Stem intens$ (all stems)

244 papers:

DATE-2015-HamdiouiXNTBCJC #architecture #data-driven #in memory

Memristor based computation-in-memory architecture for data-intensive applications (SH, LX, HADN, MT, KB, HC, HJ, FC, DW, LE, JvL), pp. 1718–1725.

DATE-2015-JiaoMD #reasoning #synthesis

Knowledge-intensive, causal reasoning for analog circuit topology synthesis in emergent and innovative applications (FJ, SM, AD), pp. 1144–1149.

DocEng-2015-SvendsenA #classification #documentation

Change Classification in Graphics-Intensive Digital Documents (JS, ABA), pp. 203–206.

SIGMOD-2015-NothaftMDZLYKAH #data-driven #scalability #using

Rethinking Data-Intensive Science Using Scalable Analytics Systems (FAN, MM, TD, ZZ, UL, CY, JK, AA, JH, ML, MJF, ADJ, DAP), pp. 631–646.

SIGMOD-2015-VulimiriCGJKPV #data-driven #named

WANalytics: Geo-Distributed Analytics for a Data Intensive World (AV, CC, PBG, TJ, KK, JP, GV), pp. 1087–1092.

FASE-2015-ShinBOBH #prototype #specification

Resource Specification for Prototyping Human-Intensive Systems (SYS, YB, LJO, HB, PLH), pp. 332–346.

SEKE-2015-LeeL #adaptation #framework #re-engineering #self #towards

Towards Knowledge-intensive Software Engineering Framework for Self-Adaptive Software (HCL, SWL), pp. 30–35.

SAC-2015-JoCKBO #algorithm #approach #collaboration #cpu #data-driven #on the

On running data-intensive algorithms with intelligent SSD and host CPU: a collaborative approach (YYJ, SC, SWK, DHB, HO), pp. 2060–2065.

SAC-2015-PaakkonenP

The implications of disk-based RAID and virtualization for write-intensive services (PP, DP), pp. 2288–2291.

ICSE-v2-2015-Cavalcante #architecture #development #on the

On the Architecture-Driven Development of Software-Intensive Systems-of-Systems (EC), pp. 899–902.

DAC-2014-ChenT #control flow #design

Reliability-aware Register Binding for Control-Flow Intensive Designs (LC, MBT), p. 6.

DATE-2014-SongLKSCR #energy #scheduling

Energy-efficient scheduling for memory-intensive GPGPU workloads (SS, ML, JK, WS, YGC, SR), pp. 1–6.

CSEET-2014-AkpolatS #gamification #programming #re-engineering #student #using

Enhancing software engineering student team engagement in a high-intensity extreme programming course using gamification (BSA, WS), pp. 149–153.

CSEET-2014-YamadaIWKFYOKT #development #education #effectiveness #learning

The impacts of personal characteristic on educational effectiveness in controlled-project based learning on software intensive systems development (YY, SI, HW, KK, YF, SY, MO, TK, MT), pp. 119–128.

CSMR-WCRE-2014-GoeminneDM #co-evolution #data-driven

Co-evolving code-related and database-related changes in a data-intensive software system (MG, AD, TM), pp. 353–357.

CHI-2014-SilpasuwanchaiR #exclamation #gesture

Jump and shoot!: prioritizing primary and alternative body gestures for intense gameplay (CS, XR), pp. 951–954.

ICEIS-v1-2014-FaheemK #algorithm #architecture #case study #framework #multi #problem

A Multiagent-based Framework for Solving Computationally Intensive Problems on Heterogeneous Architectures — Bioinformatics Algorithms as a Case Study (HMF, BKR), pp. 526–533.

ICEIS-v2-2014-MeloS #design #modelling #uml #using

Model-driven Structural Design of Software-intensive Systems Using SysML Blocks and UML Classes (MdSM, MSS), pp. 193–200.

ICEIS-v3-2014-DinhVM #framework #information management

A Knowledge Management Framework for Knowledge-Intensive SMEs (TLD, THV, ÉM), pp. 435–440.

ICML-c1-2014-MillerBAG #analysis #process

Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball (AM, LB, RPA, KG), pp. 235–243.

ICPR-2014-MavadatiM #automation #metric #modelling

Temporal Facial Expression Modeling for Automated Action Unit Intensity Measurement (SMM, MHM), pp. 4648–4653.

ICPR-2014-ZafarK #evaluation

Pain Intensity Evaluation through Facial Action Units (ZZ, NAK), pp. 4696–4701.

KDD-2014-GhassemiNDBJRS #modelling

Unfolding physiological state: mortality modelling in intensive care units (MG, TN, FDV, NB, RJ, AR, PS), pp. 75–84.

KMIS-2014-VelosoPSSRA0 #data mining #mining #modelling #predict #realtime

Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units (RV, FP, MFS, ÁMS, FR, AA, JM), pp. 245–254.

ICSE-2014-GhezziPST #behaviour #mining #modelling #web

Mining behavior models from user-intensive web applications (CG, MP, MS, GT), pp. 277–287.

SPLC-2014-SimidchievaO #composition #generative #product line #verification

Generation, composition, and verification of families of human-intensive systems (BIS, LJO), pp. 207–216.

OSDI-2014-YuanLZRZZJS #analysis #data-driven #distributed #testing

Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-Intensive Systems (DY, YL, XZ, GRR, XZ, YZ, PJ, MS), pp. 249–265.

DAC-2013-LinLM #analysis #hybrid #kernel #reachability #verification

Verification of digitally-intensive analog circuits via kernel ridge regression and hybrid reachability analysis (HL, PL, CJM), p. 6.

DATE-2013-BertaccoCBFVKP #on the

On the use of GP-GPUs for accelerating compute-intensive EDA applications (VB, DC, NB, FF, SV, AMK, HDP), pp. 1357–1366.

DATE-2013-HanCL #compilation

Compiling control-intensive loops for CGRAs with state-based full predication (KH, KC, JL), pp. 1579–1582.

CSEET-2013-InagaWYKFYOKTK #development #education #effectiveness

Team characteristics for maximizing the educational effectiveness of practical lectures on software intensive systems development (SI, HW, YY, KK, YF, SY, MO, TK, MT, TK), pp. 264–268.

CSEET-2013-StettinaZBK #education #re-engineering #towards

Academic education of software engineering practices: towards planning and improving capstone courses based upon intensive coaching and team routines (CJS, ZZ, TB, BRK), pp. 169–178.

CSMR-2013-Nagy #data-driven #static analysis

Static Analysis of Data-Intensive Applications (CN), pp. 435–438.

CSMR-2013-ScannielloECG #gpu #using

Using the GPU to Green an Intensive and Massive Computation System (GS, UE, GC, CG), pp. 384–387.

MSR-2013-Gala-PerezRGH #case study #evolution #metric #open source

Intensive metrics for the study of the evolution of open source projects: case studies from apache software foundation projects (SGP, GR, JMGB, IH), pp. 159–168.

CHI-2013-WangESM #chat #comparative #evaluation #interface #multi

A comparative evaluation of multiple chat stream interfaces for information-intensive environments (YW, AE, MS, GM), pp. 2717–2720.

HCI-UC-2013-ParkG #case study #data-driven

An Exploratory Study to Understand Knowledge-Sharing in Data-Intensive Science (JP, JLG), pp. 217–226.

CAiSE-2013-SenG #case study #data-driven #interactive #testing

Testing a Data-Intensive System with Generated Data Interactions — The Norwegian Customs and Excise Case Study (SS, AG), pp. 657–671.

ICEIS-v1-2013-AguiarPSMASRP #information management #pervasive

Pervasive Information Systems to Intensive Care Medicine — Technology Acceptance Model (JA, FP, MFS, JM, AA, ÁMS, FR, FP), pp. 177–184.

KDIR-KMIS-2013-Ibarra-SanchezPO #analysis #case study #risk management #using

Hospital Risk Management using Healthcare Failure Mode and Effects Analysis — A Case Study on Ventilators Whithin an Intensive Care Unit (MAIS, ABPA, MROP), pp. 328–335.

KDIR-KMIS-2013-Karacapilidis #collaboration #data-driven

Mastering Data-Intensive Collaboration and Decision Making (NIK), pp. 1–11.

SAC-2013-FanYZ #architecture #framework #modelling #scalability

A generic framework for deriving architecture modeling methods for large-scale software-intensive systems (ZF, TY, LZ), pp. 1750–1757.

SAC-2013-GrootGYNK #data-driven #distributed #modelling

Modeling I/O interference for data intensive distributed applications (SG, KG, DY, MN, MK), pp. 343–350.

SAC-2013-TheodouliG #adaptation #data-driven #query #web #web service

Adaptive memory-aware chunk sizing techniques for data-intensive queries over web services (AT, AG), pp. 826–831.

SAC-2013-ZagareseCZAPB #data-driven #interactive #performance

Efficient data-intensive event-driven interaction in SOA (QZ, GC, EZ, IA, LP, FB), pp. 1907–1912.

ICSE-2013-BartensteinL #data-driven

Green streams for data-intensive software (TB, YDL), pp. 532–541.

ICSE-2013-Dagnino

Estimating software-intensive projects in the absence of historical data (AD), pp. 941–950.

ICSE-2013-HeymansLC #assurance #performance #quality #variability

Efficient quality assurance of variability-intensive systems (PH, AL, MC), pp. 1496–1498.

PLEASE-2013-PatelGS #feature model #interactive #testing #variability

Feature interaction testing of variability intensive systems (SP, PG, VS), pp. 53–56.

HPCA-2013-GilaniKS #power management

Power-efficient computing for compute-intensive GPGPU applications (SZG, NSK, MJS), pp. 330–341.

CASE-2012-KimMBS #image

An improved rigidity penalty for deformable registration of head and neck images in intensity-modulated radiation therapy (JK, MM, JB, KS), pp. 377–382.

DAC-2012-ChouHC #design

Structure-aware placement for datapath-intensive circuit designs (SC, MKH, YWC), pp. 762–767.

DATE-2012-RofoueiGPM #energy #optimisation

Optimization intensive energy harvesting (MR, MAG, MP, AMN), pp. 272–275.

SIGMOD-2012-KanneE #data-driven #declarative #fault #robust

Declarative error management for robust data-intensive applications (CCK, VE), pp. 205–216.

ITiCSE-2012-Radenski #clustering #data-driven #in the cloud #multi

Integrating data-intensive cloud computing with multicores and clusters in an HPC course (AR), pp. 69–74.

CSMR-2012-KovacsD #data-driven #visual notation

Visual Modeler for Data Intensive Tasks (FK, ZD), pp. 509–512.

ICSM-2012-DuseauDS #approach #named #visual notation

Vasco: A visual approach to explore object churn in framework-intensive applications (FD, BD, HAS), pp. 15–24.

ICPR-2012-DhallG #estimation #process

Group expression intensity estimation in videos via Gaussian Processes (AD, RG), pp. 3525–3528.

ICPR-2012-InoueSK #representation #using

Local intensity compensation using sparse representation (KI, HS, YK), pp. 951–954.

ICPR-2012-LinC #image

Stereo matching on low intensity quantization images (HYL, XHC), pp. 2618–2621.

KEOD-2012-LiangCI #approach #development #using

A Product Development System using Knowledge-intensive Support Approach (JSL, KMC, PI), pp. 25–33.

KMIS-2012-PortelaPS #data mining #mining #modelling #pervasive #predict

Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine (FP, FP, MFS), pp. 81–88.

ICSE-2012-Monteiro #algorithm #effectiveness #named #parallel

HARPPIE: Hyper algorithmic recipe for productive parallelism intensive endeavors (PM), pp. 1559–1562.

ASPLOS-2012-SimhaLC

An update-aware storage system for low-locality update-intensive workloads (DNS, ML, TcC), pp. 375–386.

HPDC-2012-KutluAK #algorithm #data-driven #fault tolerance #parallel

Fault tolerant parallel data-intensive algorithms (MK, GA, OK), pp. 133–134.

HPDC-2012-NicolaeC #hybrid #migration

A hybrid local storage transfer scheme for live migration of I/O intensive workloads (BN, FC), pp. 85–96.

CHI-2011-MarshallB #case study #experience #interactive #performance #using

Using fast interaction to create intense experiences (JM, SB), pp. 1255–1264.

AdaEurope-2011-JohnsenL

Developing Dependable Software-Intensive Systems: AADL vs. EAST-ADL (AJ, KL), pp. 103–117.

EDOC-2011-VaculinHHCNS #declarative #modelling #process

Declarative business artifact centric modeling of decision and knowledge intensive business processes (RV, RH, TH, CC, AN, PS), pp. 151–160.

ICEIS-v1-2011-SantosP #data mining #mining #preprocessor #ubiquitous

Enabling Ubiquitous Data Mining in Intensive Care — Features Selection and Data Pre-processing (MS, FP), pp. 261–266.

ICEIS-v3-2011-ChenWK #community #development #empirical #framework #information management

Development of an Empirical Knowledge Management Framework for Professional Virtual Community in Knowledge-intensive Service Industries (YJC, MSW, WKK), pp. 5–14.

KDD-2011-SinkovitsCSTRWB #analysis #data-driven #performance

Data intensive analysis on the gordon high performance data and compute system (RSS, PC, SS, MT, PR, NW, NB), pp. 747–748.

KMIS-2011-PortelaGSSRMAN #information management #pervasive #realtime

Knowledge Discovery for Pervasive and Real-time Intelligent Decision Support in Intensive Care Medicine (FP, PG, MFS, ÁMS, FR, JM, AA, JN), pp. 241–249.

BX-2011-Hainaut #approach #data-driven #evolution

The transformational approach to data-intensive system engineering and evolution (JLH), p. 51.

SAC-2011-GrootGK #data-driven #distributed #towards

Towards improved load balancing for data intensive distributed computing (SG, KG, MK), pp. 139–146.

HPDC-2011-HudsonNRWJP #case study #data-driven #experience #simulation #using

Experiences using smaash to manage data-intensive simulations (RH, JN, LBR, KW, GCJI, MEP), pp. 205–216.

SIGMOD-2010-CieslewiczRSY #automation #data-driven #detection

Automatic contention detection and amelioration for data-intensive operations (JC, KAR, KS, YY), pp. 483–494.

CSMR-2010-NagyPGB #dependence #towards

Towards a Safe Method for Computing Dependencies in Database-Intensive Systems (CN, JP, TG, ÁB), pp. 166–175.

ICSM-2010-Cleve #data-driven #evolution #program analysis #program transformation

Program analysis and transformation for data-intensive system evolution (AC), pp. 1–6.

CHI-2010-WilcoxLLFJ

Physician-driven management of patient progress notes in an intensive care unit (LW, JL, JCL, SF, DAJ), pp. 1879–1888.

ICEIS-AIDSS-2010-Vilas-BoasSPSR #data mining #mining #predict

Hourly Prediction of Organ Failure and Outcome in Intensive Care based on Data Mining Techniques (MVB, MFS, FP, ÁMS, FR), pp. 270–277.

ICPR-2010-Kita #modelling

Background Modeling by Combining Joint Intensity Histogram with Time-sequential Data (YK), pp. 991–994.

ICPR-2010-Ramirez-OrtegonR #documentation #evaluation

Unsupervised Evaluation Methods Based on Local Gray-Intensity Variances for Binarization of Historical Documents (MARO, RR), pp. 2029–2032.

ICPR-2010-SelbySWGS

The Effects of Radiometry on the Accuracy of Intensity Based Registration (BPS, GS, SW, WDG, US), pp. 4528–4531.

ICPR-2010-StorerUB #image

Intensity-Based Congealing for Unsupervised Joint Image Alignment (MS, MU, HB), pp. 1473–1476.

KMIS-2010-PortelaSVRSN #realtime

Real-time Intelligent Decision Support in Intensive Medicine (FP, MS, MVB, FR, ÁMS, JN), pp. 44–50.

SAC-2010-MalkowskiJHPKP #analysis #benchmark #database #empirical #metric #scalability #using

Empirical analysis of database server scalability using an N-tier benchmark with read-intensive workload (SM, DJ, MH, JP, YK, CP), pp. 1680–1687.

SAC-2010-Rooney #scheduling

Scheduling intense applications most “surprising” first (SR), pp. 2077–2084.

ICSE-2010-Brondum #architecture #concept #detection

Software architecture for systems of software intensive systems (S3): the concepts and detection of inter-system relationships (JB), pp. 355–356.

ICSE-2010-Firesmith #requirements #summary #tutorial

Engineering safety- and security-related requirements for software-intensive systems: tutorial summary (DGF), pp. 489–490.

HPDC-2010-BuiBFT #data-driven #named #repository #scalability

ROARS: a scalable repository for data intensive scientific computing (HB, PB, PJF, DT), pp. 766–775.

HPDC-2010-CarmichaelBTE #collaboration #data-driven #named #towards

Biocompute: towards a collaborative workspace for data intensive bio-science (RC, PBH, DT, SJE), pp. 489–498.

HPDC-2010-DunTY #data-driven #fine-grained #named #profiling #workflow

ParaTrac: a fine-grained profiler for data-intensive workflows (ND, KT, AY), pp. 37–48.

HPDC-2010-FuRLFG #clustering #data-driven #named #scalability

DiscFinder: a data-intensive scalable cluster finder for astrophysics (BF, KR, JL, EF, GAG), pp. 348–351.

HPDC-2010-ShibataCT #data access #data-driven #distributed #workflow

File-access patterns of data-intensive workflow applications and their implications to distributed filesystems (TS, SC, KT), pp. 746–755.

HPDC-2010-TanakaT #data-driven #distributed #flexibility #named #parallel #workflow

Pwrake: a parallel and distributed flexible workflow management tool for wide-area data intensive computing (MT, OT), pp. 356–359.

CBSE-2009-GortonCWAC #component #data-driven #workflow

Services + Components = Data Intensive Scientific Workflow Applications with MeDICi (IG, JC, AW, JA, AC), pp. 227–241.

WICSA-ECSA-2009-AriasAA #execution #scalability

Defining execution viewpoints for a large and complex software-intensive system (TBCA, PA, PA), pp. 1–10.

WICSA-ECSA-2009-XuZSL #architecture #distributed

An architecting method for distributed process-intensive systems (XX, LZ, MS, YL), pp. 277–280.

ICDAR-2009-BlockSWR #documentation #multi

Multi-Exposure Document Fusion Based on Edge-Intensities (MB, MS, FW, RR), pp. 136–140.

SIGMOD-2009-SharafCLA #interactive #optimisation #transaction

Optimizing i/o-intensive transactions in highly interactive applications (MAS, PKC, AL, CA), pp. 785–798.

ICPC-2009-Rajlich #comprehension

Intensions are a key to program comprehension (VR), pp. 1–9.

WCRE-1999-AriasAA99a #resource management #scalability

Constructing a Resource Usage View of a Large and Complex Software-Intensive System (TBCA, PA, PA), pp. 247–255.

DHM-2009-ThomasDAS #evaluation #personalisation

Non-intrusive Personalized Mental Workload Evaluation for Exercise Intensity Measure (NLT, YD, TA, JHS), pp. 315–322.

ICEIS-HCI-2009-LukoschVH #adaptation #collaboration #process

Enabling Context-adaptive Collaboration for Knowledge-intense Processes (SL, DV, JMH), pp. 34–41.

ICML-2009-AdamsMM #parametricity #process

Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities (RPA, IM, DJCM), pp. 9–16.

KMIS-2009-HeinzeG #development #enterprise #maturity #process #quality

Quality Management in Knowledge Intensive Business Processes — Development of a Maturity Model to Measure the Quality of Knowledge Intensive Business Processes in Small and Medium Enterprises (PH, DG), pp. 276–279.

ASPLOS-2009-CaulfieldGS #clustering #data-driven #memory management #named #performance #power management #using

Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications (AMC, LMG, SS), pp. 217–228.

HPDC-2009-RaicuFZLMCT #data-driven #distributed #scalability

The quest for scalable support of data-intensive workloads in distributed systems (IR, ITF, YZ, PL, CM, AC, DT), pp. 207–216.

CBSE-2008-SentillesVBCC #component #distributed #embedded

A Component Model for Control-Intensive Distributed Embedded Systems (SS, AV, TB, JC, IC), pp. 310–317.

WICSA-2008-Gorton #architecture #challenge #data-driven

Software Architecture Challenges for Data Intensive Computing (IG), pp. 4–6.

WCRE-2008-AriasAA #dependence #execution #scalability

Analyzing the Actual Execution of a Large Software-Intensive System for Determining Dependencies (TBCA, PA, PA), pp. 49–58.

WCRE-2008-CleveH #data-driven #dynamic analysis #reverse engineering #sql

Dynamic Analysis of SQL Statements for Data-Intensive Applications Reverse Engineering (AC, JLH), pp. 192–196.

CSCW-2008-ChungH #distributed #network

Network structure, position, ties and ICT use in distributed knowledge-intensive work (KSKC, LH), pp. 545–554.

ICML-2008-CunninghamSS #estimation #performance #process

Fast Gaussian process methods for point process intensity estimation (JPC, KVS, MS), pp. 192–199.

ICPR-2008-AmatoMHGV

Background subtraction technique based on chromaticity and intensity patterns (AA, MM, IHC, JG, JV), pp. 1–4.

ICPR-2008-Kita #case study #detection #image #using

A study of change detection from satellite images using joint intensity histogram (YK), pp. 1–4.

ICPR-2008-LiuS08a #detection #robust #using

Robust outdoor text detection using text intensity and shape features (ZL, SS), pp. 1–4.

ICPR-2008-ZhengBT #comprehension #integration

Understanding vehicle motion via spatial integration of intensities (JYZ, YB, HTT), pp. 1–5.

FSE-2008-DufourRS #java #scalability

A scalable technique for characterizing the usage of temporaries in framework-intensive Java applications (BD, BGR, GS), pp. 59–70.

HPCA-2008-WellsS

Serializing instructions in system-intensive workloads: Amdahl’s Law strikes again (PMW, GSS), pp. 264–275.

HPDC-2008-NathUS #data-driven

Evaluating the usefulness of content addressable storage for high-performance data intensive applications (PN, BU, AS), pp. 35–44.

WICSA-2007-RossoM #approach #architecture #knowledge-based #scalability #using

Assessing the Architectonics of Large, Software-Intensive Systems Using a Knowledge-Based Approach (CDR, AM), p. 2.

DATE-2007-ArbeloKLLBSM #architecture #configuration management #kernel #video

Mapping control-intensive video kernels onto a coarse-grain reconfigurable architecture: the H.264/AVC deblocking filter (CA, AK, SL, JFL, MB, RS, JYM), pp. 177–182.

ICSM-2007-HenrardRCH #case study #data-driven #experience #industrial #legacy #migration

An Industrial Experience Report on Legacy Data-Intensive System Migration (JH, DR, AC, JLH), pp. 473–476.

HCI-AS-2007-SchremmerKVE #design #distributed #framework #research

Design Discussion of the [braccetto] Research Platform: Supporting Distributed Intensely Collaborating Creative Teams of Teams (CS, AKH, RV, JE), pp. 722–734.

CAiSE-2007-SedlmayrRGRMM #automation #standard

Automating Standard Operating Procedures in Intensive Care (MS, TR, TG, RR, MM, AMB), pp. 516–530.

SIGIR-2007-ZhouYSTH #concept #retrieval

Knowledge-intensive conceptual retrieval and passage extraction of biomedical literature (WZ, CTY, NRS, VIT, JH), pp. 655–662.

RE-2007-BolchiniGP #communication #interactive

Branding and Communication Goals for Content-Intensive Interactive Applications (DB, FG, PP), pp. 173–182.

ASE-2006-Mattmann #data-driven #distributed

Software Connectors for Highly Distributed and Voluminous Data Intensive Systems (CM), pp. 331–334.

CASE-2006-KwokHLF #image #multi #optimisation #using

Intensity-Preserving Contrast Enhancement for Gray-Level Images using Multi-objective Particle Swarm Optimization (NMK, QPH, DL, GF), pp. 21–26.

DATE-2006-LucasHRERWGFHES #configuration management #framework #realtime

A reconfigurable HW/SW platform for computation intensive high-resolution real-time digital film applications (AdCL, SH, PR, RE, HR, GW, KG, RF, WH, SE, GS), pp. 194–199.

DATE-2006-MonchieroPSV #hardware #optimisation #performance

Power/performance hardware optimization for synchronization intensive applications in MPSoCs (MM, GP, CS, OV), pp. 606–611.

SIGMOD-2006-LiuZR #memory management #query #runtime

Run-time operator state spilling for memory intensive long-running queries (BL, YZ, EAR), pp. 347–358.

SIGMOD-2006-ManjhiAMMOT #data-driven #scalability #security #web

Simultaneous scalability and security for data-intensive web applications (AM, AA, BMM, TCM, CO, AT), pp. 241–252.

ICML-2006-KrauseLG #topic

Data association for topic intensity tracking (AK, JL, CG), pp. 497–504.

ICPR-v1-2006-DjorgovskiDMWDGG #challenge #data-driven #pattern matching #pattern recognition #recognition

Some Pattern Recognition Challenges in Data-Intensive Astronomy (SGD, CD, AM, RW, AJD, MJG, EG), pp. 856–863.

ICPR-v1-2006-YinWLB #3d #interactive #using

Analyzing Facial Expressions Using Intensity-Variant 3D Data For Human Computer Interaction (LY, XW, PL, AB), pp. 1248–1251.

ICPR-v2-2006-Kita #detection #using

Change detection using joint intensity histogram (YK), pp. 351–356.

ICPR-v2-2006-ZhengZ #2d #3d #framework #metric #similarity

A Unifying MAP-MRF Framework for Deriving New Point Similarity Measures for Intensity-based 2D-3D Registration (GZ, XZ), pp. 1181–1185.

ICPR-v3-2006-ShinozakiUGR #image #using

Correction of intensity of a color image using a range intensity image (MS, KU, GG, MR), pp. 774–777.

ICPR-v4-2006-LuC06a #3d #analysis #metric #using

Practical 3-D Shape Measurement Using Optimal Intensity-Modulated Projection and Intensity-Phase Analysis Techniques (CL, GC), pp. 870–873.

SAC-2006-CicchettiRP #data-driven #development #modelling #weaving #web

Weaving concerns in model based development of data-intensive web applications (AC, DDR, AP), pp. 1256–1261.

ICSE-2006-Firesmith #requirements

Engineering safety-related requirements for software-intensive systems (DF), pp. 1047–1048.

ICSE-2006-MattmannCMH #architecture #data-driven #distributed #framework

A software architecture-based framework for highly distributed and data intensive scientific applications (CM, DJC, NM, SH), pp. 721–730.

HPDC-2006-GlatardMP #composition #data-driven #performance

Efficient services composition for grid-enabled data-intensive applications (TG, JM, XP), pp. 333–334.

HPDC-2006-KhannaVCKKSS #data-driven #replication #scheduling

Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O (GK, NV, ÜVÇ, TMK, SK, PS, JHS), pp. 241–252.

CASE-2005-PachnerBR #optimisation

Intensive fish breeding optimization (DP, PB, BR), pp. 55–60.

DATE-2005-ShashidharBCJ #algebra #equivalence #functional #source code #verification

Functional Equivalence Checking for Verification of Algebraic Transformations on Array-Intensive Source Code (KCS, MB, FC, GJ), pp. 1310–1315.

DRR-2005-ShiG #documentation #image #normalisation #segmentation #using

Historical document image segmentation using background light intensity normalization (ZS, VG), pp. 167–174.

CAiSE-2005-RuscioP #data-driven #development #model transformation #web

Model Transformations in the Development of Data-Intensive Web Applications (DDR, AP), pp. 475–490.

ICEIS-v2-2005-SantosPS #clustering #data mining #framework #mining #modelling

A Cluster Framework for Data Mining Models — An Application to Intensive Medicine (MFS, JP, ÁMS), pp. 163–168.

SAC-2005-Rosso #analysis #framework #message passing #paradigm #performance #scalability

Performance analysis framework for large software-intensive systems with a message passing paradigm (CDR), pp. 885–889.

SAC-2005-WuA #reduction

The intensity level reduction in radiation therapy (XW, JA), pp. 242–246.

ICSE-2005-BoehmBT #development

Spiral development of software-intensive systems of systems (BWB, AWB, RT), pp. 706–707.

ICSE-2005-Firesmith #requirements

Engineering safety-related requirements for software-intensive systems (DF), pp. 720–721.

CGO-2005-ChenK #code generation #optimisation

Optimizing Address Code Generation for Array-Intensive DSP Applications (GC, MTK), pp. 141–152.

HPDC-2005-VenugopalB #cost analysis #data-driven #scheduling

Cost-based scheduling for data-intensive applications on global grids (SV, RB), pp. 310–311.

WICSA-2004-MattmannCHKR #architecture #data-driven #distributed #scalability

Software Architecture for Large-Scale, Distributed, Data-Intensive Systems (CM, DJC, JSH, SCK, PMR), pp. 255–276.

DAC-2004-KappS #automation #behaviour #control flow #scheduling #synthesis

Automatic correct scheduling of control flow intensive behavioral descriptions in formal synthesis (KK, VKS), pp. 61–66.

DATE-v1-2004-MolnosHCE #composition #data-driven #memory management

Compositional Memory Systems for Data Intensive Applications (AMM, MJMH, SC, JTJvE), pp. 728–729.

VLDB-2004-Cha #scalability

P*TIME: Highly Scalable OLTP DBMS for Managing Update-Intensive Stream Workload (SKC, CS), pp. 1033–1044.

ICEIS-v3-2004-AllouiO #architecture #process #uml #using

Describing Software-Intensive Process Architectures Using a UML-Based ADL (IA, FO), pp. 201–208.

ICEIS-v4-2004-LefebvreELO #e-commerce

The Scope and Intensity of Derived Benefits from E-Commerce Penetration in SMEs (LAL, EE, ÉL, OO), pp. 55–61.

ICPR-v1-2004-ShiG #documentation #image #normalisation #using

Historical Document Image Enhancement Using Background Light Intensity Normalization (ZS, VG), pp. 473–476.

ICPR-v1-2004-XuWTQ #question #recognition

Depth vs. Intensity: Which is More Important for Face Recognition? (CX, YW, TT, LQ), pp. 342–345.

ICPR-v3-2004-UmedaGR #constraints #image #using

Registration of Range and Color Images Using Gradient Constraints and Range Intensity Images (KU, GG, MR), pp. 12–15.

HPCA-2004-CarreraB #data-driven #throughput

Improving Disk Throughput in Data-Intensive Servers (EVC, RB), pp. 130–141.

DAC-2003-ZhangCKK #embedded #interprocedural #optimisation #performance

Interprocedural optimizations for improving data cache performance of array-intensive embedded applications (WZ, GC, MTK, MK), pp. 887–892.

DATE-2003-GuptaDGN #branch #design #synthesis

Dynamic Conditional Branch Balancing during the High-Level Synthesis of Control-Intensive Designs (SG, NDD, RKG, AN), pp. 10270–10275.

SIGMOD-2003-DeshpandeNGS03a #named

IrisNet: Internet-scale Resource-Intensive Sensor Services (AD, SN, PBG, SS), p. 667.

HPDC-2003-BalajiWKCPS #data-driven #performance

Impact of High Performance Sockets on Data Intensive Applications (PB, JW, TMK, ÜVÇ, DKP, JHS), pp. 24–33.

DATE-2002-KandemirK #energy

Reducing Cache Access Energy in Array-Intensive Application (MTK, IK), p. 1092.

SIGMOD-2002-CrescenziMM #automation #data-driven #named #web

RoadRunner: automatic data extraction from data-intensive web sites (VC, GM, PM), p. 624.

SAC-2002-SinghP #compilation #data-driven #distributed #java #optimisation

Compiler optimizations for Java aglets in distributed data intensive applications (AS, SP), pp. 87–92.

SAC-2002-StojanovicSV #data-driven #migration #semantics #web

Migrating data-intensive web sites into the Semantic Web (LS, NS, RV), pp. 1100–1107.

HPDC-2002-RanganathanF #data-driven #distributed #scheduling

Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications (KR, ITF), pp. 352–358.

DAC-2001-GuptaSKDGN #design #synthesis

Speculation Techniques for High Level Synthesis of Control Intensive Designs (SG, NS, SK, NDD, RKG, AN), pp. 269–272.

DAC-2001-KjeldsbergCA #data-driven #detection #estimation

Detection of Partially Simultaneously Alive Signals in Storage Requirement Estimation for Data Intensive Applications (PGK, FC, EJA), pp. 365–370.

VLDB-2001-MorishimaKKT #approach #data-driven #repository #xml

Enabling End-users to Construct Data-intensive Web-sites from XML Repositories: An Example-based Approach (AM, SK, HK, ST), pp. 703–704.

CAiSE-2001-ShaoLFEG #data-driven #design #query #source code

Querying Data-Intensive Programs for Data Design (JS, XL, GF, SME, WAG), pp. 203–218.

ICEIS-v1-2001-AllouiO #architecture #component #distributed #process #using

Supporting Decentralised Software-Intensive Processes Using ZETA Component-Based Architecture Description Language (IA, FO), pp. 207–215.

KDD-2001-MannilaS #sequence

Finding simple intensity descriptions from event sequence data (HM, MS), pp. 341–346.

ICSE-2001-YounessiH #development #flexibility #named #object-oriented #process #uml

OPEN: A Flexible OO/CBD Process for Software-Intensive Systems Development, a UML Exposition (HY, BHS), pp. 713–714.

SIGMOD-2000-LiuPBHPT #adaptation #data-driven #distributed #middleware #named #query

AQR-Toolkit: An Adaptive Query Routing Middleware for Distributed Data Intensive Systems (LL, CP, DB, WH, HP, WT), p. 597.

SIGMOD-2000-MerialdoAMMP #automation #data-driven #modelling #named #web

Homer: a Model-Based CASE Tool for Data-Intensive Web Sites (PM, PA, MM, GM, MP), p. 586.

VLDB-2000-YagoubFIV #data-driven #web

Caching Strategies for Data-Intensive Web Sites (KY, DF, VI, PV), pp. 188–199.

VLDB-2000-YagoubFIV00a #data-driven #using #web

Building and Customizing Data-Intensive Web Sites Using Weave (KY, DF, VI, PV), pp. 607–610.

CSMR-2000-Voas

Disposable COTS-Intensive Software Systems (A Position Statement) (JMV), pp. 239–241.

ICSM-2000-LuccaFC #data-driven #diagrams #legacy

Recovering Class Diagrams from Data-Intensive Legacy Systems (GADL, ARF, UdC), pp. 52–63.

ICPR-v1-2000-FaselL #process #recognition #symmetry

Recognition of Asymmetric Facial Action Unit Activities and Intensities (BF, JL), pp. 5100–5103.

ICPR-v1-2000-SpiesJB

Dense Range Flow from Depth and Intensity Data (HS, BJ, JLB), pp. 1131–1134.

ICPR-v1-2000-TasdizenC #algebra #bound #estimation #image #modelling

Boundary Estimation from Intensity/Color Images with Algebraic Curve Models (TT, DBC), pp. 1225–1228.

ICPR-v3-2000-ChenHD #composition #using

Circle Location from Intensity and Range Data Using the Singular Value Decomposition (NsC, GH, SD), pp. 3782–3785.

ICPR-v3-2000-KorhonenHS #independence #modelling #visual notation

Intensity Independent Color Models and Visual Tracking (MK, JH, OS), pp. 3604–3608.

ICPR-v3-2000-ZhangW #clustering #image #segmentation

A New Method of Color Image Segmentation Based on Intensity and Hue Clustering (CZ, PSPW), pp. 3617–3620.

DAC-1999-QuWP #problem

Optimization-Intensive Watermarking Techniques for Decision Problems (GQ, JLW, MP), pp. 33–36.

VLDB-1999-CeriFP #data-driven #generative #web

Data-Driven, One-To-One Web Site Generation for Data-Intensive Applications (SC, PF, SP), pp. 615–626.

VLDB-1999-FlorescuLSY #data-driven #optimisation #runtime

Optimization of Run-time Management of Data Intensive Web-sites (DF, AYL, DS, KY), pp. 627–638.

HCI-EI-1999-JensenLR

Forearm Muscular Fatigue during four Hours of Intensive Computer Mouse Work — Relation to Age (BRJ, BL, AR), pp. 93–96.

ICML-1999-MorikBJ #approach #case study #knowledge-based #learning #monitoring #statistics

Combining Statistical Learning with a Knowledge-Based Approach — A Case Study in Intensive Care Monitoring (KM, PB, TJ), pp. 268–277.

ICSE-1999-Hantos #requirements

A Systems Engineering View of Requirements Management for Software-Intensive Systems (PH), pp. 620–621.

HPDC-1999-TierneyLCHHD #data-driven #distributed

A Network-Aware Distributed Storage Cache for Data Intensive Environments (BT, JL, BC, MH, JH, FLD), pp. 185–193.

DAC-1998-LakshminarayanaJ #behaviour #control flow #framework #named #optimisation #throughput

FACT: A Framework for the Application of Throughput and Power Optimizing Transformations to Control-Flow Intensive Behavioral Descriptions (GL, NKJ), pp. 102–107.

DAC-1998-LakshminarayanaRJ #behaviour #control flow #execution #scheduling

Incorporating Speculative Execution into Scheduling of Control-Flow Intensive Behavioral Descriptions (GL, AR, NKJ), pp. 108–113.

DAC-1998-SilvaYMCWJCVSM #data transfer #performance #synthesis

Efficient System Exploration and Synthesis of Applications with Dynamic Data Storage and Intensive Data Transfer (JLdSJ, CYC, MM, KC, SW, GGdJ, FC, DV, PS, HDM), pp. 76–81.

DATE-1998-KhouriLJ #control flow #named #power management #synthesis

IMPACT: A High-Level Synthesis System for Low Power Control-Flow Intensive Circuits (KSK, GL, NKJ), pp. 848–854.

EDOC-1998-Moniz #data-driven #interface #middleware #object-oriented

Developing practical, object-oriented middleware interfaces for data-intensive applications (DLM), pp. 174–182.

ICPR-1998-HattoriMS #image #symmetry #using

Estimating pose of human face based on symmetry plane using range and intensity images (KH, SM, YS), pp. 1183–1187.

ICPR-1998-LuYI #analysis

Intensity modulated moire and its intensity-phase analysis (CL, AY, SI), pp. 1791–1793.

HPDC-1998-Johnston #data-driven #performance

High-Speed, Wide Area, Data Intensive Computing: A Ten Year Retrospective (WEJ), pp. 280–291.

ASE-1997-Tan #component #data-driven #interface #reuse #source code

Enhancing the Component Reusability in Data-Intensive Business Programs through Interface Separation (HBKT), pp. 313–314.

DAC-1997-RaghunathanDJW #control flow #design #power management

Power Management Techniques for Control-Flow Intensive Designs (AR, SD, NKJ, KW), pp. 429–434.

ITiCSE-1997-BifflG #education #project management #quality #re-engineering

Teaching software engineering and project management to 300 participants without drain of quality or intensity (SB, TG), pp. 51–53.

ICSE-1997-RamKH #architecture #product line

Architecting Families of Software-Intensive Products (AR, HK, PH), p. 580.

ICSE-1997-ShimaTMT #case study #fault

A Study on the Failure Intensity of Different Software Faults (KS, ST, KiM, KT), pp. 86–94.

ICPR-1996-GimelfarbMGGMO #symmetry

Digital photogrammetric station “Delta” and symmetric intensity-based stereo (GLG, VIM, VBG, MVG, BOM, SVO), pp. 979–983.

ICPR-1996-MustafaSG #3d #image #recognition

3D object recognition from color intensity images (AAYM, LGS, MAG), pp. 627–631.

HPDC-1996-HaoLS #framework

A Light-Weight Application Sharing Infrastructure for Graphics Intensive Applications (MCH, DL, JSS), pp. 127–131.

JICSLP-1996-FordanGN #constraints #optimisation #problem #using

Optimizing Constraint-Intensive Problems Using Early Projection (Poster Abstract) (AF, UG, AN), p. 537.

ICSM-1995-YangB #data-driven #modelling

Acquisition of ERA models from data intensive code (HY, KHB), pp. 116–123.

ESEC-1995-BrownCCMSWW #case study #quality #scalability

Assessing the Quality of Large, Software-Intensive Systems: A Case Study (AWB, DJC, PCC, BCM, DBS, NHW, WGW), pp. 384–404.

HPCA-1995-TorrellasXD #operating system #optimisation #performance

Optimizing Instruction Cache Performance for Operating System Intensive Workloads (JT, CX, RLD), pp. 360–369.

DAC-1994-BhattacharyaDB94a #analysis #optimisation #performance #specification

Performance Analysis and Optimization of Schedules for Conditional and Loop-Intensive Specifications (SB, SD, FB), pp. 491–496.

ICSM-1994-YangB #data-driven #maintenance #source code

Extension of a Transformation System for Maintenance: Dealing with Data-Intensive Programs (HY, KHB), pp. 344–353.

CSCW-1994-ZabeleRV #framework #performance

High Performance Infrastructure for Visually-Intensive CSCW Applications (SZ, SLR, RLV), pp. 395–403.

SIGMOD-1993-SuLRD #estimation

An Instant and Accurate Estimation Method for Joins and Selection in a Retrieval-Intensive Environment (WS, YL, NR, YD), pp. 79–88.

SEKE-1993-AbbattistaLV #concept #modelling

Recovering Conceptual Data Models is Human-Intensive (FA, FL, GV), pp. 534–543.

DAC-1992-LeeP #constraints #functional #generative #testing

Hierarchical Test Generation under Intensive Global Functional Constraints (JL, JHP), pp. 261–266.

SEKE-1992-BrunoMG #modelling #re-engineering

A Software Engineering Environment for Modeling and Developing Knowledge-Intensive Systems (GB, GM, AG), pp. 519–533.

ML-1991-PazzaniBS #approach #concept #learning #relational

A Knowledge-intensive Approach to Learning Relational Concepts (MJP, CB, GS), pp. 432–436.

ICSE-1991-HihnH #bibliography #estimation

Cost Estimation of Software Intensive Projects: A Survey of Current Practices (JH, HHa), pp. 276–287.

LFP-1990-NadathurW #representation

A Representation of λ Terms Suitable for Operations on Their Intensions (GN, DSW), pp. 341–348.

SEKE-1990-MohanK #framework #modelling

A Framework For Building Knowledge-Intensive Data Models (LM, RLK), pp. 33–38.

CHI-1989-ColluraJBK #design #interface #monitoring

User-interface design for a clinical neurophysiological intensive monitoring system (TFC, ECJ, RCB, GHK), pp. 363–368.

ML-1989-Manago #induction

Knowledge Intensive Induction (MM), pp. 151–155.

SIGMOD-1988-AlexanderC #data flow #data-driven #distributed #process

Process And Dataflow Control In Distributed Data-Intensive Systems (WA, GPC), pp. 90–98.

LFP-1988-DanvyM

Intensions and Extensions in a Reflective Tower (OD, KM), pp. 327–341.

ML-1988-BergadanoG #approach #concept #induction

A Knowledge Intensive Approach to Concept Induction (FB, AG), pp. 305–317.

JICSCP-1988-ChenW88

Objects as Intensions (WC, DSW), pp. 404–419.

JICSCP-1988-Zaniolo88 #data-driven #design #implementation #logic

Design and Implementation of a Logic Based Language for Data Intensive Applications (CZ), pp. 1666–1687.

PLDI-1987-ChaseH #debugging #source code

Selective interpretation as a technique for debugging computationally intensive programs (BBC, RTH), pp. 113–124.

SIGMOD-1980-HammerB #data-driven #named #programming language

DIAL: A Programming Language for Data Intensive Applications (MH, BB), pp. 75–92.

SIGMOD-1978-MylopoulosBW #design #interactive

A Language Facility for Designing Interactive Database-Intensive Applications (Abstract) (JM, PAB, HKTW), p. 17.