Anurag Goswami

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 24

Top Topics

Tensor Decomposition

Learning Styles

Top Venues

Neural Comput. Appl.

Multim. Tools Appl.

ISSRE Workshops

Publications

Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Vinay Chamola
Understanding the Use and Abuse of Social Media: Generalized Fake News Detection With a Multichannel Deep Neural Network. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Shubhangi Suryawanshi, Anurag Goswami, Pramod Patil
FakeIDCA: Fake news detection with incremental deep learning based concept drift adaption. Multim. Tools Appl. 83 (10) (2024)
Tejalal Choudhary, Shubham Gujar, Anurag Goswami, Vipul Mishra, Tapas Badal
Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification. Appl. Intell. 53 (6) (2023)
Rohit Kumar Kaliyar, Anurag Goswami, Ujali Sharma, Kanika Kanojia, Mohit Agrawal
HSDH: Detection of Hate Speech on social media with an effective deep neural network for code-mixed Hinglish data. ICCCNT (2023)
Shubhangi Suryawanshi, Anurag Goswami, Pramod Patil, Vipul Kumar Mishra
Adaptive windowing based recurrent neural network for drift adaption in non-stationary environment. J. Ambient Intell. Humaniz. Comput. 14 (10) (2023)
Vidit Jain, Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Yashvardhan Sharma
AENeT: an attention-enabled neural architecture for fake news detection using contextual features. Neural Comput. Appl. 34 (1) (2022)
Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani
Heuristic-based automatic pruning of deep neural networks. Neural Comput. Appl. 34 (6) (2022)
Pulkit Vyas, Chirag Saxena, Anwesh Badapanda, Anurag Goswami
Outdoor Monocular Depth Estimation: A Research Review. CoRR (2022)
Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani
Inference-aware convolutional neural network pruning. Future Gener. Comput. Syst. 135 (2022)
Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset. ICAART (2) (2021)
Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
DeepFakE: improving fake news detection using tensor decomposition-based deep neural network. J. Supercomput. 77 (2) (2021)
Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
EchoFakeD: improving fake news detection in social media with an efficient deep neural network. Neural Comput. Appl. 33 (14) (2021)
Tejalal Choudhary, Vipul Mishra, Anurag Goswami, Jagannathan Sarangapani
A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices. Comput. Biol. Medicine 134 (2021)
Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
FakeBERT: Fake news detection in social media with a BERT-based deep learning approach. Multim. Tools Appl. 80 (8) (2021)
Vipul Kumar Mishra, Mayank Dixit, Tejalal Choudhary, Anurag Goswami, Manjit Kaur, Omar Cheikhrouhou, Habib Hamam
A Heuristic-Driven and Cost Effective Majority/ Minority Logic Synthesis for Post-CMOS Emerging Technology. IEEE Access 9 (2021)
Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset. COMAD/CODS (2021)
Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Soumendu Sinha
FNDNet - A deep convolutional neural network for fake news detection. Cogn. Syst. Res. 61 (2020)
Tejalal Choudhary, Vipul Mishra, Anurag Goswami, Jagannathan Sarangapani
A comprehensive survey on model compression and acceleration. Artif. Intell. Rev. 53 (7) (2020)
Maninder Singh, Vaibhav K. Anu, Gursimran S. Walia, Anurag Goswami
Validating Requirements Reviews by Introducing Fault-Type Level Granularity: A Machine Learning Approach. ISEC (2018)
Maninder Singh, Gursimran Singh Walia, Anurag Goswami
Using Supervised Learning to Guide the Selection of Software Inspectors in Industry. ISSRE Workshops (2018)
Anurag Goswami, Gursimran S. Walia, Urvashi Rathod
Using Learning Styles to Staff and Improve Software Inspection Team Performance. ISSRE Workshops (2016)
Anurag Goswami, Gursimran S. Walia, Mark McCourt, Ganesh Padmanabhan
Using Eye Tracking to Investigate Reading Patterns and Learning Styles of Software Requirement Inspectors to Enhance Inspection Team Outcome. ESEM (2016)
Anurag Goswami, Gursimran S. Walia, Abhinav Singh
Using Learning Styles of Software Professionals to Improve their Inspection Team Performance. SEKE (2015)
Anurag Goswami, Gursimran Singh Walia, Abhinav Singh
Using Learning Styles of Software Professionals to Improve Their Inspection Team Performance. Int. J. Softw. Eng. Knowl. Eng. 25 (9-10) (2015)
Anurag Goswami, Gursimran S. Walia
Improving the Cost Effectiveness of Software Inspection Teams: An Empirical Investigation. SEKE (2014)
Anurag Goswami, Gursimran S. Walia
An empirical study of the effect of learning styles on the faults found during the software requirements inspection. ISSRE (2013)