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ORCIDVinod Kumar Chauhan
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Journal Articles
- 2024
[j16]Vinod Kumar Chauhan
, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton:
A brief review of hypernetworks in deep learning. Artif. Intell. Rev. 57(9): 250 (2024)- [j15]Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton:
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. J. Heal. Informatics Res. 8(3): 555-575 (2024) - [j14]Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton:
Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. 299: 112110 (2024) - [j13]Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton:
Continuous patient state attention model for addressing irregularity in electronic health records. BMC Medical Informatics Decis. Mak. 24(1): 117 (2024) - [j12]Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma:
HCR-Net: a deep learning based script independent handwritten character recognition network. Multim. Tools Appl. 83(32): 78433-78467 (2024) - [j11]Vinod Kumar Chauhan, Mark Bass, Ajith Kumar Parlikad, Alexandra Brintrup:
Trolley Optimisation for Loading Printed Circuit Board Components. Oper. Res. Forum 5(3): 72 (2024) - 2023
- [j10]Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan:
Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey. Artif. Intell. Rev. 56(Supplement 3): 3003-3055 (2023) - [j9]Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup:
Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. Comput. Ind. Eng. 176: 108928 (2023) - [j8]Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton:
Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors 23(14): 6571 (2023) - 2021
- [j7]Vinod Kumar Chauhan, Supun Perera, Alexandra Brintrup:
The relationship between nested patterns and the ripple effect in complex supply networks. Int. J. Prod. Res. 59(1): 325-341 (2021) - [j6]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
LIBS2ML: A library for scalable second order machine learning algorithms. Softw. Impacts 10: 100123 (2021) - 2020
- [j5]Sukhdeep Singh, Vinod Kumar Chauhan, Elisa H. Barney Smith:
A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning. Appl. Intell. 50(7): 2093-2104 (2020) - [j4]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
Stochastic trust region inexact Newton method for large-scale machine learning. Int. J. Mach. Learn. Cybern. 11(7): 1541-1555 (2020) - 2019
- [j3]Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma:
Problem formulations and solvers in linear SVM: a review. Artif. Intell. Rev. 52(2): 803-855 (2019) - [j2]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
SAAGs: Biased stochastic variance reduction methods for large-scale learning. Appl. Intell. 49(9): 3331-3361 (2019) - 2018
- [j1]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
Faster learning by reduction of data access time. Appl. Intell. 48(12): 4715-4729 (2018)
Conference and Workshop Papers
- 2024
- [c6]Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton:
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. AISTATS 2024: 3529-3537 - 2023
- [c5]Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton:
Adversarial De-confounding in Individualised Treatment Effects Estimation. AISTATS 2023: 837-849 - 2022
- [c4]Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton:
COPER: Continuous Patient State Perceiver. BHI 2022: 1-4 - 2017
- [c3]Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma:
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems. ACML 2017: 49-64 - [c2]Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma:
Trust Region Levenberg-Marquardt Method for Linear SVM. ICAPR 2017: 1-6 - 2016
- [c1]Kalpana Dahiya, Vinod Kumar Chauhan, Anuj Sharma:
Online Support Vector Machine Based on Minimum Euclidean Distance. CVIP (1) 2016: 89-99
Informal and Other Publications
- 2024
- [i16]Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan:
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks. CoRR abs/2403.15077 (2024) - [i15]Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton:
Sample Selection Bias in Machine Learning for Healthcare. CoRR abs/2405.07841 (2024) - 2023
- [i14]Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton:
Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR abs/2302.14679 (2023) - [i13]Vinod Kumar Chauhan, Jiandong Zhou, Soheila Molaei, Ghadeer O. Ghosheh, David A. Clifton:
Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. CoRR abs/2305.15984 (2023) - [i12]Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton:
A Brief Review of Hypernetworks in Deep Learning. CoRR abs/2306.06955 (2023) - 2022
- [i11]Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton:
COPER: Continuous Patient State Perceiver. CoRR abs/2208.03196 (2022) - [i10]Vinod Kumar Chauhan, Mark Bass, Ajith Kumar Parlikad, Alexandra Brintrup:
Trolley optimisation: An extension of bin packing to load PCB components. CoRR abs/2209.09116 (2022) - [i9]Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton:
Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR abs/2210.10530 (2022) - [i8]Vinod Kumar Chauhan, Muhannad Alomari, James Arney, Ajith Kumar Parlikad, Alexandra Brintrup:
Exploitation of material consolidation trade-offs in a multi-tier complex supply networks. CoRR abs/2210.11479 (2022) - [i7]Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup:
Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. CoRR abs/2210.11953 (2022) - [i6]Vinod Kumar Chauhan, Anna Ledwoch, Alexandra Brintrup, Manuel Herrera, Vaggelis Giannikas, Goran Stojkovic, Duncan C. McFarlane:
A network science approach to identify disruptive elements of an airline. CoRR abs/2211.08140 (2022) - 2021
- [i5]Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma:
HCR-Net: A deep learning based script independent handwritten character recognition network. CoRR abs/2108.06663 (2021) - 2019
- [i4]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms. CoRR abs/1904.09448 (2019) - 2018
- [i3]Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma:
Faster Algorithms for Large-scale Machine Learning using Simple Sampling Techniques. CoRR abs/1801.05931 (2018) - [i2]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
SAAGs: Biased Stochastic Variance Reduction Methods. CoRR abs/1807.08934 (2018) - [i1]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning. CoRR abs/1812.10426 (2018)
Coauthor Index
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