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Showing 50 publications by Vinod Kumar Chauhan

Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study

Chou OHI, Chauhan VK, Chung CT, Lu L, Lee TTL et al. (2024), Gastric Cancer

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@article{comparativeeffe-2024/6,
  title={Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study},
  author={Chou OHI, Chauhan VK, Chung CT, Lu L, Lee TTL et al.},
  journal={Gastric Cancer},
  publisher={Springer (part of Springer Nature)},
  year = "2024"
}

Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study.

Chou OHI, Chauhan VK, Chung CTS, Lu L, Lee TTL et al. (2024), Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association

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@article{comparativeeffe-2024/6,
  title={Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study.},
  author={Chou OHI, Chauhan VK, Chung CTS, Lu L, Lee TTL et al.},
  journal={Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association},
  publisher={Springer Science and Business Media LLC},
  year = "2024"
}

Temporal dynamics unleashed: elevating variational graph attention

Molaei S, Niknam G, Ghosheh G, Chauhan VK, Zare H et al. (2024), Knowledge-Based Systems

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@article{temporaldynamic-2024/6,
  title={Temporal dynamics unleashed: elevating variational graph attention},
  author={Molaei S, Niknam G, Ghosheh G, Chauhan VK, Zare H et al.},
  journal={Knowledge-Based Systems},
  number={112110},
  publisher={Elsevier},
  year = "2024"
}

Dynamic inter-treatment information sharing for individualized treatment effects estimation

Chauhan VK, Ghosheh G, Clifton DA, Molaei S & Zhou J (2024), Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 3529-3537

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@inproceedings{dynamicintertre-2024/5,
  title={Dynamic inter-treatment information sharing for individualized treatment effects estimation},
  author={Chauhan VK, Ghosheh G, Clifton DA, Molaei S & Zhou J},
  booktitle={27th International Conference on Artificial Intelligence and Statistics (AISTATS)},
  pages={3529-3537},
  year = "2024"
}

Continuous patient state attention model for addressing irregularity in electronic health records

Chauhan VK, Thakur A, O'Donoghue O, Rohanian O, Molaei S et al. (2024), BMC Medical Informatics and Decision Making, 24(1)

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@article{continuouspatie-2024/5,
  title={Continuous patient state attention model for addressing irregularity in electronic health records},
  author={Chauhan VK, Thakur A, O'Donoghue O, Rohanian O, Molaei S et al.},
  journal={BMC Medical Informatics and Decision Making},
  volume={24},
  number={117 },
  publisher={BioMed Central},
  year = "2024"
}

Sample selection bias in machine learning for healthcare

Chauhan VK, Clifton L, Salaün A, Lu HY, Branson K et al. (2024)

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@misc{sampleselection-2024/5,
  title={Sample selection bias in machine learning for healthcare},
  author={Chauhan VK, Clifton L, Salaün A, Lu HY, Branson K et al.},
  year = "2024"
}

GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks

Singh S, Sharma A & Chauhan VK (2024)

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@misc{gtagcngeneraliz-2024/3,
  title={GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks},
  author={Singh S, Sharma A & Chauhan VK},
  year = "2024"
}

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

Chauhan VK, Singh S & Sharma A (2024), Multimedia Tools and Applications, 1-35

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@article{hcrnetadeeplear-2024/2,
  title={HCR-Net: a deep learning based script independent handwritten character recognition network},
  author={Chauhan VK, Singh S & Sharma A},
  journal={Multimedia Tools and Applications},
  pages={1-35},
  publisher={Springer Nature},
  year = "2024"
}

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation

Chauhan VK, Zhou J, Ghosheh G, Molaei S & Clifton DA (2024), Proceedings of Machine Learning Research, 238, 3529-3537

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@inproceedings{dynamicintertre-2024/1,
  title={Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation},
  author={Chauhan VK, Zhou J, Ghosheh G, Molaei S & Clifton DA},
  pages={3529-3537},
  year = "2024"
}

Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey

Singh S, Sharma A & Chauhan VK (2023), Artificial Intelligence Review, 56(Suppl 3), 3003-3055

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@article{indicscriptfami-2023/12,
  title={Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey},
  author={Singh S, Sharma A & Chauhan VK},
  journal={Artificial Intelligence Review},
  volume={56},
  pages={3003-3055},
  publisher={Springer Nature},
  year = "2023"
}

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

Chauhan VK, Alomari M, Arney J, Parlikad AK & Brintrup A (2023)

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@misc{exploitationofm-2023/11,
  title={Exploitation of material consolidation trade-offs in multi-tier complex supply networks},
  author={Chauhan VK, Alomari M, Arney J, Parlikad AK & Brintrup A},
  year = "2023"
}

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

Chauhan VK, Alomari M, Arney J, Parlikad AK & Brintrup A (2023), Supply Chain Analytics, 4

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@article{exploitationofm-2023/11,
  title={Exploitation of material consolidation trade-offs in multi-tier complex supply networks},
  author={Chauhan VK, Alomari M, Arney J, Parlikad AK & Brintrup A},
  journal={Supply Chain Analytics},
  volume={4},
  number={100050},
  publisher={Elsevier},
  year = "2023"
}

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

Chou HI, Chauhan VK, Lu L, Chung CT, Lee TTL et al. (2023), Annals of Oncology, 34, s876

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@inproceedings{ptheeffectofsgl-2023/10,
  title={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},
  author={Chou HI, Chauhan VK, Lu L, Chung CT, Lee TTL et al.},
  pages={s876},
  year = "2023"
}

Using bottleneck adapters to identify cancer in clinical notes under low-resource constraints

Rohanian M, Jauncey H, Nouriborji M, Kumar VK, Gonçalves B et al. (2023), Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks (BioNLP 2023), 62-78

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@inproceedings{usingbottleneck-2023/8,
  title={Using bottleneck adapters to identify cancer in clinical notes under low-resource constraints},
  author={Rohanian M, Jauncey H, Nouriborji M, Kumar VK, Gonçalves B et al.},
  booktitle={22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks (BioNLP 2023)},
  pages={62-78},
  year = "2023"
}

Improving diagnostics with deep forest applied to electronic health records

Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al. (2023), Sensors, 23(14)

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@article{improvingdiagno-2023/7,
  title={Improving diagnostics with deep forest applied to electronic health records},
  author={Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al.},
  journal={Sensors},
  volume={23},
  number={6571},
  publisher={MDPI},
  year = "2023"
}

Adversarial de-confounding in individualised treatment effects estimation

Kumar V, Molaei S, Hoque Tania M, Thakur A, Zhu T et al. (2023), Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 206, 837-849

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@inproceedings{adversarialdeco-2023/4,
  title={Adversarial de-confounding in individualised treatment effects estimation},
  author={Kumar V, Molaei S, Hoque Tania M, Thakur A, Zhu T et al.},
  booktitle={26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)},
  pages={837-849},
  year = "2023"
}

Network science approach for identifying disruptive elements of an airline

Chauhan VK, Ledwoch A, Brintrup A, Herrera M, Giannikas V et al. (2023)

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@misc{networksciencea-2023/4,
  title={Network science approach for identifying disruptive elements of an airline},
  author={Chauhan VK, Ledwoch A, Brintrup A, Herrera M, Giannikas V et al.},
  year = "2023"
}

Network science approach for identifying disruptive elements of an airline

Chauhan VK, Ledwoch A, Brintrup A, Herrera M, Giannikas V et al. (2023), Data Science and Management, 6(2), 110-121

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@article{networksciencea-2023/4,
  title={Network science approach for identifying disruptive elements of an airline},
  author={Chauhan VK, Ledwoch A, Brintrup A, Herrera M, Giannikas V et al.},
  journal={Data Science and Management},
  volume={6},
  pages={110-121},
  publisher={Elsevier},
  year = "2023"
}

Synthesizing Mixed-type Electronic Health Records using Diffusion Models

Ceritli T, Ghosheh GO, Chauhan VK, Zhu T, Creagh AP et al. (2023)

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@misc{synthesizingmix-2023/2,
  title={Synthesizing Mixed-type Electronic Health Records using Diffusion Models},
  author={Ceritli T, Ghosheh GO, Chauhan VK, Zhu T, Creagh AP et al.},
  year = "2023"
}

Adversarial De-confounding in Individualised Treatment Effects Estimation

Chauhan VK, Molaei S, Tania MH, Thakur A, Zhu T et al. (2023), Proceedings of Machine Learning Research, 206, 837-849

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@inproceedings{adversarialdeco-2023/1,
  title={Adversarial De-confounding in Individualised Treatment Effects Estimation},
  author={Chauhan VK, Molaei S, Tania MH, Thakur A, Zhu T et al.},
  pages={837-849},
  year = "2023"
}

Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey

Singh S, Sharma A & Chauhan VK (2023), ARTIFICIAL INTELLIGENCE REVIEW

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@article{indicscriptfami-2023/,
  title={Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey},
  author={Singh S, Sharma A & Chauhan VK},
  journal={ARTIFICIAL INTELLIGENCE REVIEW},
  year = "2023"
}

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

Chauhan VK, Mak S, Parlikad AK, Alomari M, Casassa L et al. (2022)

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@misc{realtimelargesc-2022/12,
  title={Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing},
  author={Chauhan VK, Mak S, Parlikad AK, Alomari M, Casassa L et al.},
  year = "2022"
}

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

Chauhan VK, Mak S, Parlikad AK, Alomari M, Casassa L et al. (2022), Computers and Industrial Engineering, 176

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@article{realtimelargesc-2022/12,
  title={Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing},
  author={Chauhan VK, Mak S, Parlikad AK, Alomari M, Casassa L et al.},
  journal={Computers and Industrial Engineering},
  volume={176},
  number={108928},
  publisher={Elsevier },
  year = "2022"
}

Continuous patient state attention models

Chauhan VK, Rohanian O, Thakur A, O'Donoghue O & Clifton DA (2022)

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@misc{continuouspatie-2022/12,
  title={Continuous patient state attention models},
  author={Chauhan VK, Rohanian O, Thakur A, O'Donoghue O & Clifton DA},
  year = "2022"
}

COPER: continuous patient state Perceiver

Chauhan VK, Thakur A, O'Donoghue O & Clifton D (2022), 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 1-4

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@inproceedings{copercontinuous-2022/11,
  title={COPER: continuous patient state Perceiver},
  author={Chauhan VK, Thakur A, O'Donoghue O & Clifton D},
  booktitle={IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2022)},
  pages={1-4},
  year = "2022"
}

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

Giannikas V, Ledwoch A, Stojković G, Costas P, Brintrup A et al. (2022), Transportation Research Part C Emerging Technologies, 143, 103862

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@article{adatadrivenmeth-2022/10,
  title={A data-driven method to assess the causes and impact of delay propagation in air transportation systems},
  author={Giannikas V, Ledwoch A, Stojković G, Costas P, Brintrup A et al.},
  journal={Transportation Research Part C Emerging Technologies},
  volume={143},
  pages={103862},
  publisher={Elsevier},
  year = "2022"
}

Adversarial De-confounding in Individualised Treatment Effects Estimation

Chauhan VK, Molaei S, Tania MH, Thakur A, Zhu T et al. (2022)

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@misc{adversarialdeco-2022/10,
  title={Adversarial De-confounding in Individualised Treatment Effects Estimation},
  author={Chauhan VK, Molaei S, Tania MH, Thakur A, Zhu T et al.},
  year = "2022"
}

Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints

Rohanian O, Jauncey H, Nouriborji M, Chauhan VK, Gonçalves BP et al. (2022)

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@misc{usingbottleneck-2022/10,
  title={Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints},
  author={Rohanian O, Jauncey H, Nouriborji M, Chauhan VK, Gonçalves BP et al.},
  year = "2022"
}

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

Chauhan VK, Bass M, Parlikad AK & Brintrup A (2022)

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@misc{trolleyoptimisa-2022/9,
  title={Trolley optimisation: An extension of bin packing to load PCB components},
  author={Chauhan VK, Bass M, Parlikad AK & Brintrup A},
  year = "2022"
}

COPER: Continuous Patient State Perceiver

Chauhan VK, Thakur A, O'Donoghue O & Clifton DA (2022)

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@misc{copercontinuous-2022/8,
  title={COPER: Continuous Patient State Perceiver},
  author={Chauhan VK, Thakur A, O'Donoghue O & Clifton DA},
  year = "2022"
}

LIBS2ML: A library for scalable second order machine learning algorithms

Chauhan VK, Sharma A & Dahiya K (2021)

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@misc{libsmlalibraryf-2021/11,
  title={LIBS2ML: A library for scalable second order machine learning algorithms},
  author={Chauhan VK, Sharma A & Dahiya K},
  year = "2021"
}

LIBS2ML: A library for scalable second order machine learning algorithms

Chauhan VK, Sharma A & Dahiya K (2021), Software Impacts, 10

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@article{libsmlalibraryf-2021/11,
  title={LIBS2ML: A library for scalable second order machine learning algorithms},
  author={Chauhan VK, Sharma A & Dahiya K},
  journal={Software Impacts},
  volume={10},
  number={100123},
  publisher={Elsevier},
  year = "2021"
}

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

Chauhan VK, Singh S & Sharma A (2021), Multimedia Tools and Applications

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@article{hcrnetadeeplear-2021/8,
  title={HCR-Net: A deep learning based script independent handwritten character
  recognition network},
  author={Chauhan VK, Singh S & Sharma A},
  journal={Multimedia Tools and Applications},
  publisher={Springer (part of Springer Nature)},
  year = "2021"
}

Online handwritten Gurmukhi word recognition using fine-tuned deep convolutional neural network on offline features

Singh S, Sharma A & Chauhan VK (2021), Machine Learning with Applications, 5

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@article{onlinehandwritt-2021/5,
  title={Online handwritten Gurmukhi word recognition using fine-tuned deep convolutional neural network on offline features},
  author={Singh S, Sharma A & Chauhan VK},
  journal={Machine Learning with Applications},
  volume={5},
  number={100037},
  publisher={Elsevier},
  year = "2021"
}

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

Chauhan VK, Perera S & Brintrup A (2021), International Journal of Production Research, 59(1), 325-341

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@article{therelationship-2021/1,
  title={The relationship between nested patterns and the ripple effect in complex supply networks},
  author={Chauhan VK, Perera S & Brintrup A},
  journal={International Journal of Production Research},
  volume={59},
  pages={325-341},
  publisher={Taylor & Francis},
  year = "2021"
}

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

Singh S, Chauhan VK & Smith EHB (2020), Applied Intelligence, 50(7), 2093-2104

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@article{aselfcontrolled-2020/7,
  title={A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning},
  author={Singh S, Chauhan VK & Smith EHB},
  journal={Applied Intelligence},
  volume={50},
  pages={2093-2104},
  publisher={Springer Nature},
  year = "2020"
}

Problem formulations and solvers in linear SVM: a review

Chauhan VK, Dahiya K & Sharma A (2019), Artificial Intelligence Review, 52(2), 803-855

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@article{problemformulat-2019/8,
  title={Problem formulations and solvers in linear SVM: a review},
  author={Chauhan VK, Dahiya K & Sharma A},
  journal={Artificial Intelligence Review},
  volume={52},
  pages={803-855},
  publisher={Springer Nature},
  year = "2019"
}

Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning

Chauhan VK, Sharma A & Dahiya K (2018)

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@article{stochastictrust-2018/12,
  title={Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning},
  author={Chauhan VK, Sharma A & Dahiya K},
  journal={},
  year = "2018"
}

Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning

Chauhan VK, Sharma A & Dahiya K (2018)

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@misc{stochastictrust-2018/12,
  title={Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning},
  author={Chauhan VK, Sharma A & Dahiya K},
  year = "2018"
}

SAAGs: Biased Stochastic Variance Reduction Methods for Large-scale Learning

Chauhan VK, Sharma A & Dahiya K (2018)

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@article{saagsbiasedstoc-2018/7,
  title={SAAGs: Biased Stochastic Variance Reduction Methods for Large-scale Learning},
  author={Chauhan VK, Sharma A & Dahiya K},
  journal={},
  year = "2018"
}

SAAGs: Biased Stochastic Variance Reduction Methods for Large-scale Learning

Chauhan VK, Sharma A & Dahiya K (2018)

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@misc{saagsbiasedstoc-2018/7,
  title={SAAGs: Biased Stochastic Variance Reduction Methods for Large-scale Learning},
  author={Chauhan VK, Sharma A & Dahiya K},
  year = "2018"
}

Faster Learning by Reduction of Data Access Time

Chauhan VK, Sharma A & Dahiya K (2018)

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@article{fasterlearningb-2018/1,
  title={Faster Learning by Reduction of Data Access Time},
  author={Chauhan VK, Sharma A & Dahiya K},
  journal={},
  year = "2018"
}

Faster Learning by Reduction of Data Access Time

Chauhan VK, Sharma A & Dahiya K (2018)

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@misc{fasterlearningb-2018/1,
  title={Faster Learning by Reduction of Data Access Time},
  author={Chauhan VK, Sharma A & Dahiya K},
  year = "2018"
}

Trust Region Levenberg-Marquardt Method for Linear SVM

Chauhan VK, Dahiya K & Sharma A (2017), 00, 1-6

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@inproceedings{trustregionleve-2017/12,
  title={Trust Region Levenberg-Marquardt Method for Linear SVM},
  author={Chauhan VK, Dahiya K & Sharma A},
  booktitle={2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)},
  pages={1-6},
  year = "2017"
}

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

Chauhan VK, Dahiya K & Sharma A (2017), Journal of Machine Learning Research, 77, 49-64

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@inproceedings{minibatchblockc-2017/1,
  title={Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems},
  author={Chauhan VK, Dahiya K & Sharma A},
  pages={49-64},
  year = "2017"
}

Online Support Vector Machine Based on Minimum Euclidean Distance

Dahiya K, Kumar Chauhan V & Sharma A (2017), 459, 89-99

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@misc{onlinesupportve-2017/,
  title={Online Support Vector Machine Based on Minimum Euclidean Distance},
  author={Dahiya K, Kumar Chauhan V & Sharma A},
  year = "2017"
}

Trust Region Levenberg-Marquardt Method for Linear SVM Trust Region Levenberg-Marquardt Method for Linear SVM

Chauhan VK, Dahiya K & Sharma A (2017), 2017 NINTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION (ICAPR), 380-385

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@inproceedings{trustregionleve-2017/,
  title={Trust Region Levenberg-Marquardt Method for Linear SVM Trust Region Levenberg-Marquardt Method for Linear SVM},
  author={Chauhan VK, Dahiya K & Sharma A},
  pages={380-385},
  year = "2017"
}

How to reduce user story reopen count in scrum development?

Chauhan VK (2015), 2015 International Conference on Computing for Sustainable Global Development, INDIACom 2015, 2204-2208

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@inproceedings{howtoreduceuser-2015/1,
  title={How to reduce user story reopen count in scrum development?},
  author={Chauhan VK},
  pages={2204-2208},
  year = "2015"
}

Stochastic Optimization for Large-scale Machine Learning

Chauhan VK (0)

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@article{stochasticoptim-/,
  title={Stochastic Optimization for Large-scale Machine Learning},
  author={Chauhan VK},
  journal={},
  publisher={Taylor & Francis}
}

A brief review of hypernetworks in deep learning

Chauhan VK, Zhou J, Lu P, Molaei S & Clifton DA (0)

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@misc{abriefreviewofh-/,
  title={A brief review of hypernetworks in deep learning},
  author={Chauhan VK, Zhou J, Lu P, Molaei S & Clifton DA}
}