{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T04:55:38Z","timestamp":1754110538631,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/ijcnn.2017.7966427","type":"proceedings-article","created":{"date-parts":[[2017,7,10]],"date-time":"2017-07-10T21:41:30Z","timestamp":1499722890000},"page":"4504-4511","source":"Crossref","is-referenced-by-count":5,"title":["The fused lasso penalty for learning interpretable medical scoring systems"],"prefix":"10.1109","author":[{"given":"Nataliya","family":"Sokolovska","sequence":"first","affiliation":[]},{"given":"Yann","family":"Chevaleyre","sequence":"additional","affiliation":[]},{"given":"Karine","family":"Clement","sequence":"additional","affiliation":[]},{"given":"Jean-Daniel","family":"Zucker","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Large-scale learning with less ram via randomization","author":"golovin","year":"2013","journal-title":"ICML"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1198\/106186006X133933"},{"key":"ref12","article-title":"Repeated split sample validation to assess logistic regression and recursive partitioning: an application to the prediction of cognitive impairment","volume":"24","author":"james","year":"2006","journal-title":"Statistics in Medicine"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1097\/00003246-198108000-00008"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOAS848"},{"journal-title":"UCI Machine Learning Repository","year":"2013","author":"lichman","key":"ref15"},{"key":"ref16","article-title":"The prediction of breast cancer biopsy outcomes using two cad approaches that both emphasize an intelligible decision process","volume":"34","author":"schulz-wendtland","year":"2007","journal-title":"Medical Physics"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00134-005-2763-5"},{"journal-title":"Machine Learning A Probabilistic Perspective","year":"2012","author":"murphy","key":"ref18"},{"key":"ref19","article-title":"ipred: Improved predictors","volume":"2","author":"peters","year":"2002","journal-title":"R News"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11695-014-1511-8"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9681(84)90041-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1089\/big.2015.0033"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-015-5527-7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1001\/jama.285.22.2864"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-8587(13)70070-6"},{"key":"ref2","article-title":"Rounding methods for discrete linear classification","author":"chevaleyre","year":"2013","journal-title":"ICML"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1993.03510240069035"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.284.7.835"},{"key":"ref20","article-title":"Sparsity and smoothness via the fused lasso","volume":"67","author":"tibshirani","year":"2004","journal-title":"Journal of the Royal Statistical Society Series B (Statistical Methodology)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23114-3_10"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/BF02579324"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-014-5459-7"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50071-2"},{"key":"ref26","article-title":"Falling rule lists","author":"wang","year":"2015","journal-title":"AISTATS"},{"key":"ref25","article-title":"Supersparse linear integer models for optimized medical scoring systems","author":"ustun","year":"2015","journal-title":"Machine Learning"}],"event":{"name":"2017 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2017,5,14]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2017,5,19]]}},"container-title":["2017 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7958416\/7965814\/07966427.pdf?arnumber=7966427","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T05:24:14Z","timestamp":1500614654000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7966427\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2017.7966427","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}