177 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nisansa de Silva3 profiles24 · h 15
- A. Perera9 · h 11
- R. Rodrigo9 · h 14
- Surangika Ranathunga2 profiles8 · h 15
- Tharaka Samarasinghe6 · h 13
- Uthayasanker Thayasivam6 · h 12
- Gathika Ratnayaka5 · h 8
- G. Dias5 · h 10
- I. Perera2 profiles5 · h 24
- P. Jayasekara5 · h 9
- S. Fernando2 profiles5 · h 11
- Buddhi Ayesha4 · h 6
- National University of SingaporeSG7 papers
- The University of MelbourneAU7 papers
- University of ColomboLK6 papers
- École Polytechnique Fédérale de LausanneCH4 papers
- UNSW SydneyAU4 papers
- Boise State UniversityUS3 papers
- Carnegie Mellon UniversityUS3 papers
- Idiap Research InstituteCH3 papers
- Stanford UniversityUS3 papers
- University of RuhunaLK3 papers
- University of Southern QueenslandAU3 papers
- WSO2 (Sri Lanka)LK3 papers
10 papers · 1 filter
CGRA4ML: A Hardware/Software Framework to Implement Neural Networks for Scientific Edge Computing
G Abarajithan, Zhenghua Ma, Ravidu Munasinghe +2
The scientific community increasingly relies on machine learning (ML) for near-sensor processing, leveraging its strengths in tasks such as pattern recognition, anomaly detection,…
M2DS: Multilingual Dataset for Multi-document Summarisation
Kushan Hewapathirana, Nisansa de Silva, C. D. Athuraliya
In the rapidly evolving digital era, there is an increasing demand for concise information as individuals seek to distil key insights from various sources. Recent attention from re…
Aspect-Based Sentiment Analysis Techniques: A Comparative Study
Dineth Jayakody, Koshila Isuranda, A V A Malkith +4
Since the dawn of the digitalisation era, customer feedback and online reviews are unequivocally major sources of insights for businesses. Consequently, conducting comparative anal…
SHADE: Semantic Hypernym Annotator for Domain-specific Entities -- DnD Domain Use Case
Akila Peiris, Nisansa de Silva
Manual data annotation is an important NLP task but one that takes considerable amount of resources and effort. In spite of the costs, labeling and categorizing entities is essenti…
SpotKube: Cost-Optimal Microservices Deployment with Cluster Autoscaling and Spot Pricing
Dasith Edirisinghe, Kavinda Rajapakse, Pasindu Abeysinghe +1
Microservices architecture, known for its agility and efficiency, is an ideal framework for cloud-based software development and deployment. When integrated with containerization a…
Fine Tuning Named Entity Extraction Models for the Fantasy Domain
Aravinth Sivaganeshan, Nisansa de Silva
Named Entity Recognition (NER) is a sequence classification Natural Language Processing task where entities are identified in the text and classified into predefined categories. It…
Comparative Evaluation of Traditional and Deep Learning-Based Segmentation Methods for Spoil Pile Delineation Using UAV Images
Sureka Thiruchittampalam, Bikram P. Banerjee, Nancy F. Glenn +1
The stability of mine dumps is contingent upon the precise arrangement of spoil piles, taking into account their geological and geotechnical attributes. Yet, on-site characterisati…
An Evaluation of Calibrated and Uncalibrated High-Resolution RGB Data in Time Series Analysis for Coal Spoil Characterisation: A Comparative Study
Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F Glenn +1
Minor errors in the spoil deposition process, such as placing stronger materials with higher shear strength over weaker ones, can lead to potential dump failure. Irregular depositi…
A Comparative Study with Traditional and Transfer Learning-enhanced Machine Learning Algorithms for Geotechnical Characterisation of Coal Spoil
Sureka Thiruchittampalam, Kuruparan Shanmugalingam, Bikram P Banarjee +2
The characterisation of materials is a prerequisite for evaluating and predicting the stability of mining waste dumps. Over the past three decades, the BHP Mitsubishi Alliance Coal…
Moving Object Based Collision-Free Video Synopsis
Anton Jeran Ratnarajah, Sahani Goonetilleke, Dumindu Tissera +2
Video synopsis, summarizing a video to generate a shorter video by exploiting the spatial and temporal redundancies, is important for surveillance and archiving. Existing trajector…