Tom Hanika
Scholar

Tom Hanika

Google Scholar ID: xHb6ViUAAAAJ
Institute of Computer Science, University of Hildesheim
Knowledge DiscoveryUnsupervised Machine LearningExplainable AILatticesFCA
Citations & Impact
All-time
Citations
355
 
H-index
11
 
i10-index
14
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • Published 'Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research' in Transactions on Machine Learning Research; 'Ordinal motifs in lattices' in Information Sciences; Involved in research on divergent selection in a Mediterranean pine on local spatial scales, published in Journal of Ecology.
Research Experience
  • Visiting Scientist (level W2) at University of Hildesheim, Research Associate (on leave) at University of Kassel, Temporary Lecturer at Humboldt-Universität zu Berlin. Senior developer of the social publication sharing system BibSonomy and maintainer of the FCA-tool conexp-clj.
Background
  • Research interests include the foundations and applications of explainable artificial intelligence, (interactive) extraction of knowledge from explicit and implicit data using machine learning procedures. Particularly interested in semantics arising from implicational theories in complex and large data, lattice orders, and ordinal-metric spaces. High-dimensional problems are of special interest as they represent a current challenge for the effectiveness of learning procedures. Also very interested in unsupervised learning from large text corpora and applications of his methods in Biology, Geography, Physics, Digital Humanities, and more.