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ORCIDPulkit Sharma
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2020 – today
- 2024
[j14]Anshul Thakur
, Vinayak Abrol, Pulkit Sharma, Tingting Zhu, David A. Clifton:
Incremental Trainable Parameter Selection in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6478-6491 (2024)- 2023
- [j13]Pulkit Sharma, Rhythm Arya, Richa Verma, Bindu Verma:
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans. Multim. Tools Appl. 82(18): 28521-28545 (2023) - 2022
- [j12]Pulkit Sharma, Farah E. Shamout, Vinayak Abrol, David A. Clifton:
Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data. IEEE J. Biomed. Health Informatics 26(4): 1528-1537 (2022) - [j11]Anshul Thakur, Pulkit Sharma, David A. Clifton:
Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications. IEEE J. Biomed. Health Informatics 26(4): 1761-1772 (2022) - [c24]Anshul Thakur, Vinayak Abrol, Pulkit Sharma:
Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information? NeurReps 2022: 111-121 - 2021
- [j10]Vishal Tiwari, Lokesh Kumar Verma, Pulkit Sharma, Rachna Jain, Preeti Nagrath:
Neural network and NLP based chatbot for answering COVID-19 queries. Int. J. Intell. Eng. Informatics 9(2): 161-175 (2021) - [j9]Vinayak Abrol, Pulkit Sharma, Arijit Patra:
Improving Generative Modelling in VAEs Using Multimodal Prior. IEEE Trans. Multim. 23: 2153-2161 (2021) - 2020
- [j8]Vinayak Abrol, Pulkit Sharma:
Learning Hierarchy Aware Embedding From Raw Audio for Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1964-1973 (2020) - [j7]Farah E. Shamout, Tingting Zhu, Pulkit Sharma, Peter J. Watkinson, David A. Clifton:
Deep Interpretable Early Warning System for the Detection of Clinical Deterioration. IEEE J. Biomed. Health Informatics 24(2): 437-446 (2020) - [c23]Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao:
Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter. ER (Workshops) 2020: 35-45 - [c22]Vinayak Abrol, Pulkit Sharma:
A Geometric Approach to Archetypal Analysis via Sparse Projections. ICML 2020: 42-51 - [i6]Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao:
Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter. CoRR abs/2010.06734 (2020)
2010 – 2019
- 2019
- [c21]Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan:
CONV-codes: Audio Hashing for Bird Species Classification. ICASSP 2019: 8241-8245 - [i5]Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan:
Conv-codes: Audio Hashing For Bird Species Classification. CoRR abs/1902.02498 (2019) - [i4]Pulkit Sharma, Farah E. Shamout, David A. Clifton:
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality. CoRR abs/1912.00354 (2019) - 2018
- [j6]Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao:
Sparse coding based features for speech units classification. Comput. Speech Lang. 47: 333-350 (2018) - [j5]Pulkit Sharma, Vinayak Abrol, Nivedita, Anil Kumar Sao:
Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation. Comput. Speech Lang. 52: 191-208 (2018) - [c20]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan:
Compressed Convex Spectral Embedding for Bird Species Classification. ICASSP 2018: 261-265 - [c19]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan:
Deep Convex Representations: Feature Representations for Bioacoustics Classification. INTERSPEECH 2018: 2127-2131 - [c18]Pulkit Sharma, Vinayak Abrol, Anshul Thakur:
ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM. INTERSPEECH 2018: 3299-3303 - [i3]Laing Lourens, Arijit Patra, Luqmaan Hassim, Faheem Sima, Avashlin Moodley, Pulkit Sharma:
Water quality information dissemination at real-time in South Africa using language modelling. CoRR abs/1812.09745 (2018) - 2017
- [j4]Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao:
Deep-Sparse-Representation-Based Features for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(11): 2162-2175 (2017) - [c17]Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao:
Class specific GMM based sparse feature for speech units classification. EUSIPCO 2017: 528-532 - [c16]Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao:
Archetypal analysis based sparse convex sequence kernel for bird activity detection. EUSIPCO 2017: 1774-1778 - [c15]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm. ICASSP 2017: 4436-4440 - [c14]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan:
Rényi entropy based mutual information for semi-supervised bird vocalization segmentation. MLSP 2017: 1-6 - 2016
- [j3]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Greedy dictionary learning for kernel sparse representation based classifier. Pattern Recognit. Lett. 78: 64-69 (2016) - [j2]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Greedy double sparse dictionary learning for sparse representation of speech signals. Speech Commun. 85: 71-82 (2016) - [c13]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Making sense of randomness: Fast signal recovery from compressive samples. EUSIPCO 2016: 56-60 - [c12]Pulkit Sharma, Vinayak Abrol, Abhijeet Sachdev, Aroor Dinesh Dileep:
Speech emotion recognition using kernel sparse representation based classifier. EUSIPCO 2016: 374-377 - [c11]Vinayak Abrol, Pulkit Sharma, Shahrooz Faghih Roohi, Anil Kumar Sao, Ashraf A. Kassim:
Fast and robust FMRI unmixing using hierarchical dictionary learning. ICIP 2016: 714-718 - [c10]Pulkit Sharma, Mohammad S. Hashmi:
A novel design of a Dual Functionality Read-Write driver for SRAM. SoCC 2016: 280-285 - [c9]Pulkit Sharma, R. Anusha, K. Bharath, Jasmine Kaur Gulati, Preet K. Walia, Sumit Jagdish Darak:
Quantification of figures of merit of 7T and 8T SRAM cells in subthreshold region and their comparison with the conventional 6T SRAM cell. VDAT 2016: 1-2 - [c8]Pulkit Sharma, Anil Kumar Gundu, Mohammad S. Hashmi:
Modeling and yield estimation of SRAM sub-system for different capacities subjected to parametric variations. VDAT 2016: 1-6 - [i2]Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang:
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR abs/1609.04167 (2016) - 2015
- [j1]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Voiced/nonvoiced detection in compressively sensed speech signals. Speech Commun. 72: 194-207 (2015) - [c7]Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao:
Compressed sensing for unit selection based speech synthesis. EUSIPCO 2015: 1731-1735 - [c6]Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao:
Sparse coding based features for speech units classification. INTERSPEECH 2015: 712-715 - [c5]Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao:
Supervised speech enhancement using compressed sensing. NCC 2015: 1-5 - [i1]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Making sense of randomness: an approach for fast recovery of compressively sensed signals. CoRR abs/1507.07077 (2015) - 2014
- [c4]Vinayak Abrol, Pulkit Sharma:
Radio model for sector coded transmission protocol. WOCN 2014: 1-6 - 2013
- [c3]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Speech enhancement using compressed sensing. INTERSPEECH 2013: 3274-3278 - [c2]Pulkit Sharma, Vinayak Abrol:
Optimized cluster head selection & rotation for cooperative spectrum sensing in Cognitive Radio Networks. WOCN 2013: 1-5 - [c1]Pulkit Sharma, Vinayak Abrol:
Individual vs cooperative spectrum sensing for Cognitive Radio Networks. WOCN 2013: 1-5
Coauthor Index
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last updated on 2024-05-19 01:00 CEST by the dblp team
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