| Efficient crowdsourcing of unknown experts using bounded multi-armed bandits L Tran-Thanh, S Stein, A Rogers, NR Jennings Artificial Intelligence 214, 89-111, 2014 | 263 | 2014 |
| Knapsack based optimal policies for budget–limited multi–armed bandits L Tran-Thanh, A Chapman, A Rogers, N Jennings Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1134-1140, 2012 | 244 | 2012 |
| Efficient Thompson Sampling for Online Matrix-Factorization Recommendation J Kawale, HH Bui, B Kveton, L Tran-Thanh, S Chawla Advances in neural information processing systems 28, 2015 | 232 | 2015 |
| Epsilon–first policies for budget–limited multi-armed bandits L Tran-Thanh, A Chapman, EM De Cote, A Rogers, NR Jennings Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1211-1216, 2010 | 190 | 2010 |
| Deceiving cyber adversaries: A game theoretic approach A Schlenker, O Thakoor, H Xu, F Fang, M Tambe, L Tran-Thanh, ... AAMAS'18: Proceedings of the 17th International Conference on Autonomous …, 2018 | 140 | 2018 |
| Bounding the estimation error of sampling-based Shapley value approximation S Maleki, L Tran-Thanh, G Hines, T Rahwan, A Rogers arXiv preprint arXiv:1306.4265, 2013 | 129 | 2013 |
| Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks L Tran-Thanh, M Venanzi, A Rogers, NR Jennings AAMAS 2013, 901-908, 2013 | 121 | 2013 |
| Forecasting multi-appliance usage for smart home energy management NC Truong, J McInerney, L Tran-Thanh, E Costanza, SD Ramchurn IJCAI 2013, 2013 | 79 | 2013 |
| BudgetFix: Budget limited crowdsourcing for interdependent task allocation with quality guarantees L Tran-Thanh, TD Huynh, A Rosenfield, S Ramchurn, NR Jennings 13th International Conference on Autonomous Agents and Multi-Agent Systems, 2014 | 70 | 2014 |
| A machine learning approach for monitoring ship safety in extreme weather events A Rawson, M Brito, Z Sabeur, L Tran-Thanh Safety science 141, 105336, 2021 | 61 | 2021 |
| Class similarity weighted knowledge distillation for continual semantic segmentation MH Phan, SL Phung, L Tran-Thanh, A Bouzerdoum Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 55 | 2022 |
| Cost-effective external interference for promoting the evolution of cooperation TA Han, L Tran-Thanh Scientific reports 8 (1), 15997, 2018 | 50* | 2018 |
| Crowdsourcing complex workflows under budget constraints L Tran-Thanh, TD Huynh, A Rosenfeld, S Ramchurn, N Jennings Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 49 | 2015 |
| Playing repeated security games with no prior knowledge H Xu, L Tran-Thanh, N Jennings AAMAS'16: Proceedings of the 2016 International Conference on Autonomous …, 2016 | 44 | 2016 |
| Bounding the estimation error of sampling-based shapley value approximation with/without stratifying S Maleki, L Tran-Thanh, G Hines, T Rahwan, A Rogers CoRR, abs/1306.4265 2 (1), 2013 | 43 | 2013 |
| Imitative follower deception in stackelberg games J Gan, H Xu, Q Guo, L Tran-Thanh, Z Rabinovich, M Wooldridge Proceedings of the 2019 ACM Conference on Economics and Computation, 639-657, 2019 | 40 | 2019 |
| Efficient regret bounds for online bid optimisation in budget-limited sponsored search auctions L Tran-Thanh, L Stavrogiannis, V Naroditskiy, V Robu, NR Jennings, ... UAI 2014, 30th Conf. on Uncertainty in AI, 2014 | 39 | 2014 |
| Selfish mining in proof-of-work blockchain with multiple miners: An empirical evaluation T Leelavimolsilp, V Nguyen, S Stein, L Tran-Thanh PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd …, 2019 | 36* | 2019 |
| Coalitional security games Q Guo, B An, Y Vorobeychik, L Tran-Thanh, J Gan, C Miao Proceedings of the 2016 International Conference on Autonomous Agents …, 2016 | 35 | 2016 |
| DCOPs and bandits: Exploration and exploitation in decentralised coordination R Stranders, L Tran-Thanh, FM Delle Fave, A Rogers, N Jennings AAMAS 2012, 289-297, 2012 | 34 | 2012 |
Nick JenningsVice-Chancellor and President, Loughborough University確認したメール アドレス: lboro.ac.uk
