Anshul Thakur

According to our database, Anshul Thakur authored at least 36 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 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, David A. Clifton

J. Heal. Informatics Res., September, 2024

Incremental Trainable Parameter Selection in Deep Neural Networks.

Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Tingting Zhu, David A. Clifton

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton

npj Digit. Medicine, 2024

On-chip Data Compression Techniques for High-Density Implantable Neural Recording.

Shantanu Singh Baliyan, Anshul Thakur, Laxmeesha Somappa

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.

Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks.

Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Self-Aware SGD: Reliable Incremental Adaptation Framework for Clinical AI Models.

Anshul Thakur, Jacob Armstrong, Alexey Youssef, David W. Eyre, David A. Clifton

IEEE J. Biomed. Health Informatics, March, 2023

Is dataset condensation a silver bullet for healthcare data sharing?

Yujiang Wang, Anshul Thakur, Mingzhi Dong, Pingchuan Ma, Stavros Petridis, Li Shang, Tingting Zhu, David A. Clifton

CoRR, 2023

Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention.

Anshul Thakur, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang, David A. Clifton

CoRR, 2023

All models are local: time to replace external validation with recurrent local validation.

Alexey Youssef, Michael Pencina, Anshul Thakur, Tingting Zhu, David A. Clifton, Nigam H. Shah

CoRR, 2023

Adversarial De-confounding in Individualised Treatment Effects Estimation.

Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

On Deploying Secondary Networks in Co-Channel Bands with DTV Networks.

Anshul Thakur, Swades De

IEEE Trans. Veh. Technol., 2022

Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications.

Anshul Thakur, Pulkit Sharma, David A. Clifton

IEEE J. Biomed. Health Informatics, 2022

Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information?

Anshul Thakur, Vinayak Abrol, Pulkit Sharma

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

COPER: Continuous Patient State Perceiver.

Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2020

Co-Channel Secondary Deployment Over DTV Bands Using Reconfigurable Radios.

Anshul Thakur, Swades De, Gabriel-Miro Muntean

IEEE Trans. Veh. Technol., 2020

Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma.

Krati Gupta, Anshul Thakur, Michael H. Goldbaum, Siamak Yousefi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Archetypal Analysis Based Intermediate Matching Kernel for Bioacoustic Classification.

Anshul Thakur, Padmanabhan Rajan

IEEE J. Sel. Top. Signal Process., 2019

Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss.

Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam

CoRR, 2019

Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation.

Anshul Thakur, Padmanabhan Rajan

CoRR, 2019

Interference-Aware Co-Channel Transmission Over DTV Bands via Partial Frequency and Time Overlaps.

Anshul Thakur, Swades De, Gabriel-Miro Muntean

Proceedings of the 2019 IEEE International Conference on Communications, 2019

CONV-codes: Audio Hashing for Bird Species Classification.

Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Convex likelihood alignments for bioacoustic Classification.

Anshul Thakur, Arshdeep Singh, Padmanabhan Rajan

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

APE: Archetypal-Prototypal Embeddings for Audio Classification.

Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Deep Convex Representations: Feature Representations for Bioacoustics Classification.

Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM.

Pulkit Sharma, Vinayak Abrol, Anshul Thakur

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

All-Conv Net for Bird Activity Detection: Significance of Learned Pooling.

Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Compressed Convex Spectral Embedding for Bird Species Classification.

Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification.

Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, Arnav Bhavsar

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Unsupervised birdcall activity detection using source and system features.

Anshul Thakur, Padmanabhan Rajan

Proceedings of the Twenty-third National Conference on Communications, 2017

Rényi entropy based mutual information for semi-supervised bird vocalization segmentation.

Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Rapid bird activity detection using probabilistic sequence kernels.

Anshul Thakur, R. Jyothi, Padmanabhan Rajan, Aroor Dinesh Dileep

Proceedings of the 25th European Signal Processing Conference, 2017

Archetypal analysis based sparse convex sequence kernel for bird activity detection.

Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Model-based unsupervised segmentation of birdcalls from field recordings.

Anshul Thakur, Padmanabhan Rajan

Proceedings of the 10th International Conference on Signal Processing and Communication Systems, 2016

2015

Automatic articulation error detection tool for Punjabi language with aid for hearing impaired people.

Shailendra Singh, Anshul Thakur, Dharam Vir

Int. J. Speech Technol., 2015