• A
  • A
  • A
  • АБB
  • АБB
  • АБB
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта
Контакты

Адрес: 109028, г. Москва, Покровский бульвар, д. 11

Телефон: +7 (495) 531-00-00 *27254

Email: computerscience@hse.ru

 

Руководство
Первый заместитель декана Вознесенская Тамара Васильевна
Заместитель декана по научной работе и международному сотрудничеству Объедков Сергей Александрович
Заместитель декана по учебно-методической работе Самоненко Илья Юрьевич
Заместитель декана по развитию и административно-финансовой работе Плисецкая Ирина Александровна
Мероприятия
27 октября – 8 декабря
16 декабря – 18 декабря
2 февраля 2022 – 6 февраля 2022
Образовательные программы
Бакалаврская программа

Компьютерные науки и анализ данных

4 года
Очная форма обучения
40/5
40 платных мест
5 платных мест для иностранцев
RUS/ENG
Обучение ведётся на русском и английском языках
Бакалаврская программа

Прикладная математика и информатика

4 года
Очная форма обучения
145/70/20
145 бюджетных мест
70 платных мест
20 платных мест для иностранцев
RUS/ENG
Обучение ведётся на русском и английском языках
Бакалаврская программа

Программа двух дипломов НИУ ВШЭ и Лондонского университета «Прикладной анализ данных»

4 года
Очная форма обучения
90/12
90 платных мест
12 платных мест для иностранцев
ENG
Обучение ведётся на английском языке
Бакалаврская программа

Программная инженерия

4 года
Очная форма обучения
135/100/20
135 бюджетных мест
100 платных мест
20 платных мест для иностранцев
RUS/ENG
Обучение ведётся на русском и английском языках
Магистерская программа

Анализ данных в биологии и медицине

2 года
Очная форма обучения
25/5/1
25 бюджетных мест
5 платных мест
1 платное место для иностранцев
RUS/ENG
Обучение ведётся на русском и английском языках
Магистерская программа

Магистр по наукам о данных

2 года
Заочная
21/9
21 платное место
9 платных мест для иностранцев
ENG
Обучение ведётся на английском языке
Магистерская программа

Математика машинного обучения

2 года
Очная форма обучения
18/5/1
18 бюджетных мест
5 платных мест
1 платное место для иностранцев
ENG
Обучение ведётся на английском языке
Магистерская программа

Машинное обучение и высоконагруженные системы

2 года
Очная форма обучения
28/2
28 платных мест
2 платных места для иностранцев
RUS
Обучение ведётся на русском языке
Магистерская программа

Науки о данных (Data Science)

2 года
Очная форма обучения
30/10/10
30 бюджетных мест
10 платных мест
10 платных мест для иностранцев
RUS/ENG
Обучение ведётся на русском и английском языках
Магистерская программа

Системная и программная инженерия

2 года
Очная форма обучения
25/5/5
25 бюджетных мест
5 платных мест
5 платных мест для иностранцев
ENG
Обучение ведётся на английском языке
Магистерская программа

Системное программирование

2 года
Очная форма обучения
15/5/1
15 бюджетных мест
5 платных мест
1 платное место для иностранцев
RUS
Обучение ведётся на русском языке
Магистерская программа

Современные компьютерные науки

2 года
Очная форма обучения
32/5
32 бюджетных мест
5 платных мест
RUS/ENG
Обучение ведётся на русском и английском языках
Магистерская программа

Финансовые технологии и анализ данных

2 года
Очная форма обучения
50/1
50 платных мест
1 платное место для иностранцев
RUS/ENG
Обучение ведётся на русском и английском языках
Глава в книге
Black-Box Optimization with Local Generative Surrogates

Belavin V., Ustyuzhanin A., Широбоков С. К. et al.

In bk.: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Curran Associates, Inc., 2020. P. 14650-14662.

Статья
The multiplicative-additive Lambek calculus with subexponential and bracket modalities

Kanovich M., Kuznetsov S., Scedrov A.

Journal of Logic, Language and Information. 2021. Vol. 30. No. 1. P. 31-88.

Избранные публикации студентов факультета

2021

Wilf Classes of Non-symmetric Operads
Cherkasov A., Piontkovski D.
International Symposium on Symbolic and Algebraic Computation (ISSAC 2021), 91-98

Aschern at CheckThat! 2021: Lambda-calculus of fact-checked claims
Chernyavskiy A., Ilvovsky D., Nakov P.
Conference and Labs of the Evaluation Forum (CLEF 2021), 484-493

Illumination estimation challenge: The experience of the first 2 years
Ershov E., Semenkov I. et al.
Color Research and Application 46, 705-718

Fault detection in Tennessee Eastman process with temporal deep learning models
Lomov I., Lyubimov M., Makarov I., Zhukov L.
Journal of Industrial Information Integration 23:100216

Cross-Domain Co-Author Recommendation Based on Knowledge Graph Clustering
Munna T., Delhibabu R. 
Asian Conference on Intelligent Information and Database Systems ( ACIIDS 2021). Lecture Notes in Computer Science 12672, 782-795

On Separation Between the Degree of a Boolean Function and the Block Sensitivity
Proskurin N.
International Computer Science Symposium in Russia (CSR 2021). Lecture Notes in Computer Science 12730, 406-421

Predictability and Scaling in a BTW Sandpile on a Self-similar Lattice
Shapoval A., Savostianova D., Shnirman M.
Journal of Statistical Physics 183, 14

Active learning for sequence tagging with deep pre-trained models and Bayesian uncertainty estimates
Shelmanov A., Puzyrev D., Artemova E. et al.
Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)

Vertex and energy reconstruction in JUNO with machine learning methods
Qian Z., Belavin V., Khatbullina L., Ratnikov F., Ustyuzhanin A. et al.
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1010, 165527

Affection of Java Design Patterns to Cohesion Metrics
Zykov S., Alexandrov D., Ismoilov M., Savachenko A., Kozlov A.
Intelligent Decision Technologies Smart Innovation, Systems and Technologies 238, 333-342

2020

Collaborator Recommender System
Averchenkova A., Sudarikov K. et al.
Network Algorithms, Data Mining and Applications (NET 2018), 101-119

So What’s the Plan? Mining Strategic Planning Documents
Artemova E., Batura T., Sarkisyan V., Tutubalina E.et al.
International Conference on Digital Transformation and Global Society (DTGS 2020). Communications in Computer and Information Science 1242, 208-222

The normalized algorithmic information distance can not be approximated
Bauwens B., Blinnikov I.
International Computer Science Symposium in Russia (CSR 2020) 18, 130-141

Optimal stopping via reinforced regression
Belomestny D., Schoenmakers J., Spokoiny V., Zharkynbay B. 
Communications in Mathematical Sciences 18, 109-121

Human Action Recognition for Boxing Training Simulator
Broilovskiy A., Makarov I.
Analysis of Images, Social Networks and Texts (AIST 2020). Lecture Notes in Computer Science 12602, 331-343

On the decision tree complexity of threshold functions
Chistopolskaya A., Podolskii V. 
Lecture Notes in Computer Science 12159, 198-210

DaNetQA: A Yes/No Question Answering Dataset for the Russian Language
Glushkova T., Machnev A., Fenogenova A., Artemova E., Ignatov D.I. et al.
Analysis of Images, Social Networks and Texts (AIST 2020). Lecture Notes in Computer Science 12602, 57-68

On the Expressive Power of Some Extensions of Linear Temporal Logic
Gnatenko A., Zakharov V.
Automatic Control and Computer Sciences 53, 663–675

Semi-automatic Manga Colorization Using Conditional Adversarial Networks
Golyadkin M., Makarov I.
Analysis of Images, Social Networks and Texts (AIST 2020). Lecture Notes in Computer Science 12602, 230-242

RuREBus: A Case Study of Joint Named Entity Recognition and Relation Extraction from E-Government Domain
Ivanin V., Artemova E., Sarkisyan V. et al.
Analysis of Images, Social Networks and Texts (AIST 2020). Lecture Notes in Computer Science 12602, 19-27

RUREBUS-2020 Shared Task: Russian Relation Extraction for Business
Ivanin V., Artemova E., Sarkisyan V. et al.
Computational Linguistics and Intellectual Technologies Papers from the Annual International Conference “Dialogue” (2020), 401-416

Detecting Automatically Managed Accounts in Online Social Networks: Graph Embeddings Approach
Karpov I., Glazkova E.
Analysis of Images, Social Networks and Texts (AIST 2020). Communications in Computer and Information Science 1357, 11-21

Software system behavior can be analyzed with visual analytics
Kotylev Y., Mitsyuk A.
Conference on Modeling and Analysis of Complex Systems and Processes 2020 (MACSPro 2020). CEUR Workshop Proceedings 2795, 46-56.

Shiftry: Web Service for Diachronic Analysis of Russian News
Kutuzov A., Fomin V. et al.
Computational Linguistics and Intellectual Technologies Papers from the Annual International Conference “Dialogue” (2020), 485-501

Automated Image and Video Quality Assessment for Computational Video Editing
Lomotin K., Makarov I.
Analysis of Images, Social Networks and Texts (AIST 2020). Lecture Notes in Computer Science 12602, 243-256

Federated Learning in Named Entity Recognition
Luboshnikov E., Makarov I.
Analysis of Images, Social Networks and Texts (AIST 2020). Lecture Notes in Computer Science 12602, 90-101

Interethnic differences in the prevalence of main cardiovascular pharmacogenetic biomarkers
Mirzaev K., Shein A., Poptsova M. et al.
Pharmacogenomics 21:10

Sources of spatial data in advancing technologies of subsoil use
Nekrasov G., Polivoda D., Prokofeva E. 
Mining Informational and Analytical Bulletin 5, 164-176

The geospatial data mining concept using scrapping technology
Nekrasov G., Polivoda D., Prokofeva E. 
Moscow Workshop on Electronic and Networking Technologies (MWENT 2020), 1-4

Using machine learning to speed up new and upgrade detector studies: a calorimeter case
Ratnikov F., Derkach D., Boldyrev A., Shevelev A., Fakanov P., Matyushin L. 
International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019). EPJ Web of Conferences 245, 02019

A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application
Rahman M., Munna M. et al.  
Data Engineering and Communication Technology (ICDECT-2K19). Advances in Intelligent Systems and Computing 1079, 397-407

Data and Reference Semantic-Based Simulator of DB-Nets with the Use of Renew Tool
Rigin A., Shershakov S.
Analysis of Images, Social Networks and Texts (AIST 2020). Lecture Notes in Computer Science 12602, 243-256

ELMo and BERT in Semantic Change Detection for Russian
Rodina J., Trofimova Y., Kutuzov A., Artemova E.
Analysis of Images, Social Networks and Texts (AIST 2020). Lecture Notes in Computer Science 12602, 175-186

A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features
Rozenwald M., Galitsyna A.; Sapunov G. et al.
Peerj Computer Science: e307

Prediction of 3D Chromatin Structure Using Recurrent Neural Networks
Rozenwald M., Khrameeva E. et al.
IEEE International Conference on Bioinformatics and (BIBM 2018):18399259

Dynamics of phase synchronization between solar polar magnetic fields assessed with van der Pol and Kuramoto models
Savostianov A., Shapoval A., Shnirman M. 
Entropy 22:945

Humans keep it one hundred: An overview of AI journey
Shavrina T., Emelyanov A., Fomin V. et al.  
Conference on Language Resources and Evaluation (LREC 2020), 2276-2284

Passive Intraoperative Language Mapping Using Electrocorticographic Signals
Sinkin M., Volkova K., Kondratova M., Voskoboynikov A., Lebedev M., Ossadtchi A. et al.
International Conference on Cognitive Sciences (Intercognsci-2020). Advances in Intelligent Systems and Computing 1358, 533-540

Jupyter Lab Based System for Geospatial Environmental Data Processing
Terlych N.,  Rodriges Z.
Advances in Soft Computing 1289, 627-638

2019

Processing and analysis of russian strategic planning programs 
Alekseychuk N., Sarkisyan V., Emelyanov A., Artemova E. 
Digital Transformation and Global Society (DTGS 2019), 68-81

What has remained unchained in your business process model? 
Artamonov K., Lomazova I. 
IEEE Conference on Business Informatics (CBI 2019), 551-558

Learning to route in similarity graphs
Baranchuk D., Persiyanov D., Sinitsin A., Babenko A.    
International Conference on Machine Learning (ICML 2019):748-757

Modeling of necessity enterpreneurship via general equilibrium approach
Fomenko M., Shapoval A. 
Modeling and Analysis of Complex Systems and Processes (MACSPro 2019), CEUR Workshop Proceedings 2478, 185-190

Few-shot classification in named entity recognition task 
Fritzler A., Logacheva V., Kretov M. 
Symposium on Applied Computing (SAC 2019), 993-1000

Space navigator: a tool for the optimization of collision  avoidance maneuvers 
Gremyachikh L., Dubov D. et al
IAA/AAS SciTech forum on Space Flight Mechanics and Space Structures and Materials 2018. Advances in the Astronautical Sciences 170, 305-318

On the compositionality prediction of noun phrases using Poincaré embeddings 
Jana A., Puzyrev D. et al.  
Association for Computational Linguistics (ACL 2019), 3263-3274

Deep reinforcement learning methods in match-3 game 
Kamaldinov I., Makarov I. 
Analysis of Images, Social Networks and Texts (AIST 2019), 51-62

Deep reinforcement learning methods in match-3 game 
Kamaldinov I., Makarov I. 
IEEE Conference on Games (COG 2019)

Detection of anomalies in the criminal proceedings based on the analysis of event logs 
Kolosova A., Lomazova I. 
Analysis of Images, Social Networks and Texts (AIST 2019), 401-410

Financial risks of the blockchain industry: A survey of cyberattacks
Lazarenko A.,  Avdoshin S.  
Future Technologies Conference (FTC 2018). Advances in Intelligent Systems and Computing 881, 368-384

The development of a reference architectural prototype of the internet of things network mode 
Nekrasov G., Polivoda D.
IEEE International Conference Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS 2019), 554-557

Fine-tuning SMPL: a framework for highly detailed statistical human model building
Patakin N., Petrov I., Guzov V., Konushin A. 
International Conference on Video, Signal and Image Processing (VSIP 2019). ACM International Conference Proceeding Series, 21-27

Efficient comparison of process models using tabu search algorithm
Skobtsov A., Kalenkova A.  
Modeling and Analysis of Complex Systems and Processes (MACSPro 2019), CEUR Workshop Proceedings 2478, 51-61

Efficient algorithms for finding differences between process models
Skobtsov A., Kalenkova A.  
Ivannikov Ispras Conference (ISPRAS 2019), 60-66

Using heuristic algorithms for fast alignment between business processes and goals
Skobtsov A.,  Kalenkova A. 
IEEE International Enterprise Distributed Object Computing Workshop (EDOCW 2019), 85-91

GAN path finder: preliminary results
Soboleva N.,  Yakovlev K. 
German Conference on Artificial Intelligence (KI 2019), 316-324

LPLian: Angle-constrained path finding in dynamic grids 
Soboleva N.,  Yakovlev K. 
International Conference on Developments in eSystems Engineering (DeSE 2019), 48-53

Platform for tracking donations of charitable foundations based on blockchain technology
Saleh H., Avdoshin S., Dzonov A. 
Actual Problems of Systems and Software Engineering (APSSE 2019), 182-187

A method to improve workflow net decomposition for process model repair
Tikhonov S.,  Mitsyuk A. 
Analysis of Images, Social Networks and Texts (AIST 2019), 411-423

The mathematical model for predicting the earliest diagnostics period of the secondary distant metastases growth process of breast cancer  
Tyuryumina, E., Neznanov, A.  
The Breast 44, S88

2018

Plain stopping time and conditional complexities revisited  
Andreev M., Posobin G., Shen A.  
International Symposium on Mathematical Foundations of Computer Science (MFCS 2018). Leibniz International Proceedings in Informatics, LIPIcs 117:2

Enhanced algorithm for angle-constrained path finding  
Andreychuk A., Soboleva N., Yakovlev K.  
Conference on Artificial Intelligence (RCAI-2018). Communications in Computer and Information Science 934, 206-217

Realistic post-processing of rendered 3D scenes  
Feygina A.,  Ignatov D., Makarov I.  
ACM SIG International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH 2018), 42:1-42:2

Conditional generators of words definitions  
Gadetsky A., Yakubovskiy I., Vetrov D., Kroshnin A.  
Annual Meeting of the Association for Computational Linguistics (ACL 2018) 2, 266-271

Towards a data complexity classification of ontology-mediated queries with covering  
Gerasimova O., Kikot S., Zakharyaschev M.  
International Workshop on Description Logics (DL 2018). CEUR Workshop Proceedings 2211

Hybrid approach to design of storage attached network simulation systems  
Karpov M.  et al.  
International Journal of Civil Engineering and Technology 9, 220-226

Commercial astroturfing detection in social networks
Kostyakova N., Karpov I., Makarov I., Zhukov L.  
International Conference on Network Analysis (NET 2017). Springer Proceedings in Mathematics and Statistics 247, 309-318

Information propagation strategies in online social networks
Laptsuev R., Ananyeva M., Meinster D. et al.  
International Conference on Network Analysis (NET 2017). Springer Proceedings in Mathematics and Statistics 247, 319-328

Joint node-edge network embedding for link prediction  
Makarov I., Gerasimova O.  et al.    
Analysis of Images, Social Networks and Texts (AIST 2018). Lecture Notes in Computer Science 11179, 20–31

Recommending co-authorship via network embeddings and feature engineering: The case of National Research University Higher School of Economics  
Makarov I., Gerasimova O.  et al.    
ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018), 365-366

Fast semi-dense depth map estimation
Makarov I., Korinevskaya A., Aliev V.  
ACM Workshop on Multimedia for Real Estate Tech, 18-21

Sparse depth map interpolation using deep convolutional neural networks
Makarov I., Korinevskaya A., Aliev V.  
International Conference on Telecommunications and Signal Processing (TSP 2018)

Super-resolution of interpolated downsampled semi-dense depth map
Makarov I., Korinevskaya A., Aliev V.  
International ACM Conference on 3D Web Technology (Web3D 2018)

Improving picture quality with photo-realistic style transfer
Makarov I., Polonskaya D., Feygina A.  
Analysis of Images, Social Networks and Texts (AIST 2018). Lecture Notes in Computer Science 10882, 47-55

Voronoi-based path planning based on visibility and kill/death ratio tactical component
Makarov I., Polyakov P., Karpichev R.  
Analysis of Images, Social Networks and Texts (AIST-SUP 2018). CEUR Workshop Proceedings 2268, 129-140

Predicting winning team and probabilistic ratings in Dota 2 and Counter-strike: Global offensive video games
Makarov I., Savostyanov D., Litvyakov B., Ignatov D.  
Analysis of Images, Social Networks and Texts (AIST 2018). Lecture Notes in Computer Science 10716, 183-196

Nonasymptotic estimates for the closeness of Gaussian measures on balls  
Naumov A., Tavyrikov Y.  et al.    
Doklady Mathematics 98, 490-493

Sequential decoding on syndrome trellises for nonparametric detection
Osipov D., Titov D.  
Cybernetics and Information Technologies 18, 77-86

Constructing regular expressions from real-life event logs  
Tarantsova P., Kalenkova A.  
Analysis of Images, Social Networks and Texts (AIST 2018). Lecture Notes in Computer Science 1179, 274-280

Consolidated mathematical growth model of the primary tumor and secondary distant metastases of breast cancer (CoMPaS)  
Tyuryumina E., Neznanov A.  
PLoS ONE 13:e0200148

2017

Architecting a geo-enabled CRM: The way to seamless integration  
Abdulmyanov V., Sivtsov A., Fomichyov N.  
International Conference on Knowledge — Based and Intelligent Information and Engineering Systems (KES 2017). Procedia Computer Science 112, 1651-1657

The metric travelling salesman problem: Pareto-optimal heuristic algorithms  
Beresneva E., Avdoshin S.  
International Conference on Actual Problems of System and Software Engineering (APSSE 2017). CEUR Workshop Proceedings 5, 295-305

More on the data complexity of answering ontology-mediated queries with a covering axiom  
Gerasimova O.  et al.  
International Conference on Knowledge Engineering and Semantic Web (KESW 2017). Communications in Computer and Information Science 786, 143-158

On the data complexity of ontology-mediated queries with a covering axiom  
Gerasimova O.  et al.  
International Workshop on Description Logics (DL 2017). CEUR Workshop Proceedings 1879

Some approaches to solving the NP-hard Mixed Chinese Postman Problem  
Gordenko M., Avdoshin S.  
International Conference on Actual Problems of System and Software Engineering (APSSE 2017). CEUR Workshop Proceedings 1989, 272-290

Predicting psychology attributes of a social network user  
Khayrullin R., Makarov I., Zhukov L.  
Workshop on Experimental Economics and Machine Learning (EEML 2017). CEUR Workshop Proceedings 1968, 2-8

On the efficient application of aho-corasick algorithm in process mining  
Konchagin A., Kalenkova A.  
Analysis of Images, Social Networks and Texts (AIST 2017). Lecture Notes in Computer Science 10716, 371-377

Topological modules of human brain networks are anatomically embedded: Evidence from modularity analysis at multiple scales  
Kurmukov A., Burova M.  et al.  
International Conference on Network Analysis (NET 2017). Springer Proceedings in Mathematics and Statistics 247, 299-308

Software system for dynamic athlete health monitoring  
Lebedev G., Gureeva A., Tikhonova Y.  
International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2017). Procedia Computer Science 112

Semi-dense depth interpolation using deep convolutional neural networks  
Makarov I., Aliev V., Gerasimova O.  
International Conference on Multimedia (MM 2017). ACM Multimedia Conference (MM 2017), 1407-1415

Depth map interpolation using perceptual loss  
Makarov I., Aliev V., Gerasimova O., Polyakov P.  
IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct 2017), 93-94

Logic of existentialism in fiction
Makarov I., Bodishtianu V.  
International Florida Artificial Intelligence Research Society Conference (FLAIRS 2017), 632-637

Scientific matchmaker: Collaborator recommender system  
Makarov I., Bulanov O., Gerasimova O., Meshcheryakova N.  et al.  
Analysis of Images, Social Networks and Texts (AIST 2017). Lecture Notes in Computer Science 10716, 404-410

Co-authorship network embedding and recommending collaborators via network embedding  
Makarov I., Gerasimova O.  et al.  
Analysis of Images, Social Networks and Texts (AIST 2017). Lecture Notes in Computer Science 11179, 32-38

Learning to play pong video game via deep reinforcement learning  
Makarov I., Kashin A., Korinevskaya A.  
Supplementary International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017). CEUR Workshop Proceedings 1975, 236-241

Adapting first-person shooter video game for playing with virtual reality headsets  
Makarov I., Konoplya O., Polyakov P., Martynov M., Zyuzin P., Gerasimova O., Bodishtianu V.  
International Florida Artificial Intelligence Research Society Conference (FLAIRS 2017), 412-415

Language variety and gender classification for Author Profiling in PAN 2017: Notebook for PAN at CLEF 2017  
Ogaltsov A., Romanov A.  
CLEF Conference and Labs of the Evaluation Forum (CLEF 2017). CEUR Workshop Proceedings 1866

Retrospective satellite data in the cloud: An array DBMS approach  
Rodriges Zalipynis R.A., Bryukhov A., Pozdeev E.  
Russian Supercomputing Days Conference (RuSCDays 2017). Communications in Computer and Information Science 793, 351-362

Domain adaptation with gradient reversal for MC/real data calibration  
Ryzhikov A., Ustyuzhanin A.  
International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2017).Journal of Physics: Conference Series 1085:042018

Machine learning for electromagnetic showers reconstruction in emulsion cloud chambers  
Shirobokov S., Filatov A.  et al.  
International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2017).Journal of Physics: Conference Series 1085:042025

Methods for the metagenomic data visualization and analysis  
Sudarikov K., Tyakht A., Alexeev D.  
Current Issues in Molecular Biology 24, 37-58

On consolidated predictive model of the natural history of breast cancer considering primary tumor and primary distant metastases growth  
Tyuryumina E., Neznanov A.  
IEEE International Conference on Healthcare Informatics (ICHI 2017), 484-489

On consolidated predictive model of the natural history of breast cancer: Primary tumor and secondary metastases in patients with lymph nodes metastases  
Tyuryumina E., Neznanov A.  
International Conference on Digital Health (DH 2017). ACM International Conference Proceeding Series F128634, 60-66

2016

Computer-aided prediction of xenobiotic metabolism in humans  
Bezhentsev V.  et al.  
Russian Chemical Reviews 85, 854-879

Linguistic resumes in software engineering: the case of trend summarization in mobile crash reporting systems  
Degtiarev K., Remnev N.  
International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS 2016). Procedia Computer Science 102, 121-128

Patient-specific blood flow modelling for medical applications  
Dobroserdova T., Sakharova E.  et al.  
International Conference on Circuits, Systems, Communications and Computers (CSCC 2016). MATEC Web of Conferences 76

Co-author recommender system  
Makarov I., Bulanov O., Zhukov L.  
International Conference on Network Analysis (NET 2016). Springer Proceedings in Mathematics and Statistics 197, 251-257

Quantum logic and natural language processing
Makarov I., Frolenkova A., Belov I.  
Workshop on Computational Linguistics and Language Science (CLLS 2016). CEUR Workshop Proceedings 1886, 135-140

Smoothing Voronoi-based path with minimized length and visibility using composite Bezier Curves
Makarov I., Polyakov P.  
Analysis of Images, Social Networks and Texts (AIST 2016). CEUR Workshop Proceedings 1710, 191-202

First-person shooter game for virtual reality headset with advanced multi-agent intelligent system  
Makarov I., Tokmakov M., Polyakov P., Zyuzin P., Martynov M., Konoplya O., Kuznetsov G., Guschenko-Cheverda I., Uriev M., Mokeev I., Gerasimova O., Tokmakova L., Kosmachev A.  
ACM Multimedia Conference (MM 2016), 735-736

Modelling human-like behavior through reward-based approach in a first-person shooter game
Makarov I., Zyuzin P., Polyakov P., Tokmakov M., Gerasimova O., Guschenko-Cheverda I., Uriev M.  
International Workshop on Experimental Economics and Machine Learning (EEML 2016). CEUR Workshop Proceedings 1627, 24-33

Digital educational mind maps: a computer supported collaboratvie learning practice on marketing master program  
Papushina I., Maksimenkova O., Kolomiets A.  
International Conference on Interactive Collaborative Learning (ICL 2016). Advances in Intelligent Systems and Computing 544, 17-30

Generalized minimum distance decoder in a DHA FH OFDMA employing concatenated coding  
Subbotin A., Osipov D.  
International Workshop on Multiple Access Communications (MACOM 2016). Lecture Notes in Computer Science 10121, 15-29

The Geospatial Data Mining Concept Using Scrapping Technology