Quantum kernels for real-world predictions based on electronic health
records

Quantum kernels for real-world predictions based on electronic health records

12 December 2021

Frederik F. Flöther

Nathan Earnest-Noble

Papers citing "Quantum kernels for real-world predictions based on electronic health records"

9 / 9 papers shown

Title
Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification Rajiv Krishnakumar Julien Baglio Frederik F. Flöther Christian Ruiz Stefan Habringer Nicole H. Romano MedIm 44 0 0 13 Mar 2025
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application Emine Akpinar Sardar M. N. Islam Murat Oduncuoglu 32 3 0 13 Jul 2024
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning Javier Mancilla André Sequeira Tomas Tagliani Francisco Llaneza Claudio Beiza 23 1 0 15 Mar 2024
Neural auto-designer for enhanced quantum kernels Cong Lei Yuxuan Du Peng Mi Jun-chen Yu Tongliang Liu 15 5 0 20 Jan 2024
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead Kamila Zaman Alberto Marchisio Muhammad Abdullah Hanif Muhammad Shafique 31 25 0 16 Oct 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 20 23 0 03 Jul 2023
A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity Degradation Anh Phuong Ngo Nhat Le Hieu Nguyen A. Eroglu Duong Nguyen 6 5 0 06 Feb 2023
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks Anupama Ray Sai Sakunthala Guddanti Vishnu Ajith Dhinakaran Vinayagamurthy 15 5 0 30 Oct 2022
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning Francesco Di Marcantonio Massimiliano Incudini Davide Tezza Michele Grossi 66 13 0 30 Jun 2022