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 | |
| 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 | |
| Ildar Kamaldinov and Ilya Makarov | |
| Anna Berger and Sergey Guda | |
| CCIS | |
| Roman Beltyukov | |
| Evgeny Dolotov and Nikolai Zolotykh | |
| 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 | |
| Stepan Gogolev and Evgeniy Ozhegov | |
| Natural Language Processing | |
| LNCS | |
| Andrey Sysoev and Irina Nikishina | |
| 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 | |
| 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 | |
| Nikolay Arefyev, Boris Sheludko and Tatiana Aleksashenko |
Combining Neural Language Models for WordSense Induction
|
| Sergey Vychegzhanin, Elena Razova, Evgeny Kotelnikov and Vladimir Milov | |
| Valentin Malykh |
Combined Advertising Sign Classifier
|
| Anna Glazkova, Valery Kruzhinov and Zinaida Sokova | |
| Dmitry Popov, Alexander Pugachev, Polina Svyatokum, Elizaveta Svitanko and Ekaterina Artemova | |
| Irina Fishcheva and Evgeny Kotelnikov | |
| Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko and Ekaterina Artemova | |
| Ilseyar Alimova and Elena Tutubalina |
Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs
|
| Andrey Kulagin, Yuriy Gavrilin and Yaroslav Kholodov | |
| CCIS | |
| Elena Boychuk, Inna Vorontsova, Elena Shliakhtina, Olga Belyaeva and Ksenia Lagutina | |
| Vladimir Bochkarev, Anna Shevlyakova and Valery Solovyev |
A Method of Semantic Change Detection Using Diachronic Corpora Data
|
| Eduard Klyshinsky and Carina Shakhgeldyan | |
| Alyaxey Yaskevich, Anastasiya Lisitsina, Nadezda Katricheva, Tamara Zhordaniya, Andrey Kutuzov and Elizaveta Kuzmenko | |
| Alexey Malafeev and Kirill Nikolaev |
A Deep Learning Method Study of User Interest Classification
|
| Ilya Azerkovich | |
| 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 | |
| Maria Taktasheva, Albert Matveev, Alexey Artemov and Evgeny Burnaev | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Analysis of dynamic behavior through event data | |
| LNCS | |
| Semyon Tikhonov and Alexey Mitsyuk | |
| 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 |
Proceeding of the previous years can be found below:
Please see aistconf.org/board/.
AIST’19 proceedings will be published in Springer LNCS (Lecture Notes in Computer Science). The companion volume will be published in the satellite series CCIS (Communications in Computer and Information Science).
The proceedings are scheduled to appear in Springer volumes LNCS 11832 and CCIS 1086, respectively.
The drafts of respective front matters are available by the links below:
The conference was held at Kazan Federal University (Kazan, Russia).
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.