An empirical study of the effect of learning styles on the faults found during the software requirements inspection. - Anurag Goswami; Gursimran S. Walia (ISSRE, 2013)

Improving the Cost Effectiveness of Software Inspection Teams: An Empirical Investigation. - Anurag Goswami; Gursimran S. Walia (SEKE, 2014)

Using Learning Styles of Software Professionals to Improve Their Inspection Team Performance. - Anurag Goswami; Gursimran Singh Walia; Abhinav Singh (Int. J. Softw. Eng. Knowl. Eng., 2015)

Using Eye Tracking to Investigate Reading Patterns and Learning Styles of Software Requirement Inspectors to Enhance Inspection Team Outcome. - Anurag Goswami; Gursimran S. Walia; Mark E. McCourt; Ganesh Padmanabhan (ESEM, 2016)

Using Learning Styles to Staff and Improve Software Inspection Team Performance. - Anurag Goswami; Gursimran S. Walia; Urvashi Rathod (ISSRE Workshops, 2016)

Validating Requirements Reviews by Introducing Fault-Type Level Granularity: A Machine Learning Approach. - Maninder Singh; Vaibhav K. Anu; Gursimran S. Walia; Anurag Goswami (ISEC, 2018)

Using Supervised Learning to Guide the Selection of Software Inspectors in Industry. - Maninder Singh; Gursimran Singh Walia; Anurag Goswami (ISSRE Workshops, 2018)

A comprehensive survey on model compression and acceleration. - Tejalal Choudhary; Vipul Kumar Mishra; Anurag Goswami; Jagannathan Sarangapani (Artif. Intell. Rev., 2020)

FNDNet - A deep convolutional neural network for fake news detection. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang; Soumendu Sinha (Cogn. Syst. Res., 2020)

MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (COMAD/CODS, 2021)

A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (ICAART (2), 2021)

A Heuristic-Driven and Cost Effective Majority/ Minority Logic Synthesis for Post-CMOS Emerging Technology. - Vipul Kumar Mishra; Mayank Dixit; Tejalal Choudhary; Anurag Goswami; Manjit Kaur; Omar Cheikhrouhou; Habib Hamam (IEEE Access, 2021)

A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices. - Tejalal Choudhary; Vipul Kumar Mishra; Anurag Goswami; Jagannathan Sarangapani (Comput. Biol. Medicine, 2021)

FakeBERT: Fake news detection in social media with a BERT-based deep learning approach. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (Multim. Tools Appl., 2021)

EchoFakeD: improving fake news detection in social media with an efficient deep neural network. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (Neural Comput. Appl., 2021)

DeepFakE: improving fake news detection using tensor decomposition-based deep neural network. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (J. Supercomput., 2021)

Outdoor Monocular Depth Estimation: A Research Review. - Pulkit Vyas; Chirag Saxena; Anwesh Badapanda; Anurag Goswami (CoRR, 2022)

Inference-aware convolutional neural network pruning. - Tejalal Choudhary; Vipul Kumar Mishra; Anurag Goswami; Jagannathan Sarangapani (Future Gener. Comput. Syst., 2022)

Heuristic-based automatic pruning of deep neural networks. - Tejalal Choudhary; Vipul Kumar Mishra; Anurag Goswami; Jagannathan Sarangapani (Neural Comput. Appl., 2022)

AENeT: an attention-enabled neural architecture for fake news detection using contextual features. - Vidit Jain; Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang; Yashvardhan Sharma (Neural Comput. Appl., 2022)

HSDH: Detection of Hate Speech on social media with an effective deep neural network for code-mixed Hinglish data. - Rohit Kumar Kaliyar; Anurag Goswami; Ujali Sharma; Kanika Kanojia; Mohit Agrawal (ICCCNT, 2023)

Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification. - Tejalal Choudhary; Shubham Gujar; Anurag Goswami; Vipul Mishra; Tapas Badal (Appl. Intell., 2023)

Adaptive windowing based recurrent neural network for drift adaption in non-stationary environment. - Shubhangi Suryawanshi; Anurag Goswami; Pramod Patil; Vipul Kumar Mishra (J. Ambient Intell. Humaniz. Comput., 2023)

Comparative Evaluation of Pre-Trained Models for Hate Speech Detection on Social Media. - Mohini Chakarverti; Anurag Goswami; Ashima Yadav (ICCCNT, 2024)

FakeIDCA: Fake news detection with incremental deep learning based concept drift adaption. - Shubhangi Suryawanshi; Anurag Goswami; Pramod Patil (Multim. Tools Appl., 2024)

Understanding the Use and Abuse of Social Media: Generalized Fake News Detection With a Multichannel Deep Neural Network. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang; Vinay Chamola (IEEE Trans. Comput. Soc. Syst., 2024)