| Supervised contrastive learning for affect modelling K Pinitas, K Makantasis, A Liapis, GN Yannakakis Proceedings of the 2022 International Conference on Multimodal Interaction …, 2022 | 10 | 2022 |
| From the lab to the wild: Affect modeling via privileged information K Makantasis, K Pinitas, A Liapis, GN Yannakakis IEEE Transactions on Affective Computing, 2023 | 4 | 2023 |
| RankNEAT: outperforming stochastic gradient search in preference learning tasks K Pinitas, K Makantasis, A Liapis, GN Yannakakis Proceedings of the Genetic and Evolutionary Computation Conference, 1084-1092, 2022 | 4 | 2022 |
| Dendritic self-organizing maps for continual learning K Pinitas, S Chavlis, P Poirazi arXiv preprint arXiv:2110.13611, 2021 | 4 | 2021 |
| Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions K Pinitas, D Renaudie, M Thomsen, M Barthet, K Makantasis, A Liapis, ... Proceedings of the 25th International Conference on Multimodal Interaction …, 2023 | 2 | 2023 |
| The invariant ground truth of affect K Makantasis, K Pinitas, A Liapis, GN Yannakakis 2022 10th International Conference on Affective Computing and Intelligent …, 2022 | 2 | 2022 |
| Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation M Barthet, C Trivedi, K Pinitas, E Xylakis, K Makantasis, A Liapis, ... 2023 11th International Conference on Affective Computing and Intelligent …, 2023 | | 2023 |
