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Ayush Agarwal
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2020 – today
- 2024
- [c31]Ayush Agarwal, Janak Kapuriya, Shubham Agrawal, Akhil Vamshi Konam, Mansi Goel, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler:
Deep Learning Based Named Entity Recognition Models for Recipes. LREC/COLING 2024: 4542-4554 - [c30]Rishith Sadashiv T. N., Ayush Agarwal, S. R. Mahadeva Prasanna:
Fake Speech Detection in Domain Variability Scenario. NCC 2024: 1-6 - [i8]Mansi Goel, Ayush Agarwal, Shubham Agrawal, Janak Kapuriya, Akhil Vamshi Konam, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler:
Deep Learning Based Named Entity Recognition Models for Recipes. CoRR abs/2402.17447 (2024) - [i7]Ayush Agarwal, Lv Lu, Arjun Maheswaran, Varsha Mahadevan, Bhaskar Krishnamachari:
RiskSEA : A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain. CoRR abs/2410.02160 (2024) - 2023
- [c29]Akshay Sethi, Sonia Gupta, Ayush Agarwal, Nancy Agrawal, Siddhartha Asthana:
Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data. IJCNN 2023: 1-8 - [c28]Lalaram Arya, Ayush Agarwal, S. R. Mahadeva Prasanna:
Investigation Of Data Augmentation Techniques For Bi-LSTM Based Direct Speech To Speech Translation. NCC 2023: 1-6 - [c27]Pranav Poduval, Gaurav Oberoi, Sangam Verma, Ayush Agarwal, Karamjit Singh, Siddhartha Asthana:
BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning. ECML/PKDD (4) 2023: 728-743 - [c26]Rishith Sadashiv T. N., Devesh Kumar, Ayush Agarwal, Moakala Tzudir, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Source and System-Based Modulation Approach for Fake Speech Detection. SPECOM (1) 2023: 142-155 - [c25]Moakala Tzudir, Rishith Sadashiv T. N., Ayush Agarwal, S. R. Mahadeva Prasanna:
Dialect Identification in Ao Using Modulation-Based Representation. SPECOM (2) 2023: 539-549 - 2022
- [c24]Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya:
CaM-Gen: Causally Aware Metric-Guided Text Generation. ACL (Findings) 2022: 2047-2060 - [c23]Dhritimaan Das, Ayush Agarwal, Pratik Chattopadhyay:
Gait Recognition from Occluded Sequences in Surveillance Sites. ECCV Workshops (5) 2022: 703-719 - [c22]Ayush Agarwal, Amitabh Swain, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Significance of Prosody Modification in Privacy Preservation on speaker verification. NCC 2022: 245-249 - [c21]Lalaram Arya, Ayush Agarwal, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Analysis of Layer-Wise Training in Direct Speech to Speech Translation Using BI-LSTM. O-COCOSDA 2022 2022: 1-6 - [c20]Ayush Agarwal, Sioli O'Connell, Jason Kim, Shaked Yehezkel, Daniel Genkin, Eyal Ronen, Yuval Yarom:
Spook.js: Attacking Chrome Strict Site Isolation via Speculative Execution. SP 2022: 699-715 - [c19]Ayush Agarwal, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Significance of excitation source sequence information for Speaker Verification. SPCOM 2022: 1-5 - [c18]Ayush Agarwal, Amitabh Swain, S. R. Mahadeva Prasanna:
Speaker Anonymization for Machines using Sinusoidal Model. SPCOM 2022: 1-5 - [c17]Devesh Kumar, Pavan Kumar V. Patil, Ayush Agarwal, S. R. Mahadeva Prasanna:
Fake Speech Detection Using OpenSMILE Features. SPECOM 2022: 404-415 - [c16]Raghav Magazine, Ayush Agarwal, Anand Hedge, S. R. Mahadeva Prasanna:
Fake Speech Detection Using Modulation Spectrogram. SPECOM 2022: 451-463 - 2021
- [j2]Ayush Agarwal, Pratik Chattopadhyay, Lipo Wang:
Privacy preservation through facial de-identification with simultaneous emotion preservation. Signal Image Video Process. 15(5): 951-958 (2021) - [c15]Anatoly Shusterman, Ayush Agarwal, Sioli O'Connell, Daniel Genkin, Yossi Oren, Yuval Yarom:
Prime+Probe 1, JavaScript 0: Overcoming Browser-based Side-Channel Defenses. USENIX Security Symposium 2021: 2863-2880 - [i6]Anatoly Shusterman, Ayush Agarwal, Sioli O'Connell, Daniel Genkin, Yossi Oren, Yuval Yarom:
Prime+Probe 1, JavaScript 0: Overcoming Browser-based Side-Channel Defenses. CoRR abs/2103.04952 (2021) - 2020
- [j1]Tanmoy Chakraborty, Noseong Park, Ayush Agarwal, V. S. Subrahmanian:
Ensemble Detection and Analysis of Communities in Complex Networks. Trans. Data Sci. 1(1): 2:1-2:34 (2020) - [c14]Avneet Kaur, Maitree Leekha, Utkarsh Chawla, Ayush Agarwal, Mudit Saxena, Nishtha Madaan, Kalapriya Kannan, Sameep Mehta:
Multidimensional Analysis of Trust in News Articles (Student Abstract). AAAI 2020: 13837-13838 - [c13]Anshuman Yadav, Aditya Garg, Anup Aglawe, Ayush Agarwal, Vivek Srivastava:
Understanding the Political Inclination of WhatsApp Chats. COMAD/CODS 2020: 361-362 - [c12]Ayush Agarwal, Aneesh Sreevallabh Chivukula, Monowar H. Bhuyan, Tony Jan, Bhuva Narayan, Mukesh Prasad:
Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting. ICONIP (5) 2020: 113-120 - [c11]Ayush Agarwal, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
VOP Detection in Variable Speech Rate Condition. INTERSPEECH 2020: 3690-3694 - [i5]Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya:
CaM-Gen: Causally-aware Metric-guided Text Generation. CoRR abs/2010.12795 (2020)
2010 – 2019
- 2019
- [c10]Ayush Agarwal, Ashima Yadav, Dinesh Kumar Vishwakarma:
Multimodal Sentiment Analysis via RNN variants. BCD 2019: 19-23 - [c9]Ashima Yadav, Ayush Agarwal, Dinesh Kumar Vishwakarma:
XRA-Net Framework for Visual Sentiments Analysis. BigMM 2019: 219-224 - [c8]Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz:
Robust Histopathology Image Analysis: To Label or to Synthesize? CVPR 2019: 8533-8542 - [c7]Abhishek Mukhopadhyay, Pradipta Biswas, Ayush Agarwal, Imon Mukherjee:
Performance Comparison of Different CNN models for Indian Road Dataset. ICGSP 2019: 29-33 - [i4]Mansi Goel, Ayush Agarwal, Deepak Thukral, Tanmoy Chakraborty:
Fiducia: A Personalized Food Recommender System for Zomato. CoRR abs/1903.10117 (2019) - [i3]Dhritimaan Das, Ayush Agarwal, Pratik Chattopadhyay, Lipo Wang:
RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles. CoRR abs/1912.06765 (2019) - 2018
- [c6]Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty:
DyPerm: Maximizing Permanence for Dynamic Community Detection. PAKDD (1) 2018: 437-449 - [i2]Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty:
DyPerm: Maximizing Permanence for Dynamic Community Detection. CoRR abs/1802.04593 (2018) - 2017
- [i1]Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz:
Unsupervised Histopathology Image Synthesis. CoRR abs/1712.05021 (2017) - 2016
- [c5]Ayush Agarwal, Mohit P. Tahiliani:
BCON: Back pressure based congestion avoidance model for Named Data Networks. ANTS 2016: 1-5 - [c4]Akshay Sethi, Akshat Sinha, Ayush Agarwal, Chetan Arora, Anubha Gupta:
Deep neural networks for segmentation of basal ganglia sub-structures in brain MR images. ICVGIP 2016: 20:1-20:7 - 2012
- [c3]Usha Banerjee, Gaurav Bora, Gaurav Batra, Ayush Agarwal:
A novel software system to facilitate better and easier communication for people with speaking disabilities. ICACCI 2012: 168-173 - 2010
- [c2]Nitin, Pradeep Kumar Naik, Anitya Nijhara, Shantanu Agarwal, Ayush Agarwal, Shweta Malik, Ujjawal Khandelwal:
A Case Tool for Prediction of Squamousal Cancerous and Non-Cancerous Cells using DIP and ANN. BIOCOMP 2010: 841-846 - [c1]Ankit Sabharwal, Ayush Agarwal, Harsh Lohia, Nitin:
Enhancing Dynamic Web Applications Using a Multi-Level Indexed Query Caching Scheme. International Conference on Internet Computing 2010: 290-295
Coauthor Index
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last updated on 2024-11-11 21:31 CET by the dblp team
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