Sukarna Barua

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Kazuyuki MuraseInternational Professional University of Technology in Osaka, University of FukuiVerified email at u-fukui.ac.jp
Md. Monirul IslamProfessor of Computer Science, BUETVerified email at cse.buet.ac.bd
Tanzima HashemProfessor, Computer Science & Enginnering, Bangladesh University of EngineeringVerified email at cse.buet.ac.bd
Egemen TaninComputing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Lars KulikProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Samiha SamroseAppleVerified email at apple.com
Ashikur RahmanProfessor, Department of Computer Science & Engg. (CSE), Bangladesh Univ. of Engg. & Tech. (BUETVerified email at cse.buet.ac.bd
Md Tanvir Al AminGoogle LLCVerified email at google.com
Sudip VhaduriAssistant Professor, Purdue University | Director, mAI LabVerified email at purdue.edu
Anika TabassumOak Ridge National Laboratory, Virginia TechVerified email at ornl.gov
Tasmin ChowdhuryResearch Engineer, NTT DOCOMOVerified email at docomoinnovations.com
Flora SalimProfessor, Cisco Chair of AI & Digital Transport, Computer Science and Engineering, UNSWVerified email at unsw.edu.au
Xin YaoLingnan University (Hong Kong) and University of Birmingham (UK)

Sukarna Barua

Associate Professor , Computer Science & Engineering, BUET

Verified email at cse.buet.ac.bd

Data Mining Machine Learning Pattern Recognition


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MWMOTE--majority weighted minority oversampling technique for imbalanced data set learning S Barua, MM Islam, X Yao, K Murase IEEE Transactions on knowledge and data engineering 26 (2), 405-425, 2012	1158	2012
A novel synthetic minority oversampling technique for imbalanced data set learning S Barua, MM Islam, K Murase Neural Information Processing: 18th International Conference, ICONIP 2011 …, 2011	108	2011
ProWSyn: Proximity weighted synthetic oversampling technique for imbalanced data set learning S Barua, MM Islam, K Murase Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013	82	2013
Efficient computation of trips with friends and families T Hashem, S Barua, ME Ali, L Kulik, E Tanin Proceedings of the 24th ACM International on Conference on Information and …, 2015	46	2015
FCC-GAN: A fully connected and convolutional net architecture for GANs S Barua, SM Erfani, J Bailey arXiv preprint arXiv:1905.02417, 2019	34	2019
Efficient computation of group optimal sequenced routes in road networks S Samrose, T Hashem, S Barua, ME Ali, MH Uddin, MI Mahmud 2015 16th IEEE international conference on mobile data management 1, 122-127, 2015	30	2015
Load aware broadcast in mobile ad hoc networks MT Al Amin, S Barua, S Vhaduri, A Rahman 2009 IEEE International Conference on Communications, 1-5, 2009	29	2009
Dynamic group trip planning queries in spatial databases A Tabassum, S Barua, T Hashem, T Chowdhury Proceedings of the 29th international conference on scientific and …, 2017	22	2017
Quality evaluation of gans using cross local intrinsic dimensionality S Barua, X Ma, SM Erfani, ME Houle, J Bailey arXiv preprint arXiv:1905.00643, 2019	19	2019
Group Trip Scheduling (GTS) Queries in Spatial Databases. R Jahan, T Hashem, S Barua EDBT, 390-401, 2017	16	2017
GOS-IL: A generalized over-sampling based online imbalanced learning framework S Barua, MM Islam, K Murase Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015	10	2015
Weighted optimal sequenced group trip planning queries S Barua, R Jahan, T Ahmed 2017 18th IEEE International Conference on Mobile Data Management (MDM), 222-227, 2017	8	2017
Efficient trip scheduling algorithms for groups R Jahan, T Hashem, FD Salim, S Barua Information Systems 84, 145-173, 2019	5	2019
FCC-GAN: A fully connected and convolutional net architecture for GANs. arXiv 2019 S Barua, SM Erfani, J Bailey arXiv preprint arXiv:1905.02417, 0	5
Towards Improving the Network Architecture of GANs and Their Evaluation Methods S Barua Australia: University of Melbourne, 2019	2	2019

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