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Vinay Jethava
Vinay Jethava
Dirección de correo verificada de novonordisk.com - Página principal
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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
1402011
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
712013
Global graph kernels using geometric embeddings
F Johansson, V Jethava, D Dubhashi, C Bhattacharyya
International Conference on Machine Learning, 694-702, 2014
702014
Finding dense subgraphs in relational graphs
V Jethava, N Beerenwinkel
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
322015
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
202011
Netgem: Network embedded temporal generative model for gene expression data
V Jethava, C Bhattacharyya, D Dubhashi, GN Vemuri
BMC bioinformatics 12, 1-13, 2011
122011
Intent-aware temporal query modeling for keyword suggestion
F Johansson, T Färdig, V Jethava, S Marinov
PIKM Workshop, CIKM, 83-86, 2012
82012
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
32013
Randomized algorithms for large scale svms
V Jethava, K Suresh, C Bhattacharyya, R Hariharan
arXiv preprint arXiv:0909.3609, 2009
32009
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
22022
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
22013
Lovasz ϑ, svms and applications
V Jethava, J Sznajdman, C Bhattacharyya, D Dubhashi
2013 IEEE Information Theory Workshop (ITW), 1-5, 2013
12013
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
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Artículos 1–20