| Learning in real-time search: A unifying framework V Bulitko, G Lee Journal of Artificial Intelligence Research 25, 119-157, 2006 | 159 | 2006 |
| Automated feature extraction for object recognition I Levner, V Bulitko, L Li, G Lee, R Greiner Proceedings of the Image and Vision Computing New Zealand conference, 309-313, 2003 | 24 | 2003 |
| Towards automated creation of image interpretation systems I Levner, V Bulitko, L Li, G Lee, R Greiner AI 2003: Advances in Artificial Intelligence: 16th Australian Conference on …, 2003 | 21 | 2003 |
| Automated Story Selection for Color Commentary in Sports G Lee, V Bulitko, E Ludvig IEEE, 2013 | 18 | 2013 |
| Sports commentary recommendation system (SCoReS): Machine learning for automated narrative G Lee, V Bulitko, E Ludvig Proceedings of the AAAI Conference on Artificial Intelligence and …, 2012 | 14 | 2012 |
| Adaptive image interpretation: A spectrum of machine learning problems V Bulitko, G Lee, I Levner, L Li, R Greiner Proceedings of the ICML Workshop on The Continuum from Labeled to Unlabeled …, 2003 | 14 | 2003 |
| Automated storytelling in sports: A rich domain to be explored G Lee, V Bulitko Interactive Storytelling: Third Joint Conference on Interactive Digital …, 2010 | 9 | 2010 |
| GAMM: genetic algorithms with meta-models for vision G Lee, V Bulitko Proceedings of the 2005 conference on Genetic and evolutionary computation …, 2005 | 7 | 2005 |
| Machine learning across charities G Lee, S Adunoor, M Hobbs Proceedings of the 17th Modeling Decision in Artificial Intelligence Conference, 2020 | 6 | 2020 |
| Evolutionary algorithms for operator selection in vision V Bulitko, G Lee, I Levner Proceedings of the Fifth International Workshop on Frontiers in Evolutionary …, 2003 | 6 | 2003 |
| Vision Issues for Space Teleoperation Assembly and Servicing (VISTAS): A Survey of Visual Requirements for Teleoperation by the FTS T Brooks, I Ince, G Lee STX Report No. STX/ROB/91-01, 1991 | 6 | 1991 |
| Machine learning the donor journey G Lee, AK Veera Raghavan, M Hobbs Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020 | 5 | 2020 |
| Automated selection of vision operator libraries with evolutionary algorithms G Lee, V Bulitko, I Levner Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 5 | 2004 |
| Deep learning the donor journey with convolutional and recurrent neural networks G Lee, AK Raghavan, M Hobbs Deep Learning Applications, Volume 3, 295-320, 2022 | 3 | 2022 |
| Improving the donor journey with convolutional and recurrent neural networks G Lee, AK Raghavan, M Hobbs 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 3 | 2020 |
| nLRTS: Improving distance vector routing in sensor networks G Lee, V Bulitko, I Nikolaidis Proceedings of the National Conference on Artificial Intelligence (AAAI …, 2006 | 3 | 2006 |
| Automated Action Set Selection in Markov Decision Processes G Lee | 3 | 2004 |
| Automated action set selection in Markov decision processes GT Lee | 3 | 2004 |
| Open challenges in learning vision systems V Bulitko, G Lee, I Levner, L Li NIPS-03 Workshop on the Open Challenges in Cognitive Vision, 2003 | 3 | 2003 |
| Learning Robust Object Recognition Strategies I Levner, V Bulitko, L Li, G Lee, R Greiner The 8th Australian and New Zealand Conference on Intelligent Information Systems, 2003 | 3 | 2003 |
Vadim BulitkoProfessor of Computing Science, University of AlbertaDirección de correo verificada de ualberta.ca
