
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
Charles Moussa, Jan N. van Rijn, Thomas Bäck, et al.
Lecture notes in computer science (2022), pp. 32-46
Closed Access | Times Cited: 11
Charles Moussa, Jan N. van Rijn, Thomas Bäck, et al.
Lecture notes in computer science (2022), pp. 32-46
Closed Access | Times Cited: 11
Showing 11 citing articles:
A hyperparameter study for quantum kernel methods
Sebastian Egginger, Alona Sakhnenko, J. Lorenz
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 4
Sebastian Egginger, Alona Sakhnenko, J. Lorenz
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 4
Data re-uploading with a single qudit
Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, et al.
Quantum Machine Intelligence (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 5
Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, et al.
Quantum Machine Intelligence (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 5
Hyperparameter importance and optimization of quantum neural networks across small datasets
Charles Moussa, Yash J. Patel, Vedran Dunjko, et al.
Machine Learning (2023) Vol. 113, Iss. 4, pp. 1941-1966
Open Access | Times Cited: 5
Charles Moussa, Yash J. Patel, Vedran Dunjko, et al.
Machine Learning (2023) Vol. 113, Iss. 4, pp. 1941-1966
Open Access | Times Cited: 5
Application of quantum-inspired generative models to small molecular datasets
Charles Moussa, Hao Wang, Mauricio Araya‐Polo, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 342-348
Open Access | Times Cited: 4
Charles Moussa, Hao Wang, Mauricio Araya‐Polo, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 342-348
Open Access | Times Cited: 4
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
Santosh Sanjeev, Nuren Zhaksylyk, Ibrahim Almakky, et al.
Lecture notes in computer science (2024), pp. 131-141
Closed Access | Times Cited: 1
Santosh Sanjeev, Nuren Zhaksylyk, Ibrahim Almakky, et al.
Lecture notes in computer science (2024), pp. 131-141
Closed Access | Times Cited: 1
On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data
Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Open Access | Times Cited: 3
Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Open Access | Times Cited: 3
Application of quantum-inspired generative models to small molecular datasets
C. Moussa, Hao Wang, Mauricio Araya‐Polo, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
C. Moussa, Hao Wang, Mauricio Araya‐Polo, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning
T.M. Lee, Muhammad Ismail, Samuel Yen-Chi Chen
(2024), pp. 1815-1820
Closed Access
T.M. Lee, Muhammad Ismail, Samuel Yen-Chi Chen
(2024), pp. 1815-1820
Closed Access
Data re-uploading with a single qudit
Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
The Effect of Penalty Factors of Constrained Hamiltonians on the Eigenspectrum in Quantum Annealing
Christoph Roch, Daniel Ratke, Jonas Nüßlein, et al.
ACM Transactions on Quantum Computing (2022) Vol. 4, Iss. 2, pp. 1-18
Open Access | Times Cited: 2
Christoph Roch, Daniel Ratke, Jonas Nüßlein, et al.
ACM Transactions on Quantum Computing (2022) Vol. 4, Iss. 2, pp. 1-18
Open Access | Times Cited: 2
A Hyperparameter Study for Quantum Kernel Methods
Sebastian Egginger, Alona Sakhnenko, J. Lorenz
arXiv (Cornell University) (2023)
Open Access
Sebastian Egginger, Alona Sakhnenko, J. Lorenz
arXiv (Cornell University) (2023)
Open Access