Self-Organized Flocking with a Mobile Robot Swarm AE Turgut, H Celikkanat, F Gokce, E Sahin International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2008 | 412 | 2008 |
Steering self-organized robot flocks through externally guided individuals H Celikkanat, E Şahin Neural Computing and Applications 19, 849-865, 2010 | 113 | 2010 |
Kobot: A mobile robot designed specifically for swarm robotics research AE Turgut, F Gokce, H Celikkanat, L Bayindir, E Sahin Middle East Technical University, Ankara, Turkey, METU-CENG-TR Tech. Rep 5 …, 2007 | 52 | 2007 |
Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills E Ugur, Y Nagai, H Celikkanat, E Oztop Robotica 33 (5), 1163-1180, 2015 | 40 | 2015 |
Predicting prosodic prominence from text with pre-trained contextualized word representations A Talman, A Suni, H Celikkanat, S Kakouros, J Tiedemann, M Vainio arXiv preprint arXiv:1908.02262, 2019 | 34 | 2019 |
Learning context on a humanoid robot using incremental latent dirichlet allocation H Celikkanat, G Orhan, N Pugeault, F Guerin, E Şahin, S Kalkan IEEE Transactions on Cognitive and Developmental Systems 8 (1), 42-59, 2015 | 30 | 2015 |
A probabilistic concept web on a humanoid robot H Celikkanat, G Orhan, S Kalkan IEEE Transactions on Autonomous Mental Development, 2014 | 28 | 2014 |
Modeling phase transition in self-organized mobile robot flocks AE Turgut, C Huepe, H Çelikkanat, F Gökçe, E Şahin International Conference on Ant Colony Optimization and Swarm Intelligence …, 2008 | 23 | 2008 |
Learning to grasp with parental scaffolding E Ugur, H Celikkanat, E Şahin, Y Nagai, E Oztop 2011 11th IEEE-RAS International Conference on Humanoid Robots, 480-486, 2011 | 17 | 2011 |
Guiding a robot flock via informed robots H Celikkanat, AE Turgut, E Şahin Distributed autonomous robotic systems 8, 215-225, 2009 | 17 | 2009 |
Are multilingual neural machine translation models better at capturing linguistic features? D Mareček, H Celikkanat, M Silfverberg, V Ravishankar, J Tiedemann The Prague Bulletin of Mathematical Linguistics, 143-162, 2020 | 13 | 2020 |
A deep incremental boltzmann machine for modeling context in robots FI Doğan, H Celikkanat, S Kalkan 2018 IEEE International Conference on Robotics and Automation (ICRA), 2411-2416, 2018 | 12 | 2018 |
Learning and Using Context on a Humanoid Robot Using Latent Dirichlet Allocation H Celikkanat, G Orhan, N Pugeault, F Guerin, E Sahin, S Kalkan IEEE ICDL-Epirob 2014, 2014 | 12 | 2014 |
Optimization of self-organized flocking of a robot swarm via evolutionary strategies H Celikkanat Computer and Information Sciences, 2008. ISCIS'08. 23rd International …, 2008 | 9 | 2008 |
Controlling the imprint of passivization and negation in contextualized representations H Celikkanat, S Virpioja, J Tiedemann, M Apidianaki Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …, 2020 | 7 | 2020 |
Decoding emotional valence from electroencephalographic rhythmic activity H Celikkanat, H Moriya, T Ogawa, JP Kauppi, M Kawanabe, A Hyvärinen International Conference of the IEEE Engineering in Medicine and Biology …, 2017 | 7 | 2017 |
Uncertainty-aware natural language inference with stochastic weight averaging A Talman, H Celikkanat, S Virpioja, M Heinonen, J Tiedemann arXiv preprint arXiv:2304.04726, 2023 | 6 | 2023 |
A closer look at parameter contributions when training neural language and translation models R Vázquez, H Celikkanat, V Ravishankar, M Creutz, J Tiedemann International Conference on Computational Linguistics, 4788-4800, 2022 | 6 | 2022 |
Integrating spatial concepts into a probabilistic concept web H Celikkanat, E Şahin, S Kalkan 2015 International Conference on Advanced Robotics (ICAR), 259-264, 2015 | 5 | 2015 |
On the differences between BERT and MT encoder spaces and how to address them in translation tasks R Vázquez, H Celikkanat, M Creutz, J Tiedemann Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 4 | 2021 |