56 papers:
- CHI-2014-LohseRPKE #gesture #performance
- Robot gestures make difficult tasks easier: the impact of gestures on perceived workload and task performance (ML, RR, JGP, DEK, VE), pp. 1459–1466.
- DRR-2013-AzawiLB #documentation #layout
- WFST-based ground truth alignment for difficult historical documents with text modification and layout variations (MIAAA, ML, TMB).
- ESEC-FSE-2013-Terekhov
- Good technology makes the difficult task easy (AT), pp. 683–686.
- DAC-2012-LinHFHM #debugging #detection #effectiveness #validation
- Quick detection of difficult bugs for effective post-silicon validation (DL, TH, FF, NH, SM), pp. 561–566.
- CSMR-2012-TollO #game studies #question #why
- Why is Unit-testing in Computer Games Difficult? (DT, TO), pp. 373–378.
- CIKM-2012-JatowtT12a #analysis #comparative #readability #wiki
- Is wikipedia too difficult?: comparative analysis of readability of wikipedia, simple wikipedia and britannica (AJ, KT), pp. 2607–2610.
- ECIR-2012-DiriyeKH #interactive #query #web
- Interactive Search Support for Difficult Web Queries (AD, GK, JH), pp. 37–49.
- SIGIR-2012-LiuSCNW #adaptation #query
- Adaptive query suggestion for difficult queries (YL, RS, YC, JYN, JRW), pp. 15–24.
- ICALP-v1-2011-BulteauFR #sorting
- Sorting by Transpositions Is Difficult (LB, GF, IR), pp. 654–665.
- CIKM-2011-KarimzadehganZ #documentation #modelling #query #retrieval
- Improving retrieval accuracy of difficult queries through generalizing negative document language models (MK, CZ), pp. 27–36.
- CIKM-2011-KotovZ #feedback #interactive #query
- Interactive sense feedback for difficult queries (AK, CZ), pp. 163–172.
- CIKM-2011-TanevaKW #image
- Finding images of difficult entities in the long tail (BT, MK, GW), pp. 189–194.
- ECIR-2011-ElsweilerBR #case study #email #what
- What Makes Re-finding Information Difficult? A Study of Email Re-finding (DE, MB, IR), pp. 568–579.
- ECIR-2011-TrieschniggH #question
- Classic Children’s Literature — Difficult to Read? (DT, CH), pp. 691–694.
- RecSys-2011-SparlingS #how #named #question #rating
- Rating: how difficult is it? (EIS, SS), pp. 149–156.
- CADE-2011-Ranta #logic #what
- Translating between Language and Logic: What Is Easy and What Is Difficult (AR), pp. 5–25.
- CHI-2010-AulaKG #behaviour #how #question
- How does search behavior change as search becomes more difficult? (AA, RMK, ZG), pp. 35–44.
- ICDAR-2009-KaeL #learning #on the fly #problem
- Learning on the Fly: Font-Free Approaches to Difficult OCR Problems (AK, EGLM), pp. 571–575.
- CIKM-2009-SunLL #case study #category theory #classification #performance #predict #what
- What makes categories difficult to classify?: a study on predicting classification performance for categories (AS, EPL, YL), pp. 1891–1894.
- CIKM-2008-XuA #feedback #query
- Active relevance feedback for difficult queries (ZX, RA), pp. 459–468.
- ECIR-2008-Mizzaro #evaluation #information retrieval #question
- The Good, the Bad, the Difficult, and the Easy: Something Wrong with Information Retrieval Evaluation? (SM), pp. 642–646.
- RTA-2008-UrbanZ #proving
- Revisiting Cut-Elimination: One Difficult Proof Is Really a Proof (CU, BZ), pp. 409–424.
- CHI-2007-HuWNMI #testing #usability
- Context & usability testing: user-modeled information presentation in easy and difficult driving conditions (JH, AW, CN, JDM, RI), pp. 1343–1346.
- HCI-IDU-2007-Karjalainen #analysis #why
- Why It Is Difficult to Use a Simple Device: An Analysis of a Room Thermostat (SK), pp. 544–548.
- CIKM-2007-WangFZ #feedback #query #retrieval #using
- Improve retrieval accuracy for difficult queries using negative feedback (XW, HF, CZ), pp. 991–994.
- SIGIR-2007-FuKS #collaboration #query #retrieval #topic #using
- Using collaborative queries to improve retrieval for difficult topics (XF, DK, CS), pp. 879–880.
- DATE-2006-KimH
- Associative skew clock routing for difficult instances (MSK, JH), pp. 762–767.
- SIGIR-2006-CarmelYDP #query #question #what
- What makes a query difficult? (DC, EYT, AD, DP), pp. 390–397.
- CAV-2006-KrcalY #automaton #communication #verification
- Communicating Timed Automata: The More Synchronous, the More Difficult to Verify (PK, WY), pp. 249–262.
- ITiCSE-2005-Massarelli
- The difficult art of pruning in favour of creative thinking (RM), p. 368.
- ICML-2005-RosellHRP #learning #why
- Why skewing works: learning difficult Boolean functions with greedy tree learners (BR, LH, SR, DP), pp. 728–735.
- ICEIS-v3-2004-MaiLB #adaptation #design
- Difficult Issues in Designing Adaptive Object Model Systems (YM, JL, GB), pp. 295–302.
- DAC-2003-LuWCMH #case study #correlation #industrial
- A signal correlation guided ATPG solver and its applications for solving difficult industrial cases (FL, LCW, KTC, JM, ZH), pp. 436–441.
- ICDAR-2003-LeedhamYTTM #algorithm #comparison #documentation #image #segmentation
- Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images (GL, YC, KT, JHNT, LM), p. 859–?.
- CHI-2003-YamauchiWB
- Information use of service technicians in difficult cases (YY, JW, DGB), pp. 81–88.
- SIGIR-2003-HuBZ #analysis #fault #topic
- Error analysis of difficult TREC topics (XH, SB, CZ), pp. 407–408.
- ICSE-2003-NuseibehKF #exclamation #named
- ViewPoints: meaningful relationships are difficult! (BN, JK, AF), pp. 676–683.
- DAC-2002-AloulRMS #satisfiability #symmetry
- Solving difficult SAT instances in the presence of symmetry (FAA, AR, ILM, KAS), pp. 731–736.
- ITiCSE-2002-HabermanA #recursion #student #why
- The case of base cases: why are they so difficult to recognize? student difficulties with recursion (BH, HA), pp. 84–88.
- SAT-2002-AloulRMS #satisfiability #symmetry
- Solving difficult SAT instances in the presence of symmetry (FAA, AR, IM, KS), p. 23.
- ITiCSE-2001-Fone #concept #network #spreadsheet #using
- Using a familiar package to demonstrate a difficult concept: using an excel spreadsheet model to explain the concepts of neural networks to undergraduates (WF), pp. 165–168.
- CAiSE-2000-KaindlM #question #research #why
- Why Is It So Difficult to Introduce RE Research Results into Mainstream RE Practice? (HK, JM), pp. 7–12.
- ICRE-2000-Kaindl #question #requirements #research #why
- Why is it so Difficult to Introduce Requirements Engineering Research Results into Mainstream Requirements Engineering Practice? (HK), pp. 67–68.
- ICRE-2000-Mead #question #requirements #research #why
- Why is it so Difficult to Introduce Requirements Engineering Research Results into Mainstream Requirements Engineering Practice? (NRM), pp. 75–76.
- ICDAR-1999-BlumensteinV #benchmark #database #metric #recognition #segmentation #word
- Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database (MB, BV), pp. 281–284.
- ICALP-1998-Walukiewicz #complexity
- Difficult Configurations — On the Complexity of LTrL (IW), pp. 140–151.
- ITiCSE-1997-Moser #game studies #learning #what #why
- A fantasy adventure game as a learning environment: why learning to program is so difficult and what can be done about it (RM), pp. 114–116.
- AdaEurope-1996-Bondeli #ada #object-oriented #programming
- An Ada 95 View of Some Difficult or Controversial Points in Object-Oriented Programming (PdB), pp. 370–384.
- KR-1994-Konolige #algorithm #problem
- Easy to be Hard: Difficult Problems for Greedy Algorithms (KK), pp. 374–378.
- RTA-1993-MiddeldorpG #termination
- Simple Termination is Difficult (AM, BG), pp. 228–242.
- STOC-1987-Ronyai #algebra
- Simple Algebras Are Difficult (LR), pp. 398–408.
- STOC-1986-BaranyF
- Computing the Volume Is Difficult (IB, ZF), pp. 442–447.
- SIGIR-1981-Fraenkel #classification #documentation #problem
- Document Classification, Indexing and Abstracting May be Inherently Difficult Problems (ASF), pp. 77–82.
- STOC-1980-CarlsonS #graph
- Graph Pebbling with Many Free Pebbles can be Difficult (DAC, JES), pp. 326–332.
- ICSE-1976-Wexelblat #design #how #programming
- Maxims for Malfeasant Designers, or How to Design Languages to Make Programming as Difficult as Possible (RLW), pp. 331–336.
- SOSP-1971-Needham #fault #operating system
- Handling Difficult Faults in Operating Systems (RMN), pp. 55–57.