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.
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.
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.
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.
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.
Grigorev A., Severiukhina O., Derevitskii I. Anomaly Detection Using Adaptive Suppression. Procedia Computer Science. 2019. Vol. 156. pp. 274-282.
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.
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.
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.
Derevitskii I., Nuzhdenko I., Bochenina K. Identifying places of financial interest using open data. Procedia Computer Science. 2018. Vol. 136. pp. 265-273.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Российская Федерация, Санкт-Петербург