177 citations
- 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
cktFormer: Transformer-Based Approach for Automated Analog Circuit Design
Pasindu Dodampegama, Praveen Wijesinghe, Naveen Basnayake +2
Circuit design is a complex and iterative process that requires expertise in electronic engineering. It involves selecting components while meeting performance constraints, such as…
A Novel Approach to Explainable AI with Quantized Active Ingredients in Decision Making
A. M. A. S. D. Alagiyawanna, Asoka Karunananda, Thushari Silva +1
Artificial Intelligence (AI) systems have shown good success at classifying. However, the lack of explainability is a true and significant challenge, especially in high-stakes doma…
Enhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks
A. M. A. S. D. Alagiyawanna, Asoka Karunananda, A. Mahasinghe +1
Convolutional Neural Networks (CNNs) have shown promising results in efficiency and accuracy in image classification. However, their efficacy often relies on large, labeled dataset…
Comparison of Machine Learning Models to Classify Documents on Digital Development
Uvini Ranaweera, Bawun Mawitagama, Sanduni Liyanage +3
Automated document classification is a trending topic in Natural Language Processing (NLP) due to the extensive growth in digital databases. However, a model that fits well for a s…
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…
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…