Vinod Kumar Chauhan

40 papers A 2C 1Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes. CoRR Vinod Kumar Chauhan, Lei A. Clifton, Gaurav Nigam, David A. Clifton
2025	J	`jnl`	Sample Selection Bias in Machine Learning for Healthcare. ACM Trans. Comput. Heal. Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2024	J	`jnl`	A brief review of hypernetworks in deep learning. Artif. Intell. Rev. Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
2024	J	`jnl`	CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. J. Heal. Informatics Res. Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
2024	J	`jnl`	Continuous patient state attention model for addressing irregularity in electronic health records. BMC Medical Informatics Decis. Mak. Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton
2024	A	`conf`	Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. AISTATS Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton
2024	J	`jnl`	GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks. CoRR Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan
2024	J	`jnl`	HCR-Net: a deep learning based script independent handwritten character recognition network. Multim. Tools Appl. Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma
2024	J	`jnl`	Sample Selection Bias in Machine Learning for Healthcare. CoRR Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2024	J	`jnl`	Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton
2024	J	`jnl`	Trolley Optimisation for Loading Printed Circuit Board Components. Oper. Res. Forum Vinod Kumar Chauhan, Mark Bass, Ajith Kumar Parlikad, Alexandra Brintrup
2023	J	`jnl`	A Brief Review of Hypernetworks in Deep Learning. CoRR Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
2023	A	`conf`	Adversarial De-confounding in Individualised Treatment Effects Estimation. AISTATS Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. CoRR Vinod Kumar Chauhan, Jiandong Zhou, Soheila Molaei, Ghadeer O. Ghosheh, David A. Clifton
2023	J	`jnl`	Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey. Artif. Intell. Rev. Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan
2023	J	`jnl`	Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. Comput. Ind. Eng. Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup
2023	J	`jnl`	Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton
2022	J	`jnl`	A network science approach to identify disruptive elements of an airline. CoRR Vinod Kumar Chauhan, Anna Ledwoch, Alexandra Brintrup, Manuel Herrera, Vaggelis Giannikas, Goran Stojkovic, Duncan C. McFarlane
2022	J	`jnl`	Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2022	—	`conf`	COPER: Continuous Patient State Perceiver. BHI Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
2022	J	`jnl`	COPER: Continuous Patient State Perceiver. CoRR Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
2022	J	`jnl`	Exploitation of material consolidation trade-offs in a multi-tier complex supply networks. CoRR Vinod Kumar Chauhan, Muhannad Alomari, James Arney, Ajith Kumar Parlikad, Alexandra Brintrup
2022	J	`jnl`	Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. CoRR Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup
2022	J	`jnl`	Trolley optimisation: An extension of bin packing to load PCB components. CoRR Vinod Kumar Chauhan, Mark Bass, Ajith Kumar Parlikad, Alexandra Brintrup
2021	J	`jnl`	HCR-Net: A deep learning based script independent handwritten character recognition network. CoRR Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma
2021	J	`jnl`	LIBS2ML: A library for scalable second order machine learning algorithms. Softw. Impacts Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
2021	J	`jnl`	The relationship between nested patterns and the ripple effect in complex supply networks. Int. J. Prod. Res. Vinod Kumar Chauhan, Supun Perera, Alexandra Brintrup
2020	J	`jnl`	A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning. Appl. Intell. Sukhdeep Singh, Vinod Kumar Chauhan, Elisa H. Barney Smith
2020	J	`jnl`	Stochastic trust region inexact Newton method for large-scale machine learning. Int. J. Mach. Learn. Cybern. Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
2019	J	`jnl`	LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms. CoRR Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
2019	J	`jnl`	Problem formulations and solvers in linear SVM: a review. Artif. Intell. Rev. Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma
2019	J	`jnl`	SAAGs: Biased stochastic variance reduction methods for large-scale learning. Appl. Intell. Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
2018	J	`jnl`	Faster Algorithms for Large-scale Machine Learning using Simple Sampling Techniques. CoRR Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma
2018	J	`jnl`	Faster learning by reduction of data access time. Appl. Intell. Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
2018	J	`jnl`	SAAGs: Biased Stochastic Variance Reduction Methods. CoRR Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
2018	J	`jnl`	Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning. CoRR Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
2017	C	`conf`	Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems. ACML Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma
2017	—	`conf`	Trust Region Levenberg-Marquardt Method for Linear SVM. ICAPR Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma
2016	—	`conf`	Online Support Vector Machine Based on Minimum Euclidean Distance. CVIP (1) Kalpana Dahiya, Vinod Kumar Chauhan, Anuj Sharma