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ORCIDMansurul Bhuiyan
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2020 – today
- 2020
[j8]Aparna Moitra, Naeemul Hassan
, Manash Kumar Mandal, Mansurul Bhuiyan, Syed Ishtiaque Ahmed:
Understanding the Challenges for Bangladeshi Women to Participate in #MeToo Movement. Proc. ACM Hum. Comput. Interact. 4(GROUP): 15:1-15:25 (2020)
2010 – 2019
- 2019
- [j7]Shereen Oraby, Mansurul Bhuiyan, Pritam Gundecha, Jalal Mahmud, Rama Akkiraju:
Modeling and Computational Characterization of Twitter Customer Service Conversations. ACM Trans. Interact. Intell. Syst. 9(2-3): 18:1-18:28 (2019) - [c15]Naeemul Hassan, Manash Kumar Mandal, Mansurul Bhuiyan, Aparna Moitra, Syed Ishtiaque Ahmed:
Can women break the glass ceiling?: an analysis of #MeToo hashtagged posts on Twitter. ASONAM 2019: 653-656 - [c14]Naeemul Hassan, Manash Kumar Mandal, Mansurul Bhuiyan, Aparna Moitra, Syed Ishtiaque Ahmed:
Nonparticipation of bangladeshi women in #MeToo movement. ICTD 2019: 29:1-29:5 - [c13]Amita Misra, Mansurul Bhuiyan, Jalal Mahmud, Saurabh Tripathy:
Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations. WASSA@NAACL-HLT 2019: 46-56 - [i6]Naeemul Hassan, Manash Kumar Mandal, Mansurul Bhuiyan, Aparna Moitra, Syed Ishtiaque Ahmed:
Can Women Break the Glass Ceiling?: An Analysis of #MeToo Hashtagged Posts on Twitter. CoRR abs/1906.00896 (2019) - [i5]Amita Misra, Mansurul Bhuiyan, Jalal Mahmud, Saurabh Tripathy:
Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations. CoRR abs/1906.04706 (2019) - 2018
- [j6]Mansurul Bhuiyan, Mohammad Al Hasan:
Representing Graphs as Bag of Vertices and Partitions for Graph Classification. Data Sci. Eng. 3(2): 150-165 (2018) - [i4]Mansurul Bhuiyan, Amita Misra, Saurabh Tripathy, Jalal Mahmud, Rama Akkiraju:
Don't get Lost in Negation: An Effective Negation Handled Dialogue Acts Prediction Algorithm for Twitter Customer Service Conversations. CoRR abs/1807.06107 (2018) - 2017
- [j5]Ishita K. Khan, Mansurul Bhuiyan, Daisuke Kihara:
DextMP: deep dive into text for predicting moonlighting proteins. Bioinform. 33(14): i83-i91 (2017) - [c12]Mansurul Alam Bhuiyan, Mohammad Al Hasan:
RAVEN: Web-based smart home exploration system through interactive pattern discovery. IEEE BigData 2017: 1390-1399 - [c11]Shereen Oraby, Pritam Gundecha, Jalal Mahmud, Mansurul Bhuiyan, Rama Akkiraju:
"How May I Help You?": Modeling Twitter Customer ServiceConversations Using Fine-Grained Dialogue Acts. IUI 2017: 343-355 - [i3]Shereen Oraby, Pritam Gundecha, Jalal Mahmud, Mansurul Bhuiyan, Rama Akkiraju:
"How May I Help You?": Modeling Twitter Customer Service Conversations Using Fine-Grained Dialogue Acts. CoRR abs/1709.05413 (2017) - 2016
- [b1]Mansurul Bhuiyan:
Generic frameworks for interactive personalized interesting pattern discovery. Purdue University, USA, 2016 - [j4]Mansurul Bhuiyan, Mohammad Al Hasan:
Interactive knowledge discovery from hidden data through sampling of frequent patterns. Stat. Anal. Data Min. 9(4): 205-229 (2016) - [c10]Mansurul Alam Bhuiyan, Mohammad Al Hasan:
PRIIME: A generic framework for interactive personalized interesting pattern discovery. IEEE BigData 2016: 606-615 - [c9]Mansurul Alam Bhuiyan, Mohammad Al Hasan:
Interactive personalized interesting pattern discovery. IEEE BigData 2016: 3450-3456 - [c8]Mansurul Bhuiyan, Mohammad Al Hasan:
Waiting to Be Sold: Prediction of Time-Dependent House Selling Probability. DSAA 2016: 468-477 - [i2]Mansurul Bhuiyan, Mohammad Al Hasan:
PRIIME: A Generic Framework for Interactive Personalized Interesting Pattern Discovery. CoRR abs/1607.05749 (2016) - 2015
- [j3]Mansurul Bhuiyan, Mohammad Al Hasan:
An Iterative MapReduce Based Frequent Subgraph Mining Algorithm. IEEE Trans. Knowl. Data Eng. 27(3): 608-620 (2015) - 2014
- [j2]Mahmudur Rahman, Mansurul Alam Bhuiyan, Mahmuda Rahman, Mohammad Al Hasan:
GUISE: a uniform sampler for constructing frequency histogram of graphlets. Knowl. Inf. Syst. 38(3): 511-536 (2014) - [j1]Mahmudur Rahman, Mansurul Alam Bhuiyan, Mohammad Al Hasan:
Graft: An Efficient Graphlet Counting Method for Large Graph Analysis. IEEE Trans. Knowl. Data Eng. 26(10): 2466-2478 (2014) - [c7]Mansurul Bhuiyan, Mohammad Al Hasan:
FSM-H: Frequent Subgraph Mining Algorithm in Hadoop. BigData Congress 2014: 9-16 - [c6]Aziz Mohaisen, Mansurul Bhuiyan, Yannis Labrou:
Name Server Switching: Anomaly Signatures, Usage, Clustering, and Prediction. WISA 2014: 202-215 - [p1]Charu C. Aggarwal, Mansurul Bhuiyan, Mohammad Al Hasan:
Frequent Pattern Mining Algorithms: A Survey. Frequent Pattern Mining 2014: 19-64 - 2013
- [c5]Mansurul Bhuiyan, Aziz Mohaisen, Yannis Labrou, Mohammad Al Hasan:
Characterization of the dynamics and interactions of domain names and name server. CNS 2013: 387-388 - [i1]Mansurul Bhuiyan, Mohammad Al Hasan:
MIRAGE: An Iterative MapReduce based FrequentSubgraph Mining Algorithm. CoRR abs/1307.5894 (2013) - 2012
- [c4]Mansurul Bhuiyan, Snehasis Mukhopadhyay, Mohammad Al Hasan:
Interactive pattern mining on hidden data: a sampling-based solution. CIKM 2012: 95-104 - [c3]Mahmudur Rahman, Mansurul Bhuiyan, Mohammad Al Hasan:
GRAFT: an approximate graphlet counting algorithm for large graph analysis. CIKM 2012: 1467-1471 - [c2]Mansurul Bhuiyan, Mahmudur Rahman, Mahmuda Rahman, Mohammad Al Hasan:
GUISE: Uniform Sampling of Graphlets for Large Graph Analysis. ICDM 2012: 91-100 - 2010
- [c1]Syed Ishtiaque Ahmed, Md. Mansurul Alam Bhuiyan, Masud Hasan, Ishita Kamal Khan:
On Finding a Better Position of a Convex Polygon Inside a Circle to Minimize the Cutting Cost. WALCOM 2010: 252-262
Coauthor Index
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