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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.

4th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2011)

 

June 27 - July 1, 2011

URL: http://premi11.hse.ru/

Objective:

The primary goal of the conference is to present state-of-the-art scientific results, encourage academic and industrial interaction, and promote collaborative research activities, in Pattern Recognition, Machine Intelligence and related fields, involving scientists, engineers, professionals, researchers and students. This is the first time, when the conference, which started in India in 2005 and was held every two years, comes to Eastern Europe to make it an ideal platform for people from East and West to share their views and experiences in the said areas. Papers are invited in all areas of Pattern Recognition and Machine Intelligence including but not limited to the following.

 Topics:

• Pattern Recognition • Wavelets • Remote Sensing

• Computer Vision • Mediacal Imaging

• Symbolic Data Analysis • Case Based Reasoning

• Neural Networks • Evolutionary Computing

• Machine Learning • Steganography & Digital Watermarking

• Soft Computing • Web Intelligence • Content Based Image Retrieval

• Bio-informatics • Biometrics • Computational Biology

• Cognitive Science • Brain Modeling

• Data Mining & Knowledge Discovery • Text Mining