Artem Baklanov

Publications¹⁸

• Chapter Goryunova N., Baklanov A., Ianovski E. A Noisy-Labels Approach to Detecting Uncompetitive Auctions, in: Machine Learning, Optimization, and Data Science Vol. 1: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I. Springer, 2022. Ch. 15. P. 185-200. doi
• Chapter Baklanov A., Garimidi P., Gkatzelis V., Schoepflin D. Achieving Proportionality up to the Maximin Item with Indivisible Goods, in: The Thirty-Fifth AAAI Conference on Artificial Intelligence. Technical Tracks 6 Vol. 35. Issue 6. AAAI Press, 2021. P. 5143-5150.
• Chapter Goryunova N., Baklanov A., Ianovski E. Detecting Corruption in Single-Bidder Auctions via Positive-Unlabelled Learning, in: Mathematical Optimization Theory and Operations Research: Recent Trends: 20th International Conference, MOTOR 2021, Irkutsk, Russia, July 5–10, 2021, Revised Selected Papers. Cham : Springer, 2021. doi P. 316-326. doi
• Article Bednar J., Obersteiner M., Baklanov A., Thomson M., Wagner F., Geden O., Allen M., Hall J. W. Operationalizing the net-negative carbon economy // Nature. 2021. No. 596. P. 377-383. doi
• Chapter Baklanov A., Garimidi P., Gkatzelis V., Schoepflin D. PROPm Allocations of Indivisible Goods to Multiple Agents, in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21). International Joint Conferences on Artificial Intelligence, 2021. P. 24-30. doi
• Preprint Baklanov A., Garimidi P., Gkatzelis V., Schoepflin D. Achieving Proportionality up to the Maximin Item with Indivisible Goods / Cornell University. Series Computer Science "arxiv.org". 2020.
• Chapter Baklanov A., Khachay M., Pasynkov M. Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan, in: 12th International Conference, LION 12, Kalamata, Greece, June 10–15, 2018, Revised Selected Papers. Springer, 2019. doi P. 427-432. doi
• Article Shchepashchenko D., See L., Lesiv M., Baklanov A., Fritz S. Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery // Surveys in Geophysics. 2019. Vol. 40. No. 4. P. 839-862. doi
• Article Folberth C., Baklanov A., Balkovič J., Skalský R., Khabarov N., Obersteiner M. Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning // Agricultural and Forest Meteorology. 2019. Vol. 264. P. 1-15. doi
• Chapter Baklanov A., Khachay M., Pasynkov M. Application of Fully Convolutional Neural Networks to Mapping Industrial Oil Palm Plantations, in: Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi P. 155-167. doi
• Chapter Subkhankulova D., Baklanov A., McCollum D. Demand Side Management: A Case for Disruptive Behaviour, in: Advanced Computational Methods for Knowledge Engineering: Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017. Springer, 2018. doi P. 47-59. doi
• Chapter Baklanov A., Ченцов П. А. A heuristic algorithm for the double integrator traveling salesman problem, in: CEUR Workshop Proceedings 48. Сер. "SoProMat 2017 - Proceedings of the 48th International Youth School Conference "Modern Problems in Mathematics and its Applications"". CEUR Workshop Proceedings, 2017. P. 203-208.
• Article Baklanov A., Chentsov A., Savenkov I. On reachable sets for one-pulse controls under constraints of asymptotic character // Cybernetics and Physics. 2017. Vol. 6. No. 4. P. 166-173.
• Chapter Rekabsaz N., Lupu M., Baklanov A., Dür A., Andersson L., Hanbury A. Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models, in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). , 2017. doi P. 1712-1721. doi
• Chapter Baklanov A., Fritz S., Khachay M., Nurmukhametov O., Salk C., See L., Shchepashchenko D. Vote Aggregation Techniques in the Geo-Wiki Crowdsourcing Game: A Case Study, in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information Science / Ed. by D. I. Ignatov, M. Y. Khachay, V. Labunets, N. V. Loukachevitch, S. I. Nikolenko, A. Panchenko, A. Savchenko, K. V. Vorontsov. Vol. 661. Switzerland : Springer, 2017. doi P. 41-50. doi
• Article Бакланов А. П. О свойстве плотности в пространствах слабо абсолютно непрерывных мер. Общий случай // Известия Института математики и информатики Удмуртского государственного университета. 2017. Т. 50. С. 3-12. doi
• Article Chentsov A., Baklanov A. On the question of construction of an attraction set under constraints of asymptotic nature / Пер. с рус. // Proceedings of the Steklov Institute of Mathematics. 2015. Vol. 291 doi
• Article Averboukh Y., Baklanov A. Stackelberg Solutions of Differential Games in the Class of Nonanticipative Strategies // Dynamic Games and Applications. 2014. Vol. 4. No. 1. P. 1-9. doi