3 citations · 5 across the 3 of their papers we have counts for
3 papers
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Nikolaos Schetakis, Paolo Bonfini, Negin Alisoltani +6
Accurate traffic forecasting plays a crucial role in modern Intelligent Transportation Systems (ITS), as it enables real-time traffic flow management, reduces congestion, and impro…
Quantum Machine Learning for Credit Scoring
Nikolaos Schetakis, Davit Aghamalyan, Michael Boguslavsky +3
In this paper we explore the use of quantum machine learning (QML) applied to credit scoring for small and medium-sized enterprises (SME). A quantum/classical hybrid approach has b…
Binary classifiers for noisy datasets: a comparative study of existing quantum machine learning frameworks and some new approaches
N. Schetakis, D. Aghamalyan, M. Boguslavsky +1
One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Com…