BibSLEIGH
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Used together with:
model (10)
base (7)
analysi (6)
process (5)
use (5)

Stem deviat$ (all stems)

33 papers:

CASECASE-2015-LuanH #3d #geometry #modelling #predict
Predictive modeling of in-plane geometric deviation for 3D printed freeform products (HL, QH), pp. 912–917.
SCAMSCAM-2015-PintoKT #analysis #automation #multi #performance
Automating the performance deviation analysis for multiple system releases: An evolutionary study (FP, UK, CT), pp. 201–210.
CASECASE-2014-HuangNXCSD #3d #approach #geometry #modelling #predict
Predictive modeling of geometric deviations of 3D printed products — A unified modeling approach for cylindrical and polygon shapes (QH, HN, KX, YC, SS, TD), pp. 25–30.
CASECASE-2014-SongWHT #modelling #process
Shape deviation modeling for fused deposition modeling processes (SS, AW, QH, FT), pp. 758–763.
HCIHIMI-DE-2014-NazemiRKK #adaptation #analysis #similarity #visualisation
User Similarity and Deviation Analysis for Adaptive Visualizations (KN, WR, JK, AK), pp. 64–75.
CIKMCIKM-2014-ZhengMB #recommendation
Deviation-Based Contextual SLIM Recommenders (YZ, BM, RDB), pp. 271–280.
ICMLICML-c2-2014-WangWY #reduction #scalability
Scaling SVM and Least Absolute Deviations via Exact Data Reduction (JW, PW, JY), pp. 523–531.
RecSysRecSys-2014-Zheng #algorithm #recommendation #similarity
Deviation-based and similarity-based contextual SLIM recommendation algorithms (YZ), pp. 437–440.
CASECASE-2013-LiJJ #algorithm #heuristic
A heuristic algorithm for minimizing total absolute deviation from distinct due dates on a single machine (YL, ZJ, WJ), pp. 392–397.
ICSEICSE-2013-MalikHH #automation #detection #performance #scalability #testing
Automatic detection of performance deviations in the load testing of large scale systems (HM, HH, AEH), pp. 1012–1021.
ICPRICPR-2012-KhanT #learning #taxonomy
Stable discriminative dictionary learning via discriminative deviation (NK, MFT), pp. 3224–3227.
ASEASE-2011-SilvaBB #execution #process
Deviation management during process execution (MAAdS, XB, RB), pp. 528–531.
ICSMEICSM-2011-SyerAH #concurrent #identification #performance #thread
Identifying performance deviations in thread pools (MDS, BA, AEH), pp. 83–92.
WCREWCRE-2011-ZhuWPXZ #composition #evolution #monitoring #quality #roadmap
Monitoring Software Quality Evolution by Analyzing Deviation Trends of Modularity Views (TZ, YW, XP, ZX, WZ), pp. 229–238.
CHICHI-2011-WobbrockSJ #design #empirical #metric #modelling #throughput
The effects of task dimensionality, endpoint deviation, throughput calculation, and experiment design on pointing measures and models (JOW, KS, AJ), pp. 1639–1648.
SIGIRSIGIR-2011-CumminsJO #performance #predict #query #standard #using
Improved query performance prediction using standard deviation (RC, JMJ, CO), pp. 1089–1090.
ICPRICPR-2010-ChoudhuryM #standard #using
Color Constancy Using Standard Deviation of Color Channels (AC, GGM), pp. 1722–1726.
MODELSMoDELS-v2-2010-SilvaBBG #detection #modelling #process
Early Deviation Detection in Modeling Activities of MDE Processes (MAAdS, RB, XB, MPG), pp. 303–317.
CHICHI-2009-WobbrockFLKH
The angle mouse: target-agnostic dynamic gain adjustment based on angular deviation (JOW, JF, SY(L, SK, SH), pp. 1401–1410.
DATEDATE-2006-WangCG #fault #formal method #probability #testing #using
Test set enrichment using a probabilistic fault model and the theory of output deviations (ZW, KC, MG), pp. 1270–1275.
ICPRICPR-v2-2006-junling #distance #metric #multi #recognition #standard
Multi-order Standard Deviation Based Distance Metrics and its Application in Handwritten Chinese Character Recognition (Rj), pp. 1114–1117.
ICPRICPR-v4-2006-ShibuyaU #image #mobile #self #standard #using
Self-Localization of a Mobile Robot Using Compressed Image Data of Average and Standard Deviation (NS, KU), pp. 614–617.
KDDKDD-2006-LauwLW #bias #statistics
Bias and controversy: beyond the statistical deviation (HWL, EPL, KW), pp. 625–630.
ASEASE-2002-HeimdahlCW #analysis #model checking
Deviation Analysis Through Model Checking (MPEH, YC, MWW), pp. 37–46.
ICEISICEIS-2002-AllouiCO #logic #monitoring #process
Taming Process Deviations by Logic Based Monitoring (IA, SC, FO), pp. 716–724.
SATSAT-2002-MonassonC #algorithm #analysis #exponential #random #satisfiability #scalability
Restart method and exponential acceleration of random 3-SAT instances resolutions: A large deviation analysis of the Davis-Putnam-Loveland-Logemann algorithm (RM, SC), p. 11.
KDDKDD-2001-HotzGHNW #analysis #detection #industrial
REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive industry (EH, UG, WH, GN, MW), pp. 432–437.
ICSEICSE-1997-ReeseL #analysis
Software Deviation Analysis (JDR, NGL), pp. 250–260.
KDDKDD-1996-ArningAR #database #detection #linear #scalability
A Linear Method for Deviation Detection in Large Databases (AA, RA, PR), pp. 164–169.
ICSEICSE-1995-CugolaNGM #how #process
How to Deal With Deviations During Process Model Enactment (GC, EDN, CG, MM), pp. 265–273.
KDDKDD-1994-Piatetsky-ShapiroM
The Interingness of Deviations (GPS, CJM), pp. 25–36.
HCIHCI-ACS-1993-Friedrich #development
Production Deviations: Opportunities for User-Based Technological Development (PF), pp. 815–820.
ICSEICSE-1987-MiyazakiM #metric #using
Software Metrics Using Deviation Value (YM, NM), pp. 83–95.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.