| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Analysis course of the disease of type 2 diabetes patients using Markov chains and clustering methods.
|
Derevitskii, Ilya V.
|
|
2019
|
156 |
C |
p. 114-122
|
artikel
|
| 2 |
Analysis of the geospatial activity profiles of bank customers
|
Petukhov, Anton
|
|
2019
|
156 |
C |
p. 245-254
|
artikel
|
| 3 |
Anomaly Detection Using Adaptive Suppression
|
Grigorev, Artur
|
|
2019
|
156 |
C |
p. 274-282
|
artikel
|
| 4 |
Application Suggesting Attractive Walking Routes for Pedestrians Using an Example of Saint-Petersburg City
|
Semenov, Alexander
|
|
2019
|
156 |
C |
p. 319-326
|
artikel
|
| 5 |
Applying Behavior characteristics to decision-making process to create believable game AI
|
Simonov, Andrey
|
|
2019
|
156 |
C |
p. 404-413
|
artikel
|
| 6 |
Building behavioral AI using trust and reputation model based on mask model.
|
Shchepin, N.D.
|
|
2019
|
156 |
C |
p. 387-394
|
artikel
|
| 7 |
Comparison of Temporal and Non-Temporal Features Effect on Machine Learning Models Quality and Interpretability for Chronic Heart Failure Patients
|
Balabaeva, Ksenia
|
|
2019
|
156 |
C |
p. 87-96
|
artikel
|
| 8 |
Computational Personality Prediction Based on Digital Footprint of A Social Media User
|
Deeva, Irina
|
|
2019
|
156 |
C |
p. 185-193
|
artikel
|
| 9 |
Computational Science by Youth: Further Steps
|
Klimova, Alexandra
|
|
2019
|
156 |
C |
p. 1-2
|
artikel
|
| 10 |
Contents
|
|
|
2019
|
156 |
C |
p. vii-ix
|
artikel
|
| 11 |
Detecting advertising on building façades with computer vision
|
Bochkarev, Kirill
|
|
2019
|
156 |
C |
p. 338-346
|
artikel
|
| 12 |
Detection of lost circulation in drilling wells employing sensor data using machine learning technique
|
Khodnenko, Ivan
|
|
2019
|
156 |
C |
p. 300-307
|
artikel
|
| 13 |
Development of personalized mobile assistant for chronic disease patients: diabetes mellitus case study
|
Kabyshev, M.V.
|
|
2019
|
156 |
C |
p. 123-133
|
artikel
|
| 14 |
Diagnoses Detection in Short Snippets of Narrative Medical Texts
|
Dudchenko, Aleksei
|
|
2019
|
156 |
C |
p. 150-157
|
artikel
|
| 15 |
Discovery of the data-driven differential equation-based models of continuous metocean process
|
Maslyaev, Mikhail
|
|
2019
|
156 |
C |
p. 367-376
|
artikel
|
| 16 |
Distant supervision and knowledge transfer for domain-oriented text classification in online social networks
|
Khodorchenko, Maria
|
|
2019
|
156 |
C |
p. 166-175
|
artikel
|
| 17 |
Dynamic Difficulty Adjustment with a simplification ability using neuroevolution
|
Shakhova, Mariia
|
|
2019
|
156 |
C |
p. 395-403
|
artikel
|
| 18 |
Emergency exit planning and simulation environment using gamification, artificial intelligence and data analytics
|
Selin, Jukka
|
|
2019
|
156 |
C |
p. 283-291
|
artikel
|
| 19 |
Ensemble-based method of answers retrieval for domain specific questions from text-based documentation
|
Safiulin, Iskander
|
|
2019
|
156 |
C |
p. 158-165
|
artikel
|
| 20 |
Evaluation of modern tools and techniques for storing time-series data
|
Struckov, Alexey
|
|
2019
|
156 |
C |
p. 19-28
|
artikel
|
| 21 |
Flood Forecasting with Machine Learning Technique on Hydrological Modeling
|
Noymanee, Jeerana
|
|
2019
|
156 |
C |
p. 377-386
|
artikel
|
| 22 |
Forecasting of foreign trips by transactional data: a comparative study
|
Stavinova, Elizaveta
|
|
2019
|
156 |
C |
p. 225-234
|
artikel
|
| 23 |
Improving statistical relational learning with graph embeddings for socio-economic data retrieval
|
Kalinin, Alexander
|
|
2019
|
156 |
C |
p. 235-244
|
artikel
|
| 24 |
Integration of ParaSCIP solvers running on several clusters on the base of Everest cloud platform
|
Smirnov, Sergey
|
|
2019
|
156 |
C |
p. 13-18
|
artikel
|
| 25 |
Intelligent Approach for Heterogeneous Data Integration: Information Processes Analysis Engine in Clinical Remote Monitoring Systems
|
Khovrichev, Mikhail
|
|
2019
|
156 |
C |
p. 134-141
|
artikel
|
| 26 |
Modeling of a freeform element with a variable light distribution
|
Mazur, I.
|
|
2019
|
156 |
C |
p. 37-42
|
artikel
|
| 27 |
Modeling of Nonlinear Vibration Protection Systems of Mining Machines
|
Ivanov, Sergei Evgenievich
|
|
2019
|
156 |
C |
p. 292-299
|
artikel
|
| 28 |
Modeling the growth of dendritic electroless silver colonies using hexagonal cellular automata
|
Owusu, Patrick A.
|
|
2019
|
156 |
C |
p. 43-48
|
artikel
|
| 29 |
Modelling Behavioral Patterns of Drug Addiction Based on Sociological Data
|
Yakimuk, Ilya
|
|
2019
|
156 |
C |
p. 214-224
|
artikel
|
| 30 |
Mortality Prediction Based on Echocardiographic Data and Machine Learning: CHF, CHD, Aneurism, ACS Cases
|
Kutyrev, Kirill
|
|
2019
|
156 |
C |
p. 97-104
|
artikel
|
| 31 |
Motif identification in vital signs of chronic patients
|
Funkner, Anastasia A.
|
|
2019
|
156 |
C |
p. 105-113
|
artikel
|
| 32 |
Numerical methods for modeling focused ultrasound in biomedical problems
|
Beklemysheva, K.A.
|
|
2019
|
156 |
C |
p. 79-86
|
artikel
|
| 33 |
Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression
|
Deeva, Irina
|
|
2019
|
156 |
C |
p. 357-366
|
artikel
|
| 34 |
People Detection and Finding Attractive Areas by the use of Movement Detection Analysis and Deep Learning Approach
|
Kajabad, Ebrahim Najafi
|
|
2019
|
156 |
C |
p. 327-337
|
artikel
|
| 35 |
Reconstruction of 3D structure for nanoscale biological objects from experiments data on super-bright X-ray free electron lasers (XFELs): dependence of the 3D resolution on the experiment parameters
|
Ikonnikova, K.A.
|
|
2019
|
156 |
C |
p. 49-58
|
artikel
|
| 36 |
Risk markers identification in EHR using natural language processing: hemorrhagic and ischemic stroke cases
|
Grechishcheva, Sofia
|
|
2019
|
156 |
C |
p. 142-149
|
artikel
|
| 37 |
Russian Court Decisions Data Analysis Using Distributed Computing and Machine Learning to Improve Lawmaking and Law Enforcement
|
Metsker, Oleg
|
|
2019
|
156 |
C |
p. 264-273
|
artikel
|
| 38 |
“Situation polygon” as an intelligent environment for strategic decision-making support in development of Russian energy sector
|
Massel, Liudmila V.
|
|
2019
|
156 |
C |
p. 308-318
|
artikel
|
| 39 |
Structure Of Biomolecules Through Molecular Dynamics Simulations
|
Arnittali, Maria
|
|
2019
|
156 |
C |
p. 69-78
|
artikel
|
| 40 |
Study of the transient dynamics of coarse-grained molecular systems with the path-space force-matching method
|
Baxevani, Georgia
|
|
2019
|
156 |
C |
p. 59-68
|
artikel
|
| 41 |
Syntix: A Profiling Based Resource Estimator for CUDA Kernels
|
Papadaki, Maria
|
|
2019
|
156 |
C |
p. 3-12
|
artikel
|
| 42 |
Temporal point processes for purchase categories forecasting
|
Lysenko, Anton
|
|
2019
|
156 |
C |
p. 255-263
|
artikel
|
| 43 |
The cities weather forecasting by crowdsourced atmospheric data
|
Uteuov, Amir
|
|
2019
|
156 |
C |
p. 347-356
|
artikel
|
| 44 |
The development of a data collection and analysis system based on social network users’ data
|
Rudikowa, Lada
|
|
2019
|
156 |
C |
p. 194-203
|
artikel
|
| 45 |
Topic model for online communities’ interests prediction
|
Uteuov, Amir
|
|
2019
|
156 |
C |
p. 204-213
|
artikel
|
| 46 |
Urban events prediction via convolutional neural networks and Instagram data
|
Mukhina, Ksenia D.
|
|
2019
|
156 |
C |
p. 176-184
|
artikel
|
| 47 |
Workflow scheduling using Neural Networks and Reinforcement Learning
|
Melnik, Mikhail
|
|
2019
|
156 |
C |
p. 29-36
|
artikel
|
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