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Regular version of the site
Article
Efficient indexing of peptides for database search using Tide

Acquaye F. L., Kertesz-Farkas A., Stafford Noble W.

Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 577-584.

Article
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets

Makhalova T., Kuznetsov S., Napoli A.

Data Mining and Knowledge Discovery. 2022. P. 108-145.

Book chapter
Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion

Zhirayr Hayrapetyan, Nascimento S., Trevor F. et al.

In bk.: Information Systems and Technologies: WorldCIST 2022, Volume 2. Iss. 469. Springer, 2022. P. 141-147.

Book chapter
Ontology-Controlled Automated Cumulative Scaffolding for Personalized Adaptive Learning

Dudyrev F., Neznanov A., Anisimova K.

In bk.: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II. Springer, 2022. P. 436-439.

Book chapter
Triclustering in Big Data Setting

Egurnov D., Точилкин Д. С., Ignatov D. I.

In bk.: Complex Data Analytics with Formal Concept Analysis. Springer, 2022. P. 239-258.

Article
Triclusters of Close Values for the Analysis of 3D Data

Egurnov D., Ignatov D. I.

Automation and Remote Control. 2022. Vol. 83. No. 6. P. 894-902.

Article
Deep Convolutional Neural Networks Help Scoring Tandem Mass Spectrometry Data in Database-Searching Approaches

Kudriavtseva P., Kashkinov M., Kertész-Farkas A.

Journal of Proteome Research. 2021. Vol. 20. No. 10. P. 4708-4717.

Article
Language models for some extensions of the Lambek calculus

Kanovich M., Kuznetsov S., Scedrov A.

Information and Computation. 2022. Vol. 287.

Lectures by Bernhard Ganter at HSE

In September a series of lectures by Bernhard Ganter, Professor at the Dresden University of Technology will take place at HSE.

Bernhard Ganter received his PhD in 1974 from the University of Darmstadt, Germany. He became a Professor of mathematics in 1978, and a Full Professor at Dresden University in 1993. He also worked as Head of the Algebra Institute in the Math department. Originally, his research interests were in discrete mathematics and in universal algebra. Around 1980, he was a member of Rudolf Wille's research group that  invented Formal Concept Analysis. This field has since then turned out to be useful for the formal treatment of data and knowledge. Currently, he is working on connections to other fields of knowledge processing. Professor Ganter is author of numerous articles and reports and invited speaker at many international conferences.

The book ‘Formal Concept Analysis: Mathematical Foundations by Bernhard Ganter and Rudolf Wille became one of the most popular textbooks on formal concept analysis. It gives a systematic presentation of the mathematical foundations and their relations to applications in computer science, especially in data analysis and knowledge processing.

Bernhard Ganter is founder and director of a unique mathematical museum Erlebnisland Mathematik in Dresden. The museum's exhibits represent mathematical theories, facts and results that you can feel, see, hear, or experience at your own risk.