Peer-Reviewed Publications (* – Graduate Students)

– Journal Publication, – Conference Publication

2020

Kaliyar, R.*, Goswami, A., and Narang, P, “DeepFakE- Improving Fake News Detection using Tensor Decomposition-based Deep Neural Network”, The Journal of Supercomputing, Springer (2020).
DOI: 10.1007/s11227-020-03294-y

Choudhary, T.*, Mishra, V., Goswami, A., and Sarangapani, J., “A Comprehensive Survey on Model Compression and Acceleration“, Artificial Intelligence Review, Springer (2020)
DOI: 10.1007/s10462-020-09816-7

Kaliyar, R.*, Goswami, A., Narang, P, and Sinha S., “FNDNet- A Deep Convolutional Neural Network for Fake News Detection”, Cognitive Systems Research, Volume 61, June 2020, Pages 32-44, Elsevier (2020).
DOI: 10.1016/j.cogsys.2019.12.005

2019

Kaliyar, R.*, Goswami, A., and Narang, P., “Multiclass Fake News Detection using Ensemble Machine Learning”, Proceedings of the 9th IEEE International Advance Computing Conference IAAC 2019, December 13-14, Tiruchirapalli, Tamil Nadu, India.
DOI: 10.1109/IACC48062.2019.8971579

Suryawanshi, S.*, Goswami, A., and Patil, P., “Email Spam Detection: An Empirical Comparative Study of Different ML and Ensemble Classifiers“, Proceedings of the 9th IEEE International Advance Computing Conference IAAC 2019, December 13-14, Tiruchirapalli, Tamil Nadu, India.
DOI: 10.1109/IACC48062.2019.8971582

2018

Kaliyar, R.*Narang, P., and Goswami, A., “SMS Spam Filtering on Multiple Background Datasets Using Machine Learning Techniques: A Novel Approach“, Proceedings of the 8th IEEE International Advance Computing Conference IAAC 2018, December 14-15, Greater Noida, India.
DOI10.1109/IADCC.2018.8692097

Singal, G., Goswami, A., Gupta, S., and Choudhary, T.*, “Pitfree: Pot-holes detection on Indian Roads Using Mobile Sensors“, Proceedings of the 8th IEEE International Advance Computing Conference IAAC 2018, December 14-15, Greater Noida, India.
DOI: 10.1109/IADCC.2018.8692120

Singh, M.Walia, G., and Goswami, A., “Using Supervised Learning to Guide the Selection of Software Inspectors in Industry“, Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering ISSRE 2018, October 15-18, Memphis, USA.
DOI: 10.1109/ISSREW.2018.00-38
BEST DISRUPTIVE IDEA AWARD RUNNER UP

Singh, M., Vaibhav, A., Walia, G., and Goswami, A., “Validating Requirements Reviews by Introducing Fault-Type Level Granularity: A Machine Learning Approach”, 11th ACMInnovations in Software Engineering Conference, ISEC 2018, Feb 9-11, Hyderabad, India.
DOI: 1145/3172871.3172880

2017

Singh, M.Walia, G., and Goswami, A., “An Empirical Investigation to Overcome Class-imbalance in Inspection Reviews”, IEEE International Conference on Machine Learning and Data Science, ICMLDS 2017, December 14 – 15, 2017, Greater Noida, India.
DOI: 1109/MLDS.2017.15

Singh, M.Walia, G., and Goswami, A., “Validation of Inspection Reviews over Variable Features Set Threshold”, IEEE International Conference on Machine Learning and Data Science, ICMLDS 2017, December 14 – 15, 2017, Greater Noida, India.
DOI:1109/MLDS.2017.16

Goswami, A., Walia, G., McCourt M., and Padmanabhan, G. “Improving the Requirements Inspection Abilities of Computer Science Students through Analysis of their Reading and Learning Styles“, 124th Annual ASEE Conference, June 25 – 28, 2017, Columbus, Ohio.

2013-2016

Goswami, A., Walia, G., “Teaching Software Inspections to Software Engineering Students through Practical Training and Reflection“, The ASEE Computers in Education (CoED) Journal 7.4 (2016): 2

Goswami, A., Walia, G., and Rathod, U. “Using Learning Styles to Staff and Improve Software Inspection Team Performance“, Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering ISSRE 2016, October 23-27, Ottawa, Canada. [Acceptance Rate = 34% (45/130)]
DOI: 10.1109/ISSREW.2016.38
BEST PAPER AWARD Nominee

Goswami, A., Walia, G., McCourt, M., and Padmanabhan, G. “Using Eye Tracking to Investigate Reading Patterns and Learning Styles of Software Requirement Inspectors to Enhance Inspection Team Outcomes“, Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement ESEM 2016, September 08-09, Ciudad Real, Spain. [Acceptance Rate = 22% (27/122)]
DOI: 10.1145/2961111.2962598

Goswami, A., Walia, G., “Teaching Software Inspections to Software Engineering Students through Practical Training and Reflection“, Proceedings of the 123rd American Society of Engineering Education Conference on Computer Education ASEE 2016, June 26-29, New Orleans, Louisiana, USA.
DOI: 10.18260/p.26049

Goswami, A., Walia, G., and Singh, A. “Using Learning Styles of Software Professionals to Improve their Inspection Team Performance“, International Journal on Software Engineering and Knowledge Engineering Volume 25, Issue 09n10, Pages 1721-1726, 2015.
DOI: 10.1142/S0218194015710060

Goswami, A., Walia, G., and Singh, A. “Using Learning Styles of Software Professionals to Improve their Inspection Team Performance“, Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering SEKE 2015. Pages 680-685, July 6- 8, Pittsburgh, USA.
DOI: 10.18293/SEKE2015-228

Goswami, A., Walia, G., and Abufardeh, S. “Using a Web-Based Testing Tool Repository in Programming Course: An Empirical Study”, Proceedings of the 10th WorldComp International Conference on Frontiers in Education: Computer Science and Computer Engineering FECS 2014. Pages 43-49, July 21- 24, Las Vegas, Nevada, USA. [Acceptance Rate = 27%]

Choudhary, T., and Goswami, A.Investigating the Effect of Fault Category on Overall Capture Probability during Requirements Inspection“, International Journal of Computer Science & Information Technologies, Volume 5, Issue 4, Pages 5620-5624, 2014.

Goswami, A., and Walia, G. “Using Learning Styles to Improve Cost Effectiveness of Software Inspection Teams“, Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering SEKE 2014. Pages 735-739, July 1-3, Vancouver, Canada. [Acceptance Rate = 29.6%]

Goswami, A., and Walia, G. “An Empirical Study of the Effect of Learning Styles on the Faults found During the Software Inspection“, Proceedings of the 24th IEEE International Symposium on Software Reliability Engineering ISSRE 2013. Pages 330-339, November 4-7, Pasadena, CA, USA. [Acceptance Rate = 35% (46/131)]
DOI: 10.1109/ISSRE.2013.6698886
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