Vachik S. Dave

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Personalized Ranking

Gaussian Mixture

Top Venues

Soc. Netw. Anal. Min.

Publications

Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis
The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). WSDM (2024)
Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen
3rd Workshop on Online and Adaptive Recommender Systems (OARS). KDD (2023)
Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis
The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). WWW (Companion Volume) (2023)
Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem
2nd Workshop on Online and Adaptive Recommender Systems (OARS). KDD (2022)
Vachik S. Dave, Mohammad Al Hasan
Triangle Completion Time Prediction Using Time-Conserving Embedding. ECML/PKDD (1) (2019)
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) (2019)
Kamlesh Dutta, Varun Gupta, Vachik S. Dave
Analysis and Comparison of Neural Network Models for Software Development Effort Estimation. J. Cases Inf. Technol. 21 (2) (2019)
Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan
Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter. JCDL (2019)
Aljohara Almulhim, Vachik S. Dave, Mohammad Al Hasan
Network Alignment Using Graphlet Signature and High Order Proximity. LOD (2019)
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
Neural-brane: an inductive approach for attributed network embedding. ASONAM (2019)
Vachik S. Dave, Mohammad Al Hasan, Baichuan Zhang, Chandan K. Reddy
for reciprocal link creation using survival analysis. Soc. Netw. Anal. Min. 8 (1) (2018)
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)
Mohammad Al Hasan, Vachik S. Dave
Triangle counting in large networks: a review. WIREs Data Mining Knowl. Discov. 8 (2) (2018)
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. CoRR (2018)
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)
Vachik S. Dave, Nesreen K. Ahmed, Mohammad Al Hasan
E-CLoG: Counting edge-centric local graphlets. IEEE BigData (2017)
Qiaoling Liu, Faizan Javed, Vachik S. Dave, Ankita Joshi
Supporting Employer Name Normalization at both Entity and Cluster Level. KDD (2017)
Baichuan Zhang, Noman Mohammed, Vachik S. Dave, Mohammad Al Hasan
Feature Selection for Classification under Anonymity Constraint. Trans. Data Priv. 10 (1) (2017)
Vachik S. Dave, Mohammad Al Hasan
TopCom: Index for Shortest Distance Query in Directed Graph. CoRR (2016)
Vachik S. Dave, Mohammad Al Hasan
TopCom: Index for Shortest Distance Query in Directed Graph. DEXA (1) (2015)
Baichuan Zhang, Vachik S. Dave, Mohammad Al Hasan
Feature Selection for Classification under Anonymity Constraint. CoRR (2015)
Vachik S. Dave, Kamlesh Dutta
Neural network based models for software effort estimation: a review. Artif. Intell. Rev. 42 (2) (2014)
Vachik S. Dave, Kamlesh Dutta
Comparison of regression model, feed-forward neural network and radial basis neural network for software development effort estimation. ACM SIGSOFT Softw. Eng. Notes 36 (5) (2011)