-ID:pci37
[This author has chosen not to make the email address public]
https://faculty.skoltech.ru/people/andrzejcichocki
Skoltech, Riken TUAT UMK IBS PAN

Affiliation

(50%) Skoltech (Skoltech)

https://faculty.skoltech.ru/
Moscow

(50%) RIKEN (RIKEN)

https://www.riken.jp/en/research/labs/aip/
Tokyo

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Evgeny Ponomarev & Ivan Oseledets & Andrzej Cichocki, 2020. "Using Reinforcement Learning in the Algorithmic Trading Problem," Papers 2002.11523, arXiv.org.

Articles

  1. Andrzej Cichocki & Stanley R Stansell & Zbigniew Leonowicz & James Buck, 2005. "Independent variable selection: Application of independent component analysis to forecasting a stock index," Journal of Asset Management, Palgrave Macmillan, vol. 6(4), pages 248-258, December.
  2. Cichocki, A. & Unbehauen, R. & Weinzierl, K. & Holzel, R., 1996. "A new neural network for solving linear programming problems," European Journal of Operational Research, Elsevier, vol. 93(2), pages 244-256, September.

Chapters

  1. Pando Georgiev & Fabian Theis & Andrzej Cichocki & Hovagim Bakardjian, 2007. "Sparse Component Analysis: a New Tool for Data Mining," Springer Optimization and Its Applications, in: Panos M. Pardalos & Vladimir L. Boginski & Alkis Vazacopoulos (ed.), Data Mining in Biomedicine, pages 91-116, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

    Sorry, no citations of articles recorded.

Chapters

  1. Pando Georgiev & Fabian Theis & Andrzej Cichocki & Hovagim Bakardjian, 2007. "Sparse Component Analysis: a New Tool for Data Mining," Springer Optimization and Its Applications, in: Panos M. Pardalos & Vladimir L. Boginski & Alkis Vazacopoulos (ed.), Data Mining in Biomedicine, pages 91-116, Springer.

    Cited by:

    1. Amaldi, Edoardo & Coniglio, Stefano, 2013. "A distance-based point-reassignment heuristic for the k-hyperplane clustering problem," European Journal of Operational Research, Elsevier, vol. 227(1), pages 22-29.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (1) 2020-03-09
  2. NEP-CMP: Computational Economics (1) 2020-03-09
  3. NEP-FMK: Financial Markets (1) 2020-03-09

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