Peer-Reviewed Publications (* – Graduate Students)

– Journal Publication, – Conference Publication

2021

Jain, V., Kaliyar, R.*, Narang, P., Goswami, A., Sharma, Y., “AENeT: An Attention Enabled Neural Architecture for Fake News Detection using Contextual Features”, Neural Computing and Applications. [IF: 5.60 SCI].
ACCEPTED

Mishra, V., Dixit, M, Choudhary, T.*, Goswami, A., Kaur, M., Cheikhrouhou, O., and Hamam, H., “A Heuristic-Driven and Cost-Effective Majority/Minority Logic Synthesis for Post-CMOS Emerging Technologies”, IEEE Access [IF: 3.74 SCIE].
DOI: 10.1109/ACCESS.2021.3079310

Choudhary T.*, Mishra V., Goswami A., and Sarangapani J., “A Transfer Learning with Structured Filter Pruning Approach for Improved Breast Cancer Classification on Point-of-Care Devices“, Computers in Biology and Medicine, Vol. 134, Elsevier (2021). [IF: 4.58 SCI]
DOI: 10.1016/j.compbiomed.2021.104432

Kaliyar, R.* Fitwe, R. P and Goswami, A., “Classification of Hoax/NonHoax News Article Using an Effective Deep Neural Network”, Proceedings of the 5th IEEE International Conference on Computing Methodologies and Communication (ICCMC 2021) 08-10, April 2021, Tamil Nadu, India.
DOI: 10.1109/ICCMC51019.2021.9418282

Kaliyar R.*, Goswami A., and Narang P, “EchoFakeD: Improving Fake News Detection in Social Media with An Efficient Deep Neural Network, Neural Computing and Applications (2021), Volume 33, Issue 14, Pages 8597 – 8613, Springer (2021). [IF: 5.60 SCI]
DOI: 10.1007/s00521-020-05611-1

Kaliyar R.*, Goswami A., and Narang P, “A Hybrid Model for Effective Fake News Detection with a Novel COVID-19”, Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021), February 4-6, Vienna, Austria.
DOI: 10.5220/0010316010661072

Kaliyar R.*, Goswami A., and Narang P, “FakeBERT: Fake News Detection in Social Media with a BERT-based Deep Learning Approach, Multimedia Tools and Applications, Volume 80, Issue 8, Pages 11765–11788, Springer (2021). [IF: 2.75 SCI]
DOI: 10.1007/s11042-020-10183-2

Kaliyar R.*, Goswami A., and Narang P, “MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset”, Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (CODS-COMAD) 2021 (8th ACM IKDD CODS and 26th COMAD), January 2-4, Bangalore, India.
DOI: 10.1145/3430984.3431064

2020

Asudani M., Mishra V., and Goswami A.,A 2D ResU-net Powered Segmentation of Thoracic Organs at Risk using Computed Tomography Images”, Proceedings of the 10th Springer International Advance Computing Conference IAAC 2020, December 5-6, Goa, Panaji, India.
DOI: 10.1007/978-981-16-0401-0_4

Suryawanshi S.*, Goswami A., and Patil P.,Incremental Ensemble of One class classifier for Data Streams with Concept drift adaption”, Proceedings of the 10th Springer International Advance Computing Conference IAAC 2020, December 5-6, Goa, Panaji, India.
DOI: 10.1007/978-981-16-0401-0_31

Choudhary T.*, Gurjar S., Panchal K., Sarvjeet, Mishra V., and Goswami A.,A deep learning-based transfer learning approach for the bird species classification”, Proceedings of the 10th Springer International Advance Computing Conference IAAC 2020, December 5-6, Goa, Panaji, India.
DOI: 10.1007/978-981-16-0404-1_4

Choudhary T.*, Mishra V., and Goswami A.,DualPrune: A dual purpose pruning of convolutional neural networks for resource-constrained devices”, Proceedings of the 10th Springer International Advance Computing Conference IAAC 2020, December 5-6, Goa, Panaji, India.
DOI: 10.1007/978-981-16-0401-0_30

Kaliyar R.*, Singh R., Sai L., Sudarshan M., Goswami A., and Garg, D., “RumEval2020-An Effective Approach for Rumour Detection with a Deep Hybrid C-LSTM Model”, Proceedings of the 10th Springer International Advance Computing Conference IAAC 2020, December 5-6, Goa, Panaji, India.
DOI: 10.1007/978-981-16-0401-0_23

Kaliyar R.*, Mohnot A., Raghul R., VK P., Goswami A., Singh N. and Dash P., “MultiDeepFake: Improving Fake News Detection with a Deep Convolutional Neural Network using a Multimodal Dataset”, Proceedings of the 10th Springer International Advance Computing Conference IAAC 2020, December 5-6, Goa, Panaji, India.
DOI: 10.1007/978-981-16-0401-0_20

Kaliyar R.*, Goswami A., and Narang P, “DeepFakE- Improving Fake News Detection using Tensor Decomposition-based Deep Neural Network, The Journal of Supercomputing, Volume 77, Issue 2, Pages 1015–1037, Springer (2020). [IF: 2.47 SCI]
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, Volume 53, Issue 7, Pages 5113–5155, Springer (2020). [IF: 8.13 SCI]
DOI: 10.1007/s10462-020-09816-7

Kaliyar R.*, Goswami A., and Narang P., and Sinha S., “FNDNet- A Deep Convolutional Neural Network for Fake News Detection”, Cognitive Systems Research, Volume 61, Pages 32-44, Elsevier (2020). [IF: 3.5 SCI]
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.
DOI: 10.18260/1-2–28498

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.
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. 
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. [IF: 0.88 SCIE]
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.

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.

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. 
DOI: 10.1109/ISSRE.2013.6698886
BEST RESEARCH PAPER AWARD

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