Can We Predict QPP? An Approach Based on Multivariate Outliers.

Adrian-Gabriel Chifu|Sébastien Déjean|Moncef Garouani|Josiane Mothe|Diégo Ortiz|Md. Zia Ullah


Anthology ID:DBLP:conf/ecir/ChifuDGMOU24
Volume:Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III
Year:2024
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:458-467
URL:https://doi.org/10.1007/978-3-031-56063-7_38
DOI:https://doi.org/10.1007/978-3-031-56063-7_38
DBLP:conf/ecir/ChifuDGMOU24
BibTeX:
@inproceedings{chifu-2024-predict, author = {Adrian-Gabriel Chifu and S\'{e}bastien D\'{e}jean and Moncef Garouani and Josiane Mothe and Di\'{e}go Ortiz and Md. Zia Ullah}, editor = {Nazli Goharian and Nicola Tonellotto and Yulan He and Aldo Lipani and Graham McDonald and Craig Macdonald and Iadh Ounis}, title = {{Can We Predict QPP? An Approach Based on Multivariate Outliers}}, booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III}}, series = {Lecture Notes in Computer Science}, volume = {14610}, pages = {458--467}, publisher = {Springer}, year = {2024}, url = {https://doi.org/10.1007/978-3-031-56063-7_38}, doi = {https://doi.org/10.1007/978-3-031-56063-7_38} }