[8] | Investigate Transitions into Drug Addiction through Text Mining of Reddit Data (John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George Moher), In Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, 2019. |
[7] | Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter (Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan), In Proceedings of ACM Joint Conference on Digital Libraries (JCDL), ACM, 2019. |
[6] | Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins using Frequent Subgraph Mining (Tanay Kumar Saha, Ataur Katebi, wajdi Dhifli, Mohammad Al Hasan), In IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE, 2019. |
[5] | Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding (Vachik Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan), In Data Science and Engineering, volume 4, 2019. |
[4] | Neural-Brane: An Inductive Approach for Attributed Network Embedding (Vachik Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan), In 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019, Vancouver, Canada, 2019. |
[3] | Triangle Completion Time Prediction using Time-conserving Embedding (Vachik Dave, Mohammad Al Hasan), In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019, Proceedings, Part I, 2019. |
[2] | Into the Reverie: Exploration of the Dream Market (Theo Car, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu, Mohammad Al Hasan, George Mohler), In 2019 IEEE International Conference on Big Data, Los Angeles, CA, USA, 2019. |
[1] | Network Alignment using Graphlet Signature and High Order Proximity (Aljohara Fahad Almulhim, Vachik Dave, Mohammad Al Hasan), In Proc. of Fifth International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, Tuscany, Italy, September 10-13, 2019. |
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