Citation counts are provided by OpenAlex and Semantic Scholar and may differ between services. Altmetric reports online attention rather than citations. Citation data last updated: 10 August 2026.
2026
Position: Causal AI for Personalised Treatments Needs Holistic Approach
V. K. Chauhan, K. Banfill, S. Feuerriegel
2026 · ICML Position Track (rejected) · Position paper
2025
Clinical prediction of Atrial Fibrillation after Cardiac Surgery: the AFACS risk scores
Benjamin O´Brien, Oliver Redfern, Jonathan Bedford, Stephen Gerry, V. K. Chauhan, Rachel Henning, Rui Providência, …, Peter Watkinson
2025 · Under review · Manuscript
A context-aware methodology for fault detection and severity classification under variable operating conditions
F. De Fabritiis, V. K. Chauhan, D. A. Clifton, K. Gryllias
2025 · The 31st International Congress on Sound and Vibration (ICSV31), Incheon, 6–11 July 2025 · Conference paper
Sample Selection Bias in Machine Learning for Healthcare
V. K. Chauhan, L. Clifton, A. Salaun, Y. Lu, K. Branson, P. Schwab, G. Nigam, D. A. Clifton
2025 · ACM Transactions on Computing for Healthcare · Journal article
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
V. K. Chauhan, L. Clifton, G. Nigam, D. A. Clifton
2025 · The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Bella Center, Copenhagen, Denmark, July 14–17, 2025 · Conference paper
Beyond Correlations: The Necessity and the Challenges of Causal AI
V. K. Chauhan, D. S. Dhami, B. Gao, X. Wang, L. Clifton, D. A. Clifton
2025 · TechRxiv · Preprint
2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
S. Singh, A. Sharma, V. K. Chauhan
2024 · arXiv:2403.15077 · Preprint
HCR-Net: A transfer learning based script independent handwriting character recognition network
V. K. Chauhan, S. Singh, A. Sharma
2024 · Multimedia Tools and Applications · Journal article
Trolley Optimisation for Loading Printed Circuit Board Components
V. K. Chauhan, M. Bass, A. K. Parlikad, A. Brintrup
2024 · Operation Research Forum · Journal article
Temporal Dynamics Unleashed: Elevating Variational Graph Attention
S. Molaei, G. Niknam, G. Ghosheh, V. K. Chauhan, H. Zare, T. Zhu, S. Pan, D. Clifton
2024 · Knowledge-Based Systems · Journal article
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation using Graph Neural Networks
S. Molaei, N. G. Bousejin, G. Ghosheh, A. Thakur, V. K. Chauhan, T. Zhu, D. Clifton
2024 · Journal of Healthcare Informatics Research · Journal article
Continuous Patient State Attention Model for Addressing Irregularity in Electronic Health Records
V. K. Chauhan, A. Thakur, O. O'Donoghue, O. Rohanian, S. Molaei, D. A. Clifton
2024 · BMC Medical Informatics and Decision Making · Journal article
Comparing the risks of new-onset gastric cancer or gastric diseases in type 2 diabetes mellitus patients exposed to SGLT2I, DPP4I or GLP1A: a population-based cohort study
O. H. I. Chou*, V. K. Chauhan*, C. T. Chung, L. Lu, T. T. L. Lee, Z. M. W. Ng, K. K. Wang, S. Lee, H. Liu, W. T. Wong, R. T. K. Pang, A. K., B. M.Y. Cheung, G. Tse, J. Zhou
2024 · Gastric Cancer · Journal article
A Brief Review of Hypernetworks in Deep Learning
V. K. Chauhan, J. Zhou, P. Lu, S. Molaei, D. A. Clifton
2024 · Artificial Intelligence Review · Journal article
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
V. K. Chauhan, J. Zhou, G. Ghosheh, S. Molaei, D. A. Clifton
2024 · The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, May 2–4, 2024 · Conference paper
2023
Indic Script Family and Its Offline Handwriting Recognition for Characters/ Digits and Words: A Comprehensive Survey
S. Singh, A. Sharma, V. K. Chauhan
2023 · Artificial Intelligence Review · Journal article
Predicting supply chain procurement bid prices with uncertainty quantification and machine learning: a case study in aerospace manufacturing
B. Lee, M. Alomari, V. K. Chauhan, M. Farsi, A. Brintrup
2023 · Under review · Manuscript
A network science approach to identify disruptive elements of an airline
V. K. Chauhan, Anna Ledwoch, A. Brintrup, Manuel Herrera, Vaggelis Giannikas, Goran Stojkovic, D. Mcfarlane
2023 · Data Science and Management · Journal article
Multi-tier material consolidation in complex supply chains
V. K. Chauhan, Muhannad Alomari, James Arney, A. K. Parlikad, A. Brintrup
2023 · Supply Chain Analytics · Journal article
Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing
V. K. Chauhan, Stephen Mak, A. K. Parlikad, Muhannad Alomari, Linus Casassa, A. Brintrup
2023 · Computers & Industrial Engineering · Journal article
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
T. Ceritli, G. O. Ghosheh, V. K. Chauhan, T. Zhu, A. P. Creagh, D. A. Clifton
2023 · arXiv (not published) · Preprint
Improving Diagnostics with Deep Forest Applied to Electronic Health Records
A. Khodadadi, N. G. Bousejin, S. Molaei*, V. K. Chauhan, T. Zhu, D. A. Clifton
2023 · Sensors · Journal article
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints
O. Rohanian, H. Jauncey, M. Nouriborji, V. K. Chauhan, B. P. Gonçalves, C. Kartsonaki, ISARIC Clinical Characterisation Group, L. Merson, D. A. Clifton
2023 · The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks · Conference paper
Adversarial De-confounding in Individualised Treatment Effects Estimation
V. K. Chauhan, S. Molaei, MH. Tania, A. Thakur, T. Zhu, D. A. Clifton
2023 · The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) · Conference paper
1567P The effect of SGLT2i and DPP4i on new-onset gastric cancer and gastric diseases in type 2 diabetes mellitus: A population-based cohort study
O. H. I. Chou, V. K. Chauhan, C. T. Chung, L. Lu, T. T. L. Lee, Z. M. W. Ng, K. K. Wang, S. Lee, H. Liu, W. T. Wong, R. T. K. Pang, A. K., B. M.Y. Cheung, G. Tse, J. Zhou
2023 · Annals of Oncology, 34, S876 · Conference abstract
2022
COPER: Continuous Patient State Perceiver
V. K. Chauhan, A. Thakur, O. O'Donoghue, D. A. Clifton
2022 · IEEE International Conference on Biomedical and Health Informatics · Conference paper
A data-driven method to assess the causes and impact of delay propagation in air transportation systems
V. Giannikasa, A. Ledwoch, G. Stojkovic, P. Costas, A. Brintrup, A. A. S. Al-Ali, V. K. Chauhan, D. McFarlane
2022 · Transportation Research Part C: Emerging Technologies · Journal article
2021
Stochastic Optimization for Large-scale Machine Learning
V. K. Chauhan
2021 · CRC Press (Taylor & Francis) · Book
Online handwritten Gurmukhi word recognition using fine-tuned Deep Convolutional Neural Network on offline features
S. Singh, A. Sharma, V. K. Chauhan
2021 · Machine Learning with Applications · Journal article
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
V. K. Chauhan, A. Sharma, K. Dahiya
2021 · Software Impacts, Elsevier · Journal article
2020
A Self Controlled RDP Approach for Feature Extraction in Online Handwriting Recognition using Deep Learning
S. Singh, V. K. Chauhan, Elisa H. Barney Smith
2020 · Applied Intelligence · Journal article
The relationship between nested patterns and the ripple effect in complex supply networks
V. K. Chauhan, Supun Perera, A. Brintrup
2020 · International Journal of Production Research · Journal article
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning
V. K. Chauhan, A. Sharma, K. Dahiya
2020 · Journal of Machine Learning and Cybernetics · Journal article
2019
Solving large scale linear support vector classification using an optimization framework based on stochastic approximation and coordinate descent approaches
V. K. Chauhan
2019 · Panjab University Chandigarh · PhD thesis
Problem Formulations and Solvers in Linear SVM: a Review
V. K. Chauhan, K. Dahiya, A. Sharma
2019 · Artificial Intelligence Review, Springer, Vol. 52, Issue 2, pp 803–855 · Journal article
SAAGs: Biased Stochastic Variance Reduction Methods for Large-scale Learning
V. K. Chauhan, A. Sharma, K. Dahiya
2019 · Applied Intelligence, Springer, Vol. 49, Issue 9, pp 3331–3361 · Journal article
2018
Faster Learning by Reduction of Data Access Time
V. K. Chauhan, A. Sharma, K. Dahiya
2018 · Applied Intelligence, Springer 48(12):4715–4729 · Journal article
2017
Trust Region Levenberg-Marquardt Method for Linear SVM
V. K. Chauhan, K. Dahiya, A. Sharma
2017 · IEEE Proceedings of the 9th International Conference on Advances in Pattern Recognition (ICAPR-2017), Indian Statistical Institute, Bangalore, India · Conference paper
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems
V. K. Chauhan, K. Dahiya, A. Sharma
2017 · The Ninth Asian Conference on Machine Learning (ACML 2017), Proceedings of Machine Learning Research 77:49–64 · Conference paper
2016
Online Support Vector Machine Based on Minimum Euclidean Distance
K. Dahiya, V. K. Chauhan, A. Sharma
2016 · Proceedings of International Conference on Computer Vision and Image Processing (CVIP-2016), Advances in Intelligent Systems and Computing, vol. 459, pp. 89–99, Springer, Singapore · Conference paper
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