8 papers:
CHI-2015-Clarke #design- The Work of Mad Men that Makes the Methods of Math Men Work: Practically Occasioned Segment Design (MFC), pp. 3275–3284.
ICML-2015-YenLZRD #approach #modelling #process- A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models (IEHY, XL, KZ, PKR, ISD), pp. 2418–2426.
- CHI-2013-PaceTGPBB
- A tribute to Mad skill: expert amateur visuality and world of Warcraft Machinima (TP, AT, SG, TP, JB, SB), pp. 2019–2028.
- ICML-c3-2013-BroderickKJ #named
- MAD-Bayes: MAP-based Asymptotic Derivations from Bayes (TB, BK, MIJ), pp. 226–234.
VLDB-2012-HellersteinRSWFGNWFLK #library #sql- The MADlib Analytics Library or MAD Skills, the SQL (JMH, CR, FS, DZW, EF, AG, KSN, CW, XF, KL, AK), pp. 1700–1711.
- VLDB-2009-CohenDDHW #analysis #big data
- MAD Skills: New Analysis Practices for Big Data (JC, BD, MD, JMH, CW), pp. 1481–1492.
- CHI-2003-AokiRSTWW #mobile #multi #social
- The mad hatter’s cocktail party: a social mobile audio space supporting multiple simultaneous conversations (PMA, MR, MHS, JDT, DW, AW), pp. 425–432.
SHARE-1966-Lerman #named- MADS — a machine aided drafting system (HNL).
