Ramakrishnudu Tene

Employment

• National Institute of Technology Warangal Associate Professor
  2006 - Present

Education

• National Institute of Technology Warangal Ph.D
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Deep Learning-Based Context-Sensitive Typo Detection, Alteration in Clinical Notes
  Digital Humanities Looking at the World: Exploring Innovative Approaches and Contributions to Society 2024 DOI: 10.1007/978-3-031-48941-9_20
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• Emotion mining for early suicidal threat detection on both social media and suicide notes using context dynamic masking-based transformer with deep learning
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-024-19411-5
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• Sarcasm-based tweet-level stress detection
  Expert Systems 2024 DOI: 10.1111/exsy.13534
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• Hybrid CNN and LSTM Network For Communicable Disease Prediction
  2023 IEEE 7th Conference on Information and Communication Technology, CICT 2023 2023 DOI: 10.1109/CICT59886.2023.10455489
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• Identifying suicidal emotions on social media through transformer-based deep learning
  Applied Intelligence 2023 DOI: 10.1007/s10489-022-04060-8
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• Joint Model for Extraction of Clinical Temporal Relationships at Document level through Deep Learning
  Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 2023 DOI: 10.1109/InC457730.2023.10263169
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• A novel method for detecting psychological stress at tweet level using neighborhood tweets
  Journal of King Saud University - Computer and Information Sciences 2022 DOI: 10.1016/j.jksuci.2021.08.015
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• A Framework for Health Status Estimation Based on Daily Life Activities Data Using Machine Learning Techniques
  Machine Learning for Healthcare Applications 2021 DOI: 10.1002/9781119792611.ch2
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• An Interactive Tool for Designing End-To-End Secure Workflows
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-16-0882-7_42
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• Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model
  Expert Systems with Applications 2021 DOI: 10.1016/j.eswa.2021.115265
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