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Department of Industrial and Systems Engineering College of Engineering

PUBLICATIONS

Refereed Journals Articles:

  1. M. Rysz, A. Semenov. A Key Distribution Technique for Wireless Sensor Networks Using Spanning Trees, Expert Systems with Applications, 2024
  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
  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
  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
  5. K. Mansurov, A. Semenov, D. Grigoriev, A. Radionov, R. Ibragimov. Cryptocurrency exchange simulation, Computational Economics, 2024
  6. K. Mansurov, A. Semenov, D. Grigoriev, A. Radionov, R. Ibragimov. Impact of self–learning based high-frequency traders on the stock market, Expert Systems with Applications, v.232, 1205672, 2023
  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
  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
  9. W. Distaso, R. Ibragimov, A. Semenov, A. Skrobotov, COVID-19: Tail Risk and Predictive Regressions, PLoS One,17(12): e0275516, 2022
  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
  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.
  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.
  13. A. Kammerdiner, A. Semenov, E.L. Pasiliao, Multidimensional Assignment Problem for multipartite entity resolution, Journal of Global Optimization,  84, 491–523, 2022
  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.
  15. A. Semenov, M. Rysz, G. Pandey, G. Xu. Diversity in News Recommendations using Contextual Bandits, Expert Systems with Applications, v. 195, 116478, 2022.
  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
  17. V. Habic, A. Semenov, E.L. Pasiliao. Multitask deep learning for native language identification. Knowledge-Based Systems, v. 209, 2020
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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

Refereed Conference Articles:

  1. A. Jarynowski, L. Czekaj, A. Semenov, V Belik, “Multiplex Network Approach for Modeling the Spread of African Swine Fever in Poland”, 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
  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
  3. M. Röckl, M. Paul, A. Jarynowski, A. Semenov, V. Belik, “Driving Factors of Polarization on Twitter During Protests Against COVID-19 Mitigation Measures in Vienna”,  In: Dinh, T.N., Li, M. (eds) Computational Data and Social Networks . CSoNet 2022. Lecture Notes in Computer Science, vol 13831. Springer, Cham. 2023
  4. M. Borisov, V. Kolycheva, A. Semenov, D Grigoriev, “The Influence of Color on Prices of Abstract Paintings”,  In: Dinh, T.N., Li, M. (eds) Computational Data and Social Networks . CSoNet 2022. Lecture Notes in Computer Science, vol 13831. Springer, Cham. 2023
  5. H. Heinonen, A. Semenov, “Recycling Hashes from Reversible Bitcoin Mining to Seed Pseudorandom Number Generators”, International Conference on Blockchain (SCF ICBC 2021).
  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
  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
  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
  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
  10. G. Laatikainen, A. Semenov, Y. Zhang, P. Abrahamsson, “What Key Aspects Do ICOs Reveal About Their Businesses?”,  International Conference on Agile Software Development, pp. 41-49, 2020
  11. G. Laatikainen, A. Semenov, Y. Zhang, P. Abrahamsson, “ICO Crowdfunding: Incentives, Pricing Strategy, Token Strategy and Crowd Involvement”,  International Conference on Agile Software Development, pp. 32-40, 2020
  12. A. Semenov, V. Boginski , E. L. Pasiliao, “Neural Networks with Multidimensional Cross-Entropy Loss Functions”,  CSoNet 2019, International Conference on Computational Social Networks, pp. 57-62, 2019
  13. A. Nikolaev, A. Semenov, E. L. Pasiliao, “Sampled Fictitious Play on Networks”,  CSoNet 2019, International Conference on Computational Social Networks, pp. 33-44, 2019
  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
  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.
  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
  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
  18. A. Semenov, G. Pandey, D. Kotkov, “Markov Decision Processes for Fake Accounts Detection”, CSoNet 2018 (short), LNCS 11280, pp. 539 – 540, 2018
  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
  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
  21. D. Kose, A. Semenov,  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
  22. A. Romanov,  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
  23. A. Romanov,  A. Semenov,  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
  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
  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
  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
  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
  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
  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
  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
  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
  32. A. Semenov, J. Veijalainen, M. Hajeer,  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
  33. A. Semenov, A. Nikolaev,  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
  34. A. Semenov, “Analysis of services in Tor network”. 12th European Conference on Information Warfare and Security ECIW-2013, Jyvaskyla, Finland, 2013
  35. B. Bisong, E. Asonganyi, A. Gontarenko, A. Semenov, J. Veijalainen, “Mobile Healthcare System for Sub-Saharan Africa”,  MOBIHEALTH 2012 proceedings, Paris, France, 2012
  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
  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
  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
  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

Refereed Book Chapters:

  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
  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

Other Peer-Reviewed Publications:

  1. In Finnish: M. Lonkila, E. Luhtakallio, T. Ylä-Anttila, P. Jokivuori,  A. Semenov. Oikeuttamisverkostot: miten analysoida julkisissa keskusteluissa esitettyjen oikeutusten keskinäisiä suhteita. Sosiologia, 58(3), 2021, pp. 269-284.
  2. In Russian:  A. Semenov, A. Boukhanovsky, Metrological analysis in social networks: Izv.vuzov, Priborostrienie, 2011
  3. In Russian:  A. Semenov, A. Boukhanovsky, Metrology for high-performance computations and networks, Vestnik ITMO, 2008