| Time |
Topic |
| 8:50 |
Opening Remarks by Prof. Sanghamitra Dutta
|
| 9:00 |
Invited Talk by Dr. Gautam Shroff: Trading is a worthy challenge for Machine-learning
|
| 9:20 |
Invited Tutorial by Dr. Debanjan Mahata: Keyphrases in Building NLP Driven Financial Products
|
| 9:40 |
Research Paper: AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry
|
| 9:50 |
Research Paper: Long Sequence Forecasting Model Based on Transformer for Count Time-Series Data
|
| 10:00 |
Research Paper: Gathering Demand Related Information from the Open Web for Scenario Planning
|
| 10:10 |
Research Paper: FINBIST: Financial Business Transactions classification using Transfer Learning
|
| 10:20 |
Invited Talk by Prof. Ruiming Hu: Directed Chain Generative Adversarial Networks for Multimodal Distributed Financial Data
|
| 10:40 |
Invited Talk by Dr. Ivo Vigan: How AI at Bloomberg enables Financial Forecasting
|
| 11:00 |
Research Paper: Leveraging Vision-Language Models for Granular Market Change Prediction
|
| 11:10 |
Research Paper: Ethereum Phishing Detection: A Case for Positive-Unlabelled Learning
|
| 11:20 |
Research Paper: A Framework for the Construction of a Sentiment-Driven Performance Index: The Case of DAX40
|
| 11:30 |
Research Paper: Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance
|
| 11:40 |
Research Paper: Neuro-symbolic Meta Reinforcement Learning for Trading
|
| 12:00 |
Invited Talk by Prof. Mihai Cucuringo: News sentiment propagation in financial networks
|
| 12:20 |
Invited Talk by Dr. Manuela Veloso: AI in Finance
|
| 12:40 |
Closing Remarks by Puneet Mathur
|