Ahsanul Haque

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 11

Top Topics

Density Ratio Estimation

Data Stream Classification

Drift Detection

Top Venues

Publications

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)
Swarup Chandra, Ahsanul Haque, Hemeng Tao, Jie Liu, Latifur Khan, Charu C. Aggarwal
Ensemble Direct Density Ratio Estimation for Multistream Classification. ICDE (2018)
Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan
A Framework for Multistream Regression With Direct Density Ratio Estimation. AAAI (2018)
Bo Dong, Yifan Li, Yang Gao, Ahsanul Haque, Latifur Khan, Mohammad M. Masud
Multistream regression with asynchronous concept drift detection. IEEE BigData (2017)
Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Bo Dong, Latifur Khan, Kevin W. Hamlen
FUSION: An Online Method for Multistream Classification. CIKM (2017)
Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin W. Hamlen, Charu C. Aggarwal
Efficient Multistream Classification Using Direct Density Ratio Estimation. ICDE (2017)
Ahsanul Haque, Latifur Khan, Michael Baron
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream. AAAI (2016)
Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal
Efficient Sampling-Based Kernel Mean Matching. ICDM (2016)
Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani M. Thuraisingham, Charu C. Aggarwal
Efficient handling of concept drift and concept evolution over Stream Data. ICDE (2016)
Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Yupeng Gao, Latifur Khan, Charu C. Aggarwal
Sampling-based distributed Kernel mean matching using spark. IEEE BigData (2016)
Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal
An Adaptive Framework for Multistream Classification. CIKM (2016)
Ahsanul Haque, Latifur Khan, Michael Baron
Semi Supervised Adaptive Framework for Classifying Evolving Data Stream. PAKDD (2) (2015)
Ahsanul Haque, Swarup Chandra, Latifur Khan, Michael Baron
MapReduce guided approximate inference over graphical models. CIDM (2014)
Ahsanul Haque, Brandon Parker, Latifur Khan, Bhavani M. Thuraisingham
Evolving Big Data Stream Classification with MapReduce. IEEE CLOUD (2014)
Ahmad M. Mustafa, Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani M. Thuraisingham
Evolving stream classification using change detection. CollaborateCom (2014)
Ahsanul Haque, Swarup Chandra, Latifur Khan, Charu C. Aggarwal
Distributed Adaptive Importance Sampling on graphical models using MapReduce. IEEE BigData (2014)
Ahsanul Haque, Latifur Khan
MapReduce Based Frameworks for Classifying Evolving Data Stream. ICDM Workshops (2013)
Ahsanul Haque, Brandon Parker, Latifur Khan, Bhavani M. Thuraisingham
Intelligent MapReduce Based Framework for Labeling Instances in Evolving Data Stream. CloudCom (2) (2013)
Ahsanul Haque, Brandon Parker, Latifur Khan
Labeling Instances in Evolving Data Streams with MapReduce. BigData Congress (2013)
Ahsanul Haque, M. Manzur Murshed, Mortuza Ali
Efficient contention resolution in MAC protocol for periodic data collection in WSNs. IWCMC (2010)