Ashima Yadav

28 papers Journal 19Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving fake news detection concatenating multimodal features with transformers-based deep learning models.
Online Soc. Networks Media
Mohini Chakarverti, Anurag Goswami, Rohit Kumar Kaliyar, Ashima Yadav
2025 J jnl
AMTCF: an advanced multimodal transformer and ConvNext fusion for contextualized fake news detection in digital landscape.
Lang. Resour. Evaluation
Shivani Tufchi, Ashima Yadav, Tanveer Ahmed
2024 — conf
Advanced Multi-Model Approach for Robust Image-Based Fake News Detection: A Comparative Study of Different Image Models.
ICCCNT
Shivani Tufchi, Ashima Yadav, Tanveer Ahmed
2024 J jnl
An emotion-driven, transformer-based network for multimodal fake news detection.
Int. J. Multim. Inf. Retr.
Ashima Yadav, Anika Gupta
2024 — conf
Comparative Evaluation of Pre-Trained Models for Hate Speech Detection on Social Media.
ICCCNT
Mohini Chakarverti, Anurag Goswami, Ashima Yadav
2024 — conf
Cross-Linguistic Hate Speech Detection with Transformer Architectures: A Comparative Analysis.
ICCCNT
Ashima Yadav, Aanchal Mittal, Navya Jain
2024 J jnl
ETMA: Efficient Transformer-Based Multilevel Attention Framework for Multimodal Fake News Detection.
IEEE Trans. Comput. Soc. Syst.
Ashima Yadav, Shivani Gaba, Haneef Khan, Ishan Budhiraja, Akansha Singh, Krishna Kant Singh
2024 — conf
Unmasking Deception: Leveraging advanced Transformer model for detecting Fake images on the Web.
ICCCNT
Rameshwari Vadhvani, Ashima Yadav
2023 J jnl
A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis.
ACM Trans. Multim. Comput. Commun. Appl.
Ashima Yadav, Dinesh Kumar Vishwakarma
2023 J jnl
A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities.
Int. J. Multim. Inf. Retr.
Shivani Tufchi, Ashima Yadav, Tanveer Ahmed
2023 J jnl
A framework of fake news detection on web platform using ConvNet.
Soc. Netw. Anal. Min.
Dinesh Kumar Vishwakarma, Priyanka Meel, Ashima Yadav, Kuldeep Singh
2023 J jnl
An Analytical Insight of Discussions and Sentiments of Indians on Omicron-Driven Third Wave of COVID-19.
SN Comput. Sci.
Deepika Vatsa, Ashima Yadav, Prabhishek Singh, Manoj Diwakar
2023 J jnl
Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging.
Sensors
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
2023 J jnl
Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems.
Sensors
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
2022 J jnl
A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis.
ACM Trans. Internet Techn.
Ashima Yadav, Dinesh Kumar Vishwakarma
2022 — conf
Automated Deep Learning Based Approach for Albinism Detection.
RTIP2R
Rahul Nijhawan, Manya Juneja, Namneet Kaur, Ashima Yadav, Ishan Budhiraja
2022 J jnl
ETMA: Efficient Transformer Based Multilevel Attention framework for Multimodal Fake News Detection.
CoRR
Ashima Yadav, Shivani Gaba, Ishan Budhiraja, Neeraj Kumar
2020 J jnl
A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis.
CoRR
Ashima Yadav, Dinesh Kumar Vishwakarma
2020 J jnl
A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis.
CoRR
Ashima Yadav, Dinesh Kumar Vishwakarma
2020 — conf
A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification.
ICCCNT
Ashima Yadav, Dinesh Kumar Vishwakarma
2020 — conf
A Weighted Text Representation framework for Sentiment Analysis of Medical Drug Reviews.
BigMM
Ashima Yadav, Dinesh Kumar Vishwakarma
2020 J jnl
A comparative study on bio-inspired algorithms for sentiment analysis.
Clust. Comput.
Ashima Yadav, Dinesh Kumar Vishwakarma
2020 J jnl
A deep learning architecture of RA-DLNet for visual sentiment analysis.
Multim. Syst.
Ashima Yadav, Dinesh Kumar Vishwakarma
2020 J jnl
A unified framework of deep networks for genre classification using movie trailer.
Appl. Soft Comput.
Ashima Yadav, Dinesh Kumar Vishwakarma
2020 J jnl
Sentiment analysis using deep learning architectures: a review.
Artif. Intell. Rev.
Ashima Yadav, Dinesh Kumar Vishwakarma
2019 J jnl
Detection and veracity analysis of fake news via scrapping and authenticating the web search.
Cogn. Syst. Res.
Dinesh Kumar Vishwakarma, Deepika Varshney, Ashima Yadav
2019 — conf
Multimodal Sentiment Analysis via RNN variants.
BCD
Ayush Agarwal, Ashima Yadav, Dinesh Kumar Vishwakarma
2019 — conf
XRA-Net Framework for Visual Sentiments Analysis.
BigMM
Ashima Yadav, Ayush Agarwal, Dinesh Kumar Vishwakarma