Dota2 pre-game prediction by Wu, Hao

“…Dota2 is a very popular Multiplayer Online Battle Arena (MOBA) game. …”
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Machine Learning Approaches to Choose Heroes in Dota 2 by Iuliia Porokhnenko, Petr Polezhaev, Alexander Shukhman

“…The winning in the multiplayer online game Dota 2 for teams is a sum of many factors. One of the most significant of them is the right choice of heroes for the team. …”
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Relationships between Dota 2 expertise and decision-making ability. by Daniel Eriksson Sörman, Karl Eriksson Dahl, Daniel Lindmark, Patrik Hansson, Mariana Vega-Mendoza, Jessica Körning-Ljungberg

“…Two indicators of players' performance in Dota 2, namely match-making rating (MMR) and Medal, were used as predictors of performance in the IGT in path models. …”
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Time to Die 2: Improved in-game death prediction in Dota 2 by Charles Ringer, Sondess Missaoui, Victoria J. Hodge, Alan Pedrassoli Chitayat, Athanasios Kokkinakis, Sagarika Patra, Simon Demediuk, Alvaro Caceres Munoz, Oluseji Olarewaju, Marian Ursu, Ben Kirman, Jonathan Hook, Florian Block, Anders Drachen, James Alfred Walker

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The effect of progressive muscle relaxation on, anxiety, mood and dota 2 performance by Ann, Mok Hua

“…The result from the mixed factorial ANOVA showed no significant difference between PMR group and control group in anxiety, mood and DOTA 2 performance. In conclusion, progressive muscle relaxation (PMR) training had no significant effect on anxiety, mood and DOTA 2 performance.…”
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“SECURE LANE”: EXPLORING DOTA 2 PLAYERS’ EXPERIENCE ON THEIR INCIDENTAL VOCABULARY LEARNING by Arvega Rachmad, Sugeng Susilo Adi, Devinta Puspita Ratri

“…The data was gained from 100 students of a state university in Indonesia who played Dota 2 by distributing a questionnaire adopted from Cabraja (2016) to get the players’ view and Schmitt’s Vocabulary Levels Test (VLT) to know players’ vocabulary level. …”
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Behavioral differences of individuals with different self-regulation levels in a real-life example of teamwork—DOTA 2 by Yilin Wang, Yilin Wang, Jiexing Leng, Jiexing Leng, Yichuan Zhang, Wenwen Chen, Fugui Xing, Nan Zhao, Nan Zhao

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Network Analysis of the Relationship between Personality Traits and Online Behaviour in Adolescents and Young Adults: A Research on Dota 2 Players by O.V. Rubtsova, S.L. Artemenkov, A.S. Panfilova, A.M. Tokarchuk

“… <p>The article presents the results of a correlation analysis of the influence of Dota-2 players&rsquo; personal characteristics on their behavior in the virtual space. …”
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Imageological/Structural Study regarding the Improved Pharmacokinetics by ⁶⁸Ga-Labeled PEGylated PSMA Multimer in Prostate Cancer by Huihui Zhang, Maohua Rao, Huayi Zhao, Jianli Ren, Lan Hao, Meng Zhong, Yue Chen, Xia Yang, Yue Feng, Gengbiao Yuan

“…Herein, we reported a series ⁶⁸Ga/¹⁷⁷Lu-labeled multimer PSMA tracer conjugating with PEG chain, including [⁶⁸Ga]Ga-DOTA-(1P-PEG₄), [⁶⁸Ga]Ga-DOTA-(2P-PEG₀), [⁶⁸Ga]Ga-DOTA-(2P-PEG₄), and [⁶⁸Ga]Ga/[¹⁷⁷Lu]Lu-DOTA-(2P-PEG₄)₂, which showed an advantage of a multivalent effect and PEGylation to achieve higher tumor accumulation and faster kidney clearance. …”
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The Influence Of Technology Acceptance, Effectiveness, Motivation, Opportunity And Social Identity Towards Customer Know-How Dota Gamers by Nugrahani, Rah Utami

“…Focusing on Indonesian active online Dota2 gaming players, this study investigates the antecedents of customer-to-customer online knowhow exchange (C2COKHE) and moderating effect of social identity (SI) on this behavior. …”
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Deep reinforcement learning for real world problems by Wee, Andrew Chin Ho

“…Dota 2 is a popular Multiplayer Online Battle Arena (MOBA) video game. …”
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Using a Panchromatic Image to Improve Hyperspectral Unmixing by Simon Rebeyrol, Yannick Deville, Véronique Achard, Xavier Briottet, Stephane May

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Quantifying particulate matter optical properties and flow rate in industrial stack plumes from the PRISMA hyperspectral imager by G. Calassou, P.-Y. Foucher, J.-F. Léon

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A Study of Motor Functional Asymmetry Indicators in Different Sportsmanship Level Esports Athletes by Svitlana Рiatysotska, Leonid Podrіgalo, Vyacheslav Romanenko, Andrii Yefremenko, Yuliia Petrenko, Hanna Poltoratska

“…Group 1: elite players of semi-professional teams in CS:GO and DOTA 2 disciplines, n=10, age (19.2±0.50) years. Group 2: amateur CS:GO and DOTA 2 players, n=10, age (18.2±1.04) years. …”
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Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data by Gabriel Calassou, Pierre-Yves Foucher, Jean-François Léon

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Multi-agent reinforcement learning for traffic congestion on one-way multi-lane highways by Nguyen-Tuan-Thanh Le

“…In addition, reinforcement learning, a branch of Machine Learning, that models the learning process of a single agent as a Markov decision process, has recently achieved remarkable results in several domains (e.g. Atari games, Dota 2, Go, Self-driving cars, Protein folding, etc.), especially with the invention of deep reinforcement learning. …”
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A Survey of Planning and Learning in Games by Fernando Fradique Duarte, Nuno Lau, Artur Pereira, Luis Paulo Reis

“…From classical board games such as chess, checkers, backgammon and Go, to video games such as Dota 2 and StarCraft II, artificial intelligence research has devised computer programs that can play at the level of a human master and even at a human world champion level. …”
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Identification of Players Ranking in E-Sport by Karol Urbaniak, Jarosław Wątróbski, Wojciech Sałabun

“…The competitions in games, like FIFA, Dota2, the League of Legends, and Counter-Strike, are prestigious tournaments with a global reach and a budget of millions of dollars. …”
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Regulation of MRI contrast and cellular retention time by cellular interfacial distribution of Gd agents: Implications for stem cell tracking by Yanhui Zhang, Binbin Li, Bo Tan, Hailu Zhang, Zongwu Deng

“…Human mesenchymal stem cells (hMSCs) were labeled with Dotarem or (Gd-DOTA)2- EM7 (EM7Gd2) via electroporation (EP). Cellular transmission electron microscopy (TEM) reveals free distribution of Gd agents and formation of EM7Gd2 clusters in the cytosol. …”
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Mining Insights From Esports Game Reviews With an Aspect-Based Sentiment Analysis Framework by Yang Yu, Duy-Tai Dinh, Ba-Hung Nguyen, Fangyu Yu, Van-Nam Huynh

“…We experimented using a dataset containing 1.6 million English reviews collected up to December 2021 for four esports games on Steam: TEKKEN7, Dota2, PUBG, and CS:GO. The experimental results demonstrated that the proposed framework can efficiently identify players&#x2019; concerns and reveal interesting keywords underlying their reviews. …”
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