• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
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.

Research & Expertise – News

Members of MMCP Lab took part in AIST 2023

Members of MMCP Lab took part in AIST 2023
On September 29-30, the 11th International Conference on Image, Social Network and Text Analysis AIST 2023 was held at the College of Science and Technology of the American University of Armenia.

Muhammad Shahid Iqbal Malik presented the report at Lab's seminar

Muhammad Shahid Iqbal Malik presented the report at Lab's seminar
MMCP postdoc Muhammad Shahid Iqbal Malik presented his report at the traditional laboratory seminar.

Dmitry I. Ignatov presented his report at NTR company webinar

Dmitry I. Ignatov presented his report at NTR company webinar
On November 15, 2022  Dmitry Ignatov - laboratory Head at Laboratory for Models and Methods of Computational Pragmatics, associate Professor at School of Data Analysis and Artificial Intelligence took part in NTR company webinar.

In the talk, the speaker explained how Data Mining and Formal Concept Analysis can help to solve combinatorial problems from Lattice Theory and establish connections between seemingly unrelated algebraic objects. 

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 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.

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.

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.

9th Workshop "What Can FCA Do for Artificial Intelligence?" (FCA4AI)

9th Workshop "What Can FCA Do for Artificial Intelligence?" (FCA4AI)
21 августа 2021 г. состоялся 9-й международный семинар “What Can FCA Do for Artificial Intelligence?”.