10 papers:
ICML-2015-Hernandez-Lobato #feature model #multi #probability- A Probabilistic Model for Dirty Multi-task Feature Selection (DHL, JMHL, ZG), pp. 1073–1082.
KDD-2015-SongLZ #clustering- Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data (SS, CL, XZ), pp. 1115–1124.
SIGMOD-2014-WangKFGKM #framework #performance #query- A sample-and-clean framework for fast and accurate query processing on dirty data (JW, SK, MJF, KG, TK, TM), pp. 469–480.
CSCW-2014-KnibbeOCMBEIF #3d- Quick and dirty: streamlined 3D scanning in archaeology (JK, KO, AC, MTM, PDB, GE, SI, MF), pp. 1366–1376.
SAC-2014-YooLB #memory management #policy- The least-dirty-first cache replacement policy for phase-change memory (SY, EL, HB), pp. 1449–1454.
- SIGMOD-2010-KohlerZSST
- Sampling dirty data for matching attributes (HK, XZ, SWS, YS, KLT), pp. 63–74.
DATE-2009-LangenJ- Limiting the number of dirty cache lines (PJdL, BHHJ), pp. 670–675.
WCRE-2003-Al-GahmiJCD #corba- Supporting Quick and Dirty CORBA Introspection and Manipulation (AAG, CJ, JEC, BD), pp. 228–237.
ICSE-2000-Dawson- Twenty dirty tricks to train software engineers (RD), pp. 209–218.
ICALP-1976-GillS #metric #turing machine- Ink, Dirty-Tape Turing Machines, and Quasicomplexity Measures (JG, IS), pp. 285–306.
