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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.

News

Lisa Goncharova successfully defended her dissertation

Lisa Goncharova successfully defended her dissertation
On September 26, 2022, Elizaveta Goncharova defended her PhD thesis.

Nikolay Arefyev and Maxim Rachinskiy took the 1st place at LSCDiscover

Nikolay Arefyev and Maxim Rachinskiy took the 1st place at LSCDiscover
The laboratory members took 1st place in the LSCDiscovery.

International seminar "HAO Intelligence for Big Wisdom"

International seminar "HAO Intelligence for Big Wisdom"
An international seminar was held on May 6, 2022.

Attila Kertesz-Farkas successfully defended Doctoral Thesis

Attila Kertesz-Farkas successfully defended Doctoral Thesis
On May 19th, 2022, Attila Kertesz-Farkas defended the doctoral thesis.

Attila Kertesz-Farkas had a talk on FCS's Colloquium meeting

Attila Kertesz-Farkas had a talk on FCS's Colloquium meeting
 AIC LAB Head had a talk at traditional colloquium.

Dmitry Ignatov had a talk on FCS's Colloquium meeting

Dmitry Ignatov had a talk on FCS's Colloquium meeting
MMCP Lab Head presented the report at FCS colloquium.

Open Call for Postdoctoral Fellowship Positions

Open Call for Postdoctoral Fellowship Positions
The application deadline is January 31, 2022.

Seminar "Computational methods for tandem mass spectrometry data annotation"

Seminar "Computational methods for tandem mass spectrometry data annotation"
On November 26, 2021 an online seminar was held on the results of a study by the head of the laboratory Attila Kertesz-Farkas.

Faculty's Researchers to Present at EMNLP 2021

Faculty's Researchers to Present at EMNLP 2021
The annual Conference on Empirical Methods in Natural Language Processing (EMNLP) takes place on November 7-11, 2021.

Researchers Discover How to Obtain ‘Ideal’ 3D Cell Cultures for Cancer Research

Researchers Discover How to Obtain ‘Ideal’ 3D Cell Cultures for Cancer Research
A group of scientists from Hungary, Russia and Finland have developed a system capable of selecting cancer cells of a specific shape and size—spheroids. SpheroidPicker, the first AI device of its kind, enables a more standardized approach to working with tumour samples. The results of the research have been published in the journal Scientific Reports. One of researchers who worked on the project is Nikita Moshkov, Junior Research Fellow of the Laboratory on AI for Computational Biology.