| Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond D Kollias, P Tzirakis, MA Nicolaou, A Papaioannou, G Zhao, B Schuller, ... International Journal of Computer Vision 127 (6-7), 907-929, 2019 | 94 | 2019 |
| Aff-wild: Valence and arousal'in-the-wild'challenge S Zafeiriou, D Kollias, MA Nicolaou, A Papaioannou, G Zhao, I Kotsia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 86 | 2017 |
| Recognition of affect in the wild using deep neural networks D Kollias, MA Nicolaou, I Kotsia, G Zhao, S Zafeiriou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 60 | 2017 |
| Aff-wild2: Extending the aff-wild database for affect recognition D Kollias, S Zafeiriou arXiv preprint arXiv:1811.07770, 2018 | 50 | 2018 |
| Deep neural architectures for prediction in healthcare D Kollias, A Tagaris, A Stafylopatis, S Kollias, G Tagaris Complex & Intelligent Systems 4 (2), 119-131, 2018 | 47 | 2018 |
| Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface D Kollias, S Zafeiriou arXiv preprint arXiv:1910.04855, 2019 | 43 | 2019 |
| Analysing affective behavior in the first abaw 2020 competition D Kollias, A Schulc, E Hajiyev, S Zafeiriou arXiv preprint arXiv:2001.11409, 2020 | 34 | 2020 |
| A multi-task learning & generation framework: Valence-arousal, action units & primary expressions D Kollias, S Zafeiriou arXiv preprint arXiv:1811.07771, 2018 | 34 | 2018 |
| Adaptation and contextualization of deep neural network models D Kollias, M Yu, A Tagaris, G Leontidis, A Stafylopatis, S Kollias 2017 IEEE symposium series on computational intelligence (SSCI), 1-8, 2017 | 27 | 2017 |
| Training deep neural networks with different datasets in-the-wild: The emotion recognition paradigm D Kollias, S Zafeiriou 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 25 | 2018 |
| Generating faces for affect analysis D Kollias, S Cheng, E Ververas, I Kotsia, S Zafeiriou arXiv preprint arXiv:1811.05027 16, 2018 | 24* | 2018 |
| A multi-component CNN-RNN approach for dimensional emotion recognition in-the-wild D Kollias, S Zafeiriou arXiv preprint arXiv:1805.01452, 2018 | 22 | 2018 |
| On line emotion detection using retrainable deep neural networks D Kollias, A Tagaris, A Stafylopatis 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 22 | 2016 |
| Machine learning for neurodegenerative disorder diagnosis—survey of practices and launch of benchmark dataset A Tagaris, D Kollias, A Stafylopatis, G Tagaris, S Kollias International Journal on Artificial Intelligence Tools 27 (03), 1850011, 2018 | 21 | 2018 |
| Assessment of Parkinson’s disease based on deep neural networks A Tagaris, D Kollias, A Stafylopatis International Conference on Engineering Applications of Neural Networks, 391-403, 2017 | 21 | 2017 |
| Interweaving deep learning and semantic techniques for emotion analysis in human-machine interaction D Kollias, G Marandianos, A Raouzaiou, AG Stafylopatis 2015 10th International Workshop on Semantic and Social Media Adaptation and …, 2015 | 19 | 2015 |
| Exploiting multi-cnn features in cnn-rnn based dimensional emotion recognition on the omg in-the-wild dataset D Kollias, S Zafeiriou arXiv preprint arXiv:1910.01417, 2019 | 16 | 2019 |
| Photorealistic facial synthesis in the dimensional affect space D Kollias, S Cheng, M Pantic, S Zafeiriou Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018 | 12 | 2018 |
| Face behavior\a la carte: Expressions, affect and action units in a single network D Kollias, V Sharmanska, S Zafeiriou arXiv preprint arXiv:1910.11111, 2019 | 9 | 2019 |
| Deep Transparent Prediction through Latent Representation Analysis D Kollias, N Bouas, Y Vlaxos, V Brillakis, M Seferis, I Kollia, L Sukissian, ... arXiv preprint arXiv:2009.07044, 2020 | 2 | 2020 |
