Online Support Vector Machine Based on Minimum Euclidean Distance. - Kalpana Dahiya; Vinod Kumar Chauhan; Anuj Sharma (CVIP (1), 2016)

Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems. - Vinod Kumar Chauhan; Kalpana Dahiya; Anuj Sharma (ACML, 2017)

Trust Region Levenberg-Marquardt Method for Linear SVM. - Vinod Kumar Chauhan; Kalpana Dahiya; Anuj Sharma (ICAPR, 2017)

Faster learning by reduction of data access time. - Vinod Kumar Chauhan; Anuj Sharma; Kalpana Dahiya (Appl. Intell., 2018)

Faster Algorithms for Large-scale Machine Learning using Simple Sampling Techniques. - Vinod Kumar Chauhan; Kalpana Dahiya; Anuj Sharma (CoRR, 2018)

SAAGs: Biased Stochastic Variance Reduction Methods. - Vinod Kumar Chauhan; Anuj Sharma; Kalpana Dahiya (CoRR, 2018)

Problem formulations and solvers in linear SVM: a review. - Vinod Kumar Chauhan; Kalpana Dahiya; Anuj Sharma (Artif. Intell. Rev., 2019)

SAAGs: Biased stochastic variance reduction methods for large-scale learning. - Vinod Kumar Chauhan; Anuj Sharma; Kalpana Dahiya (Appl. Intell., 2019)

A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning. - Sukhdeep Singh; Vinod Kumar Chauhan; Elisa H. Barney Smith (Appl. Intell., 2020)

Stochastic trust region inexact Newton method for large-scale machine learning. - Vinod Kumar Chauhan; Anuj Sharma; Kalpana Dahiya (Int. J. Mach. Learn. Cybern., 2020)

The relationship between nested patterns and the ripple effect in complex supply networks. - Vinod Kumar Chauhan; Supun Perera; Alexandra Brintrup (Int. J. Prod. Res., 2021)

LIBS2ML: A library for scalable second order machine learning algorithms. - Vinod Kumar Chauhan; Anuj Sharma; Kalpana Dahiya (Softw. Impacts, 2021)

COPER: Continuous Patient State Perceiver. - Vinod Kumar Chauhan; Anshul Thakur; Odhran O'Donoghue; David A. Clifton (BHI, 2022)

Trolley optimisation: An extension of bin packing to load PCB components. - Vinod Kumar Chauhan; Mark Bass; Ajith Kumar Parlikad; Alexandra Brintrup (CoRR, 2022)

Exploitation of material consolidation trade-offs in a multi-tier complex supply networks. - Vinod Kumar Chauhan; Muhannad Alomari; James Arney; Ajith Kumar Parlikad; Alexandra Brintrup (CoRR, 2022)

A network science approach to identify disruptive elements of an airline. - Vinod Kumar Chauhan; Anna Ledwoch; Alexandra Brintrup; Manuel Herrera; Vaggelis Giannikas; Goran Stojkovic; Duncan C. McFarlane (CoRR, 2022)

Adversarial De-confounding in Individualised Treatment Effects Estimation. - Vinod Kumar Chauhan; Soheila Molaei; Marzia Hoque Tania; Anshul Thakur; Tingting Zhu 001; David A. Clifton (AISTATS, 2023)

Synthesizing Mixed-type Electronic Health Records using Diffusion Models. - Taha Ceritli; Ghadeer O. Ghosheh; Vinod Kumar Chauhan; Tingting Zhu 001; Andrew P. Creagh; David A. Clifton (CoRR, 2023)

Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. - Vinod Kumar Chauhan; Jiandong Zhou 003; Soheila Molaei; Ghadeer O. Ghosheh; David A. Clifton (CoRR, 2023)

Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. - Vinod Kumar Chauhan; Stephen Mak; Ajith Kumar Parlikad; Muhannad Alomari; Linus Casassa; Alexandra Brintrup (Comput. Ind. Eng., 2023)

Improving Diagnostics with Deep Forest Applied to Electronic Health Records. - Atieh Khodadadi; Nima Ghanbari Bousejin; Soheila Molaei; Vinod Kumar Chauhan; Tingting Zhu 001; David A. Clifton (Sensors, 2023)

Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey. - Sukhdeep Singh; Anuj Sharma; Vinod Kumar Chauhan (Artif. Intell. Rev., 2023)

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. - Vinod Kumar Chauhan; Jiandong Zhou 003; Ghadeer O. Ghosheh; Soheila Molaei; David A. Clifton (AISTATS, 2024)

GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks. - Sukhdeep Singh; Anuj Sharma; Vinod Kumar Chauhan (CoRR, 2024)

Sample Selection Bias in Machine Learning for Healthcare. - Vinod Kumar Chauhan; Lei A. Clifton; Achille Salaün; Huiqi Yvonne Lu; Kim Branson 001; Patrick Schwab; Gaurav Nigam; David A. Clifton (CoRR, 2024)

Temporal dynamics unleashed: Elevating variational graph attention. - Soheila Molaei; Ghazaleh Niknam; Ghadeer O. Ghosheh; Vinod Kumar Chauhan; Hadi Zare 001; Tingting Zhu 001; Shirui Pan; David A. Clifton (Knowl. Based Syst., 2024)

A brief review of hypernetworks in deep learning. - Vinod Kumar Chauhan; Jiandong Zhou 003; Ping Lu 003; Soheila Molaei; David A. Clifton (Artif. Intell. Rev., 2024)

CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. - Soheila Molaei; Nima Ghanbari Bousejin; Ghadeer O. Ghosheh; Anshul Thakur; Vinod Kumar Chauhan; Tingting Zhu 001; David A. Clifton (J. Heal. Informatics Res., 2024)

HCR-Net: a deep learning based script independent handwritten character recognition network. - Vinod Kumar Chauhan; Sukhdeep Singh; Anuj Sharma (Multim. Tools Appl., 2024)

Trolley Optimisation for Loading Printed Circuit Board Components. - Vinod Kumar Chauhan; Mark Bass; Ajith Kumar Parlikad; Alexandra Brintrup (Oper. Res. Forum, 2024)

Continuous patient state attention model for addressing irregularity in electronic health records. - Vinod Kumar Chauhan; Anshul Thakur; Odhran O'Donoghue; Omid Rohanian; Soheila Molaei; David A. Clifton (BMC Medical Informatics Decis. Mak., 2024)

Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes. - Vinod Kumar Chauhan; Lei A. Clifton; Gaurav Nigam; David A. Clifton (CoRR, 2025)