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Kosmas Pinitas
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2020 – today
- 2024
- [j1]Konstantinos Makantasis, Kosmas Pinitas, Antonios Liapis, Georgios N. Yannakakis:
From the Lab to the Wild: Affect Modeling Via Privileged Information. IEEE Trans. Affect. Comput. 15(2): 380-392 (2024) - [i9]Matthew Barthet, Maria Kaselimi, Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
GameVibe: A Multimodal Affective Game Corpus. CoRR abs/2407.12787 (2024) - [i8]Kosmas Pinitas, Konstantinos Makantasis, Georgios N. Yannakakis:
Across-Game Engagement Modelling via Few-Shot Learning. CoRR abs/2409.13002 (2024) - 2023
- [c5]Matthew Barthet, Chintan Trivedi, Kosmas Pinitas, Emmanouil Xylakis, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation. ACIIW 2023: 1-8 - [c4]Kosmas Pinitas, David Renaudie, Mike Thomsen, Matthew Barthet, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions. ICMI 2023: 488-497 - [i7]Konstantinos Makantasis, Kosmas Pinitas, Antonios Liapis, Georgios N. Yannakakis:
From the Lab to the Wild: Affect Modeling via Privileged Information. CoRR abs/2305.10919 (2023) - [i6]Matthew Barthet, Chintan Trivedi, Kosmas Pinitas, Emmanouil Xylakis, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation. CoRR abs/2308.16029 (2023) - [i5]Kosmas Pinitas, David Renaudie, Mike Thomsen, Matthew Barthet, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions. CoRR abs/2310.06136 (2023) - 2022
- [c3]Konstantinos Makantasis, Kosmas Pinitas, Antonios Liapis, Georgios N. Yannakakis:
The Invariant Ground Truth of Affect. ACIIW 2022: 1-8 - [c2]Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
RankNEAT: outperforming stochastic gradient search in preference learning tasks. GECCO 2022: 1084-1092 - [c1]Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Supervised Contrastive Learning for Affect Modelling. ICMI 2022: 531-539 - [i4]Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
RankNEAT: Outperforming Stochastic Gradient Search in Preference Learning Tasks. CoRR abs/2204.06901 (2022) - [i3]Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Supervised Contrastive Learning for Affect Modelling. CoRR abs/2208.12238 (2022) - [i2]Konstantinos Makantasis, Kosmas Pinitas, Antonios Liapis, Georgios N. Yannakakis:
The Invariant Ground Truth of Affect. CoRR abs/2210.07630 (2022) - 2021
- [i1]Kosmas Pinitas, Spyridon Chavlis, Panayiota Poirazi:
Dendritic Self-Organizing Maps for Continual Learning. CoRR abs/2110.13611 (2021)
Coauthor Index
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