=Paper= {{Paper |id=Vol-2566/MS-AMLV-2019-Preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-2566/MS-AMLV-2019-Preface.pdf |volume=Vol-2566 }} ==None== https://ceur-ws.org/Vol-2566/MS-AMLV-2019-Preface.pdf
Vadim Ermolayev,
Oleksii Molchanovskyi,
Yaroslav Prytula (eds.)




Advances in Data Mining,
Machine Learning,
and Computer Vision
Proceedings of the 1st Masters Symposium
MS-AMLV-2019




Lviv, 2019
Editors
 Vadim Ermolayev
 Zaporizhzhia National University, Ukraine

 Oleksii Molchanovskyi
 Ukrainian Catholic University, Ukraine

 Yaroslav Prytula
 Ukrainian Catholic University, Ukraine




Ermolayev, V., Molchanovskyi, O., Prytula, Y. (eds.): Advances in Data Mining, Ma-
chine Learning, and Computer Vision. Proc. 1st Masters Symposium
MS-AMLV- 2019, November 15-16, 2019, CEUR-WS.org, online


This volume represents the proceedings of the 1st Masters Symposium on Advances in
Data Mining, Machine Learning, and Computer Vision (MS-AMLV-2019), held in
Lviv, Ukraine, in November 2019. It comprises the abstracts of one keynote talk and
14 contributed papers that were carefully peer-reviewed and selected from 43 submis-
sions. The volume is organized in three parts. Part I presents the keynote talks. Part II
collects the contributed papers on computer vision. Part III focuses on the contributions
in natural language text processing, mining, and knowledge extraction.




       Copyright © 2019 for the individual papers by the papers' authors.
       Copyright © 2019 for the volume as a collection by its editors.
       This volume and its papers are published under the Creative Commons
       License Attribution 4.0 International (CC BY 4.0).
                                     Preface


It is our pleasure to present you the proceedings of MS-AMLV-2019, the first edition
of the Masters Symposium on Advances in Data Mining, Machine Learning, and Com-
puter Vision, held in Lviv (Ukraine) on November 15-16, 2019. The symposium had
been thought out as an open forum for Computer Science M.Sci. or Ph.D. students and
their supervisors. The topical focus of the symposium is within the Data Science and
Machine Learning landscape. In particular, it solicited contributions dealing with novel
techniques, technologies and methodologies, based on the synergies in Data and
Knowledge Mining, Machine Learning, Computer Vision and Augmented Reality,
Natural Language Processing.
    The Symposium proved to become a venue giving a good chance for young research-
ers and practitioners, both from academia and industry, to present and receive feedback
on their M.Sci. or Ph.D. projects at an early stage. It collected in its program short po-
sition papers presenting thesis proposals or projects. The event was also successful in
composing a good academic-industrial mix of talks, which became one of the stimuli
for intensive professional discussions.
    The Symposium was structured into two thematic tracks covering its topical scope.
The papers presented during the first day were focused on the research in computer
vision. The papers presented on the second day were in the areas of natural language
text processing, text mining, and knowledge extraction from natural language texts.
The program was complemented by two keynote talks given by experts in the relevant
fields. The first keynote talk was delivered by Mykola Maksymenko, an R&D director
at SoftServe, who spoke about the recent results of their team in training deep neural
networks by optimizing over hyper-parameters paths. The second keynote talk was
given by Kenneth Heafield, an associate professor and group leader focused on machine
translation at the University of Edinburgh. He spoke about their recent achievements in
improving the efficiency of machine translation that made it possible to meet the re-
quirements of users.
    Overall, MS-AMLV-2019 attracted 43 paper submissions. Out of these submissions,
we have accepted: 13 high quality and most interesting position papers,
with the acceptance rate of 30 percent.
    The symposium would not have been possible without the support of many people.
First of all, we would like to thank all the authors who submitted papers to MS-AMLV-
2019 and thus demonstrated their interest in the research problems within our scope.
We are very grateful to the members of our Program Committee for providing timely
and thorough reviews and, also, for being cooperative in doing additional review work.
We would like to thank the local organizers of the conference whose devotion and ef-
ficiency made this first inaugural instance of MS-AMLV a very interesting and effec-
tive scientific forum for early carrier researchers.


November, 2019                                     Vadim Ermolayev
                                                   Oleksii Molchanovskyi
                                                   Yaroslav Prytula