Tensor-bAsed Machine learning towards genEral moDels of affect

Informazioni relative al progetto

TAMED

ID dell’accordo di sovvenzione: 101003397

DOI 10.3030/101003397

Progetto chiuso

Data della firma CE 9 Aprile 2020

Data di avvio 1 Luglio 2020

Data di completamento 30 Giugno 2022

Finanziato da

• SPREADING EXCELLENCE AND WIDENING PARTICIPATION

Costo totale € 160 049,28

Contributo UE € 160 049,28

Coordinato da

UNIVERSITA TA MALTA
Malta

Pubblicazioni

Conference proceedings (8)

AffRankNet+: Ranking Affect Using Privileged Information

Autori: Konstantinos Makantasis
Pubblicato in: Crossref, Numero 1, 2021, ISBN 978-1-6654-0021-3
Editore: IEEE
DOI: 10.1109/aciiw52867.2021.9666328

Privileged Information for Modeling Affect In The Wild

Autori: Konstantinos Makantasis, David Melhart, Antonios Liapis, Georgios N. Yannakakis
Pubblicato in: 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), 2021, ISBN 978-1-6654-0019-0
Editore: IEEE
DOI: 10.1109/acii52823.2021.9597417

Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery

Autori: Ioannis N. Tzortzis, Ioannis Rallis, Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
Pubblicato in: 29th IEEE International Conference on Image Processing (IEEE ICIP), 2022
Editore: IEEE
DOI: 10.48550/arxiv.2207.02163

RankNEAT: Outperforming Stochastic Gradient Search in Preference Learning Tasks

Autori: Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis
Pubblicato in: GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference, 2022
Editore: ACM
DOI: 10.48550/arxiv.2204.06901

Game State Learning via Game Scene Augmentation

Autori: Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis
Pubblicato in: Foundations of Digital Games, 2022
Editore: ACM
DOI: 10.48550/arxiv.2207.01289

Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification

Autori: Konstantinos Makantasis, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Bakalos, Nikolaos Doulamis
Pubblicato in: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, ISBN 978-1-7281-8808-9
Editore: IEEE
DOI: 10.1109/icpr48806.2021.9412482

Supervised Contrastive Learning for Affect Modelling

Autori: Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis
Pubblicato in: 2022
Editore: ACM
DOI: 10.48550/arxiv.2208.12238

Learning Task-Independent Game State Representations from Unlabeled Images

Autori: Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis, Georgios Yannakakis
Pubblicato in: IEEE Conference on Games, 2022
Editore: IEEE
DOI: 10.48550/arxiv.2206.06490

Peer reviewed articles (2)

Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification

Autori: Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios Doulamis, Nikolaos Doulamis
Pubblicato in: IEEE Access, 2021, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3072973

The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Games

Autori: Konstantinos Makantasis, Antonios Liapis, Georgios Yannakakis
Pubblicato in: IEEE Transactions on Affective Computing, 2021, ISSN 1949-3045
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/taffc.2021.3060877

Other (1)

Revisiting lp-constrained Softmax Loss: A Comprehensive Study

Autori: Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis
Pubblicato in: 2022
Editore: Arxiv
DOI: 10.48550/arxiv.2206.09616