Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMohammad Al Hasan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j32]Md. Ahsanul Kabir, Aljohara Almulhim, Xiao Luo, Mohammad Al Hasan
:
Informative Causality Extraction from Medical Literature via Dependency-Tree-Based Patterns. J. Heal. Informatics Res. 6(3): 295-316 (2022)- [j31]Jun Zhuang, Mohammad Al Hasan:
How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks? Neural Process. Lett. 54(4): 2997-3018 (2022) - [j30]Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Reliability Maximization in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 34(2): 894-913 (2022) - [c61]Jun Zhuang, Mohammad Al Hasan:
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision. AAAI 2022: 4405-4413 - [c60]Jun Zhuang, Mohammad Al Hasan:
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. CIKM 2022: 2795-2805 - [c59]Jun Zhuang, Mohammad Al Hasan:
Deperturbation of Online Social Networks via Bayesian Label Transition. SDM 2022: 603-611 - [e2]Mohammad Al Hasan, Li Xiong:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. ACM 2022, ISBN 978-1-4503-9236-5 [contents] - [i26]Jun Zhuang, Mohammad Al Hasan:
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision. CoRR abs/2203.03762 (2022) - [i25]Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal, Daniel Tunkelang, Zhe Wu:
ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction. CoRR abs/2203.06591 (2022) - [i24]Md. Ahsanul Kabir, Aljohara Almulhim, Xiao Luo, Mohammad Al Hasan:
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns. CoRR abs/2203.06592 (2022) - [i23]Jun Zhuang, Mohammad Al Hasan:
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. CoRR abs/2208.09779 (2022) - 2021
- [j29]Saeed Salem, Mohammed Alokshiya, Mohammad Al Hasan:
RASMA: a reverse search algorithm for mining maximal frequent subgraphs. BioData Min. 14(1): 19 (2021) - [j28]Nazmuzzaman Khan, Mohammad Al Hasan, Sohel Anwar:
Improving the Robustness of Object Detection Through a Multi-Camera-Based Fusion Algorithm Using Fuzzy Logic. Frontiers Artif. Intell. 4: 638951 (2021) - [j27]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Learning network event sequences using long short-term memory and second-order statistic loss. Stat. Anal. Data Min. 14(1): 61-73 (2021) - [c58]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Source detection on networks using spatial temporal graph convolutional networks. DSAA 2021: 1-11 - [c57]Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Reliability Maximization in Uncertain Graphs (Extended Abstract). ICDE 2021: 2332-2333 - [c56]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction Using Conditional Variational Autoencoder. ICWSM 2021: 656-667 - [c55]Nyalia Lui, Mohammad Al Hasan, James H. Hill:
Real-time Detection of the More is Less Performance Anti-Pattern in MySQL Databases. ISORC 2021: 71-78 - [c54]Rashed Doha, Mohammad Al Hasan, Sohel Anwar, Veera Rajendran:
Deep Learning based Crop Row Detection with Online Domain Adaptation. KDD 2021: 2773-2781 - [c53]Jun Zhuang, Mohammad Al Hasan:
Non-exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks. ECML/PKDD (2) 2021: 3-18 - [i22]Md. Ahsanul Kabir, Typer Phillips, Xiao Luo, Mohammad Al Hasan:
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context. CoRR abs/2104.01523 (2021) - [i21]Jun Zhuang, Mohammad Al Hasan:
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks. CoRR abs/2106.14344 (2021) - 2020
- [j26]Samira Khorshidi, Mohammad Al Hasan, George O. Mohler, Martin B. Short:
The Role of Graphlets in Viral Processes on Networks. J. Nonlinear Sci. 30(5): 2309-2324 (2020) - [c52]Johnson Wong, Hao Sha, Mohammad Al Hasan, George O. Mohler, Steve Becker, Curtis Wiltse:
Automated Corn Ear Height Prediction Using Video-Based Deep Learning. IEEE BigData 2020: 2371-2374 - [c51]Hao Sha, Mohammad Al Hasan, Jeremy G. Carter, George O. Mohler:
Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization. IEEE BigData 2020: 3228-3236 - [c50]Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham:
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. ICWSM Workshops 2020 - [i20]Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham:
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. CoRR abs/2004.11692 (2020) - [i19]Jun Zhuang, Mohammad Al Hasan:
Anti-perturbation of Online Social Networks by Graph Label Transition. CoRR abs/2010.14121 (2020)
2010 – 2019
- 2019
- [j25]Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan:
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. Data Sci. Eng. 4(2): 119-131 (2019) - [j24]Tanay Kumar Saha, Ataur Katebi, Wajdi Dhifli, Mohammad Al Hasan:
Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins Using Frequent Subgraph Mining. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1537-1549 (2019) - [j23]Tianchong Gao, Wei Peng, Devkishen Sisodia, Tanay Kumar Saha, Feng Li, Mohammad Al Hasan:
Android Malware Detection via Graphlet Sampling. IEEE Trans. Mob. Comput. 18(12): 2754-2767 (2019) - [c49]Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan:
Neural-brane: an inductive approach for attributed network embedding. ASONAM 2019: 212-215 - [c48]Theo Carr, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu, Mohammad Al Hasan, George O. Mohler:
Into the Reverie: Exploration of the Dream Market. IEEE BigData 2019: 1432-1441 - [c47]Andrew Stanhope, Hao Sha, Danielle Barman, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction. IEEE BigData 2019: 3045-3052 - [c46]Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan:
Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter. JCDL 2019: 269-278 - [c45]John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler:
Investigate Transitions into Drug Addiction through Text Mining of Reddit Data. KDD 2019: 2367-2375 - [c44]Jun Zhuang, Mingchen Gao, Mohammad Al Hasan:
Lighter U-net for segmenting white matter hyperintensities in MR images. MobiQuitous 2019: 535-539 - [c43]Aljohara Almulhim, Vachik S. Dave, Mohammad Al Hasan:
Network Alignment Using Graphlet Signature and High Order Proximity. LOD 2019: 130-142 - [c42]Vachik S. Dave, Mohammad Al Hasan:
Triangle Completion Time Prediction Using Time-Conserving Embedding. ECML/PKDD (1) 2019: 541-557 - [c41]Xucan Chen, Mohammad Al Hasan, Xintao Wu, Pavel Skums, Mohammad Javad Feizollahi, Marie Ouellet, Eric L. Sevigny, David Maimon, Yubao Wu:
Characteristics of Bitcoin Transactions on Cryptomarkets. SpaCCS 2019: 261-276 - [i18]John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler:
Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction. CoRR abs/1903.04081 (2019) - [i17]Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Budgeted Reliability Maximization in Uncertain Graphs. CoRR abs/1903.08587 (2019) - 2018
- [j22]Mansurul Bhuiyan, Mohammad Al Hasan:
Representing Graphs as Bag of Vertices and Partitions for Graph Classification. Data Sci. Eng. 3(2): 150-165 (2018) - [j21]Mohammad Al Hasan, Faizan Javed, Ioana E. Marinescu:
Special Issue Editorial. Data Sci. Eng. 3(3): 197-198 (2018) - [j20]Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen:
GPU Accelerated Browser for Neuroimaging Genomics. Neuroinformatics 16(3-4): 393-402 (2018) - [j19]Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan:
Incremental eigenpair computation for graph Laplacian matrices: theory and applications. Soc. Netw. Anal. Min. 8(1): 4:1-4:17 (2018) - [j18]Vachik S. Dave, Mohammad Al Hasan, Baichuan Zhang, Chandan K. Reddy:
Predicting interval time for reciprocal link creation using survival analysis. Soc. Netw. Anal. Min. 8(1): 16 (2018) - [j17]Mohammad Al Hasan, Vachik S. Dave:
Triangle counting in large networks: a review. WIREs Data Mining Knowl. Discov. 8(2) (2018) - [c40]Andrew Baas, Frances Hung, Hao Sha, Mohammad Al Hasan, George O. Mohler:
Predicting Virality on Networks Using Local Graphlet Frequency Distribution. IEEE BigData 2018: 2475-2482 - [c39]Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem:
A Combined Representation Learning Approach for Better Job and Skill Recommendation. CIKM 2018: 1997-2005 - [i16]Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan:
Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications. CoRR abs/1801.08196 (2018) - [i15]Mahmudur Rahman, Tanay Kumar Saha, Mohammad Al Hasan, Kevin S. Xu, Chandan K. Reddy:
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks. CoRR abs/1804.05755 (2018) - [i14]Tanay Kumar Saha, Thomas Williams, Mohammad Al Hasan, Shafiq R. Joty, Nicholas K. Varberg:
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes. CoRR abs/1804.05816 (2018) - [i13]Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan:
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. CoRR abs/1804.08774 (2018) - 2017
- [j16]Baichuan Zhang, Noman Mohammed, Vachik S. Dave, Mohammad Al Hasan:
Feature Selection for Classification under Anonymity Constraint. Trans. Data Priv. 10(1): 1-25 (2017) - [c38]Vachik S. Dave, Nesreen K. Ahmed, Mohammad Al Hasan:
E-CLoG: Counting edge-centric local graphlets. IEEE BigData 2017: 586-595 - [c37]Aritra Mandal, Mohammad Al Hasan:
A distributed k-core decomposition algorithm on spark. IEEE BigData 2017: 976-981 - [c36]Mansurul Alam Bhuiyan, Mohammad Al Hasan:
RAVEN: Web-based smart home exploration system through interactive pattern discovery. IEEE BigData 2017: 1390-1399 - [c35]Tanay Kumar Saha, Shafiq R. Joty, Naeemul Hassan, Mohammad Al Hasan:
Regularized and Retrofitted models for Learning Sentence Representation with Context. CIKM 2017: 547-556 - [c34]Baichuan Zhang, Mohammad Al Hasan:
Name Disambiguation in Anonymized Graphs using Network Embedding. CIKM 2017: 1239-1248 - [c33]Vachik S. Dave, Mohammad Al Hasan, Chandan K. Reddy:
How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation. ICWSM 2017: 508-511 - [c32]Darshan Sangani, Kelby Erickson, Mohammad Al Hasan:
Predicting Zillow Estimation Error Using Linear Regression and Gradient Boosting. MASS 2017: 530-534 - [c31]Tanay Kumar Saha, Shafiq R. Joty, Mohammad Al Hasan:
Con-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec. ECML/PKDD (1) 2017: 753-769 - [i12]Baichuan Zhang, Mohammad Al Hasan:
Name Entity Disambiguation in Anonymized Graphs using Link Analysis: A Network Embedding based Solution. CoRR abs/1702.02287 (2017) - [i11]Baichuan Zhang, Murat Dundar, Mohammad Al Hasan:
Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation. CoRR abs/1708.04531 (2017) - 2016
- [j15]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) - [c30]Mansurul Alam Bhuiyan, Mohammad Al Hasan:
PRIIME: A generic framework for interactive personalized interesting pattern discovery. IEEE BigData 2016: 606-615 - [c29]Mansurul Alam Bhuiyan, Mohammad Al Hasan:
Interactive personalized interesting pattern discovery. IEEE BigData 2016: 3450-3456 - [c28]Baichuan Zhang, Murat Dundar, Mohammad Al Hasan:
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CIKM 2016: 1341-1350 - [c27]Wei Peng, Tianchong Gao, Devkishen Sisodia, Tanay Kumar Saha, Feng Li, Mohammad Al Hasan:
ACTS: Extracting Android App topologiCal signature through graphleT Sampling. CNS 2016: 37-45 - [c26]Mansurul Bhuiyan, Mohammad Al Hasan:
Waiting to Be Sold: Prediction of Time-Dependent House Selling Probability. DSAA 2016: 468-477 - [c25]Mahmudur Rahman, Mohammad Al Hasan:
Link Prediction in Dynamic Networks Using Graphlet. ECML/PKDD (1) 2016: 394-409 - [i10]Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan, Xia Ning, Khushbu Agarwal, Sumit Purohit, Paola Gabriela Pesntez Cabrera:
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs. CoRR abs/1601.03778 (2016) - [i9]Vachik S. Dave, Mohammad Al Hasan:
TopCom: Index for Shortest Distance Query in Directed Graph. CoRR abs/1602.01537 (2016) - [i8]Baichuan Zhang, Murat Dundar, Mohammad Al Hasan:
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CoRR abs/1607.05746 (2016) - [i7]Mansurul Bhuiyan, Mohammad Al Hasan:
PRIIME: A Generic Framework for Interactive Personalized Interesting Pattern Discovery. CoRR abs/1607.05749 (2016) - [i6]Tanay Kumar Saha, Shafiq R. Joty, Naeemul Hassan, Mohammad Al Hasan:
Dis-S2V: Discourse Informed Sen2Vec. CoRR abs/1610.08078 (2016) - 2015
- [j14]Tanay Kumar Saha, Mohammad Al Hasan:
FS3: A sampling based method for top-k frequent subgraph mining. Stat. Anal. Data Min. 8(4): 245-261 (2015) - [j13]Tanay Kumar Saha, Baichuan Zhang, Mohammad Al Hasan:
Name disambiguation from link data in a collaboration graph using temporal and topological features. Soc. Netw. Anal. Min. 5(1): 11:1-11:14 (2015) - [j12]Mansurul Bhuiyan, Mohammad Al Hasan:
An Iterative MapReduce Based Frequent Subgraph Mining Algorithm. IEEE Trans. Knowl. Data Eng. 27(3): 608-620 (2015) - [c24]Tanay Kumar Saha, Mohammad Al Hasan, Chandler Burgess, Md. Ahsan Habib, Jeff Johnson:
Batch-mode active learning for technology-assisted review. IEEE BigData 2015: 1134-1143 - [c23]Tanay Kumar Saha, Mohammad Al Hasan:
Finding Network Motifs Using MCMC Sampling. CompleNet 2015: 13-24 - [c22]Vachik S. Dave, Mohammad Al Hasan:
TopCom: Index for Shortest Distance Query in Directed Graph. DEXA (1) 2015: 471-480 - [i5]Baichuan Zhang, Vachik S. Dave, Mohammad Al Hasan:
Feature Selection for Classification under Anonymity Constraint. CoRR abs/1512.07158 (2015) - [i4]Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan, Alfred O. Hero III:
Incremental Method for Spectral Clustering of Increasing Orders. CoRR abs/1512.07349 (2015) - 2014
- [j11]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) - [j10]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) - [c21]Baichuan Zhang, Tanay Kumar Saha, Mohammad Al Hasan:
Name disambiguation from link data in a collaboration graph. ASONAM 2014: 81-84 - [c20]Mansurul Bhuiyan, Mohammad Al Hasan:
FSM-H: Frequent Subgraph Mining Algorithm in Hadoop. BigData Congress 2014: 9-16 - [c19]Tanay Kumar Saha, Mohammad Al Hasan:
FS3: A sampling based method for top-k frequent subgraph mining. IEEE BigData 2014: 72-79 - [c18]Mahmudur Rahman, Mohammad Al Hasan:
Sampling Triples from Restricted Networks using MCMC Strategy. CIKM 2014: 1519-1528 - [p4]Mohammad Al Hasan:
Discrete Sequence Clustering. Data Classification: Algorithms and Applications 2014: 379-398 - [p3]Charu C. Aggarwal, Mansurul Bhuiyan, Mohammad Al Hasan:
Frequent Pattern Mining Algorithms: A Survey. Frequent Pattern Mining 2014: 19-64 - [i3]Baichuan Zhang, Tanay Kumar Saha, Mohammad Al Hasan:
Name Disambiguation from link data in a collaboration graph. CoRR abs/1406.5162 (2014) - [i2]Tanay Kumar Saha, Mohammad Al Hasan:
FS^3: A Sampling based method for top-k Frequent Subgraph Mining. CoRR abs/1409.1152 (2014) - 2013
- [c17]Mahmudur Rahman, Mohammad Al Hasan:
Approximate triangle counting algorithms on multi-cores. IEEE BigData 2013: 127-133 - [c16]Nish Parikh, Prasad Sriram, Mohammad Al Hasan:
On segmentation of eCommerce queries. CIKM 2013: 1137-1146 - [c15]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 - [c14]Manjula Peiris, Mohammad Al Hasan, James H. Hill:
Auto-constructing dataflow models from system execution traces. ISORC 2013: 1-10 - [p2]Chandan K. Reddy, Mohammad Al Hasan, Mohammed J. Zaki:
Clustering Biological Data. Data Clustering: Algorithms and Applications 2013: 381-414 - [i1]Mansurul Bhuiyan, Mohammad Al Hasan:
MIRAGE: An Iterative MapReduce based FrequentSubgraph Mining Algorithm. CoRR abs/1307.5894 (2013) - 2012
- [j9]Mohammad Al Hasan, Jun Huan, Jake Yue Chen, Mohammed J. Zaki:
Biological knowledge discovery and data mining. Sci. Program. 20(1): 1-2 (2012) - [c13]Mansurul Bhuiyan, Snehasis Mukhopadhyay, Mohammad Al Hasan:
Interactive pattern mining on hidden data: a sampling-based solution. CIKM 2012: 95-104 - [c12]Mahmudur Rahman, Mansurul Bhuiyan, Mohammad Al Hasan:
GRAFT: an approximate graphlet counting algorithm for large graph analysis. CIKM 2012: 1467-1471 - [c11]Mansurul Bhuiyan, Mahmudur Rahman, Mahmuda Rahman, Mohammad Al Hasan:
GUISE: Uniform Sampling of Graphlets for Large Graph Analysis. ICDM 2012: 91-100 - 2011
- [j8]Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki:
SimClus: an effective algorithm for clustering with a lower bound on similarity. Knowl. Inf. Syst. 28(3): 665-685 (2011) - [c10]Mohammad Al Hasan, Nish Parikh, Gyanit Singh, Neel Sundaresan:
Query suggestion for E-commerce sites. WSDM 2011: 765-774 - [p1]Mohammad Al Hasan, Mohammed J. Zaki:
A Survey of Link Prediction in Social Networks. Social Network Data Analytics 2011: 243-275 - [e1]Mohammed J. Zaki, Jake Yue Chen, Mohammad Al Hasan, Jun Huan:
Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics, BIOKDD '11, San Diego, California, USA, August 21, 2011. ACM 2011, ISBN 978-1-4503-0839-7 [contents] - 2010
- [j7]Mohammad Al Hasan:
Mining interesting subgraphs by output space sampling. SIGKDD Explor. 12(1): 73-74 (2010) - [c9]Mohammad Al Hasan, Hilmi Yildirim, Abhirup Chakraborty:
SONNET: Efficient Approximate Nearest Neighbor Using Multi-core. ICDM 2010: 719-724
2000 – 2009
- 2009
- [b1]Mohammad Al Hasan:
Mining interesting subgraphs by output space sampling. Rensselaer Polytechnic Institute, USA, 2009 - [j6]Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki:
SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters. Knowl. Inf. Syst. 21(2): 201-229 (2009) - [j5]Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Mohammed J. Zaki:
Robust partitional clustering by outlier and density insensitive seeding. Pattern Recognit. Lett. 30(11): 994-1002 (2009) - [j4]Mohammad Al Hasan, Mohammed J. Zaki:
Output Space Sampling for Graph Patterns. Proc. VLDB Endow. 2(1): 730-741 (2009) - [c8]Mohammad Al Hasan, W. Scott Spangler, Thomas D. Griffin, Alfredo Alba:
COA: finding novel patents through text analysis. KDD 2009: 1175-1184 - [c7]Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi, Mohammed J. Zaki:
Clustering with Lower Bound on Similarity. PAKDD 2009: 122-133 - [c6]Mohammad Al Hasan, Mohammed Javeed Zaki:
MUSK: Uniform Sampling of k Maximal Patterns. SDM 2009: 650-661 - [r1]