Y. H. P. P. Priyadarshana
Orcid: 0000-0002-4319-3944
  According to our database1,
  Y. H. P. P. Priyadarshana
  authored at least 13 papers
  between 2017 and 2025.
  
  
Collaborative distances:
Collaborative distances:
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Bibliography
  2025
GEM: graph attention encoder for multi-task depression severity detection in multi-party conversations.
    
  
    Soc. Netw. Anal. Min., December, 2025
    
  
Who Says What (WSW) 2.0: Utterance Semantic Modelling for Speaker Identification in Text-Based Multi-Party Conversations.
    
  
    SN Comput. Sci., August, 2025
    
  
Swa-bhasha Resource Hub: Romanized Sinhala to Sinhala Transliteration Systems and Data Resources.
    
  
    CoRR, July, 2025
    
  
    Frontiers Artif. Intell., 2025
    
  
ExDoRA: enhancing the transferability of large language models for depression detection using free-text explanations.
    
  
    Frontiers Artif. Intell., 2025
    
  
Time series forecasting-based Kubernetes autoscaling using Facebook Prophet and Long Short-Term Memory.
    
  
    Frontiers Comput. Sci., 2025
    
  
  2024
    Frontiers Digit. Health, 2024
    
  
ProDepDet: Out-of-domain Knowledge Transfer of Pre-trained Large Language Models for Depression Detection in Text-Based Multi-Party Conversations.
    
  
    Proceedings of the International Joint Conference on Neural Networks, 2024
    
  
Transferring Large Language Models for Depression Detection through Multi-Party Conversation Analysis.
    
  
    Proceedings of the IEEE International Conference on E-health Networking, 2024
    
  
  2023
Who Says What (WSW): A Novel Model for Utterance-Aware Speaker Identification in Text-Based Multi-Party Conversations.
    
  
    Proceedings of the 19th International Conference on Web Information Systems and Technologies, 2023
    
  
HelaDepDet: A Novel Multi-class Classification Model for Detecting the Severity of Human Depression.
    
  
    Proceedings of the Collaboration Technologies and Social Computing, 2023
    
  
  2021
    Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021
    
  
  2017
Verb Sentiment Scoring: A Novel Approach for Sentiment Analysis Based on Adjective-Verb-Adverb Combinations.
    
  
    Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017