Stem tell$ (all stems)

54 papers:

CHI-2015-JonesCDTPDH #delphi #information management #using

“For Telling” the Present: Using the Delphi Method to Understand Personal Information Management Practices (WJ, RC, AD, JT, MAPQ, JDD, BMH), pp. 3513–3522.

HIMI-IKC-2015-UeokaK #interactive #using

Fortune Air: An Interactive Fortune Telling System Using Vortex Air Cannon (RU, NK), pp. 646–656.

ICML-2015-ShajarisalesJSB #linear

Telling cause from effect in deterministic linear dynamical systems (NS, DJ, BS, MB), pp. 285–294.

ICML-2015-XuBKCCSZB #generative #image #visual notation

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (KX, JB, RK, KC, ACC, RS, RSZ, YB), pp. 2048–2057.

ESEC-FSE-2015-GuJSZL #concurrent #thread #what

What change history tells us about thread synchronization (RG, GJ, LS, LZ, SL), pp. 426–438.

ICSME-2014-PanichellaBPCA #developer #how

How Developers’ Collaborations Identified from Different Sources Tell Us about Code Changes (SP, GB, MDP, GC, GA), pp. 251–260.

CHI-2014-AndrewsB #branch #interactive #visualisation

Visualizing interactive narratives: employing a branching comic to tell a story and show its readings (DA, CB), pp. 1895–1904.

HCI-AS-2014-ChiabrandoFLOPD #case study #experience #named

TellEat: Sharing Experiences on the Move (EC, RF, SL, FO, CP, DTD), pp. 377–388.

CIKM-2014-QuattroneNKT #what

Tell Me What You Want and I Will Tell Others Where You Have Been (AQ, EN, LK, ET), pp. 1783–1786.

RecSys-2014-LiuWW #what

Tell me where to go and what to do next, but do not bother me (HL, GW, GW), pp. 375–376.

HT-2013-GuerreiroG #exclamation #quote #what

“Tell me what I want to know!”: the effect of relationship closeness on the relevance of profile attributes (JG, DG), pp. 230–235.

CSMR-2013-AnicheOG #case study #industrial #open source #quality #testing #what

What Do the Asserts in a Unit Test Tell Us about Code Quality? A Study on Open Source and Industrial Projects (MFA, GAO, MAG), pp. 111–120.

CSCW-2013-PanLCL #process #social #what

To answer or not: what non-qa social activities can tell (YP, LL, CYC, QL), pp. 1253–1263.

HIMI-LCCB-2013-LindholmBN #interactive

I See, Please Tell Me More — Exploring Virtual Agents as Interactive Storytellers (DL, EPB, TN), pp. 89–98.

CIKM-2013-MoffatTS #effectiveness #metric #modelling #what

Users versus models: what observation tells us about effectiveness metrics (AM, PT, FS), pp. 659–668.

CIKM-2013-SpeicherBG #exclamation #interactive #predict #web

TellMyRelevance!: predicting the relevance of web search results from cursor interactions (MS, AB, MG), pp. 1281–1290.

SIGIR-2013-Rodriguez-VaamondeTF #documentation #image #using #web #what

What can pictures tell us about web pages?: improving document search using images (SRV, LT, AWF), pp. 849–852.

ICSM-2012-BasitAHJ

Things structural clones tell that simple clones don’t (HAB, UA, SH, SJ), pp. 275–284.

CHI-2012-KuleszaSBK #personalisation

Tell me more?: the effects of mental model soundness on personalizing an intelligent agent (TK, SS, MMB, IK), pp. 1–10.

ICPR-2012-Gao #what

What entropy tells about man-made structures (JG), pp. 250–253.

SIGIR-2012-GarkavijsTK

GLASE 0.1: eyes tell more than mice (VG, MT, NK), pp. 1085–1086.

ASPLOS-2012-KasikciZC #debugging #difference

Data races vs. data race bugs: telling the difference with portend (BK, CZ, GC), pp. 185–198.

CHI-2011-GrandhiSJ #mobile

Telling calls: facilitating mobile phone conversation grounding and management (SAG, RPS, QJ), pp. 2153–2162.

CSCW-2011-MinamikawaY #estimation #what

Blog tells what kind of personality you have: egogram estimation from Japanese weblog (AM, HY), pp. 217–220.

VISSOFT-2011-NeuLHD #gnome

Telling stories about GNOME with Complicity (SN, ML, LH, MD), pp. 1–8.

KDD-2011-MampaeyTV #what

Tell me what i need to know: succinctly summarizing data with itemsets (MM, NT, JV), pp. 573–581.

SIGIR-2011-ThomasJH #quality #what

What deliberately degrading search quality tells us about discount functions (PT, TJ, DH), pp. 1107–1108.

ICALP-v2-2010-CollinsCGL

Tell Me Where I Am So I Can Meet You Sooner (AC, JC, LG, AL), pp. 502–514.

CHI-2010-MullerMF #enterprise

Patterns of usage in an enterprise file-sharing service: publicizing, discovering, and telling the news (MJM, DRM, JF), pp. 763–766.

CSCW-2010-CaoLHS #deployment

Telling the whole story: anticipation, inspiration and reputation in a field deployment of TellTable (XC, SEL, JH, AS), pp. 251–260.

ICML-2010-JanzingHS

Telling cause from effect based on high-dimensional observations (DJ, POH, BS), pp. 479–486.

ITiCSE-2009-Christensen #approach #design #re-engineering

A story-telling approach for a software engineering course design (HBC), pp. 60–64.

IDGD-2009-Gould09a #people #question #usability

Intercultural Usability Surveys: Do People Always Tell “The Truth”? (EWG), pp. 254–258.

KDD-2009-HanhijarviOVPTM #data mining #mining

Tell me something I don’t know: randomization strategies for iterative data mining (SH, MO, NV, KP, NT, HM), pp. 379–388.

SIGIR-2009-NollYGMS #folksonomy #ranking

Telling experts from spammers: expertise ranking in folksonomies (MGN, CmAY, NG, CM, NS), pp. 612–619.

HT-2008-JatowtKOT #documentation #interactive #modelling #towards #what

What can history tell us?: towards different models of interaction with document histories (AJ, YK, HO, KT), pp. 5–14.

MSR-2008-HindleGH #commit #scalability #what

What do large commits tell us?: a taxonomical study of large commits (AH, DMG, RCH), pp. 99–108.

CHI-2008-PetrelliWB #named #physics #question #what

AutoTypography: what can physical mementos tell us about digital memories? (DP, SW, JB), pp. 53–62.

KR-2008-KontchakovWZ #difference #ontology #question

Can You Tell the Difference Between DL-Lite Ontologies? (RK, FW, MZ), pp. 285–295.

ICSE-2008-YilmazPW #fault #locality #using

Time will tell: fault localization using time spectra (CY, AMP, CW), pp. 81–90.

MSR-2007-RigbyH #analysis #developer #what

What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List (PCR, AEH), p. 23.

ILC-2007-WozniakDW #abstraction #data type #policy

Dynamic ADTs: a “don’t ask, don’t tell” policy for data abstraction (GW, MD, SW), p. 26.

HCI-MIE-2007-Alexandris #human-computer #quote #semantics #using

“Show and Tell”: Using Semantically Processable Prosodic Markers for Spatial Expressions in an HCI System for Consumer Complaints (CA), pp. 13–22.

SEKE-2007-OliveiraAB #information management #maintenance

Telling Stories about System Use: Capturing Collective Tacit Knowledge for System Maintenance (ACdO, RMdA, MRSB), pp. 337–342.

IWPC-2005-HouWH #framework #question #what

What Can Programmer Questions Tell Us About Frameworks? (DH, KW, HJH), pp. 87–96.

ECIR-2005-ChevalletLV #image #information management #named #ubiquitous

SnapToTell: A Singapore Image Test Bed for Ubiquitous Information Access from Camera (JPC, JHL, RV), pp. 530–532.

ICDAR-2003-SimardSBCC #recognition #segmentation #using

Using Character Recognition and Segmentation to Tell Computer from Humans (PYS, RS, JB, JC, IC), pp. 418–423.

STOC-2003-AwerbuchAM #online #optimisation

Reducing truth-telling online mechanisms to online optimization (BA, YA, AM), pp. 503–510.

CHI-2003-JackoSSBEEKMZ #feedback #multimodal #performance #question #visual notation #what

Older adults and visual impairment: what do exposure times and accuracy tell us about performance gains associated with multimodal feedback? (JAJ, IUS, FS, LB, PJE, VKE, TK, KPM, BSZ), pp. 33–40.

RE-2002-DarimontDRR #requirements

Requirements Engineering with Grail/Kaos: Tell the Requirements, All the Requirements, and Nothing Else but the Requirement (RD, ED, JLR, AR), p. 299.

ICDAR-1993-CollinTV #analysis #documentation

Don’t tell mom I’m doing document analysis; she believes I’m in the computer vision field (SC, KT, PV), pp. 619–622.

KR-1989-Poole #reasoning #what

What the Lottery Paradox Tells Us About Default Reasoning (DP), pp. 333–340.

HCI-CE-1987-Soloway #specification #what

I Can’t Tell What in the Code Implements What in the Specs (ES), pp. 317–328.

CSCW-1986-Orr #process

Narratives at work: story telling as cooperative diagnostic activity (JEO), pp. 62–72.