Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering

Chloe Pomeroy, Aleksandar Pramov, Karishma Thakrar, Lakshmi Yendapalli. Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering. In Guglielmo Faggioli, Nicola Ferro 0001, Paolo Rosso, Damiano Spina, editors, Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2025, Madrid, Spain, 9-12 September 2025. Volume 4038 of CEUR Workshop Proceedings, pages 4141-4157, CEUR-WS.org, 2025. [doi]

@inproceedings{PomeroyPTY25,
  title = {Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering},
  author = {Chloe Pomeroy and Aleksandar Pramov and Karishma Thakrar and Lakshmi Yendapalli},
  year = {2025},
  url = {https://ceur-ws.org/Vol-4038/paper_342.pdf},
  researchr = {https://researchr.org/publication/PomeroyPTY25},
  cites = {0},
  citedby = {0},
  pages = {4141-4157},
  booktitle = {Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2025, Madrid, Spain, 9-12 September 2025},
  editor = {Guglielmo Faggioli and Nicola Ferro 0001 and Paolo Rosso and Damiano Spina},
  volume = {4038},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}