The IncP-1 plasmid backbone adapts to different host bacterial species and evolves through homologous recombination P Norberg, M Bergström, V Jethava, D Dubhashi, M Hermansson Nature communications 2 (1), 268, 2011 | 140 | 2011 |
Entity disambiguation in anonymized graphs using graph kernels L Hermansson, T Kerola, F Johansson, V Jethava, D Dubhashi Proceedings of the 22nd ACM international conference on Information …, 2013 | 71 | 2013 |
Global graph kernels using geometric embeddings F Johansson, V Jethava, D Dubhashi, C Bhattacharyya International Conference on Machine Learning, 694-702, 2014 | 70 | 2014 |
Finding dense subgraphs in relational graphs V Jethava, N Beerenwinkel Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 33 | 2015 |
Lovász ϑ function, SVMs and finding dense subgraphs V Jethava, A Martinsson, C Bhattacharyya, D Dubhashi Neural Information Processing Systems (NIPS), 1169-1177, 2012 | 32* | 2012 |
Scalable multi-dimensional user intent identification using tree structured distributions V Jethava, R Baeza-Yates, C Bhattacharyya, D Dubhashi SIGIR 8, 395-404, 2011 | 20 | 2011 |
Netgem: Network embedded temporal generative model for gene expression data V Jethava, C Bhattacharyya, D Dubhashi, GN Vemuri BMC bioinformatics 12, 1-13, 2011 | 12 | 2011 |
Intent-aware temporal query modeling for keyword suggestion F Johansson, T Färdig, V Jethava, S Marinov PIKM Workshop, CIKM, 83-86, 2012 | 8 | 2012 |
Easy high-dimensional likelihood-free inference V Jethava, D Dubhashi arXiv preprint arXiv:1711.11139, 2017 | 7* | 2017 |
Computational approaches for reconstruction of time-varying biological networks from omics data V Jethava, C Bhattacharyya, D Dubhashi Systems Biology: Integrative Biology and Simulation Tools, 209-239, 2013 | 3 | 2013 |
Randomized algorithms for large scale svms V Jethava, K Suresh, C Bhattacharyya, R Hariharan arXiv preprint arXiv:0909.3609, 2009 | 3 | 2009 |
Accelerating container-based deep learning hyperparameter optimization workloads R Liu, D Wong, D Lange, P Larsson, V Jethava, Q Zheng Proceedings of the Sixth Workshop on Data Management for End-To-End Machine …, 2022 | 2 | 2022 |
DLOREAN: Dynamic LOcation-aware REconstruction of multiwAy Networks F Johansson, V Jethava, D Dubhashi 2013 IEEE 13th International Conference on Data Mining Workshops, 1012-1019, 2013 | 2 | 2013 |
Lovasz ϑ, svms and applications V Jethava, J Sznajdman, C Bhattacharyya, D Dubhashi 2013 IEEE Information Theory Workshop (ITW), 1-5, 2013 | 1 | 2013 |
Retraining document-tagging machine-learned model based on anonymized data R Satish, MJ Thanabalan, D Wong, BE Childs, A Salvi, V Jethava US Patent App. 17/412,630, 2023 | | 2023 |
On weighted uncertainty sampling in active learning V Jethava arXiv preprint arXiv:1909.04928, 2019 | | 2019 |
Integrative Analysis of Dynamic Networks V Jethava Chalmers University of Technology, 2014 | | 2014 |
Learning time-varying interaction networks V Jethava Chalmers University of Technology, 2013 | | 2013 |
Extension of Path Probability Method to Approximate Inference over Time V Jethava arXiv preprint arXiv:0909.3606, 2009 | | 2009 |
Coloring and Max k-Cut in O (n3) time on SVM-ϑ graphs V Jethava, J Sznajdman, C Bhattacharyya, D Dubhashi | | |