Frontiers in Artificial Intelligence

Original Research

Accepted on 15 Jan 2025

Transfer Learning for Predicting of Gross Domestic Product (GDP) Growth Based on Remittance Inflows using RNN-LSTM Hybrid Model: A Case Study of The Gambia

in AI in Finance

Haruna Jallow
Ronald Waweru Mwangi
Alieu Gibba
Herbert Imboga

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1510341

Original Research

Published on 12 Dec 2024

Segmenting female students' perceptions about Fintech using Explainable AI

in AI in Finance

Christos Adam

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1504963

433 views

Original Research

Published on 27 Nov 2024

Predicting financial distress in TSX-listed firms using machine learning algorithms

in AI in Finance

Mark Eshwar Lokanan
Sana Ramzan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1466321

905 views

Brief Research Report

Published on 27 Nov 2024

Adoption of artificial intelligence and machine learning in banking systems: a qualitative survey of board of directors

in AI in Finance

Abdullah Eskandarany

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1440051

1,034 views

Editorial

Published on 25 Jun 2024

Editorial: Trends in AI4ESG: AI for sustainable finance and ESG technology

in AI in Finance

Peter Schwendner
Jan-Alexander Posth

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1448045

1,235 views

Brief Research Report

Published on 15 May 2024

Statistical learning models to measure the impact of COVID-19 on financial fragility

in AI in Finance

Arianna Agosto
Paolo Giudici
Alessandra Tanda

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1358812

896 views

Review

Published on 08 Apr 2024

Enhancing portfolio management using artificial intelligence: literature review

in AI in Finance

Kristina Sutiene
Peter Schwendner
Ciprian Sipos
Luis Lorenzo
Miroslav Mirchev
Petre Lameski
Audrius Kabasinskas
Chemseddine Tidjani
Belma Ozturkkal
Jurgita Cerneviciene

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1371502

16,649 views
2 citations

Original Research

Published on 21 Feb 2024

Computing the impact of central clearing on systemic risk

in AI in Finance

Nikolai Nowaczyk
Sharyn O'Halloran

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1138611

1,650 views

Original Research

Published on 05 Feb 2024

Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AI

in AI in Finance

Nataliya Tkachenko
Simon Frieder
Ryan-Rhys Griffiths
Christoph Nedopil

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1167137

2,303 views

Editorial

Published on 19 Jan 2024

Editorial: Financial intermediation versus disintermediation: opportunities and challenges in the FinTech era, volume II

in AI in Finance

Anna Omarini

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1326358

1,226 views

Brief Research Report

Published on 09 Jan 2024

Opportunities for synthetic data in nature and climate finance

in AI in Finance

Nataliya Tkachenko

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1168749

3,030 views

Methods

Published on 08 Jan 2024

Application of hybrid fuzzy interval-based machine learning models on financial time series — A case study of Taiwan biotech index during the epidemic period

in AI in Finance

Hsio-Yi Lin
Bin-Wei Hsu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1283741

1,751 views

Policy and Practice Reviews

Published on 10 Nov 2023

Considerations on the regulation of AI systems in the financial sector by the AI Act

in AI in Finance

Gabriele Mazzini
Filippo Bagni

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1277544

6,183 views
3 citations

Perspective

Published on 03 Nov 2023

Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality

in AI in Finance

Joerg Osterrieder

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1276804

1,527 views

Original Research

Published on 03 Oct 2023

First impressions of a financial AI assistant: differences between high trust and low trust users

in AI in Finance

Simon Schreibelmayr
Laura Moradbakhti
Martina Mara

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1241290

3,138 views
2 citations

Original Research

Published on 25 Sep 2023

Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets

in AI in Finance

Peer Nagy
Jan-Peter Calliess
Stefan Zohren

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1151003

2,718 views

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Articles

Transfer Learning for Predicting of Gross Domestic Product (GDP) Growth Based on Remittance Inflows using RNN-LSTM Hybrid Model: A Case Study of The Gambia

Segmenting female students' perceptions about Fintech using Explainable AI

Predicting financial distress in TSX-listed firms using machine learning algorithms

Adoption of artificial intelligence and machine learning in banking systems: a qualitative survey of board of directors

Editorial: Trends in AI4ESG: AI for sustainable finance and ESG technology

Statistical learning models to measure the impact of COVID-19 on financial fragility

Enhancing portfolio management using artificial intelligence: literature review

Computing the impact of central clearing on systemic risk

Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AI

Editorial: Financial intermediation versus disintermediation: opportunities and challenges in the FinTech era, volume II

Opportunities for synthetic data in nature and climate finance

Application of hybrid fuzzy interval-based machine learning models on financial time series — A case study of Taiwan biotech index during the epidemic period

Considerations on the regulation of AI systems in the financial sector by the AI Act

Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality

First impressions of a financial AI assistant: differences between high trust and low trust users

Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets