Modeling Phase Transition in Self-organized Mobile Robot Flocks. - Ali Emre Turgut; Cristián Huepe; Hande Çelikkanat; Fatih Gökçe; Erol Sahin (ANTS Conference, 2008)

Self-organized flocking with a mobile robot swarm. - Ali Emre Turgut; Hande Çelikkanat; Fatih Gökçe; Erol Sahin (AAMAS (1), 2008)

Guiding a Robot Flock via Informed Robots. - Hande Çelikkanat; Ali Emre Turgut; Erol Sahin (DARS, 2008)

Self-organized flocking in mobile robot swarms. - Ali Emre Turgut; Hande Çelikkanat; Fatih Gökçe; Erol Sahin (Swarm Intell., 2008)

Steering self-organized robot flocks through externally guided individuals. - Hande Çelikkanat; Erol Sahin (Neural Comput. Appl., 2010)

Learning to grasp with parental scaffolding. - Emre Ugur; Hande Çelikkanat; Erol Sahin; Yukie Nagai; Erhan Öztop (Humanoids, 2011)

Learning and using context on a humanoid robot using latent dirichlet allocation. - Hande Çelikkanat; Güner Orhan; Nicolas Pugeault; Frank Guerin; Erol Sahin; Sinan Kalkan (ICDL-EPIROB, 2014)

Using slowness principle for feature selection: Relevant feature analysis. - Hande Çelikkanat; Sinan Kalkan (SIU, 2014)

Integrating spatial concepts into a probabilistic concept web. - Hande Çelikkanat; Erol Sahin; Sinan Kalkan (ICAR, 2015)

Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills. - Emre Ugur; Yukie Nagai; Hande Çelikkanat; Erhan Öztop (Robotica, 2015)

A Probabilistic Concept Web on a Humanoid Robot. - Hande Çelikkanat; Güner Orhan; Sinan Kalkan (IEEE Trans. Auton. Ment. Dev., 2015)

A grounded and contextualized web of concepts on a humanoid robot (İnsansı robotlar için temellendirilmiş ve bağlamsal bir kavram ağı) - Hande Çelikkanat (2015)

Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation. - Hande Çelikkanat; Güner Orhan; Nicolas Pugeault; Frank Guerin; Erol Sahin; Sinan Kalkan (IEEE Trans. Cogn. Dev. Syst., 2016)

Decoding emotional valence from electroencephalographic rhythmic activity. - Hande Çelikkanat; Hiroki Moriya; Takeshi Ogawa; Jukka-Pekka Kauppi; Motoaki Kawanabe; Aapo Hyvärinen (EMBC, 2017)

A Deep Incremental Boltzmann Machine for Modeling Context in Robots. - Fethiye Irmak Dogan; Hande Çelikkanat; Sinan Kalkan (ICRA, 2018)

Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. - Aarne Talman; Antti Suni; Hande Çelikkanat; Sofoklis Kakouros; Jörg Tiedemann; Martti Vainio (NODALIDA, 2019)

Controlling the Imprint of Passivization and Negation in Contextualized Representations. - Hande Çelikkanat; Sami Virpioja; Jörg Tiedemann; Marianna Apidianaki (BlackboxNLP@EMNLP, 2020)

Are Multilingual Neural Machine Translation Models Better at Capturing Linguistic Features? - David Marecek; Hande Çelikkanat; Miikka Silfverberg; Vinit Ravishankar; Jörg Tiedemann (Prague Bull. Math. Linguistics, 2020)

On the differences between BERT and MT encoder spaces and how to address them in translation tasks. - Raúl Vázquez; Hande Çelikkanat; Mathias Creutz; Jörg Tiedemann (ACL (student), 2021)

A Closer Look at Parameter Contributions When Training Neural Language and Translation Models. - Raúl Vázquez; Hande Çelikkanat; Vinit Ravishankar; Mathias Creutz; Jörg Tiedemann (COLING, 2022)

Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging. - Aarne Talman; Hande Çelikkanat; Sami Virpioja; Markus Heinonen; Jörg Tiedemann (NoDaLiDa, 2023)