Springer LNCS

Overall, we recieved 127 submissions out of which 28 papers were rejected without reviewing (these are partial submissions or papers violated the submission rules). The remaining 99 papers were reviewed by at least 3 reviewers. The best 37 papers in the respectieve sections listed below were selected for publication in Springer LNCS volume. Note that in each section acceptance rate varied in the range 33-41%: the total acceptance rate is 37%.

Natural Language Processing

  1. Natalia Loukachevitch, Mikhail Nokel and Kirill Ivanov. Combining Thesaurus Knowledge and Probabilistic Topic Models
  2. Andrey Kutuzov and Maria Kunilovskaya. Size VS structure in training corpora for word embedding models: Araneum Russicum Maximum and Russian National Corpus
  3. Alexey Zobnin. Rotations and interpretability of word embeddings: the case of the Russian language
  4. Elena Bolshakova and Alexander Sapin. A morphological processor for Russian with extended functionality
  5. Luiza Sayfullina, Eric Malmi, Yiping Liao and Alex Jung. Domain adaptation for resume classification using Convolutional Neural Networks
  6. Ilseyar Alimova and Elena Tutubalina. Automated Detection of Adverse Drug Reactions From Social Media Posts With Machine Learning
  7. Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann and Alexander Panchenko. Fighting with Sparsity of the Synonymy Dictionaries for Automatic Synset Induction
  8. Oleg Durandin, Alexey Malafeev and Nikolai Zolotykh. SyntaxNet Errors from the Linguistic Point of View
  9. Ekaterina Vylomova, Andrey Shcherbakov, Yuriy Philippovich and Galina Cherkasova. Men Are from Mars, Women Are from Venus: Evaluation and Modeling of Verbal Associations
  10. Kirill Nikolaev and Alexey Malafeev. Russian-Language Question Classification: a New Typology and First Results
  11. Amir Bakarov and Olga Gureenkova. Word Embedding Models in Automatic Detection of Semantic Similarity of Messages from the Russian Imageboard 2ch

General Topics of Data Analysis

  1. Roman Chereshnev and Attila Kertesz-Farkas. HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks
  2. Kirill Kuptsov, Sergey Eremeev and Semen Romanov. Algorithm for establishing the correspondence of spatial objects on different-scale maps based on methods of computational topology
  3. Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov and Dmitry Ignatov. Predicting Winning Team and Probabilistic Ratings in Dota 2 and Counter-Strike: Global Offensive Video Games
  4. Anton Eremeev, Alexander Kelmanov, Artem Pyatkin and Igor Ziegler. Maximum Cardinality Subset of Vectors with a Constraint on Normalized Squared Length of Vectors Sum
  5. Anna Gromova. Using Cluster Analysis for Characteristics Detection in Software Defect Reports
  6. Evgeniy M. Ozhegov and Alina Ozhegova. Bagging Prediction for Censored Data: Application for Theatre Demand
  7. Fedor Krasnov, Nikolay Glavnov and Alexander Sitnikov. Machine learn approach to EOR prediction

Analysis of Images and Video

  1. Angelina Kharchevnikova, Anastasiia Sokolova and Andrey Savchenko. Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks
  2. Ramon Antonio Rodriges Zalipynis, Evgeniy Pozdeev and Anton Bryukhov. Array DBMS and Satellite Imagery: Towards Big Raster Data in the Cloud
  3. Alexandr Notchenko, Yermek Kapushev and Evgeny Burnaev. Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks
  4. Alexey Ruchay and Vitaly Kober. Impulsive noise removal from color images with morphological filtering
  5. Evgeny Myasnikov. Nonlinear dimensionality reduction of hyperspectral data using spectral correlation as a similarity measure
  6. Yulia Novskaya and Ma Li-Zhuang. Floor-Ladder Framework For Human Face Beautications
  7. Andrey Kuznetsov and Vladislav Myasnikov. Satellite image forgery detection based on buildings shadows analysis
  8. Andrey Bokovoy and Konstantin Yakovlev. Original Loop-closure Detection Algorithm for Monocular vSLAM

Optimization Problems on Graphs and Network Structures

  1. Alexander Kelmanov, Sergey Khamidullin and Vladimir Khandeev. A randomized algorithm for 2-partition of a sequence
  2. Edward Gimadi. An exact algorithm for the Outerplanar Facility Location Problem with improoved time complexity
  3. Edward Kh. Gimadi and Oxana Tsidulko. Approximation Algorithms for the Maximum m-Peripatetic Salesman Problem
  4. Alexander Kelmanov, Anna Motkova and Vladimir Shenmaier. An Approximation Scheme for a Weighted Two-Cluster Partition Problem
  5. Michael Khachay and Katherine Neznakhina. Polynomial time solvable subclass of the Generalized Traveling Salesman Problem on Grid Clusters
  6. Daniel Khachay, Michael Khachay and Maria Poberiy. Hitting Set Problem for Axis-Parallel Squares Intersecting a Straight Line is polynomially solvable for any fixed range of square sizes
  7. Konstantin Kobylkin. Stabbing line segments with disks: complexity and approximation algorithms

Analysis of Dynamic Behavior through Event Data

  1. Andrey Konchagin and Anna Kalenkova. On the efficient application of Aho-Corasick algorithm in process mining field

Social Network Analysis

  1. Ilya Makarov, Oleg Bulanov, Olga Gerasimova, Natalia Mescheryakova, Leonid Zhukov and Ilia Karpov. Scientific Matchmaker: Collaborator Recommender System
  2. Alexander Harlamov. Dynamic semantic network analysis of unstructured text corpuses
  3. Sofia Dokuka, Ekaterina Krekhovets and Margarita Priymak. Health, grades and social networks: How GPA and BMI contribute in friendship formation