| FakeBERT: Fake news detection in social media with a BERT-based deep learning approach RK Kaliyar, A Goswami, P Narang Multimedia Tools and Applications 80 (8), 11765-11788, 2021 | 479 | 2021 |
| A comprehensive survey on model compression and acceleration T Choudhary, V Mishra, A Goswami, J Sarangapani Artificial Intelligence Review 53, 5113-5155, 2020 | 373 | 2020 |
| FNDNet–A deep convolutional neural network for fake news detection RK Kaliyar, A Goswami, P Narang, S Sinha Cognitive Systems Research 61, 32-44, 2020 | 358 | 2020 |
| DeepFakE: improving fake news detection using tensor decomposition-based deep neural network RK Kaliyar, A Goswami, P Narang The Journal of Supercomputing 77 (2), 1015-1037, 2021 | 138 | 2021 |
| EchoFakeD: improving fake news detection in social media with an efficient deep neural network RK Kaliyar, A Goswami, P Narang Neural computing and applications 33, 8597-8613, 2021 | 71 | 2021 |
| Multiclass Fake News Detection using Ensemble Machine Learning RK Kaliyar, A Goswami, P Narang 2019 IEEE 9th International Conference on Advanced Computing (IACC), 103-107, 2019 | 57 | 2019 |
| A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices T Choudhary, V Mishra, A Goswami, J Sarangapani Computers in Biology and Medicine 134, 104432, 2021 | 45 | 2021 |
| AENeT: an attention-enabled neural architecture for fake news detection using contextual features V Jain, RK Kaliyar, A Goswami, P Narang, Y Sharma Neural Computing and Applications 34 (1), 771-782, 2022 | 38 | 2022 |
| Email Spam Detection: An Empirical Comparative Study of Different ML and Ensemble Classifiers S Suryawanshi, A Goswami, P Patil 2019 IEEE 9th International Conference on Advanced Computing (IACC), 69-74, 2019 | 31 | 2019 |
| A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset. RK Kaliyar, A Goswami, P Narang ICAART (2), 1066-1072, 2021 | 28 | 2021 |
| Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification T Choudhary, S Gujar, A Goswami, V Mishra, T Badal Applied Intelligence 53 (6), 7201-7215, 2023 | 24 | 2023 |
| Validating requirements reviews by introducing fault-type level granularity: A machine learning approach M Singh, V Anu, GS Walia, A Goswami Proceedings of the 11th Innovations in Software Engineering Conference, 1-11, 2018 | 21 | 2018 |
| Pitfree: Pot-holes detection on Indian Roads using Mobile Sensors G Singal, A Goswami, S Gupta, T Choudhary 2018 IEEE 8th International Advance Computing Conference (IACC), 185-190, 2018 | 17 | 2018 |
| MCNNet: generalizing fake news detection with a multichannel convolutional neural network using a novel COVID-19 dataset RK Kaliyar, A Goswami, P Narang Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021 | 15 | 2021 |
| Using eye tracking to investigate reading patterns and learning styles of software requirement inspectors to enhance inspection team outcome A Goswami, G Walia, M McCourt, G Padmanabhan Proceedings of the 10th ACM/IEEE International Symposium on Empirical …, 2016 | 15 | 2016 |
| Teaching Software Requirements Inspections to Software Engineering Students through Practical Training and Reflection A Goswami, GS Walia The ASEE Computers in Education (CoED) Journal 7 (4), 2, 2016 | 15 | 2016 |
| Using Learning Styles of Software Professionals to Improve their Inspection Team Performance A Goswami, G Walia, A Singh International Journal of Software Engineering and Knowledge Engineering 25 …, 2015 | 15 | 2015 |
| Inference-aware convolutional neural network pruning T Choudhary, V Mishra, A Goswami, J Sarangapani Future Generation Computer Systems 135, 44-56, 2022 | 14 | 2022 |
| An empirical study of the effect of learning styles on the faults found during the software requirements inspection A Goswami, G Walia 2013 IEEE 24th International Symposium on Software Reliability Engineering …, 2013 | 14 | 2013 |
| An Empirical Investigation to Overcome Class-imbalance in Inspection Reviews M Singh, GS Walia, A Goswami 2017 International Conference on Machine Learning and Data Science (MLDS), 15-22, 2017 | 10 | 2017 |
Dr Rohit Kumar KaliyarAssistant Professor, Bennett UniversityVerified email at bennett.edu.in
