Seminars of the Research Group "Machine Learning and Social Computing"
|First seminar of Research Group "Machine Learning and Social Computing":|
trajectories of development and research of online games
|-plans and the main ideas about future work |
-design and some results of researches on social algorithms
in online games and eSports were presented.
|Trajectories of development and research of online games_Bataeva Anna.pptx|
Trajectories of development and research of online games_Online communication among eSports viewers.pptx
|ML&SC Interaction and Intelligence 2017 workshop||-service development:|
*data gathering and aggregation
*implementation of a client-server application
|Topic Modeling in Sociological and Political Studies||-basic stages of processing and applying topic modeling using the Latent Dirichlet Allocation (LDA) algorithm and its modifications for Twitter's analysis|
-application of these methods for the Integrum data
|Coverage algorithms for objects of urban environment||-building maps in R and algorithms for calculating the coverage of urban areas using the example of St. Petersburg hotels and their application|
-intermediate results of the construction of the distribution network of the express delivery companies
-algorithms for clustering and visualization of geographical objects in the python software environment
|Workshop "Recommendation systems. RecSys Challenge 2017".||Recommendation systems ant its building||08.04.2017||Alexander Sirotkin|
Ivan MishalkinStanislav Kozlov
|Startups, media and companies||-social networking at sitesto and its use by entrepreneurs|
-effect of the use of the social network on the success of start-ups
|Startups, media and companies|
|Technological stratification of the IT market. Introduction to STM and analysis of freelance projects based on data from the site fl.ru||-analysis of the structure of the IT market|
-network hierarchies of specializations
-introduction to STM (structural-topic modeling)
-analysis of freelance projects using STM
| fl python|
|Is it possible to win at the bookmaker: rating-models and social media||-Introduction to rating systems|
-improvement of algorithms for predicting the results of basketball games
|Why should I trust You: applying the LIME package for machine learning tasks||-introduction to the LIME package for verifying and improving the results of machine learning||16.11.2017||Olga Silyutina||LIME|
|Methods of semantic analysis and semantic networks||-bases of semantic analysis of texts in R|
-building semantic networks in AutoMap
|TrueSkill: rating systems||-TrueSkill rating system and how to improve it||10.04.2018||Alexander Sirotkin||TrueSkill.pdf|
|Cybersport research||Ekaterina Marchenko and Vsevolod Suschevsky:|
-design research, during which it will be considered how the team's rating, its origin and dynamics affect the probability of the occurrence of transfers between teams (the transition of players from one team to another)
- how the practice of communication and involvement of spectators of e-sports broadcasts can be transformed depending on the popularity of the tournament.
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