Vinod Kumar Chauhan

发表

Online Support Vector Machine Based on Minimum Euclidean Distance

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2016, CVIP.

SAAGs: Biased stochastic variance reduction methods for large-scale learning

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2019, Applied Intelligence.

SAAGs: Biased Stochastic Variance Reduction Methods pdf

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2018, ArXiv.

Trust Region Levenberg-Marquardt Method for Linear SVM

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2017, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR).

Faster Algorithms for Large-scale Machine Learning using Simple Sampling Techniques pdf

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2018, ArXiv.

Faster learning by reduction of data access time

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2018, Applied Intelligence.

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms pdf

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2019, Softw. Impacts.

Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2017, ACML.

Problem formulations and solvers in linear SVM: a review

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2018, Artificial Intelligence Review.

Stochastic trust region inexact Newton method for large-scale machine learning

Anuj Sharma, Kalpana Dahiya, Vinod Kumar Chauhan, 2018, Int. J. Mach. Learn. Cybern..

How to reduce user story reopen count in Scrum development?

Vinod Kumar Chauhan, 2015, 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom).

The relationship between nested patterns and the ripple effect in complex supply networks

Alexandra Brintrup, Supun Perera, Vinod Kumar Chauhan, 2020, Int. J. Prod. Res..

Online handwritten Gurmukhi word recognition using fine-tuned Deep Convolutional Neural Network on offline features

Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma, 2021 .

Variance Reduction Methods

Vinod Kumar Chauhan, 2021, Stochastic Optimization for Large-scale Machine Learning.

Smoke Testing

Vinod Kumar Chauhan, 2014 .

A data-driven method to assess the causes and impact of delay propagation in air transportation systems

Vinod Kumar Chauhan, D. McFarlane, A. Brintrup, 2022, Transportation Research Part C: Emerging Technologies.

Exploitation of material consolidation trade-offs in a multi-tier complex supply networks

Vinod Kumar Chauhan, A. Parlikad, A. Brintrup, 2022, Supply Chain Analytics.

Adversarial De-confounding in Individualised Treatment Effects Estimation

Vinod Kumar Chauhan, Marzia Hoque Tania, T. Zhu, 2022, ArXiv.

Trolley optimisation: An extension of bin packing to load PCB components

Vinod Kumar Chauhan, A. Parlikad, A. Brintrup, 2022, ArXiv.

Problem formulations and solvers in linear SVM: a review

Vinod Kumar Chauhan, Kalpana Dahiya, A. Sharma, 2019, Artificial Intelligence Review.

Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing

Vinod Kumar Chauhan, A. Parlikad, A. Brintrup, 2022, ArXiv.

A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning

Elisa H. Barney Smith, Vinod Kumar Chauhan, Sukhdeep Singh, 2020, Applied Intelligence.

HCR-Net: A deep learning based script independent handwritten character recognition network

Vinod Kumar Chauhan, Sukhdeep Singh, Anand Sharma, 2021, Multimedia Tools and Applications.

Continuous Patient State Attention Models

Vinod Kumar Chauhan, D. Clifton, Omid Rohanian, 2022, medRxiv.

Adversarial De-confounding in Individualised Treatment Effects Estimation

Vinod Kumar Chauhan, Marzia Hoque Tania, T. Zhu, 2022, AISTATS.

A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning

Elisa H. Barney Smith, Vinod Kumar Chauhan, Sukhdeep Singh, 2020, Applied Intelligence.

A Brief Review of Hypernetworks in Deep Learning

Vinod Kumar Chauhan, D. Clifton, Ping Lu, 2023, ArXiv.

Stochastic Optimization for Large-scale Machine Learning

Vinod Kumar Chauhan, 2021 .

Stochastic trust region inexact Newton method for large-scale machine learning

Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma, 2020, International Journal of Machine Learning and Cybernetics.

SAAGs: Biased stochastic variance reduction methods for large-scale learning

Vinod Kumar Chauhan, Kalpana Dahiya, A. Sharma, 2018, Applied intelligence (Boston).

A Brief Review of Hypernetworks in Deep Learning

Vinod Kumar Chauhan, D. Clifton, Ping Lu, 2023, Artif. Intell. Rev..

Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing

Vinod Kumar Chauhan, A. Parlikad, A. Brintrup, 2022, Comput. Ind. Eng..