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ORCIDAshima Yadav
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2020 – today
- 2024
[j14]Ashima Yadav, Anika Gupta
:
An emotion-driven, transformer-based network for multimodal fake news detection. Int. J. Multim. Inf. Retr. 13(1): 7 (2024)- [j13]Ashima Yadav, Shivani Gaba, Haneef Khan, Ishan Budhiraja, Akansha Singh, Krishna Kant Singh:
ETMA: Efficient Transformer-Based Multilevel Attention Framework for Multimodal Fake News Detection. IEEE Trans. Comput. Soc. Syst. 11(4): 5015-5027 (2024) - 2023
- [j12]Shivani Tufchi, Ashima Yadav, Tanveer Ahmed:
A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities. Int. J. Multim. Inf. Retr. 12(2): 28 (2023) - [j11]Renisha Redij, Avneet Kaur, Pratyusha Muddaloor, Arshia K. Sethi, Keirthana Aedma, Anjali Rajagopal, Keerthy Gopalakrishnan, Ashima Yadav, Devanshi N. Damani, Victor G. Chedid, Xiao Jing Wang, Christopher A. Aakre, Alexander J. Ryu, Shivaram Poigai Arunachalam:
Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems. Sensors 23(4): 2302 (2023) - [j10]Arshia K. Sethi, Pratyusha Muddaloor, Priyanka Anvekar, Joshika Agarwal, Anmol Mohan, Mansunderbir Singh, Keerthy Gopalakrishnan, Ashima Yadav, Aakriti Adhikari, Devanshi N. Damani, Kanchan Kulkarni, Christopher A. Aakre, Alexander J. Ryu, Vivek N. Iyer, Shivaram Poigai Arunachalam:
Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging. Sensors 23(12): 5514 (2023) - [j9]Dinesh Kumar Vishwakarma, Priyanka Meel, Ashima Yadav, Kuldeep Singh:
A framework of fake news detection on web platform using ConvNet. Soc. Netw. Anal. Min. 13(1): 24 (2023) - [j8]Deepika Vatsa, Ashima Yadav, Prabhishek Singh, Manoj Diwakar:
An Analytical Insight of Discussions and Sentiments of Indians on Omicron-Driven Third Wave of COVID-19. SN Comput. Sci. 4(6): 791 (2023) - [j7]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 15:1-15:19 (2023) - 2022
- [j6]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis. ACM Trans. Internet Techn. 22(1): 28:1-28:30 (2022) - [c5]Rahul Nijhawan, Manya Juneja, Namneet Kaur, Ashima Yadav, Ishan Budhiraja:
Automated Deep Learning Based Approach for Albinism Detection. RTIP2R 2022: 272-281 - [i3]Ashima Yadav, Shivani Gaba, Ishan Budhiraja, Neeraj Kumar:
ETMA: Efficient Transformer Based Multilevel Attention framework for Multimodal Fake News Detection. CoRR abs/2206.07331 (2022) - 2020
- [j5]Ashima Yadav, Dinesh Kumar Vishwakarma:
Sentiment analysis using deep learning architectures: a review. Artif. Intell. Rev. 53(6): 4335-4385 (2020) - [j4]Ashima Yadav, Dinesh Kumar Vishwakarma:
A unified framework of deep networks for genre classification using movie trailer. Appl. Soft Comput. 96: 106624 (2020) - [j3]Ashima Yadav, Dinesh Kumar Vishwakarma:
A comparative study on bio-inspired algorithms for sentiment analysis. Clust. Comput. 23(4): 2969-2989 (2020) - [j2]Ashima Yadav, Dinesh Kumar Vishwakarma:
A deep learning architecture of RA-DLNet for visual sentiment analysis. Multim. Syst. 26(4): 431-451 (2020) - [c4]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Weighted Text Representation framework for Sentiment Analysis of Medical Drug Reviews. BigMM 2020: 326-332 - [c3]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification. ICCCNT 2020: 1-6 - [i2]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis. CoRR abs/2011.10358 (2020) - [i1]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis. CoRR abs/2012.08256 (2020)
2010 – 2019
- 2019
- [j1]Dinesh Kumar Vishwakarma, Deepika Varshney, Ashima Yadav:
Detection and veracity analysis of fake news via scrapping and authenticating the web search. Cogn. Syst. Res. 58: 217-229 (2019) - [c2]Ayush Agarwal, Ashima Yadav, Dinesh Kumar Vishwakarma:
Multimodal Sentiment Analysis via RNN variants. BCD 2019: 19-23 - [c1]Ashima Yadav, Ayush Agarwal, Dinesh Kumar Vishwakarma:
XRA-Net Framework for Visual Sentiments Analysis. BigMM 2019: 219-224
Coauthor Index
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