Neural network based models for software effort estimation: a review VS Dave, K Dutta Artificial Intelligence Review 42 (2), 295-307, 2014 | 169 | 2014 |
Triangle counting in large networks: a review M Al Hasan, VS Dave Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (2 …, 2018 | 118 | 2018 |
A combined representation learning approach for better job and skill recommendation VS Dave, B Zhang, M Al Hasan, K AlJadda, M Korayem Proceedings of the 27th ACM International Conference on Information and …, 2018 | 94 | 2018 |
Neural-brane: Neural bayesian personalized ranking for attributed network embedding VS Dave, B Zhang, PY Chen, MA Hasan Data Science and Engineering 4 (2), 119-131, 2019 | 31 | 2019 |
Feature selection for classification under anonymity constraint B Zhang, N Mohammed, VS Dave, MA Hasan Transactions on Data Privacy 10 (1), 1-25, 2017 | 31 | 2017 |
E-CLoG: Counting Edge-Centric Local Graphlets VS Dave, NK Ahmed, M Al Hasan IEEE International Conference on Big Data (Big Data), 586-595, 2017 | 24 | 2017 |
Comparison of regression model, feed-forward neural network and radial basis neural network for software development effort estimation VS Dave, K Dutta ACM SIGSOFT Software Engineering Notes 36 (5), 1-5, 2011 | 24 | 2011 |
Neural network based software effort estimation & evaluation criterion MMRE VS Dave, K Dutta 2011 2nd International Conference on Computer and Communication Technology …, 2011 | 20 | 2011 |
Application of feed-forward neural network in estimation of software effort VS Dave, K Dutta IJCA proceedings on international symposium on devices mems, intelligent …, 2011 | 17 | 2011 |
Predicting interval time for reciprocal link creation using survival analysis VS Dave, MA Hasan, B Zhang, CK Reddy Social Network Analysis and Mining 8, 1-20, 2018 | 13 | 2018 |
Supporting employer name normalization at both entity and cluster level Q Liu, F Javed, VS Dave, A Joshi Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 13 | 2017 |
Analysis and comparison of neural network models for software development effort estimation K Dutta, V Gupta, VS Dave Research Anthology on Agile Software, Software Development, and Testing, 165-193, 2022 | 8 | 2022 |
How fast will you get a response? predicting interval time for reciprocal link creation V Dave, M Al Hasan, C Reddy Proceedings of the International AAAI Conference on Web and Social Media 11 …, 2017 | 8 | 2017 |
Dirichlet process Gaussian mixture for active online name disambiguation by particle filter B Zhang, M Dundar, V Dave, M Hasan 2019 ACM/IEEE joint conference on digital libraries (JCDL), 269-278, 2019 | 7 | 2019 |
Topcom: Index for shortest distance query in directed graph VS Dave, MA Hasan Database and Expert Systems Applications: 26th International Conference …, 2015 | 7 | 2015 |
Network alignment using graphlet signature and high order proximity A Almulhim, VS Dave, MA Hasan Machine Learning, Optimization, and Data Science: 5th International …, 2019 | 5 | 2019 |
Triangle completion time prediction using time-conserving embedding VS Dave, M Al Hasan Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 4 | 2020 |
Automated Systems and Methods for Determining Jobs, Skills, and Training Recommendations B Gaspar, K Aljadda, M Korayem, A Chern, P Hoang, R Malony, K Ruel, ... US Patent App. 16/528,467, 2020 | 3 | 2020 |
Bio-inspired multilevel ichb-heed clustering protocol for heterogeneous WSNs P Gupta, HS Pattanayak, LK Awasthi, VS Dave Recent Trends and Best Practices in Industry 4.0, 225-246, 2023 | 1 | 2023 |
Workshop on Online and Adaptative Recommender Systems (OARS) X Cui, E Afshar, K Al-Jadda, S Kumar, J McAuley, T Ye, K Aryafar, V Dave, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 1 | 2021 |