Y. H. P. P. Priyadarshana

According to our database, Y. H. P. P. Priyadarshana authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

From shades to vibrance: a comprehensive review of modern image colorization techniques.

Oshen Geenath, Y. H. P. P. Priyadarshana

Frontiers Comput. Sci., 2026

2025

GEM: graph attention encoder for multi-task depression severity detection in multi-party conversations.

Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta

Soc. Netw. Anal. Min., December, 2025

Who Says What (WSW) 2.0: Utterance Semantic Modelling for Speaker Identification in Text-Based Multi-Party Conversations.

Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta

SN Comput. Sci., August, 2025

Swa-bhasha Resource Hub: Romanized Sinhala to Sinhala Transliteration Systems and Data Resources.

Deshan K. Sumanathilaka, Sandun Sameera Perera, Sachithya Dharmasiri, Maneesha U. Athukorala, Anuja Dilrukshi Herath, Rukshan Dias, Pasindu Gamage, Ruvan Weerasinghe, Y. H. P. P. Priyadarshana

CoRR, July, 2025

Ontology-based prompt tuning for news article summarization.

A. R. S. Silva, Y. H. P. P. Priyadarshana

Frontiers Artif. Intell., 2025

ExDoRA: enhancing the transferability of large language models for depression detection using free-text explanations.

Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta

Frontiers Artif. Intell., 2025

EmoShiftNet: a shift-aware multi-task learning framework with fusion strategies for emotion recognition in multi-party conversations.

Hinduja Nirujan, Y. H. P. P. Priyadarshana

Frontiers Artif. Intell., 2025

Time series forecasting-based Kubernetes autoscaling using Facebook Prophet and Long Short-Term Memory.

Pasan Bhanu Guruge, Y. H. P. P. Priyadarshana

Frontiers Comput. Sci., 2025

Deep federated learning: a systematic review of methods, applications, and challenges.

Lakshan Cooray, Janaka Sendanayake, Pramuditha Vithanaarachchi, Y. H. P. P. Priyadarshana

Frontiers Comput. Sci., 2025

2024

Prompt engineering for digital mental health: a short review.

Y. H. P. P. Priyadarshana, Ashala Senanayake, Zilu Liang, Ian Piumarta

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.

Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta

Proceedings of the International Joint Conference on Neural Networks, 2024

Transferring Large Language Models for Depression Detection through Multi-Party Conversation Analysis.

Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta

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.

Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta

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.

Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta

Proceedings of the Collaboration Technologies and Social Computing, 2023

2021

HelaNER: A Novel Approach for Nested Named Entity Boundary Detection.

Y. H. P. P. Priyadarshana, Lochandaka Ranathunga, C. R. J. Amalraj, Indika Perera

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.

Y. H. P. P. Priyadarshana, Lochandaka Ranathunga

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017