Ashima Yadav

According to our database, Ashima Yadav authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

ETMA: Efficient Transformer-Based Multilevel Attention Framework for Multimodal Fake News Detection.

Ashima Yadav, Shivani Gaba, Haneef Khan, Ishan Budhiraja, Akansha Singh, Krishna Kant Singh

IEEE Trans. Comput. Soc. Syst., August, 2024

An emotion-driven, transformer-based network for multimodal fake news detection.

Ashima Yadav, Anika Gupta

Int. J. Multim. Inf. Retr., March, 2024

2023

A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities.

Shivani Tufchi, Ashima Yadav, Tanveer Ahmed

Int. J. Multim. Inf. Retr., December, 2023

An Analytical Insight of Discussions and Sentiments of Indians on Omicron-Driven Third Wave of COVID-19.

Deepika Vatsa, Ashima Yadav, Prabhishek Singh, Manoj Diwakar

SN Comput. Sci., November, 2023

Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems.

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

Sensors, February, 2023

A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis.

Ashima Yadav, Dinesh Kumar Vishwakarma

ACM Trans. Multim. Comput. Commun. Appl., January, 2023

A framework of fake news detection on web platform using ConvNet.

Dinesh Kumar Vishwakarma, Priyanka Meel, Ashima Yadav, Kuldeep Singh

Soc. Netw. Anal. Min., 2023

Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging.

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

Sensors, 2023

2022

A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis.

Ashima Yadav, Dinesh Kumar Vishwakarma

ACM Trans. Internet Techn., 2022

ETMA: Efficient Transformer Based Multilevel Attention framework for Multimodal Fake News Detection.

Ashima Yadav, Shivani Gaba, Ishan Budhiraja, Neeraj Kumar

CoRR, 2022

Automated Deep Learning Based Approach for Albinism Detection.

Rahul Nijhawan, Manya Juneja, Namneet Kaur, Ashima Yadav, Ishan Budhiraja

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022

2020

A deep learning architecture of RA-DLNet for visual sentiment analysis.

Ashima Yadav, Dinesh Kumar Vishwakarma

Multim. Syst., 2020

A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis.

Ashima Yadav, Dinesh Kumar Vishwakarma

CoRR, 2020

A comparative study on bio-inspired algorithms for sentiment analysis.

Ashima Yadav, Dinesh Kumar Vishwakarma

Clust. Comput., 2020

A unified framework of deep networks for genre classification using movie trailer.

Ashima Yadav, Dinesh Kumar Vishwakarma

Appl. Soft Comput., 2020

Sentiment analysis using deep learning architectures: a review.

Ashima Yadav, Dinesh Kumar Vishwakarma

Artif. Intell. Rev., 2020

A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification.

Ashima Yadav, Dinesh Kumar Vishwakarma

Proceedings of the 11th International Conference on Computing, 2020

A Weighted Text Representation framework for Sentiment Analysis of Medical Drug Reviews.

Ashima Yadav, Dinesh Kumar Vishwakarma

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

2019

Detection and veracity analysis of fake news via scrapping and authenticating the web search.

Dinesh Kumar Vishwakarma, Deepika Varshney, Ashima Yadav

Cogn. Syst. Res., 2019

XRA-Net Framework for Visual Sentiments Analysis.

Ashima Yadav, Ayush Agarwal, Dinesh Kumar Vishwakarma

Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

Multimodal Sentiment Analysis via RNN variants.

Ayush Agarwal, Ashima Yadav, Dinesh Kumar Vishwakarma

Proceedings of the 2019 IEEE International Conference on Big Data, 2019