Hybrid Conference (In Person / Virtual)

International Conference on Financial Applications of Machine Learning (ICFAML - 27)
27th - 28th April 2027 , Boston, USA
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Call For Papers

The ICFAML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Machine Learning, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Financial forecasting using machine learning
02
Risk assessment models in finance
03
Algorithmic trading strategies with ML
04
Fraud detection techniques in banking
05
Portfolio optimization using AI methods
06
Sentiment analysis for stock market prediction
07
Credit scoring models with machine learning
08
Impact of ML on financial regulations
09
Predictive maintenance in financial services
10
Customer segmentation using machine learning
11
Time series analysis in finance
12
Blockchain technology and machine learning
13
Ethics of AI in financial applications
14
Automated financial reporting systems
15
Machine learning in insurance underwriting
16
Market trend analysis using AI
17
Behavioral finance and machine learning
18
Investment strategies driven by AI
19
Data privacy in financial machine learning
20
Real-time analytics in financial markets

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.