1 citations · 2 across the 10 of their papers we have counts for
12 papers
Confusion-Aware Transfer Teacher Curriculum Learning Framework: Disentangling Scoring and Pacing Effects
Savini Kommalage, Sanka Mohottala, Asiri Gawesha +5
Curriculum learning couples two design choices, how samples are scored by difficulty and how harder samples are paced into training, making it difficult to attribute observed gains…
Exploring Emergent Topological Properties in Socio-Economic Networks through Learning Heterogeneity
Chanuka Karavita, Zehua Lyu, Dharshana Kasthurirathna +1
Understanding how individual learning behavior and structural dynamics interact is essential to modeling emergent phenomena in socioeconomic networks. While bounded rationality and…
GADS: A Super Lightweight Model for Head Pose Estimation
Menan Velayuthan, Asiri Gawesha, Purushoth Velayuthan +3
In human-computer interaction, head pose estimation profoundly influences application functionality. Although utilizing facial landmarks is valuable for this purpose, existing land…
Enhancing Multilingual Sentiment Analysis with Explainability for Sinhala, English, and Code-Mixed Content
Azmarah Rizvi, Navojith Thamindu, A. M. N. H. Adhikari +3
Sentiment analysis is crucial for brand reputation management in the banking sector, where customer feedback spans English, Sinhala, Singlish, and code-mixed text. Existing models…
Keyword Extraction, and Aspect Classification in Sinhala, English, and Code-Mixed Content
F. A. Rizvi, T. Navojith, A. M. N. H. Adhikari +3
Brand reputation in the banking sector is maintained through insightful analysis of customer opinion on code-mixed and multilingual content. Conventional NLP models misclassify or…
2D Pose Estimation based Child Action Recognition
Sanka Mohottala, Sandun Abeygunawardana, Pradeepa Samarasinghe +2
We present a graph convolutional network with 2D pose estimation for the first time on child action recognition task achieving on par results with an RGB modality based model on a…
Graph Neural Network based Child Activity Recognition
Sanka Mohottala, Pradeepa Samarasinghe, Dharshana Kasthurirathna +1
This paper presents an implementation on child activity recognition (CAR) with a graph convolution network (GCN) based deep learning model since prior implementations in this domai…
Disassortative mixing of boundedly-rational players in socio-ecological systems
Prasan Ratnayake, Dharshana Kasthurirathna, Mahendra Piraveenan
Bounded rationality refers to the non-optimal rationality of players in non-cooperative games. In a networked game, the bounded rationality of players may be heterogeneous and spat…
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity
Manuela Nayantara Jeyaraj, Dharshana Kasthurirathna
Similarity is a comparative-subjective measure that varies with the domain within which it is considered. In several NLP applications such as document classification, pattern recog…
Evolutionary stable strategies in networked games: the influence of topology
Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin
Evolutionary game theory is used to model the evolution of competing strategies in a population of players. Evolutionary stability of a strategy is a dynamic equilibrium, in which…
On the influence of topological characteristics on robustness of complex networks
Dharshana Kasthurirathna, Mahendra Piraveenan, Gnanakumar Thedchanamoorthy
In this paper, we explore the relationship between the topological characteristics of a complex network and its robustness to sustained targeted attacks. Using synthesised scale-fr…
The failure tolerance of mechatronic software systems to random and targeted attacks
Dharshana Kasthurirathna, Andy Dong, Mahendrarajah Piraveenan +1
This paper describes a complex networks approach to study the failure tolerance of mechatronic software systems under various types of hardware and/or software failures. We produce…