Stem seed$ (all stems)

58 papers:

HT-2015-SongFGWCZ #graph #microblog #word

Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph (KS, SF, WG, DW, LC, CZ), pp. 283–292.

VLDB-2015-KazemiHG #graph

Growing a Graph Matching from a Handful of Seeds (EK, SHH, MG), pp. 1010–1021.

HIMI-IKD-2015-EldesoukyMSD #interface #knowledge base #natural language

Seed, a Natural Language Interface to Knowledge Bases (BE, HM, SS, AD), pp. 280–290.

SAC-2015-MochalovaN #multi

Multi-stage seed selection for viral marketing (AM, AN), pp. 1181–1183.

ITiCSE-2014-SouzaSLS #research

Cultural appropriation of computational thinking acquisition research: seeding fields of diversity (CSdS, LCdCS, CFL, MMS), pp. 117–122.

STOC-2014-ArtemenkoS #generative #pseudo

Pseudorandom generators with optimal seed length for non-boolean poly-size circuits (SA, RS), pp. 99–108.

AFL-2014-Brinda

Languages of lossless seeds (KB), pp. 139–150.

SCSM-2014-Kanawati #community #detection #network

Seed-Centric Approaches for Community Detection in Complex Networks (RK), pp. 197–208.

KDD-2014-KloumannK #community #identification #set

Community membership identification from small seed sets (IMK, JMK), pp. 1366–1375.

KDD-2014-ZhangCSWZ #network #probability #set #social

Minimizing seed set selection with probabilistic coverage guarantee in a social network (PZ, WC, XS, YW, JZ), pp. 1306–1315.

SAC-2014-SantannaSB #automation #image #retrieval #towards

Content-based image retrieval towards the automatic characterization of soybean seed vigor (MGFS, PTMS, PHB), pp. 964–969.

ICSE-2014-ManotasPC #energy #framework #named

SEEDS: a software engineer’s energy-optimization decision support framework (ILMG, LLP, JC), pp. 503–514.

DATE-2013-BakshiH #reduction #smt #using

LFSR seed computation and reduction using SMT-based fault-chaining (DB, MSH), pp. 1071–1076.

ICEIS-v2-2013-HollingsworthP #student

Seeding the Cloud with Students from Every Computer Science Undergraduate Program (JKH, DJP), pp. 513–518.

KDD-2013-BaiJS #automation #generative #set

Exploiting user clicks for automatic seed set generation for entity matching (XB, FPJ, SHS), pp. 980–988.

CSCW-2012-SolomonW #community #wiki

Bootstrapping wikis: developing critical mass in a fledgling community by seeding content (JS, RW), pp. 261–264.

CIKM-2012-HaiCC #mining

One seed to find them all: mining opinion features via association (ZH, KC, GC), pp. 255–264.

CIKM-2012-JuLSZHL #classification #documentation #sentiment #word

Dual word and document seed selection for semi-supervised sentiment classification (SJ, SL, YS, GZ, YH, XL), pp. 2295–2298.

ICPR-2012-GaoY #automation #segmentation

Saliency-seeded localizing region-based active contour for automatic natural object segmentation (SG, JY), pp. 3644–3647.

ICPR-2012-MalmbergSNK #segmentation

Seeded segmentation based on object homogeneity (FM, RS, RN, JK), pp. 21–24.

KDD-2012-GleichS #community

Vertex neighborhoods, low conductance cuts, and good seeds for local community methods (DFG, CS), pp. 597–605.

RecSys-2012-LiuXCGXBZ #recommendation

Influential seed items recommendation (QL, BX, EC, YG, HX, TB, YZ), pp. 245–248.

SEKE-2012-XiePDMRTR #categorisation #clustering #grid #power management

Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid (BX, RJP, HD, JYM, AR, AT, CR), pp. 100–105.

TOOLS-EUROPE-2012-OlszakBJV #detection #quantifier

Detection of Seed Methods for Quantification of Feature Confinement (AO, EB, BNJ, JV), pp. 252–268.

SAC-2012-HuMB #clustering #documentation

Semi-supervised document clustering with dual supervision through seeding (YH, EEM, JB), pp. 144–151.

ICST-2012-FraserA #search-based #testing

The Seed is Strong: Seeding Strategies in Search-Based Software Testing (GF, AA), pp. 121–130.

SIGIR-2011-ElsweilerLTF #evaluation #query

Seeding simulated queries with user-study data forpersonal search evaluation (DE, DEL, JCT, RTF), pp. 25–34.

ICST-2011-HeamN #data type #generative #named #random #recursion #testing

Seed: An Easy-to-Use Random Generator of Recursive Data Structures for Testing (PCH, CN), pp. 60–69.

KEOD-2010-EynardMM #analysis #on the #ontology

On the Use of Correspondence Analysis to Learn Seed Ontologies from Text (DE, FM, MM), pp. 430–437.

DATE-2009-KoutsoupiaKKN #self #testing

LFSR-based test-data compression with self-stoppable seeds (MK, EK, XK, DN), pp. 1482–1487.

DATE-2009-YilmazC #detection #fault

Seed selection in LFSR-reseeding-based test compression for the detection of small-delay defects (MY, KC), pp. 1488–1493.

STOC-2009-Ta-Shma #quantum

Short seed extractors against quantum storage (ATS), pp. 401–408.

CIKM-2009-VyasPC #editing #set

Helping editors choose better seed sets for entity set expansion (VV, PP, EC), pp. 225–234.

CIKM-2009-ZhengDG #crawling #graph

Graph-based seed selection for web-scale crawlers (SZ, PD, CLG), pp. 1967–1970.

HT-2008-LeeBG #community #ranking #similarity #using

Extracting and ranking viral communities using seeds and content similarity (HCL, AB, LG), pp. 139–148.

CSEET-2008-JanzenR #re-engineering

Seeds of Evidence: Integrating Evidence-Based Software Engineering (DSJ, JR), pp. 223–230.

ICPR-2008-ShanCW #algorithm #automation #image #novel

A novel automatic seed point selection algorithm for breast ultrasound images (JS, HDC, YW), pp. 1–4.

KDD-2008-Christen #automation #classification #nearest neighbour #using

Automatic record linkage using seeded nearest neighbour and support vector machine classification (PC), pp. 151–159.

HT-2007-Lunn #image

Image seeds: a communal picture-based narrative (DL), pp. 141–142.

CIAA-2007-KucherovNR #automaton #set

Subset Seed Automaton (GK, LN, MAR), pp. 180–191.

CIKM-2007-SarmentoJRO #quote

“More like these”: growing entity classes from seeds (LS, VJ, MdR, EO), pp. 959–962.

TACAS-2006-GuptaJ #comparison #control flow #effectiveness #fault #testing

An Experimental Comparison of the Effectiveness of Control Flow Based Testing Approaches on Seeded Faults (AG, PJ), pp. 365–378.

ICPR-v2-2006-AhnKB #estimation #graph #robust #segmentation #using

Robust Object Segmentation Using Graph Cut with Object and Background Seed Estimation (JHA, KCK, HB), pp. 361–364.

SAC-2006-SinghXMH #geometry #linear #locality #problem #programming #using

Solving the brachytherapy seed localization problem using geometric and linear programming techniques (VS, LM, JX, KRH), pp. 229–234.

AMOST-J-2005-BryceC06 #constraints #interactive #testing

Prioritized interaction testing for pair-wise coverage with seeding and constraints (RCB, CJC), pp. 960–970.

STOC-2005-Raz #random

Extractors with weak random seeds (RR), pp. 11–20.

ICALP-2005-Farach-ColtonLST #approximate #performance #string

Optimal Spaced Seeds for Faster Approximate String Matching (MFC, GML, SCS, DT), pp. 1251–1262.

ICPR-v2-2004-PanN #detection #multi #novel

Novel Seed Selection for Multiple Objects Detection and Tracking (ZP, CWN), pp. 744–747.

DAC-2003-Al-YamaniM #automaton #encoding

Seed encoding with LFSRs and cellular automata (AAAY, EJM), pp. 560–565.

DAC-2003-RaoBO

Test application time and volume compression through seed overlapping (WR, IB, AO), pp. 732–737.

ICML-2002-BasuBM #clustering

Semi-supervised Clustering by Seeding (SB, AB, RJM), pp. 27–34.

STOC-2000-ImpagliazzoSW #generative #pseudo

Extractors and pseudo-random generators with optimal seed length (RI, RS, AW), pp. 1–10.

ICPR-v4-2000-Nakano00a #recognition

Needs and Seeds in Character Recognition (YN), pp. 4140–4146.

KDD-2000-DeCosteW

Alpha seeding for support vector machines (DD, KW), pp. 345–349.

SIGMOD-1994-LoR #using

Spatial Joins Using Seeded Trees (MLL, CVR), pp. 209–220.

CHI-1994-FischerMORS94a #design #development #incremental

Seeding, evolutionary growth and reseeding: supporting the incremental development of design environments (GF, RM, JLO, BR, FMSI), pp. 292–298.

SAC-1994-Julstrom #algorithm #performance #problem #search-based

Seeding the population: improved performance in a genetic algorithm for the rectilinear Steiner problem (BAJ), pp. 222–226.

ICSE-1985-KnightA #evaluation #fault

An Experimental Evaluation of Simple Methods for Seeding Program Errors (JCK, PA), pp. 337–342.