{"id":17,"date":"2023-06-05T19:26:58","date_gmt":"2023-06-05T19:26:58","guid":{"rendered":"https:\/\/www.ise.ufl.edu\/alexander\/?page_id=17"},"modified":"2024-09-25T15:50:52","modified_gmt":"2024-09-25T19:50:52","slug":"publications","status":"publish","type":"page","link":"https:\/\/faculty.eng.ufl.edu\/alexander\/publications\/","title":{"rendered":"PUBLICATIONS"},"content":{"rendered":"

Refereed Journals Articles:<\/h2>\n
    \n
  1. M. Rysz, A. Semenov. A Key Distribution Technique for Wireless Sensor Networks Using Spanning Trees, Expert Systems with Applications, 2024<\/li>\n
  2. A. Pimenov, V. Kolycheva, A. Semenov, D. Grigoriev. The Death of The Author: the case of art market, accepted, Empirical Studies of the Arts, 2024<\/li>\n
  3. X. Zan, A. Semenov, C. Wang, X. Xian, W. Geremew. Causality-aware Social Recommender System with Network Homophily Informed Multi-treatment Confounders, Information Sciences, v. 676, 120729, 2024<\/li>\n
  4. A. Semenov, M. Rysz, G. Demeyer. Deep Learning Approach for SAR Image Retrieval for Reliable Positioning in GPS-Challenged Environments, IEEE Transactions on Geoscience and Remote Sensing, v.62, 2024<\/li>\n
  5. K. Mansurov, A. Semenov, D. Grigoriev, A. Radionov, R. Ibragimov. Cryptocurrency exchange simulation, Computational Economics, 2024<\/li>\n
  6. K. Mansurov, A. Semenov, D. Grigoriev, A. Radionov, R. Ibragimov. Impact of self\u2013learning based high-frequency traders on the stock market, Expert Systems with Applications, v.232, 1205672, 2023<\/li>\n
  7. A. Kammerdiner, A. Semenov, E. L. Pasiliao, Landscape properties of the very large-scale and the variable neighborhood search metaheuristics for the multidimensional assignment problem, Journal of Global Optimization, 2023<\/li>\n
  8. A. Kammerdiner, A. Semenov, E. L. Pasiliao, Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations, Operations Research Forum 4 (29), 2023<\/span><\/li>\n
  9. W. Distaso, R. Ibragimov, A. Semenov, A. Skrobotov, COVID-19: Tail Risk and Predictive Regressions, PLoS One,17(12): e0275516, 2022<\/li>\n
  10. X. Xian, A. Semenov, Y. Hu, Y. Jin, Adaptive Sampling and Quick Anomaly Detection in Large Networks, IEEE Transactions on Automation Science and Engineering, 2022<\/li>\n
  11. H. Heinonen, A. Semenov, J. Veijalainen, T. Hamalainen, A Survey on Technologies Which Make Bitcoin Greener or More Justified, IEEE Access, vol. 10, pp. 74792-74814, 2022.<\/li>\n
  12. O. Shirokikh, G. Pastukhov, A. Semenov, S. Butenko, A. Veremyev, E. L. Pasiliao, V. Boginski, Networks of Causal Relationships in the U.S. Stock Market, Dependence Modeling , v. 10, p. 177–190, 2022.<\/li>\n
  13. A. Kammerdiner, A. Semenov, E.L. Pasiliao, Multidimensional Assignment Problem for multipartite entity resolution, Journal of Global Optimization,\u00a0 84, 491\u2013523, 2022<\/li>\n
  14. Y. Zhang, C. Ridings, A. Semenov. What to Post? Understanding Engagement Cultivation in Microblogging with Big Data-Driven Theory Building, International Journal of Information Management, 102509, 2022.<\/li>\n
  15. A. Semenov, M. Rysz, G. Pandey, G. Xu. Diversity in News Recommendations using Contextual Bandits, Expert Systems with Applications, v. 195, 116478, 2022.<\/li>\n
  16. A. Jarynowski, A. Semenov, M. Kaminski, V. Belik. Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning. Journal of Medical Internet Research, 32 (11), e30529, 2021<\/li>\n
  17. V. Habic, A. Semenov, E.L. Pasiliao. Multitask deep learning for native language identification. Knowledge-Based Systems, v. 209, 2020<\/li>\n
  18. A. Semenov, A. Veremyev, A. Nikolaev, E.L. Pasiliao, V. Boginski. Network-based indices of individual and collective advising impacts in mathematics. Computational Social Networks, 2020, 7: 1. DOI: 10.1186\/s40649-019-0075-0<\/li>\n
  19. A. Veremyev, A. Semenov, E.L. Pasiliao, V. Boginski. Graph-Based Exploration and Clustering Analysis of Semantic Spaces. Applied Network Science, special issue on machine learning with graphs, 2019, DOI: 10.1007\/s41109-019-0228-y<\/li>\n
  20. G. Xu, A. Semenov, M. Rysz. An Integer Programming Formulation of the Key Management Problem in Wireless Sensor Networks. Optimization Letters, 2019, DOI: 10.1007\/s11590-019-01465-2<\/li>\n
  21. A. Semenov, A.V. Mantzaris, A. Nikolaev, A. Veremyev, J. Veijalainen, E.L. Pasiliao, V. Boginski. Exploring social media network landscape of post-Soviet space. IEEE Access, 7: p. 411–426, 2019. DOI: 10.1109\/ACCESS.2018.2885479<\/li>\n
  22. W. Geremew, N.M. Nam, A. Semenov, V. Boginski, E.L. Pasiliao. A DC programming approach for solving multicast network design problems via the Nesterov smoothing technique. Journal of Global Optimization, 2018. DOI: 10.1007\/s10898-018-0671-9<\/li>\n
  23. M. Samadi, R. Nagi, A. Semenov, A. Nikolaev. Seed activation scheduling for influence maximization in social networks, Omega, Volume 77, 2018, p. 96–114<\/li>\n
  24. R. Gopalsamy, A. Semenov, E.L. Pasiliao, S. McIntosh, A. Nikolaev. Establishing Engagement as a Driver of Growth of Online Health Communities. Journal of Medical Internet Research. 19(8):e304, 2017, DOI: 10.2196\/jmir.724<\/li>\n
  25. D. Duvanova, A. Nikolsko-Rzhevskyy, A. Nikolaev, A. Semenov. Violent Conflict and Online Segregation: An analysis of social network communication across Ukraine’s regions, Journal of Comparative Economics, Volume 44, Issue 1, 2016, p. 163–181<\/li>\n
  26. D. Duvanova, A. Nikolaev, A. Semenov. Do social networks bridge political divides? The analysis of VKontakte social network communication in Ukraine. Post-Soviet Affairs, p. 224–249, Volume 31, Issue 3, 2015, DOI:10.1080\/1060586X.2014.918453<\/li>\n
  27. M. Stearns, S. Nambiar, A. Nikolaev, S. McIntosh, A. Semenov. Towards Evaluating and Enhancing the Reach of Online Health Forums as a Treatment of Smoking, Network Modeling Analysis in Health Informatics and Bioinformatics, 3(1), 2014, p. 1–11<\/li>\n
  28. A. Semenov, J. Veijalainen. A modeling framework for social media monitoring, Int. J. of Web Engineering and Technology, 2013, Vol.8, No.3, p. 217–49<\/li>\n
  29. A. Semenov, J. Veijalainen, J. Kyppo. Analysing the presence of school-shooting related communities at social media sites.International Journal of Multimedia Intelligence and Security (IJMIS), 1(3), 2010, p. 232–268<\/li>\n<\/ol>\n

    Refereed Conference Articles:<\/h2>\n
      \n
    1. A. Jarynowski, L. Czekaj, A. Semenov, V Belik, \u201cMultiplex Network Approach for Modeling the Spread of African Swine Fever in Poland\u201d, In: Ha, M.H., Zhu, X., Thai, M.T. (eds) Computational Data and Social Networks. CSoNet 2023. Lecture Notes in Computer Science, vol 14479. Springer, Singapore, 2024<\/li>\n
    2. Z. Qiang, E. L. Pasiliao, A. Semenov, Q. P. Zheng, “Incorporating Neighborhood Information and Sentence Embedding Similarity into a Repost Prediction Model in Social Media Networks”, In: Dinh, T.N., Li, M. (eds) Computational Data and Social Networks . CSoNet 2022. Lecture Notes in Computer Science, vol 13831. Springer, Cham. 2023<\/li>\n
    3. M. R\u00f6ckl, M. Paul, A. Jarynowski, A. Semenov, V. Belik, “Driving Factors of Polarization on Twitter During Protests Against COVID-19 Mitigation Measures in Vienna”,\u00a0 In: Dinh, T.N., Li, M. (eds) Computational Data and Social Networks . CSoNet 2022. Lecture Notes in Computer Science, vol 13831. Springer, Cham. 2023<\/li>\n
    4. M. Borisov, V. Kolycheva, A. Semenov, D Grigoriev, “The Influence of Color on Prices of Abstract Paintings”,\u00a0 In: Dinh, T.N., Li, M. (eds) Computational Data and Social Networks . CSoNet 2022. Lecture Notes in Computer Science, vol 13831. Springer, Cham. 2023<\/li>\n
    5. H. Heinonen, A. Semenov, “Recycling Hashes from Reversible Bitcoin Mining to Seed Pseudorandom Number Generators”, International Conference on Blockchain (SCF ICBC 2021).<\/li>\n
    6. A. Jarynowski, A. Semenov, M. Wojta-Kempa, V. Belik, “Social cohesion during the stay-at-home phase of the first wave of the COVID-19 pandemic on Polish-speaking Twitter”, In: Mohaisen, D., Jin, R. (eds) Computational Data and Social Networks. CSoNet 2021. Lecture Notes in Computer Science, vol 13116. Springer, Cham, 2021<\/li>\n
    7. A. Semenov, A. Veremyev, E.L. Pasiliao, V. Boginski, “Double-Threshold Models for Network Influence Propagation”, CSoNet 2020. Lecture Notes in Computer Science, vol 12575. Springer, Cham. 2020<\/li>\n
    8. A. Jarynowski, A. Semenov, V. Belik, “Protest Perspective Against COVID-19 Risk Mitigation Strategies on the German Internet”, CSoNet 2020. Lecture Notes in Computer Science, vol 12575. Springer, Cham. 2020<\/li>\n
    9. H. Heinonen, A. Semenov, V. Boginski, “Collective Behavior of Price Changes of ERC-20 Tokens”, CSoNet 2020. Lecture Notes in Computer Science, vol 12575. Springer, Cham. 2020<\/li>\n
    10. G. Laatikainen, A. Semenov, Y. Zhang, P. Abrahamsson, “What Key Aspects Do ICOs Reveal About Their Businesses?”,\u00a0 International Conference on Agile Software Development, pp. 41-49, 2020<\/li>\n
    11. G. Laatikainen, A. Semenov, Y. Zhang, P. Abrahamsson, “ICO Crowdfunding: Incentives, Pricing Strategy, Token Strategy and Crowd Involvement”,\u00a0 International Conference on Agile Software Development, pp. 32-40, 2020<\/li>\n
    12. A. Semenov, V. Boginski , E. L. Pasiliao, “Neural Networks with Multidimensional Cross-Entropy Loss Functions”,\u00a0 CSoNet 2019, International Conference on Computational Social Networks, pp. 57-62, 2019<\/li>\n
    13. A. Nikolaev, A. Semenov, E. L. Pasiliao, “Sampled Fictitious Play on Networks”,\u00a0 CSoNet 2019, International Conference on Computational Social Networks, pp. 33-44, 2019<\/li>\n
    14. E. Kazan, S. Tumbas, T. Tuunanen, H. Ghanbari, A. Semenov, “The Platformization of the Finnish Newspaper Industry: the Design Towards a Unified Digital Subscription Service”, accepted at the 42nd Information Systems Research Seminar (IRIS) in Scandinavia, 2019<\/li>\n
    15. G. Pandey, A. Baranwal, A. Semenov, “Identifying Images with Ladders using Deep CNN Transfer Learning”, In: Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019 (Proceedings of the 11th KES International Conference on Intelligent Decision Technologies), vol 142.<\/li>\n
    16. A. Semenov, A. Veremyev, A. Nikolaev, E. L. Pasiliao, V. Boginski, “Ranking Academic Advisors: Analyzing scientific advising impact using MathGenealogy social network”, CSoNet 2018, International Conference on Computational Social Networks, pp. 437-449, 2018<\/li>\n
    17. O. Shirokikh, G. Pastukhov, A. Semenov, S. Butenko, A. Veremyev, E. L. Pasiliao, V. Boginski, “The Network of Causal Relationships in the U.S. Stock Market”, CSoNet 2018 (short), LNCS 11280, pp. 541 – 542, 2018<\/li>\n
    18. A. Semenov, G. Pandey, D. Kotkov, “Markov Decision Processes for Fake Accounts Detection”, CSoNet 2018 (short), LNCS 11280, pp. 539 – 540, 2018<\/li>\n
    19. D. Kotkov, G. Pandey, A. Semenov, “Gaming Bot Detection: A Systematic Literature Review”, CSoNet 2018, International Conference on Computational Social Networks, pp. 247-258, 2018<\/li>\n
    20. G. Pandey, D. Kotkov, A. Semenov, “Recommending Serendipitous Items using Transfer Learning”. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM ’18). ACM, New York, NY, USA, pp. 1771-1774, 2018<\/li>\n
    21. D. Kose, A. Semenov,\u00a0 T. Tuunanen, “Utilitarian Use of Social Media Services: A Study on Twitter”. In Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS 2018), pp. 1046-1055, 2018<\/li>\n
    22. A. Romanov,\u00a0 A. Semenov, J. Veijalainen, “Revealing Fake Profiles in Social Networks by Longitudinal Data Analysis”. In Proceedings of the 13th International Conference on Web Information Systems and Technologies – Volume 1: WEBIST, ISBN 978-989-758-246-2, pp. 51-58, 2017<\/li>\n
    23. A. Romanov,\u00a0 A. Semenov,\u00a0 O. Mazhelis, J. Veijalainen, “Detection of Fake Profiles in Social Media – Literature Review”. In Proceedings of the 13th International Conference on Web Information Systems and Technologies – Volume 1: WEBIST, ISBN 978-989-758-246-2, pp. 363-369, 2017<\/li>\n
    24. B. Zhang, D. Kotkov, J. Veijalainen, A. Semenov, “Online Stakeholder Interaction of Some Airlines in the Light of Situational Crisis Communication Theory”, Conference on e-Business, e-Services and e-Society, 2016<\/li>\n
    25. A. Semenov, A. Nikolaev, A. Veremyev, V. Boginski, E.L. Pasiliao, “Analysis of Viral Advertisement Re-Posting Activity in Social Media”. In: Nguyen H., Snasel V. (eds) Computational Social Networks. CSoNet 2016. Lecture Notes in Computer Science, vol 9795. Springer, 2016<\/li>\n
    26. D. Kose, J Veijalainen, A Semenov, “Identity Use and Misuse of Public Persona on Twitter”, WEBIST 2016: Proceedings of the 12th International conference on web information systems and technologies. Volume 1, 978-989-758-186-1, 2016<\/li>\n
    27. J Veijalainen, A. Eremeev, G. Korneev, A. Semenov, “The Spanning Tree based Approach for Solving the Shortest Path Problem in Social Graphs”, Proceedings of WEBIST 2016, ISBN: 978-989-758-186-1, 2016<\/li>\n
    28. A. Farseev, D. Kotkov, A. Semenov, J. Veijalainen, Tat-Seng Chua, “Cross-Social Network Collaborative Recommendation”, Proceedings of the ACM Web Science Conference, 38, 2015<\/li>\n
    29. J. Veijalainen, A. Semenov, M. Reinikainen, “User influence and follower metrics in a large Twitter dataset”, WEBIST 2015: Proceedings of the 11th International conference on web information systems and technologies, 2015<\/li>\n
    30. B. Zhang, A. Semenov, M. Vos, J. Veijalainen, “Understanding Fast Diffusion of Information in the Social Media Environment. A Comparison of Two Cases”, In ICC 2014 Conference Proceedings, pp. 522-533, 2014<\/li>\n
    31. M. Hajeer, D. Dasgupta, A. Semenov, J. Veijalainen, “Distributed evolutionary approach to data clustering and modeling”. in 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp. 142 – 148, 2014<\/li>\n
    32. A. Semenov, J. Veijalainen, M. Hajeer,\u00a0 D. Dasgupta, “Political Communities in Russian Portion of Livejournal,” in 2014 International Conference on Computational Science and Computational Intelligence (CSCI), vol. 1, pp. 314 – 319, 2014<\/li>\n
    33. A. Semenov, A. Nikolaev,\u00a0 J. Veijalainen, “Online Activity Traces Around a “Boston Bomber””, International Symposium on Foundation of Open Source Intelligence and Security Informatics, In Proceedings of 2013 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, ON, Canada, pp. 1050 – 1053, 2013<\/li>\n
    34. A. Semenov, “Analysis of services in Tor network”. 12th European Conference on Information Warfare and Security ECIW-2013, Jyvaskyla, Finland, 2013<\/li>\n
    35. B. Bisong, E. Asonganyi, A. Gontarenko, A. Semenov, J. Veijalainen, “Mobile Healthcare System for Sub-Saharan Africa”,\u00a0 MOBIHEALTH 2012 proceedings, Paris, France, 2012<\/li>\n
    36. A. Semenov, J. Veijalainen, “A Repository for multirelational dynamic networks”, International Workshop on Complex Social Network Analysis (CSNA), The 2012 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, Istanbul, Turkey DOI: 10.1109\/ASONAM.2012.174, 2012<\/li>\n
    37. A. Semenov, J. Veijalainen, “Ontology-Guided Social Media Analysis, System Architecture”, SCOE Special Session, In conjunction with the 14th International Conference on Enterprise Information Systems – ICEIS 2012, Wroclaw, Poland DOI: 10.5220\/0004157303350341, 2012<\/li>\n
    38. A. Semenov, J. Veijalainen, A. Boukhanovsky, “A generic Architecture for a Social Network Monitoring and Analysis System”. 14th International Conference on Network-Based Information Systems (NBiS), pp. 178-185, DOI: 10.1109\/NBiS.2011.52, 2011<\/li>\n
    39. J. Veijalainen, A. Semenov, J. Kyppo, “Tracing potential school shooters in the digital sphere”. Proc. Of ISA 2010 conference, Miyazaki, Japan, June 2010. CCIS \\# 76, Springer Verlag 2010, pp. 163-178. DOI: 10.1007\/978-3-642-13365-7\\_16, 2010<\/li>\n<\/ol>\n

      Refereed Book Chapters:<\/h2>\n
        \n
      1. Semenov, M. Rysz, G. Demeyer, “Synthetic Aperture Radar Image Based Navigation Using Siamese Neural Networks, Synthetic Aperture Radar (SAR) Data Applications”, Editors: Maciej Rysz, Arsenios Tsokas, Kathleen Dipple, Kaitlin Fair, Panos Pardalos, Springer, 2022<\/li>\n
      2. Romanov, A. Semenov, and J. Veijalainen, “Repository for Multirelational Dynamic Networks,” in Encyclopedia of Social Network Analysis and Mining, R. Alhajj and J. Rokne, Eds. New York, NY: Springer New York, 2017, pp. 1–16, DOI: 10.1007\/978-1-4939-7131-2_110154<\/li>\n<\/ol>\n

        Other Peer-Reviewed Publications:<\/h2>\n
          \n
        1. In Finnish: M. Lonkila, E. Luhtakallio, T. Yl\u00e4-Anttila, P. Jokivuori,\u00a0 A. Semenov. Oikeuttamisverkostot: miten analysoida julkisissa keskusteluissa esitettyjen oikeutusten keskin\u00e4isi\u00e4 suhteita. Sosiologia, 58(3), 2021, pp. 269-284.<\/li>\n
        2. In Russian:\u00a0 A. Semenov, A. Boukhanovsky, Metrological analysis in social networks: Izv.vuzov, Priborostrienie, 2011<\/li>\n
        3. In Russian:\u00a0 A. Semenov, A. Boukhanovsky, Metrology for high-performance computations and networks, Vestnik ITMO, 2008<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

          Refereed Journals Articles: M. Rysz, A. Semenov. A Key Distribution Technique for Wireless Sensor Networks Using Spanning Trees, Expert Systems with Applications, 2024 A. Pimenov, V. Kolycheva, A. Semenov, D. Grigoriev. The Death of The Author: the case of art market, accepted, Empirical Studies of the Arts, 2024 X. Zan, A. Semenov, C. Wang, X. […]<\/p>\n","protected":false},"author":1112,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/page-sidebar-none.php","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-17","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/alexander\/wp-json\/wp\/v2\/pages\/17","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.ufl.edu\/alexander\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.eng.ufl.edu\/alexander\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/alexander\/wp-json\/wp\/v2\/users\/1112"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/alexander\/wp-json\/wp\/v2\/comments?post=17"}],"version-history":[{"count":1,"href":"https:\/\/faculty.eng.ufl.edu\/alexander\/wp-json\/wp\/v2\/pages\/17\/revisions"}],"predecessor-version":[{"id":62,"href":"https:\/\/faculty.eng.ufl.edu\/alexander\/wp-json\/wp\/v2\/pages\/17\/revisions\/62"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/alexander\/wp-json\/wp\/v2\/media?parent=17"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}