Veerappa Pagi

Employment

• Basaveshwar Engineering College Professor
  1999 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Sentiment analysis with deep neural networks: comparative study and performance assessment
  Artificial Intelligence Review 2020 DOI: 10.1007/s10462-020-09845-2
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• A Deep Recursive Neural Network Model for Fine-Grained Opinion Classification
  Communications in Computer and Information Science 2019 DOI: 10.1007/978-981-13-9187-3_54
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• A multi-layer approach to opinion polarity classification using augmented semantic tree kernels
  Journal of Experimental and Theoretical Artificial Intelligence 2019 DOI: 10.1080/0952813X.2018.1549108
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• Severity analysis of motorcycle faults based on acoustic signals
  Lecture Notes in Networks and Systems 2018 DOI: 10.1007/978-981-10-5146-3_5
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• Empirical study of features and classifiers for fault diagnosis in motorcycles based on acoustic signals
  Proceedings of the 2015 International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2015 2016 DOI: 10.1109/ICATCCT.2015.7456966
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• An acoustic approach for multiple fault diagnosis in motorcycles
  Proceedings of the IEEE International Conference on Soft-Computing and Network Security, ICSNS 2015 2015 DOI: 10.1109/ICSNS.2015.7292413
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• Fault localization in motorcycles using wavelet packet energy distribution
  Proceedings of the IEEE International Conference on Soft-Computing and Network Security, ICSNS 2015 2015 DOI: 10.1109/ICSNS.2015.7292391
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• Acoustic signal based detection and localisation of faults in motorcycles
  IET Intelligent Transport Systems 2014 DOI: 10.1049/iet-its.2012.0193
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• Acoustic signal-based approach for fault detection in motorcycles using chaincode of the pseudospectrum and dynamic time warping classifier
  IET Intelligent Transport Systems 2014 DOI: 10.1049/iet-its.2012.0086
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• Machine learning techniques in web content mining: A comparative analysis
  Journal of Information and Knowledge Management 2014 DOI: 10.1142/S0219649214500051
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