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Stem major$ (all stems)

82 papers:

CSEETCSEET-2015-Bagert #challenge
The Continuing Challenge of Delivering SE Content to CS Majors (DJB), p. 1.
MSRMSR-2015-SlagWB #stack overflow #why
One-Day Flies on StackOverflow — Why the Vast Majority of StackOverflow Users Only Posts Once (RS, MdW, AB), pp. 458–461.
DACDAC-2014-AmaruGM #algorithm #graph #logic #novel #optimisation #performance
Majority-Inverter Graph: A Novel Data-Structure and Algorithms for Efficient Logic Optimization (LGA, PEG, GDM), p. 6.
SIGMODSIGMOD-2014-HuaiCGHHOPYL0
Major technical advancements in apache hive (YH, AC, AG, GH, ENH, OO, JP, YY, RL, XZ), pp. 1235–1246.
ICALPICALP-v1-2014-MertziosNRS #interactive #memory management #network
Determining Majority in Networks with Local Interactions and Very Small Local Memory (GBM, SEN, CR, PGS), pp. 871–882.
HCIHIMI-AS-2014-YamamotoINTOW #development
From the Perspective of Service Engineering, The Development of Support Systems for Residents Affected by the Major Earthquake Disaster (SY, KI, NN, YT, KO, KW), pp. 359–370.
HCIHIMI-DE-2014-SugayaNT #clustering #recognition #using
Enhancement of Accuracy of Hand Shape Recognition Using Color Calibration by Clustering Scheme and Majority Voting Method (TS, HN, HT), pp. 251–260.
HCILCT-TRE-2014-AlmazovaK #approach #student
Computer Assisted Individual Approach to Acquiring Foreign Vocabulary of Students Major (NA, MK), pp. 248–257.
CAiSECAiSE-2014-SimouKKG #challenge #forensics #identification
Cloud Forensics: Identifying the Major Issues and Challenges (SS, CK, EK, SG), pp. 271–284.
ICPRICPR-2014-Nilsson #polynomial #using
Elastic Net Regularized Logistic Regression Using Cubic Majorization (MN), pp. 3446–3451.
SPLCSPLC-2014-GreggSLC #aspect-oriented #lessons learnt #multi #product line
Lessons from AEGIS: organizational and governance aspects of a major product line in a multi-program environment (SPG, RS, EL, PC), pp. 264–273.
ISSTAISSTA-2014-Just #analysis #framework #java #mutation testing #performance #scalability
The major mutation framework: efficient and scalable mutation analysis for Java (RJ), pp. 433–436.
DACDAC-2013-AmaruGM #composition #logic #named #synthesis
BDS-MAJ: a BDD-based logic synthesis tool exploiting majority logic decomposition (LGA, PEG, GDM), p. 6.
ITiCSEITiCSE-2013-Honig #education #programming #visual notation
Teaching and assessing programming fundamentals for non majors with visual programming (WLH), pp. 40–45.
STOCSTOC-2013-DeMN
Majority is stablest: discrete and SoS (AD, EM, JN), pp. 477–486.
ICALPICALP-v1-2013-Leonardos #bound #complexity #random #recursion
An Improved Lower Bound for the Randomized Decision Tree Complexity of Recursive Majority, (NL), pp. 696–708.
CSCWCSCW-2013-ChoudhuryCH #behaviour #social #social media
Major life changes and behavioral markers in social media: case of childbirth (MDC, SC, EH), pp. 1431–1442.
HCIHIMI-LCCB-2013-KangL #performance #student
The Display Medium, Academic Major and Sex Effect of High School Students on Visuospatial Abilities Test Performance (YYK, YHL), pp. 70–78.
ICEISICEIS-v1-2013-SmirnovKTS #architecture #component
Virtual Tourist Hub for Infomobility — Service-Oriented Architecture and Major Components (AVS, AK, NT, NS), pp. 459–466.
ITiCSEITiCSE-2012-Aycock #named #programming
μPython: non-majors programming from the very first lecture (JA), pp. 345–350.
ICALPICALP-v2-2012-GellesOW #multi #proximity #similarity #testing
Multiparty Proximity Testing with Dishonest Majority from Equality Testing (RG, RO, KW), pp. 537–548.
ASEASE-2011-JustSK #analysis #compilation #java #mutation testing #named #performance
MAJOR: An efficient and extensible tool for mutation analysis in a Java compiler (RJ, FS, GMK), pp. 612–615.
CSEETCSEET-2011-EngM #assessment #communication #experience #learning #student
Continued assessment of students’ learning experience in an oral communication course at MIT for EECS majors (TLE, RM), pp. 439–443.
CSEETCSEET-2011-RizviHMLJ
A new CS0 course for at-risk majors (MER, TH, DM, HL, MJ), pp. 314–323.
STOCSTOC-2011-DingLP #metric
Cover times, blanket times, and majorizing measures (JD, JRL, YP), pp. 61–70.
ICALPICALP-v1-2011-DurocherHMNS #constant #linear
Range Majority in Constant Time and Linear Space (SD, MH, JIM, PKN, MS), pp. 244–255.
ICALPICALP-v1-2011-MagniezNSX #bound #complexity #random #recursion
Improved Bounds for the Randomized Decision Tree Complexity of Recursive Majority (FM, AN, MS, DX), pp. 317–329.
CSCWCSCW-2011-QuHZZ #case study #microblog
Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake (YQ, CH, PZ, JZ), pp. 25–34.
HCIIDGD-2011-KangLCW
Friendship Display Medium in Response to Academic Major Influences in Visuospatial Abilities (YYK, CLL, SHC, MJJW), pp. 166–176.
ICMLICML-2011-RoyLM #bound #polynomial #source code
From PAC-Bayes Bounds to Quadratic Programs for Majority Votes (JFR, FL, MM), pp. 649–656.
ITiCSEITiCSE-2010-SimonKPZ #case study #experience
Experience report: CS1 for majors with media computation (BS, PK, LP, DZ), pp. 214–218.
ICPRICPR-2010-LuoFC #recognition
A MANOVA of Major Factors of RIU-LBP Feature for Face Recognition (JL, YF, QC), pp. 1028–1031.
ICPRICPR-2010-WidhalmB #learning
Learning Major Pedestrian Flows in Crowded Scenes (PW, NB), pp. 4064–4067.
KRKR-2010-LiVK #approach #performance
An Efficient Majority-Rule-Based Approach for Collective Decision Making with CP-Nets (ML, QBV, RK).
ICSMEICSM-2009-VillazonBMA #aspect-oriented #development #flexibility #named #programming
MAJOR: Flexible tool development with aspect-oriented programming (AV, WB, PM, DA), pp. 387–388.
DLTDLT-2009-BehleKR #quantifier #regular expression
Regular Languages Definable by Majority Quantifiers with Two Variables (CB, AK, SR), pp. 91–102.
ICALPICALP-v1-2009-Amano #approximate #bound
Bounds on the Size of Small Depth Circuits for Approximating Majority (KA), pp. 59–70.
HCIHCI-NT-2009-TongZ #question
Are We Trapped by Majority Influences in Electronic Word-of-Mouth? (YT, YZ), pp. 520–529.
ICEISICEIS-DISI-2009-VinhasAM #realtime
Business Intelligence based on a Wi-Fi Real Time Positioning Engine — A Practical Application in a Major Retail Company (VV, PA, PM), pp. 11–16.
ICMLICML-2009-FooDN #algorithm #learning #multi
A majorization-minimization algorithm for (multiple) hyperparameter learning (CSF, CBD, AYN), pp. 321–328.
ITiCSEITiCSE-2008-Goelman #collaboration #database #learning
Databases, non-majors and collaborative learning: a ternary relationships (DG), pp. 27–31.
STOCSTOC-2008-ShaltielV #proving
Hardness amplification proofs require majority (RS, EV), pp. 589–598.
KRKR-2008-PiniRVW #nondeterminism
Dealing with Incomplete Agents’ Preferences and an Uncertain Agenda in Group Decision Making via Sequential Majority Voting (MSP, FR, KBV, TW), pp. 571–578.
ICDARICDAR-2007-MajumdarC #multi
Curvelet-Based Multi SVM Recognizer for Offline Handwritten Bangla: A Major Indian Script (AM, BBC), pp. 491–495.
STOCSTOC-2007-Sherstov
Separating AC0 from depth-2 majority circuits (AAS), pp. 294–301.
HCIOCSC-2007-ViorresXSVKD #challenge #development #human-computer #open source
Major HCI Challenges for Open Source Software Adoption and Development (NV, PX, MS, EV, PK, JD), pp. 455–464.
POPLPOPL-2007-AppelMRV #type system
A very modal model of a modern, major, general type system (AWA, PAM, CDR, JV), pp. 109–122.
MSRMSR-2006-KakimotoMKTTM #identification #using
Using software birthmarks to identify similar classes and major functionalities (TK, AM, YK, HT, MT, KiM), pp. 171–172.
ICPRICPR-v1-2006-StelldingerL #3d
3D Object Digitization: Majority Interpolation and Marching Cube (PS, LJL), pp. 71–74.
ICPRICPR-v2-2006-StelldingerL06a #3d
3D Object Digitization: Majority Interpolation and Marching Cubes (PS, LJL), pp. 1173–1176.
ICSEICSE-2006-WuWCZL #development
Overseas development for a major U.S. eCommerce website (JW, SW, CC, LZ, JL), pp. 632–635.
SIGIRSIGIR-2005-KuLWC #detection #summary #topic
Major topic detection and its application to opinion summarization (LWK, LYL, THW, HHC), pp. 627–628.
LICSLICS-2005-Dalmau
Generalized Majority-Minority Operations are Tractable (VD), pp. 438–447.
STOCSTOC-2004-Pass #bound #multi
Bounded-concurrent secure multi-party computation with a dishonest majority (RP), pp. 232–241.
ICEISICEIS-v2-2004-VeskiojaV #problem
Majority Voting in Stable Marriage Problem with Couples (TV, LV), pp. 442–447.
KRKR-2004-PacuitS #logic
Majority Logic (EP, SS), pp. 598–605.
ICDARICDAR-2003-BhattacharyaC #multi #recognition
A Majority Voting Scheme for Multiresolution Recognition of Handprinted Numerals (UB, BBC), pp. 16–20.
ITiCSEITiCSE-2003-Guzdial
A media computation course for non-majors (MG), pp. 104–108.
MLDMMLDM-2003-DehmeshkiKC #rule-based #set
A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set (JD, MK, MVC), pp. 215–223.
ICSEICSE-2003-Grimm #challenge
Software Technology in an Automotive Company — Major Challenges (KG), pp. 498–505.
ICPRICPR-v2-2002-StefanoCM #adaptation #classification #multi
An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers (CDS, ADC, AM), pp. 192–195.
KRKR-2002-KoniecznyP #on the
On the Frontier between Arbitration and Majority (SK, RPP), pp. 109–120.
ICALPICALP-2001-MustafaP
Majority Consensus and the Local Majority Rule (NHM, AP), pp. 530–542.
ICSMEICSM-1999-KloschE #case study #challenge #evolution #experience
Experience Paper: Challenges and Experiences in Managing Major Software Evolution Endeavours Such as Euro Conversion or Y2000 Compliance (RK, WE), pp. 161–166.
STOCSTOC-1999-SchulmanV #approximate #problem
Majorizing Estimators and the Approximation of #P-Complete Problems (LJS, VVV), pp. 288–294.
AdaSIGAda-1998-ChamillardLY #ada #using
Using Ada in Non-CS Majors (ATC, RJL, RRY), pp. 61–67.
ICMLICML-1998-NakamuraA #algorithm #collaboration #predict #using
Collaborative Filtering Using Weighted Majority Prediction Algorithms (AN, NA), pp. 395–403.
ICPRICPR-1998-GuoYM #analysis #game studies #multi #robust #segmentation #statistics
Unsupervised segmentation based on multi-resolution analysis, robust statistics and majority game theory (GG, SY, SM), pp. 799–801.
KDDKDD-1998-WuthrichPLCZL #predict
Daily Prediction of Major Stock Indices from Textual WWW Data (BW, DP, SL, VC, JZ, WL), pp. 364–368.
CSLCSL-1998-KorovinaK
Characteristic Properties of Majorant-Computability over the Reals (MVK, OVK), pp. 188–203.
AdaTRI-Ada-1997-ChamillardH #ada
Transitioning to Ada in an Introductory Course for Non-Majors (ATC, WCHJ), pp. 37–40.
AdaTRI-Ada-1997-SuchanS #ada #education #problem #using
Using Ada 95 as a Tool to Teach Problem Solving to Non-CS Majors (WKS, TLS), pp. 31–36.
ICMLICML-1997-KohaviK
Option Decision Trees with Majority Votes (RK, CK), pp. 161–169.
ICMLICML-1995-AbeLN #2d #algorithm #learning #online #using
On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms (NA, HL, AN), pp. 3–11.
ICMLICML-1995-Blum #algorithm #empirical #scheduling
Empirical Support for Winnow and Weighted-Majority Based Algorithms: Results on a Calendar Scheduling Domain (AB), pp. 64–72.
STOCSTOC-1993-GoldmannK #simulation
Simulating threshold circuits by majority circuits (MG, MK), pp. 551–560.
STOCSTOC-1992-Beigel
When Do Extra Majority Gates Help? Polylog(n) Majority Gates Are Equivalent to One (RB), pp. 450–454.
CADECADE-1992-LuskW #benchmark #metric #problem #similarity
Benchmark Problems in Which Equality Plays the Major Role (ELL, LW), pp. 781–785.
CSEETSEI-1990-ReedD #embedded #re-engineering
An Undergraduate Software Engineering Major Embedded in a Computer Systems Engineering Degree (KR, TSD), pp. 49–66.
STOCSTOC-1989-RabinB #multi #protocol
Verifiable Secret Sharing and Multiparty Protocols with Honest Majority (Extended Abstract) (TR, MBO), pp. 73–85.
STOCSTOC-1987-GoldreichMW #game studies #how #protocol #theorem
How to Play any Mental Game or A Completeness Theorem for Protocols with Honest Majority (OG, SM, AW), pp. 218–229.
HCIHCI-SES-1987-RuthG #predict
Examining the Silent Majority: A Current Perspective on Predictive Variables Associated with Managerial and Clerical ADP Users (SRR, EPG), pp. 311–318.

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.