Anurag Goswami

30 papers A 2C 2Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FusionNet: A bias-aware multimodal deep learning framework for detecting misinformation in noisy social media environments. Knowl. Based Syst. Mohini Chakarverti, Anurag Goswami, Rohit Kumar Kaliyar
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`	Modeling self-supervised learning for handling the concept drift with Ternary-Adaptive Ensemble. Appl. Soft Comput. Shubhangi Suryawanshi, Anurag Goswami, Pramod Patil
2024	—	`conf`	Comparative Evaluation of Pre-Trained Models for Hate Speech Detection on Social Media. ICCCNT Mohini Chakarverti, Anurag Goswami, Ashima Yadav
2024	J	`jnl`	FakeIDCA: Fake news detection with incremental deep learning based concept drift adaption. Multim. Tools Appl. Shubhangi Suryawanshi, Anurag Goswami, Pramod Patil
2024	J	`jnl`	Understanding the Use and Abuse of Social Media: Generalized Fake News Detection With a Multichannel Deep Neural Network. IEEE Trans. Comput. Soc. Syst. Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Vinay Chamola
2023	J	`jnl`	Adaptive windowing based recurrent neural network for drift adaption in non-stationary environment. J. Ambient Intell. Humaniz. Comput. Shubhangi Suryawanshi, Anurag Goswami, Pramod Patil, Vipul Kumar Mishra
2023	J	`jnl`	Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification. Appl. Intell. Tejalal Choudhary, Shubham Gujar, Anurag Goswami, Vipul Mishra, Tapas Badal
2023	—	`conf`	HSDH: Detection of Hate Speech on social media with an effective deep neural network for code-mixed Hinglish data. ICCCNT Rohit Kumar Kaliyar, Anurag Goswami, Ujali Sharma, Kanika Kanojia, Mohit Agrawal
2022	J	`jnl`	AENeT: an attention-enabled neural architecture for fake news detection using contextual features. Neural Comput. Appl. Vidit Jain, Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Yashvardhan Sharma
2022	J	`jnl`	Heuristic-based automatic pruning of deep neural networks. Neural Comput. Appl. Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani
2022	J	`jnl`	Inference-aware convolutional neural network pruning. Future Gener. Comput. Syst. Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani
2022	J	`jnl`	Outdoor Monocular Depth Estimation: A Research Review. CoRR Pulkit Vyas, Chirag Saxena, Anwesh Badapanda, Anurag Goswami
2021	J	`jnl`	A Heuristic-Driven and Cost Effective Majority/ Minority Logic Synthesis for Post-CMOS Emerging Technology. IEEE Access Vipul Kumar Mishra, Mayank Dixit, Tejalal Choudhary, Anurag Goswami, Manjit Kaur, Omar Cheikhrouhou, Habib Hamam
2021	—	`conf`	A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset. ICAART (2) Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
2021	J	`jnl`	A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices. Comput. Biol. Medicine Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani
2021	J	`jnl`	DeepFakE: improving fake news detection using tensor decomposition-based deep neural network. J. Supercomput. Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
2021	J	`jnl`	EchoFakeD: improving fake news detection in social media with an efficient deep neural network. Neural Comput. Appl. Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
2021	J	`jnl`	FakeBERT: Fake news detection in social media with a BERT-based deep learning approach. Multim. Tools Appl. Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
2021	—	`conf`	MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset. COMAD/CODS Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
2020	J	`jnl`	A comprehensive survey on model compression and acceleration. Artif. Intell. Rev. Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani
2020	J	`jnl`	FNDNet - A deep convolutional neural network for fake news detection. Cogn. Syst. Res. Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Soumendu Sinha
2018	—	`conf`	Using Supervised Learning to Guide the Selection of Software Inspectors in Industry. ISSRE Workshops Maninder Singh, Gursimran Singh Walia, Anurag Goswami
2018	—	`conf`	Validating Requirements Reviews by Introducing Fault-Type Level Granularity: A Machine Learning Approach. ISEC Maninder Singh, Vaibhav K. Anu, Gursimran S. Walia, Anurag Goswami
2016	A	`conf`	Using Eye Tracking to Investigate Reading Patterns and Learning Styles of Software Requirement Inspectors to Enhance Inspection Team Outcome. ESEM Anurag Goswami, Gursimran S. Walia, Mark E. McCourt, Ganesh Padmanabhan
2016	—	`conf`	Using Learning Styles to Staff and Improve Software Inspection Team Performance. ISSRE Workshops Anurag Goswami, Gursimran S. Walia, Urvashi Rathod
2015	J	`jnl`	Using Learning Styles of Software Professionals to Improve Their Inspection Team Performance. Int. J. Softw. Eng. Knowl. Eng. Anurag Goswami, Gursimran Singh Walia, Abhinav Singh
2015	C	`conf`	Using Learning Styles of Software Professionals to Improve their Inspection Team Performance. SEKE Anurag Goswami, Gursimran S. Walia, Abhinav Singh
2014	C	`conf`	Improving the Cost Effectiveness of Software Inspection Teams: An Empirical Investigation. SEKE Anurag Goswami, Gursimran S. Walia
2013	A	`conf`	An empirical study of the effect of learning styles on the faults found during the software requirements inspection. ISSRE Anurag Goswami, Gursimran S. Walia