Kollias, Dimitrios; Tzirakis, Panagiotis; Nicolaou, Mihalis; Papaioannou, Athanasios; Zhao, Guoying; Schuller, Björn; Kotsia, Irene and Zafeiriou, Stefanos. 2019. Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. International Journal of Computer Vision, 127(6-7), pp. 907-929. ISSN 0920-5691 [Article]

Moschoglou, Stylianos; Ververas, Evangelos; Panagakis, Yannis; Nicolaou, Mihalis and Zafeiriou, Stefanos. 2018. Multi-Attribute Robust Component Analysis for Facial UV Maps. IEEE Journal of Selected Topics in Signal Processing, 12(6), 1324 -1337. ISSN 1932-4553 [Article]

Panagakis, Yannis; Nicolaou, Mihalis; Zafeiriou, Stefanos and Pantic, Maja. 2016. Robust Correlated and Individual Component Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(8), pp. 1665-1678. ISSN 0162-8828 [Article]

Trigeorgis, George; Ringeval, Fabien; Brueckner, Raymond; Marchi, Erik; Nicolaou, Mihalis; Schuller, Björn and Zafeiriou, Stefanos. 2016. Adieu Features? End-to-End Speech Emotion Recognition using a Deep Convolutional Recurrent Network. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 5200-5204. ISSN 2379-190X [Article]

Zafeiriou, Lazaros; Nicolaou, Mihalis; Zafeiriou, Stefanos; Nikitidis, Symeon and Pantic, Maja. 2016. Probabilistic Slow Features for Behavior Analysis. IEEE Transactions on Neural Networks and Learning Systems, 27(5), pp. 1034-1048. ISSN 2162-237X [Article]

Nicolaou, Mihalis; Zafeiriou, Stefanos and Pantic, Maja. 2014. A Unified Framework for Probabilistic Component Analysis. Proceedings of the European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’14), pp. 469-484. [Article]

Nicolaou, Mihalis; Pavlovic, Vladimir and Pantic, Maja. 2014. Dynamic Probabilistic CCA for Analysis of Affective Behaviour and Fusion of Continuous Annotations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(7), pp. 1299-1311. ISSN 0162-8828 [Article]

Nicolaou, Mihalis; Panagakis, Yannis; Zafeiriou, Stefanos and Pantic, Maja. 2014. Robust Canonical Correlation Analysis: Audio-visual Fusion for Learning Continuous Interest. Proceedings of IEEE Int’l Conf. Acoustics, Speech and Signal Processing (ICASSP 2014), [Article]

Rudovic, O.; Nicolaou, Mihalis and Pavlovic, V.. 2017. Machine Learning Methods for Social Signal Processing. In: Judee K. Burgoon; Nadia Magnenat-Thalmann; Maja Pantic and Alessandro Vinciarelli, eds. Social Signal Processing. Cambridge University Press, pp. 234-254. ISBN 9781316676202 [Book Section]

Milne, Antony; Farrahi, Katayoun and Nicolaou, Mihalis. 2018. 'Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics'. In: Discovery Science 2018, LNCS Proceedings. Limassol, Cyprus October 29-31, 2018. [Conference or Workshop Item]

Oroojeni, Hooman; Majid al-Rifaie, Mohammad and Nicolaou, Mihalis. 2018. 'Deep Neuroevolution: Training Deep Neural Networks for False Alarm Detection in Intensive Care Units'. In: 26th European Signal Processing Conference (EUSIPCO 2018). Rome, Italy. [Conference or Workshop Item]

Ringer, Charles and Nicolaou, Mihalis. 2018. 'Deep Unsupervised Multi-View Detection of Video Game Stream Highlights'. In: Foundations on Digital Games 2018. Malmo, Sweden 7-10 August 2018. [Conference or Workshop Item]

Nicolaou, Mihalis and Ringer, Charles. 2018. 'Streaming Behaviour: Live Streaming as a Paradigm for Multi-view Analysis of Emotional and Social Signals'. In: Foundations on Digital Games 2018, Twitch Workshop. Malmo, Sweden. [Conference or Workshop Item]

Fabris, Alessandro; Nicolaou, Mihalis; Kotsia, Irene and Zafeiriou, Stefanos. 2017. 'Dynamic Probabilistic Linear Discriminant Analysis For Video Classification'. In: Proceedings of IEEE Int'l Conf. Acoustics, Speech and Signal Processing (ICASSP). New Orleans, United States 5-9 Mar 2017. [Conference or Workshop Item]

George, Trigeorgis; Nicolaou, Mihalis; Zafeiriou, Stefanos and Schuller, Bjorn. 2016. 'Deep Canonical Time Warping'. In: Proceedings of IEEE International Conference on Computer Vision & Pattern Recognition (CVPR'16). Las Vegas, United States 27-30 June 2016. [Conference or Workshop Item]