IEcons: A New Consensus Approach Using Multi-Text Representations for Clustering Task.

Karima Boutalbi|Yong-il Lee|Rafika Boutalbi|Hervé Verjus|Sang-Hyob Nam|Sang-Hyob Nam|Hervé Verjus|Jaeseung Jeong|Kavé Salamatian|Jaeseung Jeong|Kavé Salamatian|David Telisson|Olivier Le Van


Anthology ID:DBLP:conf/cikm/BoutalbiBVSTV24
Volume:Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Year:2024
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:3632-3636
URL:https://doi.org/10.1145/3627673.3679941
DOI:https://doi.org/10.1145/3627673.3679941
DBLP:conf/cikm/BoutalbiBVSTV24
BibTeX:
@inproceedings{boutalbi-2024-iecons, author = {Karima Boutalbi and Yong-il Lee and Rafika Boutalbi and Herv\'{e} Verjus and Sang-Hyob Nam and Sang-Hyob Nam and Herv\'{e} Verjus and Jaeseung Jeong and Kav\'{e} Salamatian and Jaeseung Jeong and Kav\'{e} Salamatian and David Telisson and Olivier Le Van}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{IEcons: A New Consensus Approach Using Multi-Text Representations for Clustering Task}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {3632--3636}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679941}, doi = {https://doi.org/10.1145/3627673.3679941} }