Second International Workshop on Modelling Uncertainty in the Financial World (MUFin'22)
MUFin'22@ECML-PKDD2022
19th September, 2022 (Online Workshop)
MUFin'22@ECML-PKDD2022
19th September, 2022 (Online Workshop)
Paper Submission: 20th June 2022 27th June 2022 (One time extension!)
Paper Decisions: 16th July 2022
Camera-ready Submission: 15th August 2022
All deadlines are in Anywhere on Earth (AoE) timezone
Submission Link: https://easychair.org/conferences/?conf=mufin22
Of many things, Covid-19 has provided a stark proof that uncertainty is real, and it is here to stay. Perhaps nothing is more sensitive to uncertainty than the Financial World. To couple with it, while Artificial Intelligence techniques are used to predict the future state of events, their performance is significantly impacted by disruptions not captured in the past. Unforeseen scenarios such as economy changes, variations in the customer behaviour, pandemics, recessions, and fraudulent transactions often result in unexpected behaviour of financial models, thus associating a level of uncertainty with them. It is thus imperative for the research community to explore, identify, analyze, and address such uncertainties in order to develop robust models applicable in real-world scenarios. To this effect, the goal of this workshop is to bring academics and industry experts together to discuss on this important, timely and yet-unsolved area of modelling uncertainties in the financial world.
We invite full papers (that have not been published before and nor are currently under consideration at some other venue) focused on modelling data uncertainty for financial applications. Topics of interest include, but are not limited to the following:
Application Topics:
- Evaluating financial risk
- Forecasting stock market
- Modelling seasonality in market trends
- Fraud prediction
- Modelling temporal social media activity
- Recommendation systems
Technical Topics:
- Temporal/Sequential data modelling – clustering, classification
- Modelling uncertainty in financial data
- Temporal graphs
- Time Series Forecasting
- Text analytics of financial reports, forecasts, and documents
- Explainable/interpretable sequential modelling
- Exploring fairness and robustness towards bias in financial models
- Representation learning from temporal/sequential data
- Modelling financial data as temporal point processes
The paper formatting must be consistent with that of ECML-PKDD main conference research track: https://2022.ecmlpkdd.org/index.php/research-and-ads-tracks/. The link to the submission site will be made available soon!
The workshop is a half-day online event.
The best paper will be awarded a Best Paper Award worth $500! (sponsored by Mastercard)