[PDF][PDF] Deep Learning in Finance: A survey of Applications and techniques

E Mienye, N Jere, G Obaido, ID Mienye, K Aruleba - AI, 2024 - preprints.org
Machine learning (ML) has transformed the financial industry by enabling advanced
applications such as credit scoring, fraud detection, and market forecasting. At the core of …

[PDF][PDF] A Brief Review of recent Artificial Market Simulation (Agent-Based Model, ABM) Studies for Financial Market Regulations and/or Rules

T Mizuta - Available at SSRN 2710495, 2016 - mizutatakanobu.com
This working review shows recent agent-based models (ABMs) for financial market (artificial
market simulations) to discuss financial regulations and/or rules. This review aimed to …

Correction: Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study

J Lussange, S Vrizzi, S Palminteri, B Gutkin - PloS one, 2025 - journals.plos.org
There are errors in the Funding statemet and Acknowledgment section. The correct Funding
statement and Acknowledgment section is as follows: We graciously acknowledge the …

[PDF][PDF] CİNİUS YAYINLARI

DRMALİ YÜZBAŞIOĞLU - 2024 - researchgate.net
Untitled Page 1 Page 2 CİNİUS YAYINLARI Ömer Avni Mahallesi, Dümen Sokak, No: 11, B1
kat, Gümüşsuyu/Taksim Tel: (212) 528 33 14 http://www.ciniusyayinlari.com admin@ciniusyayinlari.com …

[PDF][PDF] Accounting, Integration into Computerized Accounting Programs, Seigniorage Rights, Taxation and Current Discussion Topics for Cryptocurrencies

MA YÜZBAŞIOĞLU - 2024 - researchgate.net
My main motivation in writing this book is to present a holistic assessment of
cryptocurrencies. My undergraduate education in mathematics, business, law, sociology …

[PDF][PDF] Epistemic biases in human reinforcement learning: behavioral evidence, computational characterization, normative status and possible applications

S Palminteri - files.osf.io
The reinforcement learning framework provides a computational and behavioral foundation
for understanding how agents learn to maximize rewards and minimize punishments …