Glukhov G., Derevitskii I., Severiukhina O., Bochenina K. Dynamic recommendation algorithms for a COVID-19 restrictions scenario in the restaurant industry. Journal of Hospitality and Tourism Technology. 2024. Vol. 15. No. 1. pp. 1-17.. doi: 10.1108/JHTT-09-2021-0278
Stavinova E., Varshavskiy I., Chunaev P., Derevitskii I., Boukhanovsky A. Dynamic Pricing for the Open Online Ticket System: A Surrogate Modeling Approach. Smart Cities. 2023. Vol. 6. No. 3. pp. 1303-1324.. doi: 10.3390/smartcities6030063
Volokha V., Derevitskii I., Bochenina K. Intelligent recommender system with online generation of model-based initial interviews for POI recommendations. International Journal of Artificial Intelligence. 2023. Vol. 21. No. 1. pp. 132-153.
Zhdanov P.S., Glukhov G., Derevitskii I. Machine Learning Approach to Optimal Restaurant Location Search. 16th IEEE International Conference on Semantic Computing, ICSC 2022. 2022. pp. 263-268.. doi: 10.1109/ICSC52841.2022.00050
Karbovskii V., Lees M.H., Presbitero A., Kurilkin A., Voloshin D., Derevitskii I., Karsakov A., Sloot P. Ensemble learning for large-scale crowd flow prediction. Engineering Applications of Artificial Intelligence. 2021. Vol. 106. pp. 104469.. doi: 10.1016/j.engappai.2021.104469
Volokha V., Derevitskii I. Offline evaluation of the recommender system initial user interview using estimation of the coverage of content characteristics. Procedia Computer Science. 2021. Vol. 193. pp. 102-111.. doi: 10.1016/j.procs.2021.10.011
Glukhov G., Derevitskii I. Points-of-Interest Recommendation Algorithms for a COVID-19 Restrictions Scenario in the Catering Industry. 15th IEEE International Conference on Application of Information and Communication Technologies, AICT 2021. 2021. pp. 1-6.. doi: 10.1109/AICT52784.2021.9620251
Derevitckii I.V., Kogtikov N., Lees M.H., Cai W., Ong M. Risk-based AED placement - singapore case. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. Vol. 12140 LNCS. pp. 577-590.. doi: 10.1007/978-3-030-50423-6_43
Zaikin O., Derevitskii I., Bochenina K.O., Holyst J.A. Optimizing Spatial Accessibility of Company Branches Network with Constraints. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11537. pp. 332-345.. doi: 10.1007/978-3-030-22741-8_24
Derevitskii I., Severiukhina O., Bochenina K. Clustering Interest Graphs for Customer Segmentation Problems. 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019. 2019. pp. 321-327.. doi: 10.1109/SNAMS.2019.8931852
Grigorev A., Severiukhina O., Derevitskii I. Anomaly Detection Using Adaptive Suppression. Procedia Computer Science. 2019. Vol. 156. pp. 274-282.. doi: 10.1016/j.procs.2019.08.203
Karbovskii V., Severiukhina O., Derevitskii I., Voloshin D., Presbitero A., Lees M. The Impact of Different Obstacles on Crowd Dynamics. Journal of Computational Science. 2019. Vol. 36. pp. 100893.. doi: 10.1016/j.jocs.2018.06.010
Derevitskii I., Nuzhdenko I., Bochenina K. Identifying places of financial interest using open data. Procedia Computer Science. 2018. Vol. 136. pp. 265-273.. doi: 10.1016/j.procs.2018.08.268
Nikitin N.O., Kalyuzhnaya A.V., Bochenina K., Kudryashov A., Uteuov A., Derevitskii I., Boukhanovsky A.V. Evolutionary ensemble approach for behavioral credit scoring. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10862. pp. 825-831.. doi: 10.1007/978-3-319-93713-7_81
Grigorev A., Derevitskii I., Bochenina K. Analysis of special transport behavior using computer vision analysis of video from traffic cameras. Communications in Computer and Information Science. 2018. Vol. 858. pp. 289-301.. doi: 10.1007/978-3-030-02843-5_23
Derevitskii I., Severiukhina O., Bochenina K., Voloshin D., Lantseva A., Boukhanovsky A. Multiagent context-dependent model of opinion dynamics in a virtual society. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10861. pp. 142-155.. doi: 10.1007/978-3-319-93701-4_11
Derevitskiy I., Krotov E., Voloshin D., Yakovlev A., Kovalchuk S.V., Karbovskii V. Simulation of emergency care for patients with ACS in Saint Petersburg for ambulance decision making. Procedia Computer Science. 2017. Vol. 108. pp. 2210-2219.. doi: 10.1016/j.procs.2017.05.178
Derevitskii I., Kurilkin A., Bochenina K. Use of video data for analysis of special transport movement. Procedia Computer Science. 2017. Vol. 119. pp. 262-268.. doi: 10.1016/j.procs.2017.11.184
Voloshin D., Derevitskiy I., Mukhina K., Karbovskii V. Identifying Venues for Female Commercial Sex Work Using Spatial Analysis of Geocoded Advertisements. Procedia Computer Science. 2016. Vol. 80. pp. 345-355.. doi: 10.1016/j.procs.2016.05.349
Voloshin D.V., Puzyreva K.A., Derevitsky I., Karbovskii V. Groups and collectivities in Crowd Modeling: Critical Evaluation of the State-of-the-art and Suggestions for Further Studies. Communications in Computer and Information Science. 2016. Vol. 674. pp. 492-497.. doi: 10.1007/978-3-319-49700-6_49
Derevitskiy I., Voloshin D.V., Mednikov L., Karbovskii V. Traffic estimation on full graph of transport network using GPS data of bus movements. Procedia Computer Science. 2016. Vol. 101. pp. 207–216.. doi: 10.1016/j.procs.2016.11.025
Knyazkov K.V., Derevitsky I., Mednikov L., Yakovlev A.N. Evaluation of Dynamic Ambulance Routing for the Transportation of Patients with Acute Coronary Syndrome in Saint-Petersburg. Procedia Computer Science. 2015. Vol. 66. pp. 419-428.. doi: 10.1016/j.procs.2015.11.048
Российская Федерация, Санкт-Петербург