Items where IIASA Author is "Baklanov, Artem"

Folberth, C. ORCID: https://orcid.org/0000-0002-6738-5238, Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Khabarov, N. ORCID: https://orcid.org/0000-0001-5372-4668, Oberleitner, T., Balkovič, J. ORCID: https://orcid.org/0000-0003-2955-4931 & Skalský, R. ORCID: https://orcid.org/0000-0002-0983-6897 (2024). CROMES - A fast and efficient machine learning emulator pipeline for gridded crop models. DOI:10.5194/egusphere-egu24-5852. In: EGU General Assembly 2024, 14-19 April 2024, Vienna.

Bednar, J., Macinante, J., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Hall, J., Wagner, F. ORCID: https://orcid.org/0000-0003-3429-2374, Ghaleigh, N.S. & Obersteiner, M. (2024). Beyond emissions trading to a negative carbon economy: a proposed carbon removal obligation and its implementation. Climate Policy 24 (4), 501-514. 10.1080/14693062.2023.2276858.

Bednar, J., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 & Macinante, J. (2023). The Carbon Removal Obligation: Updated analytical model and scenario analysis. IIASA Working Paper. Laxenburg, Austria: WP-23-001

Bednar, J., Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769, Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Thomson, M., Wagner, F. ORCID: https://orcid.org/0000-0003-3429-2374, Geden, O., Allen, M. & Hall, J.W. (2021). Operationalizing the net-negative carbon economy. Nature 596, 377-383. 10.1038/s41586-021-03723-9.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 (2021). Reactive Strategies: An Inch of Memory, a Mile of Equilibria. Games 12 (2), e42. 10.3390/g12020042.

Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443, Aghababaei Samani, K., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Ermolieva, T., Folberth, C. ORCID: https://orcid.org/0000-0002-6738-5238, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Hadi, H., Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Krasovskii, A. ORCID: https://orcid.org/0000-0003-0940-9366, Laurien, F. ORCID: https://orcid.org/0000-0001-7329-5864, Poblete Cazenave, M., Schinko, T. ORCID: https://orcid.org/0000-0003-1156-7574, Smilovic, M. ORCID: https://orcid.org/0000-0001-9651-8821 & Zebrowski, P. ORCID: https://orcid.org/0000-0001-5283-8049 (2019). Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century. IIASA Working Paper. Laxenburg, Austria: WP-19-010

Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Bastin, J.-F., Mollicone, D., Tsendbazar, N.-E., Bastin, L., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Perger, Ch., Dürauer, M. & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2019). Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery. Surveys in Geophysics 40 (4), 839-862. 10.1007/s10712-019-09533-z.

Folberth, C. ORCID: https://orcid.org/0000-0002-6738-5238, Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Balkovic, J. ORCID: https://orcid.org/0000-0003-2955-4931, Skalsky, R. ORCID: https://orcid.org/0000-0002-0983-6897, Khabarov, N. ORCID: https://orcid.org/0000-0001-5372-4668 & Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769 (2019). Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning. Agricultural and Forest Meteorology 264, 1-15. 10.1016/j.agrformet.2018.09.021.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Khachay, M. & Pasynkov, M. (2019). Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan. In: Learning and Intelligent Optimization. Eds. Battiti, R., Brunato, M., Kotsireas, I. & Pardalos, P., pp. 427-432 Cham, Switzerland: Springer. ISBN 978-3-030-05347-5 10.1007/978-3-030-05348-2_35.

Folberth, C. ORCID: https://orcid.org/0000-0002-6738-5238, Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Balkovic, J. ORCID: https://orcid.org/0000-0003-2955-4931, Skalsky, R. ORCID: https://orcid.org/0000-0002-0983-6897, Khabarov, N. ORCID: https://orcid.org/0000-0001-5372-4668 & Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769 (2018). Supplementary Datasets S1 and S2 for the paper “Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning”.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Khachay, M. & Pasynkov, M. (2018). Application of fully convolutional neural networks to mapping industrial oil palm plantations. In: Analysis of Images, Social Networks and Texts. Eds. van der Aalst, W., Batagelj, V., Glavas, G., Ignatov, D., Khachay, M., Kuznetsov, S., Koltsova, O., Lomazova, I., Loukachevitch, N., Napoli, A. et al., pp. 145-158 Switzerland: Springer. ISBN 978-3-030-11027-7 10.1007/978-3-030-11027-7_16.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 (2017). On a density property of weakly absolutely continuous measures. General case. Izvestiya Instituta Matematiki i Informatiki 2 (50), 3-12.

Chentsov, A., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 & Savenkov, I. (2017). On Control Problem with Constraints of Asymptotic Character. In: 8th International Conference on Physics and Control (PhysCon 2017). International Physics and Control Society (IPACS).

Subkhankulova, D., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 & McCollum, D. (2017). Demand Side Management: A Case for Disruptive Behaviour. In: Advanced Computational Methods for Knowledge Engineering. Eds. Le, Nguyen-Thinh, van Do, Tien, Nguyen, Ngoc Thanh & Thi, Hoai An Le, pp. 47-59 Cham, Switzerland: Springer International Publishing AG. ISBN 978-3-319-61911-8 10.1007/978-3-319-61911-8_5.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Chentsov, A. & Savenkov, I. (2017). On reachable sets for one-pulse controls under constraints of asymptotic character. Cybernetics and Physics 6 (4), 166-173.

Rekabsaz, N., Lupu, M., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Hanbury, A., Duer, A. & Anderson, L. (2017). 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. pp. 1712-1721 Vancouver, Canada: Association for Computational Linguistics. 10.18653/v1/P17-1157.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 (2016). Nash equilibria in reactive strategies. In: International conference in memory of Academician Arkady Kryazhimskiy, 3-8 October 2016, Ekaterinburg, Russia.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Khachay, M., Nurmukhametov, O. & See, L. ORCID: https://orcid.org/0000-0002-2665-7065 (2016). The Cropland Capture Game: good annotators versus vote aggregation methods. In: Advanced Computational Methods for Knowledge Engineering - Proceedings of the 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria. pp. 167-180 Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-38884-7 10.1007/978-3-319-38884-7_13.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Khachay, M., Nurmukhametov, O., Salk, C., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990 (2016). Improved Vote Aggregation Techniques for the Geo-Wiki Cropland Capture Crowdsourcing Game. In: European Geosciences Union (EGU) General Assembly 2016, 17–22 April 2016, Vienna, Austria.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 (2016). On density properties of weakly absolutely continuous measures. Modern Problems in Mathematics and its Applications 1662, 62-72.

Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Khachay, M., Nurmukhametov, O., Salk, C. & Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990 (2016). Votes Aggregation Techniques in Geo-Wiki Crowdsourcing Game: a Case Study. In: Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. pp. 50-60 Springer.

Nurmukhametov, O.R. & Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 (2016). A method for increasing the accuracy of image annotating in crowd-sourcing. Modern Problems in Mathematics and its Applications 1662, 206-214.

Chentsov, A.G. & Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 (2015). On the question of construction of an attraction set under constraints of asymptotic nature. Proceedings of the Steklov Institute of Mathematics 291 (S1), 40-55. 10.1134/S0081543815090035.

Nurmukhametov, O., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Khachay, M., Salk, C., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990 (2015). How to Increase the Accuracy of Crowdsourcing Campaigns? In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.

Chentsov, A.G. & Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 (2015). On an asymptotic analysis problem related to the construction of an attainability domain. Proceedings of the Steklov Institute of Mathematics 291 (1), 279-298. 10.1134/S0081543815080222.

Chentsov, A.G. & Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 (2015). On an asymptotic analysis problem related to the construction of an attainability domain. Proceedings of the Steklov Institute of Mathematics 291, 292-311. DOI: 10.1134/S0371968515040226.

Chentsov, A.G. & Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618 (2014). A problem related to asymptotic attainability in the mean. Doklady Mathematics 90 (3), 762-765. 10.1134/S1064562414070333.