Stem imbalanc$ (all stems)

33 papers:

DAC-2015-WangJZWY15a #memory management

Exploit imbalanced cell writes to mitigate write disturbance in dense phase change memory (RW, LJ, YZ, LW, JY), p. 6.

SEKE-2015-GaoKN #set

Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data (KG, TMK, AN), pp. 439–444.

ICSE-v2-2015-TanTDM #fault #online #predict

Online Defect Prediction for Imbalanced Data (MT, LT, SD, CM), pp. 99–108.

ICPR-2014-LyonBKS #distance

Hellinger Distance Trees for Imbalanced Streams (RJL, JMB, JDK, BWS), pp. 1969–1974.

ICPR-2014-SandhanC #dataset #hybrid #pattern matching #pattern recognition #recognition

Handling Imbalanced Datasets by Partially Guided Hybrid Sampling for Pattern Recognition (TS, JYC), pp. 1449–1453.

ICPR-2014-SousaSB #case study #classification #set

Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study (CARdS, VMAdS, GEAPAB), pp. 3780–3785.

KDD-2014-GohR #learning

Box drawings for learning with imbalanced data (STG, CR), pp. 333–342.

KDIR-2014-SatoNS #classification #kernel #using

A Simple Classification Method for Class Imbalanced Data using the Kernel Mean (YS, KN, AS), pp. 327–334.

MLDM-2014-WaiyamaiS #approach #classification #dataset

A Cost-Sensitive Based Approach for Improving Associative Classification on Imbalanced Datasets (KW, PS), pp. 31–42.

CIKM-2012-LiangZ #classification #performance

An efficient and simple under-sampling technique for imbalanced time series classification (GL, CZ), pp. 2339–2342.

ICPR-2012-RadtkeGSG #adaptation

Adaptive selection of ensembles for imbalanced class distributions (PVWR, EG, RS, DOG), pp. 2980–2984.

ICPR-2012-Utasi #classification #dataset

Weighted conditional mutual information based boosting for classification of imbalanced datasets (ÁU), pp. 2711–2714.

KDIR-2012-LemnaruTCP #case study #classification #detection #hybrid #network #problem

A Hybrid Solution for Imbalanced Classification Problems — Case Study on Network Intrusion Detection (CL, ATV, AC, RP), pp. 348–352.

SEKE-2012-GaoKN #feature model #metric

Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data (KG, TMK, AN), pp. 74–79.

ICEIS-J-2011-LemnaruP #classification #problem

Imbalanced Classification Problems: Systematic Study, Issues and Best Practices (CL, RP), pp. 35–50.

CIKM-2011-LiZWLW #classification #sentiment

Imbalanced sentiment classification (SL, GZ, ZW, SYML, RW), pp. 2469–2472.

KDIR-2011-PrachuabsupakijS #classification #multi #set #using

Multi-class Data Classification for Imbalanced Data Set using Combined Sampling Approaches (WP, NS), pp. 166–171.

SEKE-2011-GaoK #fault #predict

Software Defect Prediction for High-Dimensional and Class-Imbalanced Data (KG, TMK), pp. 89–94.

ICPR-2010-GarciaMS #analysis #performance

Theoretical Analysis of a Performance Measure for Imbalanced Data (VG, RAM, JSS), pp. 617–620.

ICPR-2010-GhanemVW #classification #multi

Multi-class Pattern Classification in Imbalanced Data (ASG, SV, GAWW), pp. 2881–2884.

ICPR-2010-SodaI #composition #dataset #integration #learning

Decomposition Methods and Learning Approaches for Imbalanced Dataset: An Experimental Integration (PS, GI), pp. 3117–3120.

KDIR-2009-CallejaFGA #learning #set

A Learning Method for Imbalanced Data Sets (JdlC, OF, JG, RMAP), pp. 307–310.

ICPR-2008-GhanemVW #learning #relational

Learning in imbalanced relational data (ASG, SV, GAWW), pp. 1–4.

ICPR-2008-NguyenBP #approach #learning #set

A supervised learning approach for imbalanced data sets (GHN, AB, SLP), pp. 1–4.

KDD-2008-ChenW #classification #feature model #metric #named #performance #problem

FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems (XwC, MW), pp. 124–132.

CIKM-2007-ErtekinHBG #classification #learning

Learning on the border: active learning in imbalanced data classification (SE, JH, LB, CLG), pp. 127–136.

ICML-2007-HulseKN #learning

Experimental perspectives on learning from imbalanced data (JVH, TMK, AN), pp. 935–942.

ICPR-v1-2006-LiCF #hybrid #kernel #set

Hybrid Kernel Machine Ensemble for Imbalanced Data Sets (PL, KLC, WF), pp. 1108–1111.

ICPR-v3-2006-ChengC #problem

A Complementary Ordering Method for Class Imbalanced Problem (HTC, CSC), pp. 429–432.

KDD-2006-ArunasalamC #classification #named #top-down

CCCS: a top-down associative classifier for imbalanced class distribution (BA, SC), pp. 517–522.

ICML-2003-WuC #adaptation #learning

Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning (GW, EYC), pp. 816–823.

MLDM-2003-DehmeshkiKC #rule-based #set

A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set (JD, MK, MVC), pp. 215–223.

ICML-1997-KubatM #set

Addressing the Curse of Imbalanced Training Sets: One-Sided Selection (MK, SM), pp. 179–186.