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Journal Articles
- 2021
[j2]Artem Baklanov
:
Reactive Strategies: An Inch of Memory, a Mile of Equilibria. Games 12(2): 42 (2021)- 2014
- [j1]Yurii V. Averboukh, Artem Baklanov:
Stackelberg Solutions of Differential Games in the Class of Nonanticipative Strategies. Dyn. Games Appl. 4(1): 1-9 (2014)
Conference and Workshop Papers
- 2021
- [c9]Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin:
Achieving Proportionality up to the Maximin Item with Indivisible Goods. AAAI 2021: 5143-5150 - [c8]Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin:
PROPm Allocations of Indivisible Goods to Multiple Agents. IJCAI 2021: 24-30 - [c7]Natalya Goryunova, Artem Baklanov, Egor Ianovski:
A Noisy-Labels Approach to Detecting Uncompetitive Auctions. LOD 2021: 185-200 - 2018
- [c6]Artem Baklanov, Michael Yu. Khachay, Maxim Pasynkov:
Application of Fully Convolutional Neural Networks to Mapping Industrial Oil Palm Plantations. AIST 2018: 155-167 - [c5]Artem Baklanov, Michael Yu. Khachay, Maxim Pasynkov:
Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan. LION 2018: 427-432 - 2017
- [c4]Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Alexander Dür, Linda Andersson, Allan Hanbury:
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. ACL (1) 2017: 1712-1721 - [c3]Dina Subkhankulova, Artem Baklanov, David McCollum:
Demand Side Management: A Case for Disruptive Behaviour. ICCSAMA 2017: 47-59 - 2016
- [c2]Artem Baklanov, Steffen Fritz, Michael Yu. Khachay, Oleg Nurmukhametov, Carl F. Salk, Linda M. See, Dmitry Shchepashchenko:
Vote Aggregation Techniques in the Geo-Wiki Crowdsourcing Game: A Case Study. AIST 2016: 41-50 - [c1]Artem Baklanov, Steffen Fritz, Michael Yu. Khachay, Oleg Nurmukhametov, Linda M. See:
The Cropland Capture Game: Good Annotators Versus Vote Aggregation Methods. ICCSAMA 2016: 167-180
Informal and Other Publications
- 2021
- [i4]Natalya Goryunova, Artem Baklanov, Egor Ianovski:
Detecting corruption in single-bidder auctions via positive-unlabelled learning. CoRR abs/2102.05523 (2021) - [i3]Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin:
PROPm Allocations of Indivisible Goods to Multiple Agents. CoRR abs/2105.11348 (2021) - 2020
- [i2]Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin:
Achieving Proportionality up to the Maximin Item with Indivisible Goods. CoRR abs/2009.09508 (2020) - 2017
- [i1]Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Allan Hanbury, Alexander Dür, Linda Andersson:
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. CoRR abs/1702.01978 (2017)
Coauthor Index
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