%0 Conference Paper %1 conf/dolap/NjokuABB24 %A Njoku, Uchechukwu F. %A Abelló, Alberto %A Bilalli, Besim %A Bontempi, Gianluca %B DOLAP %D 2024 %E Gallinucci, Enrico %E Lissandrini, Matteo %I CEUR-WS.org %K dblp %P 83-87 %T A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection. %U http://dblp.uni-trier.de/db/conf/dolap/dolap2024.html#NjokuABB24 %V 3653

@inproceedings{conf/dolap/NjokuABB24, added-at = {2024-04-02T00:00:00.000+0200}, author = {Njoku, Uchechukwu F. and Abelló, Alberto and Bilalli, Besim and Bontempi, Gianluca}, biburl = {https://www.bibsonomy.org/bibtex/21230fb03397ee5e4d6bb24cd5623d236/dblp}, booktitle = {DOLAP}, crossref = {conf/dolap/2024}, editor = {Gallinucci, Enrico and Lissandrini, Matteo}, ee = {https://ceur-ws.org/Vol-3653/short5.pdf}, interhash = {128ce41b9f5071205afd8e72f6689d9a}, intrahash = {1230fb03397ee5e4d6bb24cd5623d236}, keywords = {dblp}, pages = {83-87}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, timestamp = {2024-04-09T12:51:26.000+0200}, title = {A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection.}, url = {http://dblp.uni-trier.de/db/conf/dolap/dolap2024.html#NjokuABB24}, volume = 3653, year = 2024 }