activity
20182024
most citedAn Artificial Intelligence Framework for Bidding Optimization with Uncertainty in Multiple Frequency Reserve Markets

59 citations · 97 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2024★ 1 cited

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams

Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran +3

This paper introduces a novel approach, evolutionary multi-objective optimisation for fairness-aware self-adjusting memory classifiers, designed to enhance fairness in machine lear…

cs.AI2023★ 3 cited

Language Models for Business Optimisation with a Real World Case Study in Production Scheduling

Pivithuru Thejan Amarasinghe, Su Nguyen, Yuan Sun +1

Business optimisation has been used extensively to determine optimal solutions for challenging business operations. Problem formulation is an important part of business optimisatio…

cs.AI2021

Hyperseed: Unsupervised Learning with Vector Symbolic Architectures

Evgeny Osipov, Sachin Kahawala, Dilantha Haputhanthri +4

Motivated by recent innovations in biologically-inspired neuromorphic hardware, this article presents a novel unsupervised machine learning algorithm named Hyperseed that draws on…

cs.SE2021★ 2 cited

An Artificial Intelligence Life Cycle: From Conception to Production

Daswin De Silva, Damminda Alahakoon

Drawing on our experience of more than a decade of AI in academic research, technology development, industry engagement, postgraduate teaching, doctoral supervision and organisatio…

cs.AI2021★ 59 cited

An Artificial Intelligence Framework for Bidding Optimization with Uncertainty in Multiple Frequency Reserve Markets

Thimal Kempitiya, Seppo Sierla, Daswin De Silva +3

The global ambitions of a carbon-neutral society necessitate a stable and robust smart grid that capitalises on frequency reserves of renewable energy. Frequency reserves are resou…

cs.CL2019★ 17 cited

Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs

Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa +5

People express their opinions and emotions freely in social media posts and online reviews that contain valuable feedback for multiple stakeholders such as businesses and political…

cs.IR2018

Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics

Supun Abeysinghe, Isura Manchanayake, Chamod Samarajeewa +5

Social media has gained an immense popularity over the last decade. People tend to express opinions about their daily encounters on social media freely. These daily encounters incl…

cs.IR2018★ 15 cited

Automatic event detection in microblogs using incremental machine learning

Tharindu Rukshan Bandaragoda, Daswin De Silva, Damminda Alahakoon

The global popularity of microblogs has led to an increasing accumulation of large volumes of text data on microblogging platforms such as Twitter. These corpora are untapped resou…