Applied Stochastic Models in Business and Industry (ASMBI)


Authors of papers presented at SDS2024 may submit a full paper for possible publication in a special issue of the ASMBI journal:

“Explainable Data Science Techniques”

(Eds. Rosanna Verde, Paola Cerchiello, Antonella Plaia, Silvia Salini)

This special issue aims at gathering high quality contributions on innovative methods, algorithms and strategies that can improve the interpretability of ML and AI techniques in Data Science.

Contributions should include demonstrations using data, with a particular focus on business and industrial applications. Articles must present new methods and/or insightful strategies of analysis based on classical techniques. Submissions are not restricted to papers presented at the SDS Conference.


Submission

All submissions will go through the standard, selective review process of ASMBI. Please follow the ASMBI author submission guidelines given on the ASMBI website and click on the box of submissions to special issues, mentioning “Explainable Data Science” when prompted.


Submission

The deadline for submissions is extended to January 7th, 2025 through the journal website: https://wiley.atyponrex.com/journal/ASMB (earlier submission is encouraged).


Dowload the call for paper

 

A work by Gianluca Sottile

(on behalf of the local organizing committee)