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
11 papers · 1 filter
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
N. Ranasinghe, A. Ramanan, S. Fernando +6
Artificial Intelligence (AI) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as AI is used increasingly in real world…
High Performance Dataframes from Parallel Processing Patterns
Niranda Perera, Supun Kamburugamuve, Chathura Widanage +7
The data science community today has embraced the concept of Dataframes as the de facto standard for data representation and manipulation. Ease of use, massive operator coverage, a…
Self-Supervised Vision Transformers for Malware Detection
Sachith Seneviratne, Ridwan Shariffdeen, Sanka Rasnayaka +1
Malware detection plays a crucial role in cyber-security with the increase in malware growth and advancements in cyber-attacks. Previously unseen malware which is not determined by…
On the Convergence of Inexact Gradient Descent with Controlled Synchronization Steps
Sandushan Ranaweera, Chathuranga Weeraddana, Prathapasinghe Dharmawansa +1
We develop a gradient-like algorithm to minimize a sum of peer objective functions based on coordination through a peer interconnection network. The coordination admits two stages:…
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan +4
Accurate sleep stage classification is significant for sleep health assessment. In recent years, several machine-learning based sleep staging algorithms have been developed , and i…
HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing
Arulmolivarman Thieshanthan, Amashi Niwarthana, Pamuditha Somarathne +2
Inspired by recent improvements in point cloud processing for autonomous navigation, we focus on using hierarchical graph neural networks for processing and feature learning over l…
Sensing Eating Events in Context: A Smartphone-Only Approach
Wageesha Bangamuarachchi, Anju Chamantha, Lakmal Meegahapola +3
While the task of automatically detecting eating events has been examined in prior work using various wearable devices, the use of smartphones as standalone devices to infer eating…
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study
Thisun Dayarathna, Thamidu Muthukumarana, Yasiru Rathnayaka +4
Recently, in-bed human pose estimation has attracted the interest of researchers due to its relevance to a wide range of healthcare applications. Compared to the general problem of…
Selecting Seed Words for Wordle using Character Statistics
Nisansa de Silva
Wordle, a word guessing game rose to global popularity in the January of 2022. The goal of the game is to guess a five-letter English word within six tries. Each try provides the p…
Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images
Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka +2
Contactless and efficient systems are implemented rapidly to advocate preventive methods in the fight against the COVID-19 pandemic. Despite the positive benefits of such systems,…
Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data
Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva +1
The relationship between Facebook posts and the corresponding reaction feature is an interesting subject to explore and understand. To achieve this end, we test state-of-the-art Si…