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2020 – today
- 2024
[j36]Nazmuzzaman Khan, Adibuzzaman Rahi, Veera Rajendran, Mohammad Al Hasan, Sohel Anwar:
Real-time crop row detection using computer vision- application in agricultural robots. Frontiers Artif. Intell. 7 (2024)- [j35]Thushara Manjari Naduvilakandy, Hyeju Jang, Mohammad Al Hasan:
Unsupervised hypernymy directionality prediction using context terms. Nat. Lang. Process. J. 9: 100118 (2024) - [c65]Croix Gyurek
, Niloy Talukder, Mohammad Al Hasan:
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors. KDD 2024: 980-991 - [i29]Croix Gyurek, Niloy Talukder, Mohammad Al Hasan:
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors. CoRR abs/2404.10924 (2024) - 2023
- [j34]Md. Ahsanul Kabir, Tyler Phillips, Xiao Luo, Mohammad Al Hasan:
ASPER: Attention-based approach to extract syntactic patterns denoting semantic relations in sentential context. Nat. Lang. Process. J. 3: 100011 (2023) - [j33]Mohammad Al Hasan, Li Xiong:
CIKM 2022 Conference Report. SIGWEB Newsl. 2023(Spring): 2:1-2:4 (2023) - [c64]Hamidreza Lotfalizadeh, Mohammad Al Hasan:
Force-directed graph embedding with hops distance. IEEE Big Data 2023: 2946-2953 - [c63]Michael J. Nelson, Md Nour Hossain, Mohammad Al Hasan, Enamul Haque:
A Semi-Automatic Knowledge Discovery Tool to Identify and Visualize Course Bottlenecks. FIE 2023: 1-5 - [i28]Hamidreza Lotfalizadeh, Mohammad Al Hasan:
Force-directed graph embedding with hops distance. CoRR abs/2309.05865 (2023) - [i27]Jun Zhuang, Mohammad Al Hasan:
Robust Node Representation Learning via Graph Variational Diffusion Networks. CoRR abs/2312.10903 (2023) - 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) - [c62]Jun Zhuang, Mohammad Al Hasan:
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision. AAAI 2022: 4405-4413 - [c61]Rashed Doha, Mohammad Al Hasan, Sohel Anwar:
Semantic Segmentation Approaches in Crop Row Detection. IEEE Big Data 2022: 2224-2230 - [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, Tyler 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]Mohammad Al Hasan:
Summarization in Pattern Mining. Encyclopedia of Data Warehousing and Mining 2009: 1877-1883 - 2008
- [j3]Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed Javeed Zaki:
An integrated, generic approach to pattern mining: data mining template library. Data Min. Knowl. Discov. 17(3): 457-495 (2008) - [j2]Mohammad Al Hasan, Krishna K. Ramachandran, John E. Mitchell:
Optimal placement of stereo sensors. Optim. Lett. 2(1): 99-111 (2008) - [j1]Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Jérémy Besson, Mohammed J. Zaki:
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Stat. Anal. Data Min. 1(2): 67-84 (2008) - [c5]Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki:
SPARCL: Efficient and Effective Shape-Based Clustering. ICDM 2008: 93-102 - 2007
- [c4]Mohammad Al Hasan, W. Scott Spangler:
Assessing patent value through advanced text analysis. ICAIL 2007: 191-192 - [c3]Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jérémy Besson, Mohammed Javeed Zaki:
ORIGAMI: Mining Representative Orthogonal Graph Patterns. ICDM 2007: 153-162 - 2005
- [c2]Mohammed Javeed Zaki, Nagender Parimi, Nilanjana De, Feng Gao, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem:
Towards Generic Pattern Mining. ICFCA 2005: 1-20 - [c1]Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Nagender Parimi, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem:
Towards Generic Pattern Mining. PReMI 2005: 91-97
Coauthor Index
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last updated on 2024-11-27 21:25 CET by the dblp team
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