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ORCIDMaxim Mozgovoy
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2020 – today
- 2024
[c31]Maxim Mozgovoy
, Calkin Suero Montero:
Exploring Students Solutions to Concurrent and Parallel Programming Exercises - Impact of Generative AI. ICER (2) 2024: 533-534- 2023
- [c30]Yuan Tu, Maxim Mozgovoy:
DEMO PAPER: Deep Reinforcement Learning for Real-Time Fear Induction in an SCP-087-Inspired Horror Game. CoG 2023: 1-2 - [c29]Yuan Tu, Maxim Mozgovoy:
Interactive Horror Gaming: Integrating Facial Expression Recognition to Enhance Player Engagement and Immersion. IIAI-AAI 2023: 25-28 - 2022
- [i2]Maxim Mozgovoy, Marina Purgina:
Designing Programming Exercises from Board Games. CoRR abs/2208.00823 (2022) - 2021
- [j12]Maxim Mozgovoy, Mike Preuss, Rafael Bidarra:
Team Sports for Game AI Benchmarking Revisited. Int. J. Comput. Games Technol. 2021: 5521877:1-5521877:9 (2021) - [j11]Maxim Mozgovoy, Mike Preuss, Rafael Bidarra:
Guest Editorial Special Issue on Team AI in Games. IEEE Trans. Games 13(4): 327-329 (2021) - [c28]Georgii Mola Bogdan, Maxim Mozgovoy:
Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer. BDA (Astronomy, Science, and Engineering) 2021: 83-92 - [c27]Kaito Kimura, Yuan Tu, Riku Tanji, Maxim Mozgovoy:
Creating Adjustable Human-like AI Behavior in a 3D Tennis Game with Monte-Carlo Tree Search. SSCI 2021: 1-6 - [i1]Kaori Yuda, Shota Kamei, Riku Tanji, Ryoya Ito, Ippo Wakana, Maxim Mozgovoy:
Identification of Play Styles in Universal Fighting Engine. CoRR abs/2108.03599 (2021) - 2020
- [c26]Victor Khaustov, Maxim Mozgovoy:
Learning Believable Player Movement Patterns from Human Data in a Soccer Game. ICACT 2020: 91-93
2010 – 2019
- 2019
- [j10]Monica Ward, Maxim Mozgovoy, Marina Purgina:
Can WordBricks Make Learning Irish More Engaging for Students? Int. J. Game Based Learn. 9(2): 20-39 (2019) - [c25]Victor Khaustov, Georgii Mola Bogdan, Maxim Mozgovoy:
Pass in Human Style: Learning Soccer Game Patterns from Spatiotemporal Data. CoG 2019: 1-2 - [c24]Kaori Yuda, Maxim Mozgovoy, Anna Danielewicz-Betz:
Creating an Affective Fighting Game AI System with Gamygdala. CoG 2019: 1-4 - 2018
- [c23]Hiroshi Yamaguchi, Maxim Mozgovoy, Anna Danielewicz-Betz:
A Chatbot Based On AIML Rules Extracted From Twitter Dialogues. FedCSIS (Communication Papers) 2018: 37-42 - [c22]Maxim Mozgovoy:
Analyzing User Behavior Data in a Mobile Tennis Game. GEM 2018: 1-9 - [c21]Maxim Mozgovoy, Evgeny Pyshkin:
Mobile farm for software testing. MobileHCI Adjunct 2018: 31-38 - [c20]Maxim Mozgovoy:
Context-Awareness and Anticipation in a Tennis Video Game AI System. SMC 2018: 699-703 - 2017
- [c19]Marina Purgina, Maxim Mozgovoy, Monica Ward:
Learning Language Grammar with Interactive Exercises in the Classroom and Beyond. CSEDU (1) 2017: 470-475 - [c18]Marina Purgina, Maxim Mozgovoy:
Visualizing Sentence Parse Trees with WordBricks. CYBCONF 2017: 1-4 - [c17]Maxim Mozgovoy, Hiroshi Yamaguchi:
Generating AIML Rules from Twitter Conversations. FedCSIS (Communication Papers) 2017: 59-61 - 2016
- [j9]Yuki Kobayashi, Myriam Munezero, Maxim Mozgovoy:
Analysis of Emotions in Real-time Twitter Streams. Informatica (Slovenia) 40(4) (2016) - [c16]Calkin Suero Montero, Hatem Haddad, Maxim Mozgovoy, Chedi Bechikh Ali:
Detecting the Likely Causes Behind the Emotion Spikes of Influential Twitter Users. CICLing (2) 2016: 374-384 - [c15]Maxim Mozgovoy, Marina Purgina, Iskander Umarov:
Believable self-learning AI for world of tennis. CIG 2016: 1-7 - [c14]Marina Purgina, Maxim Mozgovoy, Vitaly Klyuev:
Developing a Mobile System for Natural Language Grammar Acquisition. DASC/PiCom/DataCom/CyberSciTech 2016: 322-325 - [c13]Evgeny Pyshkin, Maxim Mozgovoy, Alexander Chisler, Yulia Volkova:
Striving with online addiction with a self-control chrome extension. SSCI 2016: 1-4 - 2015
- [c12]Myriam Munezero, Calkin Suero Montero, Maxim Mozgovoy, Erkki Sutinen:
EmoTwitter - A Fine-Grained Visualization System for Identifying Enduring Sentiments in Tweets. CICLing (2) 2015: 78-91 - 2014
- [j8]Vitaly Klyuev, Maxim Mozgovoy:
Editors's Introduction to the Special Issue on "Advances in Semantic Information Retrieval". Informatica (Slovenia) 38(1) (2014) - [j7]Myriam Munezero, Calkin Suero Montero, Tuomo Kakkonen, Erkki Sutinen, Maxim Mozgovoy, Vitaly Klyuev:
Automatic Detection of Antisocial Behaviour in Texts. Informatica (Slovenia) 38(1) (2014) - [c11]Roman Efimov, Maxim Mozgovoy, John Brine:
CALL for Open Experiments. CSEDU (1) 2014: 404-408 - [c10]Nikita Gerasimov, Maxim Mozgovoy, Alexey Lagunov:
Semantic sentence structure search engine. FedCSIS 2014: 255-259 - 2013
- [j6]Maxim Mozgovoy, Roman Efimov:
WordBricks: a virtual language lab inspired by Scratch environment and dependency grammars. Hum. centric Comput. Inf. Sci. 3: 5 (2013) - [c9]Myriam Munezero, Maxim Mozgovoy, Tuomo Kakkonen, Vitaly Klyuev, Erkki Sutinen:
Antisocial Behavior Corpus for Harmful Language Detection. FedCSIS 2013: 261-265 - [c8]Myriam Munezero, Calkin Suero Montero, Maxim Mozgovoy, Erkki Sutinen:
Exploiting sentiment analysis to track emotions in students' learning diaries. Koli Calling 2013: 145-152 - 2012
- [j5]Iskander Umarov, Maxim Mozgovoy:
Believable and Effective AI Agents in Virtual Worlds: Current State and Future Perspectives. Int. J. Gaming Comput. Mediat. Simulations 4(2): 37-59 (2012) - [c7]Maxim Mozgovoy:
Towards WordBricks - a Virtual Language Lab for Computer-Assisted Language Learning. FedCSIS 2012: 229-232 - [c6]Daisuke Ninomiya, Maxim Mozgovoy:
Improving POS tagging for ungrammatical phrases. HCCE 2012: 28-31 - [c5]Arkady Zgonnikov, Ihor Lubashevsky, Maxim Mozgovoy:
Computer simulation of stick balancing: action point analysis. HCCE 2012: 162-164 - 2011
- [j4]Vitaly Klyuev, Maxim Mozgovoy:
Editors' Introduction to the Special Issue on Advances in Semantic Information Retrieval. Informatica (Slovenia) 35(4): 399-400 (2011) - [j3]Maxim Mozgovoy:
Grammar Checking with Dependency Parsing: A Possible Extension for LanguageTool. Informatica (Slovenia) 35(4): 429-434 (2011) - [c4]Maxim Mozgovoy, Iskander Umarov:
Behavior Capture with Acting Graph: A Knowledgebase for a Game AI System. DNIS 2011: 68-77 - [c3]Maxim Mozgovoy:
Dependency-Based Rules for Grammar Checking with LanguageTool. FedCSIS 2011: 209-212
2000 – 2009
- 2007
- [c2]Maxim Mozgovoy, Tuomo Kakkonen, Erkki Sutinen:
Using natural language parsers in plagiarism detection. SLaTE 2007: 77-79 - 2006
- [j2]Maxim Mozgovoy:
Desktop Tools for Offline Plagiarism Detection in Computer Programs. Informatics Educ. 5(1): 97-112 (2006) - [j1]Kimmo Fredriksson, Maxim Mozgovoy:
Efficient parameterized string matching. Inf. Process. Lett. 100(3): 91-96 (2006) - 2005
- [c1]Maxim Mozgovoy, Kimmo Fredriksson, Daniel R. White, Mike Joy, Erkki Sutinen:
Fast Plagiarism Detection System. SPIRE 2005: 267-270
Coauthor Index
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