Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers.
Maurizio Ferrari Dacrema|Fabio Moroni|Riccardo Nembrini|Nicola Ferro|Guglielmo Faggioli|Paolo Cremonesi
| Anthology ID: | DBLP:conf/sigir/DacremaMN0FC22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2814-2824 |
| URL: | https://doi.org/10.1145/3477495.3531755 |
| DOI: | https://doi.org/10.1145/3477495.3531755 |
| DBLP: | conf/sigir/DacremaMN0FC22 |
| BibTeX: |
@inproceedings{dacrema-2022-towards,
author = {Maurizio Ferrari Dacrema and
Fabio Moroni and
Riccardo Nembrini and
Nicola Ferro and
Guglielmo Faggioli and
Paolo Cremonesi},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {2814--2824},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531755},
doi = {https://doi.org/10.1145/3477495.3531755}
}