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2020 – today
- 2024
[j15]Shubhangi Suryawanshi, Anurag Goswami, Pramod Patil:
FakeIDCA: Fake news detection with incremental deep learning based concept drift adaption. Multim. Tools Appl. 83(10): 28579-28594 (2024)- [j14]Rohit Kumar Kaliyar
, Anurag Goswami, Pratik Narang, Vinay Chamola:
Understanding the Use and Abuse of Social Media: Generalized Fake News Detection With a Multichannel Deep Neural Network. IEEE Trans. Comput. Soc. Syst. 11(4): 4878-4887 (2024) - 2023
- [j13]Tejalal Choudhary, Shubham Gujar, Anurag Goswami, Vipul Mishra, Tapas Badal:
Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification. Appl. Intell. 53(6): 7201-7215 (2023) - [j12]Shubhangi Suryawanshi, Anurag Goswami, Pramod Patil, Vipul Kumar Mishra:
Adaptive windowing based recurrent neural network for drift adaption in non-stationary environment. J. Ambient Intell. Humaniz. Comput. 14(10): 14125-14139 (2023) - [c10]Rohit Kumar Kaliyar, Anurag Goswami, Ujali Sharma, Kanika Kanojia, Mohit Agrawal:
HSDH: Detection of Hate Speech on social media with an effective deep neural network for code-mixed Hinglish data. ICCCNT 2023: 1-6 - 2022
- [j11]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
Inference-aware convolutional neural network pruning. Future Gener. Comput. Syst. 135: 44-56 (2022) - [j10]Vidit Jain, Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Yashvardhan Sharma:
AENeT: an attention-enabled neural architecture for fake news detection using contextual features. Neural Comput. Appl. 34(1): 771-782 (2022) - [j9]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
Heuristic-based automatic pruning of deep neural networks. Neural Comput. Appl. 34(6): 4889-4903 (2022) - [i1]Pulkit Vyas, Chirag Saxena, Anwesh Badapanda, Anurag Goswami:
Outdoor Monocular Depth Estimation: A Research Review. CoRR abs/2205.01399 (2022) - 2021
- [j8]Vipul Kumar Mishra, Mayank Dixit, Tejalal Choudhary, Anurag Goswami, Manjit Kaur, Omar Cheikhrouhou, Habib Hamam:
A Heuristic-Driven and Cost Effective Majority/ Minority Logic Synthesis for Post-CMOS Emerging Technology. IEEE Access 9: 168689-168702 (2021) - [j7]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices. Comput. Biol. Medicine 134: 104432 (2021) - [j6]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
FakeBERT: Fake news detection in social media with a BERT-based deep learning approach. Multim. Tools Appl. 80(8): 11765-11788 (2021) - [j5]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
EchoFakeD: improving fake news detection in social media with an efficient deep neural network. Neural Comput. Appl. 33(14): 8597-8613 (2021) - [j4]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
DeepFakE: improving fake news detection using tensor decomposition-based deep neural network. J. Supercomput. 77(2): 1015-1037 (2021) - [c9]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset. COMAD/CODS 2021: 437 - [c8]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset. ICAART (2) 2021: 1066-1072 - 2020
- [j3]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
A comprehensive survey on model compression and acceleration. Artif. Intell. Rev. 53(7): 5113-5155 (2020) - [j2]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Soumendu Sinha:
FNDNet - A deep convolutional neural network for fake news detection. Cogn. Syst. Res. 61: 32-44 (2020)
2010 – 2019
- 2018
- [c7]Maninder Singh, Vaibhav K. Anu, Gursimran S. Walia, Anurag Goswami:
Validating Requirements Reviews by Introducing Fault-Type Level Granularity: A Machine Learning Approach. ISEC 2018: 10:1-10:11 - [c6]Maninder Singh, Gursimran Singh Walia, Anurag Goswami:
Using Supervised Learning to Guide the Selection of Software Inspectors in Industry. ISSRE Workshops 2018: 12-17 - 2016
- [c5]Anurag Goswami, Gursimran S. Walia, Mark E. McCourt, Ganesh Padmanabhan:
Using Eye Tracking to Investigate Reading Patterns and Learning Styles of Software Requirement Inspectors to Enhance Inspection Team Outcome. ESEM 2016: 34:1-34:10 - [c4]Anurag Goswami, Gursimran S. Walia, Urvashi Rathod:
Using Learning Styles to Staff and Improve Software Inspection Team Performance. ISSRE Workshops 2016: 9-12 - 2015
- [j1]Anurag Goswami, Gursimran Singh Walia, Abhinav Singh:
Using Learning Styles of Software Professionals to Improve Their Inspection Team Performance. Int. J. Softw. Eng. Knowl. Eng. 25(9-10): 1721-1726 (2015) - [c3]Anurag Goswami, Gursimran S. Walia, Abhinav Singh:
Using Learning Styles of Software Professionals to Improve their Inspection Team Performance. SEKE 2015: 680-685 - 2014
- [c2]Anurag Goswami, Gursimran S. Walia:
Improving the Cost Effectiveness of Software Inspection Teams: An Empirical Investigation. SEKE 2014: 735-739 - 2013
- [c1]Anurag Goswami, Gursimran S. Walia:
An empirical study of the effect of learning styles on the faults found during the software requirements inspection. ISSRE 2013: 330-339
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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