Research & Publications

Preprints

  • PDF Py J. Oldfield, Y. Panagakis, M. A. Nicolaou. Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes. arXiv:1904.04772, 2019.
  • PDF S. Moschoglou, S. Ploumpis, M. A. Nicolaou, A. Papaioannou, S. Zafeiriou. 3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation,and Translation. arXiv:1904.04772, 2019.

Journal Articles

Conference Articles

  • C. Ringer, M. A. Nicolaou. Streaming behaviour: Livestreaming as a paradigm for analysis of emotional and social signals. Proc. 8th International Conference on Affective Computing and Intelligent Interaction, Workshop on Emotions and Emergent States in Groups (EMERGent), 2019.
  • C. Ringer, J. A. Walker, M. A. Nicolaou. Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams. Proc. IEEE International Conference on Games (CoG), 2019.
  • H. Oroojeni, J. Oldfield, M. A. Nicolaou. Detecting Early Parkinson’s Disease from Keystroke Dynamics using the Tensor-Train Decomposition. Proc. European Signal Processing Conference (EUSIPCO), 2019.
  • PDF P. Tzirakis, M. A. Nicolaou, B. Schuller, S. Zafeiriou. Time-series Clustering with Jointly Learning Deep Representations, Clusters and Temporal Boundaries. Proceedings of the IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2019.
  • PDF S. Moschoglou, S. Ploumpis, M. A. Nicolaou, S. Zafeiriou. Multi-Attribute Probabilistic Linear Discriminant Analysis for 3D Facial Shapes. Proceedings of the 14th Asian Conference on Computer Vision (ACCV), 2018.
  • PDF A. Milne, K. Farrahi, M. A. Nicolaou. Less is More: Univariate Modelling to Detect Early Parkinson’s Disease from Keystroke Dynamics. Int’l Conf. on Discovery Science , Limassol, Cyprus, 2018.
  • PDF M. A. Nicolaou, C. Ringer. Streaming Behaviour: Live Streaming as a Paradigm for Multi-view Analysis of Emotional and Social Signals. Int’l Conf. on the Foundations of Digital Games , Twitch Workshop, Malmo, Sweden, 2018.
  • PDF C. Ringer, M. A. Nicolaou. Deep Unsupervised Muilti-View Detection of Video Game Stream Highlights. Int’l Conf. on the Foundations of Digital Games , Malmo, Sweden, 2018.
  • PDF H. Oroojeni, M. M. al Rifaie, M. A. Nicolaou. Deep Neuroevolution: Training Deep Neural Networks for False Alarm Detection in Intensive Care Units. 26th European Signal Processing Conference , Rome, Italy, 2018.
  • PDF A. Milne, M. A. Nicolaou, K. Farrahi. Discovering the Typing Behaviour of Parkinson’s Patients Using Topic Models. 9th International Conference on Social Informatics (SocInfo), Oxford, UK, 2017.
  • PDF S. Moschoglou, M. A. Nicolaou, Y. Panagakis, S. Zafeiriou. Initializing Probabilistic Linear Discriminant Analysis. 25th European Signal Processing Conference (EUSIPCO), Kos, Greece, 2017.
  • S. Zafeiriou, D. Kollias, M. A. Nicolaou, A. Papaioannou, G. Zhao, I. Kotsia. Aff-Wild: Valence and Arousal “in-the-wild” Challenge. IEEE Int’l Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Honolulu, 2017.
  • D. Kollias, M. A. Nicolaou, I. Kotsia, G. Zhao, S. Zafeiriou. Recognition of affect in the wild using deep neural networks. IEEE Int’l Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Honolulu, Hawaii, 2017.
  • PDF A. Fabris, M. A. Nicolaou, I. Kotsia, S. Zafeiriou. Dynamic Probabilistic Linear Discriminant Analysis for video classification. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, 2017.
  • S. Zafeiriou, A. Papaioannou, I. Kotsia, M. A. Nicolaou, G. Zhao. Facial Affect “in-the-wild”: A survey and a new database. IEEE Int’l Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Affect “in-the-wild” Workshop, Las Vegas, Nevada, 2016.
  • PDF Py G. Trigeorgis, M. A. Nicolaou, S. Zafeiriou, B. Schuller. Deep Canonical Time Warping. IEEE Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, 2016.
  • PDF Py G. Trigeorgis, P. Snape, M. A. Nicolaou, E. Antonakos, S. Zafeiriou. Mnemonic Descent Method. IEEE Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, 2016.
  • PDF G. Trigeorgis, F. Ringeval, R. Brueckner, E. Marchi, M. A. Nicolaou, B. Schuller, S. Zafeiriou. End-to- End Speech Emotion Recognition using a Deep Convolutional Recurrent Network. Proceedings of IEEE Int’l Conf. Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016.
  • G. Trigeorgis, M. A. Nicolaou, S. Zafeiriou, B. Schuller. Towards Deep Alignment of Multimodal Data. Neural Information Processing Systems (NIPS), Workshop on Multimodal Learning (MMML), Montreal, Canada, 2015.
  • PDF M. A. Nicolaou, S. Zafeiriou, M. Pantic. A Unified Framework for Probabilistic Component Analysis. European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’14), Nancy, France, 2014.
  • PDF M. A. Nicolaou, Y. Panagakis, S. Zafeiriou, M. Pantic. Robust Canonical Correlation Analysis: Audio-visual Fusion for Learning Continuous Interest. Proceedings of IEEE Int’l Conf. Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, 2014.
  • PDF M. A. Nicolaou, Y. Panagakis, S. Zafeiriou, M. Pantic. Correlated-Spaces Regression for Learning Continuous Emotion Dimensions. The 21st ACM International Conference on Multimedia (ACM MM), Barcelona, Spain, 2013.
  • PDF L. Zafeiriou, M. A. Nicolaou, S. Zafeiriou, S. Nikitidis, M. Pantic. Learning Slow Features for Behaviour Analysis. Proceedings of IEEE Int’l Conf. on Computer Vision (ICCV), Sydney, Australia, 2013.
  • PDF Y. Panagakis, M. A. Nicolaou, S. Zafeiriou, M. Pantic. Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences. Proc 26th IEEE Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Oregon, USA, 2013.
  • PDF M. A. Nicolaou, V. Pavlovic, M. Pantic. Dynamic Probabilistic CCA for Analysis of Affective Behaviour. Proceedings of the 12th European Conference on Computer Vision (ECCV), Florence, Italy, 2012.
  • M. A. Nicolaou, H. Gunes, M. Pantic. A Multi-layer Hybrid Framework for Dimensional Emotion Classification. Proceedings of the ACM Int’l Conf. on Multimedia (ACM MM), Scottsdale, USA, 2011.
  • M. A. Nicolaou, H. Gunes, M. Pantic. Designing Frameworks for Automatic Affect Prediction and Classification in Dimensional Space. Proceedings of IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR-W), Workshop on Gesture Recognition, Colorado Springs, USA, 2011.
  • PDF M. A. Nicolaou, H. Gunes, M. Pantic. Output-Associative RVM Regression for Dimensional and Continuous Emotion Prediction. Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG), Santa Barbara, California, 2011.
  • M. A. Nicolaou, H. Gunes, M. Pantic. Audio-visual Classification and Fusion of Spontaneous Affect Data in Likelihood Space. Proceedings of Int’l Conf. Pattern Recognition (ICPR), Istanbul, Turkey, 2010.
  • M. A. Nicolaou, H. Gunes, M. Pantic. Automatic Segmentation of Spontaneous Data using Dimensional Labels from Multiple Coders. Proceedings of LREC Int’l Workshop on Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality, Valletta, Malta, 2010.

Book Chapters

  • PDF O. Rudovic, M. A. Nicolaou, V. Pavlovic. Machine Learning Methods for Social Signal Processing. Social Signal Processing, A. Vinciarelli and J. Burgoon and N. Magnenat-Thalmann and M. Pantic (Eds), Cambridge University Press, 2014.
  • PDF H. Gunes, M. A. Nicolaou, M. Pantic. Continuous Analysis of Affect from Voice and Face. Computer Analysis of Human Behavior, A. Salah and T. Gevers (Eds), Springer-Verlag, 2011.

Thesis

  • M. A. Nicolaou. Machine Learning for Automatic Analysis of Affective Behaviour. PhD Thesis, Imperial College London, UK, 2014.
  • M. A. Nicolaou. Discrete and Continuous Audio-Visual Recognition of Spontaneous Emotions. MSc Thesis, Imperial College London, UK, 2009.
  • PDF M. A. Nicolaou. An XML Data Dissemination system using automata on top of Structured Overlay Networks. MSc Thesis, University of Athens, Greece, 2008.