Articles with public access mandates - Mohammad Al HasanLearn more
Not available anywhere: 7
Link prediction in dynamic networks using graphlet
M Rahman, MA Hasan
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
Mandates: US National Science Foundation
Predicting zillow estimation error using linear regression and gradient boosting
D Sangani, K Erickson, M Al Hasan
2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems …, 2017
Mandates: US National Science Foundation, US Department of Defense
Semantic Segmentation Approaches in Crop Row Detection
R Doha, M Al Hasan, S Anwar
2022 IEEE International Conference on Big Data (Big Data), 2224-2230, 2022
Mandates: US National Science Foundation
RAVEN: Web-based smart home exploration system through interactive pattern discovery
MA Bhuiyan, M Al Hasan
2017 IEEE International Conference on Big Data (Big Data), 1390-1399, 2017
Mandates: US National Science Foundation
Combination of Transcriptional Signatures and 3D Images of Epithelial Nuclei in Kidney Biopsies Using a Deep-Learning Outlier Detection Model Uncovers Signatures of Injury in …
S Winfree, D Barwinska, J Zhuang, N Talukder, MT Eadon, PC Dagher, ...
Journal of the American Society of Nephrology 33 (11S), 27, 2022
Mandates: US National Institutes of Health
Identifying Diabetic Kidney Disease Signatures in the Nuclei of the Tubular Epithelium Using a Novel Deep Learning Approach: FR-OR12
S Winfree, D Barwinska, N Talukder, MT Eadon, PC Dagher, MA Hasan, ...
Journal of the American Society of Nephrology 32 (10S), 25, 2021
Mandates: US National Institutes of Health
Interactive personalized interesting pattern discovery
MA Bhuiyan, M Al Hasan
2016 IEEE International Conference on Big Data (Big Data), 3450-3456, 2016
Mandates: US National Science Foundation
Available somewhere: 45
A survey of link prediction in social networks
MA Hasan, MJ Zaki
Social network data analytics, 243-275, 2011
Mandates: US National Institutes of Health
Output space sampling for graph patterns
M Al Hasan, MJ Zaki
Proceedings of the VLDB Endowment 2 (1), 730-741, 2009
Mandates: US National Institutes of Health
Pathway and network analysis in proteomics
X Wu, M Al Hasan, JY Chen
Journal of theoretical biology 362, 44-52, 2014
Mandates: US National Institutes of Health
Name disambiguation in anonymized graphs using network embedding
B Zhang, M Al Hasan
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Mandates: US National Science Foundation
Triangle counting in large networks: a review
M Al Hasan, VS Dave
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (2 …, 2018
Mandates: US National Science Foundation
Robust partitional clustering by outlier and density insensitive seeding
M Al Hasan, V Chaoji, S Salem, MJ Zaki
Pattern Recognition Letters 30 (11), 994-1002, 2009
Mandates: US National Institutes of Health
Musk: Uniform Sampling of k Maximal Patterns
M Al Hasan, M Zaki
Proceedings of the 2009 SIAM International Conference on Data Mining, 650-661, 2009
Mandates: US National Institutes of Health
Investigate transitions into drug addiction through text mining of Reddit data
J Lu, S Sridhar, R Pandey, MA Hasan, G Mohler
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Mandates: US National Science Foundation
Bayesian non-exhaustive classification a case study: Online name disambiguation using temporal record streams
B Zhang, M Dundar, M Al Hasan
Proceedings of the 25th acm international on conference on information and …, 2016
Mandates: US National Science Foundation
Android malware detection via graphlet sampling
T Gao, W Peng, D Sisodia, TK Saha, F Li, M Al Hasan
IEEE Transactions on Mobile Computing 18 (12), 2754-2767, 2018
Mandates: US National Science Foundation
SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters
V Chaoji, M Al Hasan, S Salem, MJ Zaki
Knowledge and Information Systems 21 (2), 201-229, 2009
Mandates: US National Institutes of Health
Defending graph convolutional networks against dynamic graph perturbations via bayesian self-supervision
J Zhuang, M Al Hasan
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4405-4413, 2022
Mandates: US National Science Foundation
Simclus: an effective algorithm for clustering with a lower bound on similarity
MA Hasan, S Salem, MJ Zaki
Knowledge and information systems 28, 665-685, 2011
Mandates: US National Institutes of Health
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