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, 2024, Bifet, Albert; Davis, Jesse; Krilavičius, Tomas; Kull, Meelis; Ntoutsi, Eirini; Žliobaitė, Indrė, Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part VII, 124-142, . A4 Conference proceedings -
Patterns of Competitive Exclusion in the Mammalian Fossil Record
Galbrun, Esther; Hermansen, Jo Skeie; Žliobaitė, Indrė, 2023, Casanovas-Vilar, Isaac; van den Hoek Ostende, Lars W; Janis, Christine M; Saarinen, Juha, Evolution of Cenozoic Land Mammal Faunas and Ecosystems: 25 Years of the NOW Database of Fossil Mammals, 131-141. A3 Book section, Chapters in research books -
Serenade: An Approach for Differentially Private Greedy Redescription Mining
Karjalainen, Maiju; Galbrun, Esther; Miettinen, Pauli, 2023, Goethals, Bart; Robardet, Céline; Siebes, Arno , 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), 31-46, . 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, 1, 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, 5, 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, 2021, -, Proceedings: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 1295-1299, . 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