13 citations · 26 across the 7 of their papers we have counts for
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cs.LG2021★ 13 cited
PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT
Hamid Bekamiri, Daniel S. Hain, Roman Jurowetzki
This study provides an efficient approach for using text data to calculate patent-to-patent (p2p) technological similarity, and presents a hybrid framework for leveraging the resul…
cs.LG2020★ 3 cited
Introduction to Rare-Event Predictive Modeling for Inferential Statisticians -- A Hands-On Application in the Prediction of Breakthrough Patents
Daniel Hain, Roman Jurowetzki
Recent years have seen a substantial development of quantitative methods, mostly led by the computer science community with the goal of developing better machine learning applicati…