Daniele Raimondi
Daniele is a data scientist with expertise in statistics, data science and finance, passionate about exploring the intersection of machine learning and financial markets.
Since 2023, he is working at MDPI, one of the largest open-access publishers.
A former national 400m sprinter.
MDPI
Git*hub|lab –Session
08-28
14:25
20min
A Qdrant and Specter2 framework for tracking resubmissions of rejected manuscripts in academia
Daniele Raimondi
This presentation introduces a Qdrant vector DB and Specter2 model used to identify whether a rejected academic manuscript is later published in a competing journal. Our method combines AI, data science and analytics to ensure a good identification of manuscripts and authors. The findings offer insights into resubmission patterns, enhancing our understanding of academic publishing dynamics. The system is implemented in Python.
Data Science and Visualisation
Room 7