For Authors « AIST2019

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PUBLICATION

AIST’19 proceedings are available at:

Springer LNCS – main volume
Springer CCIS – companion volume

ACCEPTED PAPERS

We are happy to finally announce AIST 2019 accepted papers.

All authors except for process mining track should have received the notifications from EasyChair. Please follow the instructions in the e-mails.

Process mining results are to be announced soon.

Authors	Title
General topics of data analysis
LNCS
Anastasiia Sokolova and Andrey Savchenko	Fast Nearest-Neighbor Classifier based on Sequential Analysis of Principal Components
Alexey Gurianov	Histogram-based algorithm for building gradient boosting ensembles of piecewise linear decision trees
Evgeniy Ozhegov, Alina Ozhegova and Ekaterina Mitrokhina	Distance in Geographic and Characteristics Space for Real Estate Price Prediction
Kirill Struminsky and Dmitry Vetrov	A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model
Ildar Kamaldinov and Ilya Makarov	Deep Reinforcement Learning in Match-3 Game
Anna Berger and Sergey Guda	Experimental Analysis of Approaches to Multidimensional Conditional Density Estimation
CCIS
Roman Beltyukov	Adaptation of Kronecker-Factored Approximate Curvature algorithm to Q-learning
Evgeny Dolotov and Nikolai Zolotykh	An evolutionary algorithms for constructing ensembles of decision trees
Polina Lushnikova, Dmitry Zaytsev, Valentina Kuskova and Gregory Khvatsky	Application of Data Envelopment Analysis and Network Methodology towards International Sanctions Effectiveness Evaluation
Sergey Eremeev and Semyon Romanov	An Algorithm for constructing a topological skeleton for semi-structured spatial data based on persistent homology
Pavel Sulimov, Elena Sukmanova, Roman Chereshnev and Attila Kertesz-Farkas	Guided Layer-wise Learning for Deep Models using Side Information
Ildar Baimuratov, Nataly Zhukova, Dmitry Mouromtsev and Than Nguyen	A Bayesian information criterion for unsupervised learning based on an objective prior
Dmitry Zankov	Multi-instance learning for structure-activity modeling for molecular properties
Valeriia Guryanova	Online augmentation for quality improvement of neural networks for classification of single-channel electrocardiograms
Stepan Gogolev and Evgeniy Ozhegov	Feature Selection and Comparison of Machine Learning Algorithms in Restaurant Revenue Prediction
Natural Language Processing
LNCS
Andrey Sysoev and Irina Nikishina	Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia for Russian
Valentin Malykh, Anton Alekseev, Sergey Nikolenko, Elena Tutubalina and Ilya Shenbin	Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspects Extraction
Elena Pimonova, Oleg Durandin and Alexey Malafeev	Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features
Pavel Braslavski, Igor Tukh and Kseniya Buraya	Log-based Reading Speed Prediction: a Case Study on War and Peace
Elena Mikhalkova, Nadezhda Ganzherli, Vladislav Maraev, Anna Glazkova and Dmitriy Grigoriev	A comparison of algorithms for detection of “figurativeness” in metaphor, irony and puns
Nikolay Arefyev, Boris Sheludko and Tatiana Aleksashenko	Combining Neural Language Models for WordSense Induction
Sergey Vychegzhanin, Elena Razova, Evgeny Kotelnikov and Vladimir Milov	Selecting an optimal feature set for stance detection
Valentin Malykh	Combined Advertising Sign Classifier
Anna Glazkova, Valery Kruzhinov and Zinaida Sokova	Dynamic Topic Models for Retrospective Event Detection: A Study on Soviet Opposition-Leaning Media
Dmitry Popov, Alexander Pugachev, Polina Svyatokum, Elizaveta Svitanko and Ekaterina Artemova	Evaluation of Sentence Embedding Models for Natural Language Understating Problems in Russian
Irina Fishcheva and Evgeny Kotelnikov	Cross-lingual argumentation mining for Russian texts
Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko and Ekaterina Artemova	Noun Compositionality Detection using Distributional Semantics for the Russian Language
Ilseyar Alimova and Elena Tutubalina	Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs
Andrey Kulagin, Yuriy Gavrilin and Yaroslav Kholodov	Deep Embeddings for Brand Detection in Product Titles
CCIS
Elena Boychuk, Inna Vorontsova, Elena Shliakhtina, Olga Belyaeva and Ksenia Lagutina	Automated Approach to Rhythm Figures Search in English Text
Vladimir Bochkarev, Anna Shevlyakova and Valery Solovyev	A Method of Semantic Change Detection Using Diachronic Corpora Data
Eduard Klyshinsky and Carina Shakhgeldyan	Formalization of Medical Records Using an Ontology: Patient’s Complains
Alyaxey Yaskevich, Anastasiya Lisitsina, Nadezda Katricheva, Tamara Zhordaniya, Andrey Kutuzov and Elizaveta Kuzmenko	vec2graph: a Python library for visualizing word embeddings as graphs: 1, 2
Alexey Malafeev and Kirill Nikolaev	A Deep Learning Method Study of User Interest Classification
Ilya Azerkovich	Using semantic information for coreference resolution with neural networks in Russian
Valery Solovyev, Gulnara Gimaletdinova, Liliia Khalitova and Liliya Usmanova	Expert Assessement of Synonymic Rows in RuWordNet
Maria Tikhonova	Text Mining for Evaluation of Candidates Based on Their CVs
Oleg Durandin and Alexey Malafeev	Adapting the Graph2Vec Approach to Dependency Trees for NLP Tasks
Lyudmila Maltina and Alexey Malafeev	Morpheme Segmentation for Russian: Evaluation of Convolutional Neural Network Models
Stanislav Khristoforov, Vladimir Bochkarev and Anna Shevlyakova	Recognition of Parts of Speech Using the Vector of Bigram Frequencies
Eugeny Mukhin	Using pre-trained deeply contextual model BERT for Russian Named Entity Recognition
Social Network Analysis
LNCS
Gregory Khvatsky, Dmitry Zaytsev, Valentina Kuskova and Nikita Talovsky	Multilevel Exponential Random Graph Models Application to Civil Participation Studies
Nikita Talovsky, Gregory Khvatsky, Dmitry Zaytsev and Valentina Kuskova	Classification of the Named Entities: Testing the Advocacy Coalition Theory by Document Analysis (the Case of Russian Civil Society Policy)
Evgeny Komotskiy, Tatiana Oreshkina, Liubov Zabokritskaya, Marina Medvedeva, Andrey Sozykin and Nikolai Khlebnikov	Analysis of Students Educational Interests Using Social Networks Data
CCIS
Ivan Dmitriev and Elena Zamyatina	How to Prevent Harmful Information Spreading in Social Networks Using Simulation Tools
Rostislav Yavorskiy, Tamara Voznesenskaya and Ilya Samonenko	Effect of Social Graph Structure on the Utilization Rate in a Flat Organization
Analysis of Images and Video
LNCS
Tatiana Malygina, Elena Ericheva and Ivan Drokin	Data augmentation with GAN: improving chest X-rays pathologies prediction on class-imbalanced cases
Maria Taktasheva, Albert Matveev, Alexey Artemov and Evgeny Burnaev	Learning to Approximate Directional Fields Defined over 2D Planes
Ilya Makarov, Nikolay Veldyaykin, Aleksei Pokoev and Maxim Chertkov	American and Russian Sign Language Dactyl Recognition and Text2Sign Translation
Ivan Panchenko and Adil Khan	On Expert-defined versus Learned Hierarchies for Image Classification
Alexey Ruchay, Konstantin Dorofeev and Vsevolod Kalschikov	A switching morphological algorithm for depth map recovery
Alexey Grigorev, Nikita Korobov, Polina Kutsevol, Artem Lukoyanov and Ilya Zharikov	Input simplifying as an approach for improving neural network efficiency
Kirill Demochkin and Andrey Savchenko	Multi-label Image Set Recognition in Visually-Aware Recommender Systems
Evgeny Myasnikov	Estimation of non-radial geometric distortions for dash cams
CCIS
Eugene S. Statnik, Alexei I. Salimon and Alexander M. Korsunsky	New Approach for Fast Residual Strain Estimation through Rational 2D Diffraction Pattern Processing
Oleg Potkin and Andrey Philippovich	Hand gestures detection, tracking and classication using Convolutional Neural Network
Vladimir Mokeyev	An ensemble of learning machine models for plant recognition
Nikolay Karpov and Dmirty Zhelonkin	Training Effective Model for Real-Time Detection of NSFW Photos and Drawings
Gudkov Vladimir	Fast Identification of Fingerprint
Taimoor Shakeel Sheikh, Adil Khan, Muhammad Fahim and Muhammad Ahmad	Preprocessing Imbalanced Data using Variational Autoencoders For Class-imbalanced Deep Learning
Oksana Logunova, Ivan Bagaev, Daria Arefeva and Evgeniy Garbar	Efficient information support of the automatic process and production control system
Andrey Kuznetsov	Face recognition using DELF feature descriptors on RGB-D data
Gurgeet Singh Bhogal and Anil Kumar Rawat	Discernment of smoke in image frames
Optimization problems on graphs and network structures
LNCS
Michael Khachay and Yuri Ogorodnikov	Efficient PTAS for the Euclidean Capacitated Vehicle Routing Problem with non-uniform non-splittable demand
Alexander Kelmanov and Vladimir Khandeev	Fast and Exact Algorithms for Some NP-Hard 2-Clustering Problems in the One-Dimensional Case
CCIS
Aleksey Maksimov and Mikhail Gashnikov	Rank filtration-based adaptive interpolator for differential compression of multidimensional signals
Ilya Makarov and Dmitry Kiselev	Prediction of New Itinerary Markets for Airlines via Network Embedding
Sergey Makrushin and Nikita Blokhin	Developing a network-based method for building associative series of hashtags
Analysis of dynamic behavior through event data
LNCS
Semyon Tikhonov and Alexey Mitsyuk	Method to Improve Workflow Net Decomposition for Process Model Repair
Alexandra Kolosova and Irina Lomazova	Detection of Anomalies in the Criminal Proceedings Based on the Analysis of Event Logs
CCIS
Kirill Artamonov and Irina Lomazova	Discovering Unchanged Process Model Fragments via Conformance Based on Event Relations
Aleksandr Borodinov and Vladislav Myasnikov	Method of determining user preferences for the personalized recommender systems for public transport passengers

THE BEST PAPERS LIST:

Authors	Title
Analysis of images and video
Tatiana Malygina, Elena Ericheva and Ivan Drokin	Data augmentation with GAN: improving chest X-rays pathologies prediction on class-imbalanced cases
General Topics of Data Analysis
Alexey Gurianov	Histogram-based algorithm for building gradient boosting ensembles of piecewise linear decision trees
Optimization problems on graphs and network structures
Michael Khachay and Yuri Ogorodnikov	Efficient PTAS for the Euclidean Capacitated Vehicle Routing Problem with non-uniform non-splittable demand
Social Network Analysis
Evgeny Komotskiy, Tatiana Oreshkina, Liubov Zabokritskaya, Marina Medvedeva, Andrey Sozykin and Nikolai Khlebnikov	Analysis of Students Educational Interests Using Social Networks Data
Analysis of dynamic behavior through event data
Semyon Tikhonov and Alexey Mitsyuk	Method to Improve Workflow Net Decomposition for Process Model Repair
Natural Language Processing
Elena Pimonova, Oleg Durandin and Alexey Malafeev	Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features

PAST CONFERENCES

Proceeding of the previous years can be found below:

AIST 2018: Springer Lecture Notes in Computer Science (LNCS) vol. 11179
AIST 2017: Springer Lecture Notes in Computer Science (LNCS) vol. 10716
AIST 2016: Springer Communications in Computer and Information Science (CCIS) vol. 661
AIST 2015: Springer Communications in Computer and Information Science (CCIS) vol. 542
AIST 2014: Springer Communications in Computer and Information Science (CCIS) vol. 436

PROGRAM COMMITTEE and ORGANIZING COMMITTEE

Please see aistconf.org/board/.

VENUE

The conference was held at Kazan Federal University (Kazan, Russia).

CONTACTS

All questions about submissions should be emailed to org@aistconf.org. See more details about the conference at aistconf.org. Updates about the conference are published on the conference blog, as well as on our Facebook and VK groups.