9 papers:
- DATE-2015-ZhangWTYX #approximate #framework #named #network
- ApproxANN: an approximate computing framework for artificial neural network (QZ, TW, YT, FY, QX), pp. 701–706.
- SAC-2014-SantosSTO #approach #hybrid #navigation
- A hybrid GA-ANN approach for autonomous robots topological navigation (VdCS, DOS, CFMT, FSO), pp. 148–153.
- VLDB-2013-ChenOOB #named #semantics
- ROSeAnn: Reconciling Opinions of Semantic Annotators (LC, SO, GO, MB), pp. 1238–1241.
- ICPR-2012-ChenS #multi
- Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs (SC, KS), pp. 17–20.
- ICEIS-AIDSS-2010-SahaPMB #classification #clustering #difference #image #using
- Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image (IS, DP, UM, SB), pp. 21–29.
- SEKE-2006-SongZDASNVSV #case study #named
- SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study (MAJS, LEZ, SMD, AA, BS, BMN, RV, TRAS, NV), pp. 631–638.
- KDD-2004-AbajoDLC #case study #data mining #industrial #mining #modelling #quality
- ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study (NdA, ABD, VL, SRC), pp. 799–804.
- ICDAR-2001-ZhuS #feedback #recognition
- A Handwritten Character Recognition Method with ANN Feedback (XZ, YS), pp. 255–259.
- ML-1991-Kwok #adaptation #architecture #learning #query #using
- Query Learning Using an ANN with Adaptive Architecture (KLK), pp. 260–264.