| 1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits M Startsev, I Agtzidis, M Dorr Behavior Research Methods 51, 556-572, 2019 | 107 | 2019 |
| 360-degree video gaze behaviour: A ground-truth data set and a classification algorithm for eye movements I Agtzidis, M Startsev, M Dorr Proceedings of the 27th ACM international conference on multimedia, 1007-1015, 2019 | 64* | 2019 |
| Smooth pursuit detection based on multiple observers I Agtzidis, M Startsev, M Dorr Proceedings of the ninth biennial acm symposium on eye tracking research …, 2016 | 28 | 2016 |
| In the pursuit of (ground) truth: A hand-labelling tool for eye movements recorded during dynamic scene viewing I Agtzidis, M Startsev, M Dorr 2016 IEEE second workshop on eye tracking and visualization (ETVIS), 65-68, 2016 | 24 | 2016 |
| Free visual exploration of natural movies in schizophrenia JE Silberg, I Agtzidis, M Startsev, T Fasshauer, K Silling, A Sprenger, ... European archives of psychiatry and clinical neuroscience 269, 407-418, 2019 | 22 | 2019 |
| Following Forrest Gump: Smooth pursuit related brain activation during free movie viewing I Agtzidis, I Meyhöfer, M Dorr, R Lencer NeuroImage 216, 116491, 2020 | 18 | 2020 |
| Characterizing and automatically detecting smooth pursuit in a large-scale ground-truth data set of dynamic natural scenes M Startsev, I Agtzidis, M Dorr Journal of Vision 19 (14), 10-10, 2019 | 16 | 2019 |
| Smooth pursuit M Startsev, I Agtzidis, M Dorr オンライン]. Available: http://michaeldorr. de/smoothpursuit/.[アクセス日: 28 1 2020], 2016 | 15 | 2016 |
| From Gaussian blobs to naturalistic videos: Comparison of oculomotor behavior across different stimulus complexities A Goettker, I Agtzidis, DI Braun, M Dorr, KR Gegenfurtner Journal of vision 20 (8), 26-26, 2020 | 9 | 2020 |
| Two hours in Hollywood: A manually annotated ground truth data set of eye movements during movie clip watching I Agtzidis, M Startsev, M Dorr Journal of Eye Movement Research 13 (4), 2020 | 9 | 2020 |
| Manual & automatic detection of smooth pursuit in dynamic natural scenes M Startsev, I Agtzidis, M Dorr Proceedings of the European conference of eye movements, 2017 | 5 | 2017 |
| Sequence-to-sequence deep learning for eye movement classification M Startsev, I Agtzidis, M Dorr Perception 48, 200-200, 2019 | 4 | 2019 |
| HPC in a HEP lab: lessons learned from setting up cost-effective HPC clusters M Husejko, I Agtzidis, P Baehler, T Dul, J Evans, N Himyr, H Meinhard Journal of Physics: Conference Series 664 (9), 092012, 2015 | 3 | 2015 |
| Self-service for software development projects and HPC activities M Husejko, N Høimyr, A Gonzalez, G Koloventzos, D Asbury, A Trzcinska, ... Journal of Physics: Conference Series 513 (5), 052012, 2014 | 3 | 2014 |
| Getting (more) real: bringing eye movement classification to HMD experiments with equirectangular stimuli I Agtzidis, M Dorr Proceedings of the 11th ACM Symposium on Eye Tracking Research …, 2019 | 2 | 2019 |
| The attitudes of Greeks towards second-hand smoke and the anti-tobacco legislation A Passa, I Agtzidis, M Tsaousidou, KF Passa medRxiv, 2020.11. 26.20234666, 2020 | 1 | 2020 |
| Deep learning vs. manual annotation of eye movements M Startsev, I Agtzidis, M Dorr Proceedings of the 2018 ACM Symposium on Eye Tracking Research …, 2018 | 1 | 2018 |
| From Gaussian blobs to natural A Goettker, I Agtzidis, DI Braun, M Dorr, KR Gegenfurtner | | 2020 |
| From Gaussian Blobs to Natural Videos: Comparison of oculomotor behavior across different stimulus complexities A Goettker, I Agtzidis, DI Braun, M Dorr, KR Gegenfurtner | | 2020 |
| Towards a better understanding of eye movements in natural contexts I Agtzidis Technische Universität München, 2020 | | 2020 |
Michael DorrAdaptive Sensory TechnologyVerified email at tum.de
