A Boosting-Aided Adaptive Cluster-Based Undersampling Approach for Treatment of Class Imbalance Problem

Towards DNA based data security in the cloud computing environment

(2020) Suyel Namasudra et al.   COMPUTER COMMUNICATIONS

The Revolution of Blockchain: State-of-the-Art and Research Challenges

(2020) Suyel Namasudra et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

PpBAC

(2018) Suyel Namasudra et al.   Journal of Organizational and End User Computing

Time efficient secure DNA based access control model for cloud computing environment

(2017) Suyel Namasudra et al.   Future Generation Computer Systems-The International Journal of eScience

Time saving protocol for data accessing in cloud computing

(2017) Suyel Namasudra et al.   IET Communications

Redundancy-driven modified Tomek-link based undersampling: A solution to class imbalance

(2017) Debashree Devi et al.   PATTERN RECOGNITION LETTERS

An improved weighted extreme learning machine for imbalanced data classification

(2017) Chengbo Lu et al.   Memetic Computing

Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy

(2016) Bartosz Krawczyk et al.   APPLIED SOFT COMPUTING

A new secure authentication scheme for cloud computing environment

(2016) Suyel Namasudra et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

RACOG and wRACOG: Two Probabilistic Oversampling Techniques

(2015) Barnan Das et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

(2015) José A. Sáez et al.   INFORMATION SCIENCES

Coupling different methods for overcoming the class imbalance problem

(2015) Loris Nanni et al.   NEUROCOMPUTING

Two-Stage Cost-Sensitive Learning for Software Defect Prediction

(2014) Mingxia Liu et al.   IEEE TRANSACTIONS ON RELIABILITY

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

(2013) Victoria López et al.   INFORMATION SCIENCES

Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data

(2013) C. L. Castro et al.   IEEE Transactions on Neural Networks and Learning Systems

MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning

(2012) Sukarna Barua et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Multiclass Imbalance Problems: Analysis and Potential Solutions

(2012) Shuo Wang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Inverse random under sampling for class imbalance problem and its application to multi-label classification

(2012) Muhammad Atif Tahir et al.   PATTERN RECOGNITION

Error back-propagation algorithm for classification of imbalanced data

(2011) Sang-Hoon Oh   NEUROCOMPUTING

The boosting: A new idea of building models

(2009) Dong-Sheng Cao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy

(2009) Salvador García et al.   EVOLUTIONARY COMPUTATION

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

(2009) Chris Seiffert et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

Cluster-based under-sampling approaches for imbalanced data distributions

(2008) Show-Jane Yen et al.   EXPERT SYSTEMS WITH APPLICATIONS