( en | de | ru )

 

Disambiguation of "Goswami, Anurag"

Author of the publication

copydeleteadd this publication to your clipboard
Using Eye Tracking to Investigate Reading Patterns and Learning Styles of Software Requirement Inspectors to Enhance Inspection Team Outcome.

, , , and . ESEM, page 34:1-34:10. ACM, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Chandan Goswami

Shyamal Goswami

Anurag Gupta

Devrishi Goswami

Panchali Goswami

 

Other publications of authors with the same name

Using Supervised Learning to Guide the Selection of Software Inspectors in Industry., , and . ISSRE Workshops, page 12-17. IEEE Computer Society, (2018)Understanding the Use and Abuse of Social Media: Generalized Fake News Detection With a Multichannel Deep Neural Network., , , and . IEEE Trans. Comput. Soc. Syst., 11 (4): 4878-4887 (August 2024)MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset., , and . COMAD/CODS, page 437. ACM, (2021)Using Learning Styles to Staff and Improve Software Inspection Team Performance., , and . ISSRE Workshops, page 9-12. IEEE Computer Society, (2016)Improving the Cost Effectiveness of Software Inspection Teams: An Empirical Investigation., and . SEKE, page 735-739. Knowledge Systems Institute Graduate School, (2014)Using Learning Styles of Software Professionals to Improve their Inspection Team Performance., , and . SEKE, page 680-685. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2015)Inference-aware convolutional neural network pruning., , , and . Future Gener. Comput. Syst., (2022)HSDH: Detection of Hate Speech on social media with an effective deep neural network for code-mixed Hinglish data., , , , and . ICCCNT, page 1-6. IEEE, (2023)A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices., , , and . Comput. Biol. Medicine, (2021)Heuristic-based automatic pruning of deep neural networks., , , and . Neural Comput. Appl., 34 (6): 4889-4903 (2022)