Esther Galbrun
University Lecturer
School of Computing, Faculty of Science, Forestry and Technology
[email protected] | +358 50 472 9297
I work on methods for exploratory analysis.
My goal is to develop tools and techniques for mining, visualization and interaction, in order to support data-centric research in various application domains.
Research groups
Publications
8/8 items-
Fast Redescription Mining Using Locality-Sensitive Hashing
Karjalainen, Maiju; Galbrun, Esther; Miettinen, Pauli. Teoksessa: Bifet, Albert; Davis, Jesse; Krilavičius, Tomas; Kull, Meelis; Ntoutsi, Eirini: Žliobaitė, Indrė(toim.) , 2024. Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part VII. s. 124-142. Springer A4 Conference proceedings -
Patterns of Competitive Exclusion in the Mammalian Fossil Record
Galbrun, Esther; Hermansen, Jo Skeie; Žliobaitė, Indrė. Teoksessa: Casanovas-Vilar, Isaac; van den Hoek Ostende, Lars W; Janis, Christine M; Saarinen, Juha(toim.) , 2023. Evolution of Cenozoic Land Mammal Faunas and Ecosystems: 25 Years of the NOW Database of Fossil Mammals. s. 131-141. Springer A3 Book section, Chapters in research books -
Serenade: An Approach for Differentially Private Greedy Redescription Mining
Karjalainen, Maiju; Galbrun, Esther; Miettinen, Pauli. Teoksessa: Goethals, Bart; Robardet, Céline; Siebes, Arno (toim.) , 2023. KDID 2022 Knowledge Discovery in Inductive Databases 2022 : Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022). s. 31-46. CEUR A4 Conference proceedings -
The emergence of modern zoogeographic regions in Asia examined through climate–dental trait association patterns
Liu, Liping; Galbrun, Esther; Tang, Hui; Kaakinen, Anu; Zhang, Zhongshi; Zhang, Zijian; Žliobaitė, Indrė. 2023. Nature communications. 14: . 8194 A1 Journal article (refereed), original research -
The minimum description length principle for pattern mining: a survey
Galbrun, Esther. 2022. Data mining and knowledge discovery. 36: 1679-1727 A1 Journal article (refereed), original research -
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence
Bourrand, Erwan; Galarraga, Luis; Galbrun, Esther; Fromont, Elisa; Termier, Alexandre. Teoksessa: -(toim.) , 2021. Proceedings: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). s. 1295-1299. IEEE A4 Conference proceedings -
Redescription mining for analyzing local limiting conditions: A case study on the biogeography of large mammals in China and southern Asia
Galbrun, Esther; Tang, Hui; Kaakinen, Anu; ´liobaite, Indre. 2021. Ecological informatics. 63: 101314 A1 Journal article (refereed), original research -
Maximizing the Diversity of Exposure in a Social Network
Matakos, Antonis; Aslay, Cigdem; Galbrun, Esther; Gionis, Aristides. 2020. IEEE transactions on knowledge and data engineering. [Epub ahead of print 17 Nov 2020]: 1-13 A1 Journal article (refereed), original research