OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Entropic approximate learning for financial decision-making in the small data regime
Edoardo Vecchi, Gabriele Berra, Steffen Albrecht, et al.
Research in International Business and Finance (2023) Vol. 65, pp. 101958-101958
Open Access | Times Cited: 6
Edoardo Vecchi, Gabriele Berra, Steffen Albrecht, et al.
Research in International Business and Finance (2023) Vol. 65, pp. 101958-101958
Open Access | Times Cited: 6
Showing 6 citing articles:
Chaos, overfitting and equilibrium: To what extent can machine learning beat the financial market?
Yaohao Peng, João Gabriel de Moraes Souza
International Review of Financial Analysis (2024) Vol. 95, pp. 103474-103474
Closed Access | Times Cited: 2
Yaohao Peng, João Gabriel de Moraes Souza
International Review of Financial Analysis (2024) Vol. 95, pp. 103474-103474
Closed Access | Times Cited: 2
Mastery of “Monthly Effects”: Big Data Insights into Contrarian Strategies for DJI 30 and NDX 100 Stocks over a Two-Decade Period
Chien-Liang Chiù, Paoyu Huang, Min-Yuh Day, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 356-356
Open Access | Times Cited: 1
Chien-Liang Chiù, Paoyu Huang, Min-Yuh Day, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 356-356
Open Access | Times Cited: 1
Gauge-Optimal Approximate Learning for Small Data Classification
Edoardo Vecchi, Davide Bassetti, Fabio Graziato, et al.
Neural Computation (2024) Vol. 36, Iss. 6, pp. 1198-1227
Closed Access | Times Cited: 1
Edoardo Vecchi, Davide Bassetti, Fabio Graziato, et al.
Neural Computation (2024) Vol. 36, Iss. 6, pp. 1198-1227
Closed Access | Times Cited: 1
Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning
Edoardo Vecchi, Juraj Kardoš, Malik Lechekhab, et al.
Journal of Computational Science (2024) Vol. 76, pp. 102208-102208
Closed Access
Edoardo Vecchi, Juraj Kardoš, Malik Lechekhab, et al.
Journal of Computational Science (2024) Vol. 76, pp. 102208-102208
Closed Access
On Entropic Learning from Noisy Time Series in the Small Data Regime
Davide Bassetti, Lukáš Pospíšil, Illia Horenko
Entropy (2024) Vol. 26, Iss. 7, pp. 553-553
Open Access
Davide Bassetti, Lukáš Pospíšil, Illia Horenko
Entropy (2024) Vol. 26, Iss. 7, pp. 553-553
Open Access
Graphical Deep Learning Prediction Model for Stock Risk Management
Haewon Byeon, Shyamsunder Chitta, Shavkatov Navruzbek Shavkatovich, et al.
Fluctuation and Noise Letters (2023) Vol. 23, Iss. 02
Closed Access
Haewon Byeon, Shyamsunder Chitta, Shavkatov Navruzbek Shavkatovich, et al.
Fluctuation and Noise Letters (2023) Vol. 23, Iss. 02
Closed Access
