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Ahsanul Haque

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2020 – today

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2024
[c20]
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Anirban Rahut, Vinaykumar Bhat, Abhinav Sharma, Yichen Shen, Bartlomiej Pelc, Chi Li, Ahsanul Haque, Yash Botadra, Xi Wang, Michael Percy, Ritwik Yadav, Yoshinori Matsunobu, Alan Liang, Igor Pozgaj, Tobias Asplund, Anatoly Karp, Luqun Lou, Pushap Goyal:
MyRaft: High Availability in MySQL using Raft. EDBT 2024: 743-752

2010 – 2019

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2018
[c19]
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Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan:
A Framework for Multistream Regression With Direct Density Ratio Estimation. AAAI 2018: 3149-3156
[c18]
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Swarup Chandra, Ahsanul Haque, Hemeng Tao, Jie Liu, Latifur Khan, Charu C. Aggarwal:
Ensemble Direct Density Ratio Estimation for Multistream Classification. ICDE 2018: 1364-1367
2017
[c17]
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Bo Dong, Yifan Li, Yang Gao, Ahsanul Haque, Latifur Khan, Mohammad M. Masud:
Multistream regression with asynchronous concept drift detection. IEEE BigData 2017: 596-605
[c16]
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Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Bo Dong, Latifur Khan, Kevin W. Hamlen:
FUSION: An Online Method for Multistream Classification. CIKM 2017: 919-928
[c15]
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Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin W. Hamlen, Charu C. Aggarwal:
Efficient Multistream Classification Using Direct Density Ratio Estimation. ICDE 2017: 155-158
2016
[c14]
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Ahsanul Haque, Latifur Khan, Michael Baron:
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream. AAAI 2016: 1652-1658
[c13]
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Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Yupeng Gao, Latifur Khan, Charu C. Aggarwal:
Sampling-based distributed Kernel mean matching using spark. IEEE BigData 2016: 462-471
[c12]
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Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal:
An Adaptive Framework for Multistream Classification. CIKM 2016: 1181-1190
[c11]
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Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham, Charu C. Aggarwal:
Efficient handling of concept drift and concept evolution over Stream Data. ICDE 2016: 481-492
[c10]
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Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal:
Efficient Sampling-Based Kernel Mean Matching. ICDM 2016: 811-816
2015
[c9]
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Ahsanul Haque, Latifur Khan, Michael Baron:
Semi Supervised Adaptive Framework for Classifying Evolving Data Stream. PAKDD (2) 2015: 383-394
2014
[c8]
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Ahsanul Haque, Brandon Parker, Latifur Khan, Bhavani Thuraisingham:
Evolving Big Data Stream Classification with MapReduce. IEEE CLOUD 2014: 570-577
[c7]
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Ahsanul Haque, Swarup Chandra, Latifur Khan, Charu C. Aggarwal:
Distributed Adaptive Importance Sampling on graphical models using MapReduce. IEEE BigData 2014: 597-602
[c6]
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Ahsanul Haque, Swarup Chandra, Latifur Khan, Michael Baron:
MapReduce guided approximate inference over graphical models. CIDM 2014: 446-453
[c5]
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  - conf/colcom/MustafaHKBT14
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Ahmad Mustafa, Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham:
Evolving stream classification using change detection. CollaborateCom 2014: 154-162
2013
[c4]
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Ahsanul Haque, Brandon Parker, Latifur Khan:
Labeling Instances in Evolving Data Streams with MapReduce. BigData Congress 2013: 387-394
[c3]
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Ahsanul Haque, Brandon Parker, Latifur Khan, Bhavani Thuraisingham:
Intelligent MapReduce Based Framework for Labeling Instances in Evolving Data Stream. CloudCom (2) 2013: 299-304
[c2]
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Ahsanul Haque, Latifur Khan:
MapReduce Based Frameworks for Classifying Evolving Data Stream. ICDM Workshops 2013: 1113-1120
2010
[c1]
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Ahsanul Haque, M. Manzur Murshed, Mortuza Ali:
Efficient contention resolution in MAC protocol for periodic data collection in WSNs. IWCMC 2010: 437-441

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