| Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet loss A Thakur, D Thapar, P Rajan, A Nigam The Journal of the Acoustical Society of America 146 (1), 534-547, 2019 | 14 | 2019 |
| Compressed convex spectral embedding for bird species classification A Thakur, V Abrol, P Sharma, P Rajan 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 11 | 2018 |
| Rényi entropy based mutual information for semi-supervised bird vocalization segmentation A Thakur, V Abrol, P Sharma, P Rajan 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 11 | 2017 |
| Archetypal analysis based sparse convex sequence kernel for bird activity detection V Abrol, P Sharma, A Thakur, P Rajan, AD Dileep, AK Sao 2017 25th European Signal Processing Conference (EUSIPCO), 1774-1778, 2017 | 11 | 2017 |
| Predicting glaucoma before onset using deep learning A Thakur, M Goldbaum, S Yousefi Ophthalmology Glaucoma 3 (4), 262-268, 2020 | 10 | 2020 |
| A layer-wise score level ensemble framework for acoustic scene classification A Singh, A Thakur, P Rajan, A Bhavsar 2018 26th European Signal Processing Conference (EUSIPCO), 837-841, 2018 | 8 | 2018 |
| ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM. P Sharma, V Abrol, A Thakur Interspeech, 3299-3303, 2018 | 7 | 2018 |
| Rapid bird activity detection using probabilistic sequence kernels A Thakur, R Jyothi, P Rajan, AD Dileep 2017 25th European Signal Processing Conference (EUSIPCO), 1754-1758, 2017 | 7 | 2017 |
| Model-based unsupervised segmentation of birdcalls from field recordings A Thakur, P Rajan 2016 10th International Conference on Signal Processing and Communication …, 2016 | 7 | 2016 |
| Convex representations using deep archetypal analysis for predicting glaucoma A Thakur, M Goldbaum, S Yousefi IEEE Journal of Translational Engineering in Health and Medicine 8, 1-7, 2020 | 6 | 2020 |
| Deep archetypal analysis based intermediate matching kernel for bioacoustic classification A Thakur, P Rajan IEEE Journal of Selected Topics in Signal Processing 13 (2), 298-309, 2019 | 6 | 2019 |
| Deep Convex Representations: Feature Representations for Bioacoustics Classification. A Thakur, V Abrol, P Sharma, P Rajan INTERSPEECH, 2127-2131, 2018 | 6 | 2018 |
| Local compressed convex spectral embedding for bird species identification A Thakur, V Abrol, P Sharma, P Rajan The Journal of the Acoustical Society of America 143 (6), 3819-3828, 2018 | 4 | 2018 |
| All-cony net for bird activity detection: Significance of learned pooling A Pankajakshan, A Thakttr, D Thapar, P Rajan, A Nigam | 4 | 2018 |
| Glaucoma precognition: Recognizing preclinical visual functional signs of glaucoma K Gupta, A Thakur, M Goldbaum, S Yousefi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| GMM-AA system for acoustic scene classification V Abrol, P Sharma, A Thakur Tech. Rep., DCASE2017 Challenge, Tech. Rep, 2017 | 3 | 2017 |
| Automatic articulation error detection tool for Punjabi language with aid for hearing impaired people S Singh, A Thakur, D Vir International Journal of Speech Technology 18 (2), 143-156, 2015 | 3 | 2015 |
| Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss A Thakur, D Thapar, P Rajan, A Nigam arXiv preprint arXiv:1903.10713, 2019 | 2 | 2019 |
| APE: Archetypal-Prototypal Embeddings for Audio Classification A Singh, A Thakur, P Rajan 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 2 | 2018 |
| Predicting glaucoma prior to its onset using deep learning A Thakur, MH Goldbaum, S Yousefi Investigative Ophthalmology & Visual Science 61 (7), 876-876, 2020 | 1 | 2020 |
