Thashmee Karunaratne

15 papers C 2Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Framework for Efficient Semantic Elicitation of EU-Wide Evidence for Public Services.
Digit. Gov. Res. Pract.
Ana Rosa Guzmán Carbonell, Thashmee Karunaratne
2024 — conf
Holistic understanding of digital transformation of health care system as a point-of-departure for system requirements specification (short paper).
EGOV-CeDEM-ePart-*
Thashmee Karunaratne, Workneh Ayele, Aron Larsson, Luigi Assom, Gisele Züniga
2024 J jnl
TEADASH: Implementing and Evaluating a Teacher-Facing Dashboard Using Design Science Research.
Informatics
Ngoc Buu Cat Nguyen, Marcus Lithander, Christian Master Östlund, Thashmee Karunaratne, William Jobe
2024 J jnl
Where Is the Teacher in Data Analytics in Education?: Evaluating the Maturity of Analytics Solutions and Frameworks Supporting Teachers.
Int. J. Emerg. Technol. Learn.
Ngoc Buu Cat Nguyen, Thashmee Karunaratne
2021 J jnl
Yes! I Want My Non-Cognitive Skills to Be Improved: Perceptions on an ICT-Enabled Learning Journey.
Int. J. Emerg. Technol. Learn.
Maria Petritsopoulou, Thashmee Karunaratne, Myrsini Glinos
2020 J jnl
Effect of Inadequate Self-Organized Teams in Agile Project Management: A Case Study From the Oil and Gas Industry.
Int. J. Inf. Technol. Proj. Manag.
Sindre Gjøystdal, Thashmee Karunaratne
2020 J jnl
Learning Analytics for Blended Learning: A Systematic Review of Theory, Methodology, and Ethical Considerations.
Int. J. Learn. Anal. Artif. Intell. Educ.
Nina Bergdahl, Jalal Nouri, Thashmee Karunaratne, Muhammad Afzaal, Mohammed Saqr
2019 — conf
Experiences from Digital Learning Analytics in Finland and Sweden: A Collaborative Approach.
MIPRO
Mikko Apiola, Thashmee Karunaratne, Erkki Kaila, Mikko-Jussi Laakso
2014 — —
Learning predictive models from graph data using pattern mining.
Thashmee Karunaratne
2013 J jnl
Comparative analysis of the use of chemoinformatics-based and substructure-based descriptors for quantitative structure-activity relationship (QSAR) modeling.
Intell. Data Anal.
Thashmee Karunaratne, Henrik Boström, Ulf Norinder
2012 — conf
Can Frequent Itemset Mining Be Efficiently and Effectively Used for Learning from Graph Data?
ICMLA (1)
Thashmee Karunaratne, Henrik Boström
2010 C conf
Pre-Processing Structured Data for Standard Machine Learning Algorithms by Supervised Graph Propositionalization - A Case Study with Medicinal Chemistry Datasets.
ICMLA
Thashmee Karunaratne, Henrik Boström, Ulf Norinder
2009 C conf
Graph Propositionalization for Random Forests.
ICMLA
Thashmee Karunaratne, Henrik Boström
2007 — conf
Using Background Knowledge for Graph Based Learning: A Case Study in Chemoinformatics.
IMECS
Thashmee Karunaratne, Henrik Boström
2006 — conf
Learning to classify structured data by graph propositionalization.
Computational Intelligence
Thashmee Karunaratne, Henrik Boström