Fast Plagiarism Detection System. - Maxim Mozgovoy; Kimmo Fredriksson; Daniel R. White; Mike Joy; Erkki Sutinen (SPIRE, 2005)

Desktop Tools for Offline Plagiarism Detection in Computer Programs. - Maxim Mozgovoy (Informatics Educ., 2006)

Efficient parameterized string matching. - Kimmo Fredriksson; Maxim Mozgovoy (Inf. Process. Lett., 2006)

Using natural language parsers in plagiarism detection. - Maxim Mozgovoy; Tuomo Kakkonen; Erkki Sutinen (SLaTE, 2007)

Behavior Capture with Acting Graph: A Knowledgebase for a Game AI System. - Maxim Mozgovoy; Iskander Umarov (DNIS, 2011)

Dependency-Based Rules for Grammar Checking with LanguageTool. - Maxim Mozgovoy (FedCSIS, 2011)

Editors' Introduction to the Special Issue on Advances in Semantic Information Retrieval. - Vitaly Klyuev; Maxim Mozgovoy (Informatica (Slovenia), 2011)

Grammar Checking with Dependency Parsing: A Possible Extension for LanguageTool. - Maxim Mozgovoy (Informatica (Slovenia), 2011)

Towards WordBricks - a Virtual Language Lab for Computer-Assisted Language Learning. - Maxim Mozgovoy (FedCSIS, 2012)

Improving POS tagging for ungrammatical phrases. - Daisuke Ninomiya; Maxim Mozgovoy (HCCE, 2012)

Computer simulation of stick balancing: action point analysis. - Arkady Zgonnikov; Ihor Lubashevsky; Maxim Mozgovoy (HCCE, 2012)

Believable and Effective AI Agents in Virtual Worlds: Current State and Future Perspectives. - Iskander Umarov; Maxim Mozgovoy (Int. J. Gaming Comput. Mediat. Simulations, 2012)

Antisocial Behavior Corpus for Harmful Language Detection. - Myriam Munezero; Maxim Mozgovoy; Tuomo Kakkonen; Vitaly Klyuev; Erkki Sutinen (FedCSIS, 2013)

Exploiting sentiment analysis to track emotions in students' learning diaries. - Myriam Munezero; Calkin Suero Montero; Maxim Mozgovoy; Erkki Sutinen (Koli Calling, 2013)

WordBricks: a virtual language lab inspired by Scratch environment and dependency grammars. - Maxim Mozgovoy; Roman Efimov (Hum. centric Comput. Inf. Sci., 2013)

CALL for Open Experiments. - Roman Efimov; Maxim Mozgovoy; John Brine (CSEDU (1), 2014)

Semantic sentence structure search engine. - Nikita Gerasimov; Maxim Mozgovoy; Alexey Lagunov (FedCSIS, 2014)

Editors's Introduction to the Special Issue on "Advances in Semantic Information Retrieval". - Vitaly Klyuev; Maxim Mozgovoy (Informatica (Slovenia), 2014)

Automatic Detection of Antisocial Behaviour in Texts. - Myriam Munezero; Calkin Suero Montero; Tuomo Kakkonen; Erkki Sutinen; Maxim Mozgovoy; Vitaly Klyuev (Informatica (Slovenia), 2014)

EmoTwitter - A Fine-Grained Visualization System for Identifying Enduring Sentiments in Tweets. - Myriam Munezero; Calkin Suero Montero; Maxim Mozgovoy; Erkki Sutinen (CICLing (2), 2015)

Detecting the Likely Causes Behind the Emotion Spikes of Influential Twitter Users. - Calkin Suero Montero; Hatem Haddad; Maxim Mozgovoy; Chedi Bechikh Ali (CICLing (2), 2016)

Believable self-learning AI for world of tennis. - Maxim Mozgovoy; Marina Purgina; Iskander Umarov (CIG, 2016)

Developing a Mobile System for Natural Language Grammar Acquisition. - Marina Purgina; Maxim Mozgovoy; Vitaly Klyuev (DASC/PiCom/DataCom/CyberSciTech, 2016)

Striving with online addiction with a self-control chrome extension. - Evgeny Pyshkin; Maxim Mozgovoy; Alexander Chisler; Yulia Volkova (SSCI, 2016)

Analysis of Emotions in Real-time Twitter Streams. - Yuki Kobayashi; Myriam Munezero; Maxim Mozgovoy (Informatica (Slovenia), 2016)

Learning Language Grammar with Interactive Exercises in the Classroom and Beyond. - Marina Purgina; Maxim Mozgovoy; Monica Ward (CSEDU (1), 2017)

Visualizing Sentence Parse Trees with WordBricks. - Marina Purgina; Maxim Mozgovoy (CYBCONF, 2017)

Generating AIML Rules from Twitter Conversations. - Maxim Mozgovoy; Hiroshi Yamaguchi (FedCSIS (Communication Papers), 2017)

A Chatbot Based On AIML Rules Extracted From Twitter Dialogues. - Hiroshi Yamaguchi; Maxim Mozgovoy; Anna Danielewicz-Betz (FedCSIS (Communication Papers), 2018)

Analyzing User Behavior Data in a Mobile Tennis Game. - Maxim Mozgovoy (GEM, 2018)

Mobile farm for software testing. - Maxim Mozgovoy; Evgeny Pyshkin (MobileHCI Adjunct, 2018)

Context-Awareness and Anticipation in a Tennis Video Game AI System. - Maxim Mozgovoy (SMC, 2018)

Pass in Human Style: Learning Soccer Game Patterns from Spatiotemporal Data. - Victor Khaustov; Georgii Mola Bogdan; Maxim Mozgovoy (CoG, 2019)

Creating an Affective Fighting Game AI System with Gamygdala. - Kaori Yuda; Maxim Mozgovoy; Anna Danielewicz-Betz (CoG, 2019)

Can WordBricks Make Learning Irish More Engaging for Students? - Monica Ward; Maxim Mozgovoy; Marina Purgina (Int. J. Game Based Learn., 2019)

Learning Believable Player Movement Patterns from Human Data in a Soccer Game. - Victor Khaustov; Maxim Mozgovoy (ICACT, 2020)

Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer. - Georgii Mola Bogdan; Maxim Mozgovoy (BDA (Astronomy, Science, and Engineering), 2021)

Creating Adjustable Human-like AI Behavior in a 3D Tennis Game with Monte-Carlo Tree Search. - Kaito Kimura; Yuan Tu; Riku Tanji; Maxim Mozgovoy (SSCI, 2021)

Identification of Play Styles in Universal Fighting Engine. - Kaori Yuda; Shota Kamei; Riku Tanji; Ryoya Ito; Ippo Wakana; Maxim Mozgovoy (CoRR, 2021)

Team Sports for Game AI Benchmarking Revisited. - Maxim Mozgovoy; Mike Preuss; Rafael Bidarra (Int. J. Comput. Games Technol., 2021)

Guest Editorial Special Issue on Team AI in Games. - Maxim Mozgovoy; Mike Preuss; Rafael Bidarra (IEEE Trans. Games, 2021)

Designing Programming Exercises from Board Games. - Maxim Mozgovoy; Marina Purgina (CoRR, 2022)

DEMO PAPER: Deep Reinforcement Learning for Real-Time Fear Induction in an SCP-087-Inspired Horror Game. - Yuan Tu; Maxim Mozgovoy (CoG, 2023)

Interactive Horror Gaming: Integrating Facial Expression Recognition to Enhance Player Engagement and Immersion. - Yuan Tu; Maxim Mozgovoy (IIAI-AAI, 2023)

Exploring Students Solutions to Concurrent and Parallel Programming Exercises - Impact of Generative AI. - Maxim Mozgovoy; Calkin Suero Montero (ICER (2), 2024)