Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space. - Mihalis A. Nicolaou; Hatice Gunes; Maja Pantic (ICPR, 2010)

Continuous Analysis of Affect from Voice and Face. - Hatice Gunes; Mihalis A. Nicolaou; Maja Pantic (Computer Analysis of Human Behavior, 2011)

Designing frameworks for automatic affect prediction and classification in dimensional space. - Mihalis A. Nicolaou; Hatice Gunes; Maja Pantic (CVPR Workshops, 2011)

A multi-layer hybrid framework for dimensional emotion classification. - Mihalis A. Nicolaou; Hatice Gunes; Maja Pantic (ACM Multimedia, 2011)

Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space. - Mihalis A. Nicolaou; Hatice Gunes; Maja Pantic (IEEE Trans. Affect. Comput., 2011)

Dynamic Probabilistic CCA for Analysis of Affective Behaviour. - Mihalis A. Nicolaou; Vladimir Pavlovic 001; Maja Pantic (ECCV (7), 2012)

Output-associative RVM regression for dimensional and continuous emotion prediction. - Mihalis A. Nicolaou; Hatice Gunes; Maja Pantic (Image Vis. Comput., 2012)

Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences. - Yannis Panagakis; Mihalis A. Nicolaou; Stefanos Zafeiriou; Maja Pantic (CVPR, 2013)

Learning Slow Features for Behaviour Analysis. - Lazaros Zafeiriou; Mihalis A. Nicolaou; Stefanos Zafeiriou; Symeon Nikitidis; Maja Pantic (ICCV, 2013)

Correlated-spaces regression for learning continuous emotion dimensions. - Mihalis A. Nicolaou; Stefanos Zafeiriou; Maja Pantic (ACM Multimedia, 2013)

Robust Canonical Correlation Analysis: Audio-visual fusion for learning continuous interest. - Mihalis A. Nicolaou; Yannis Panagakis; Stefanos Zafeiriou; Maja Pantic (ICASSP, 2014)

A Unified Framework for Probabilistic Component Analysis. - Mihalis A. Nicolaou; Stefanos Zafeiriou; Maja Pantic (ECML/PKDD (2), 2014)

Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations. - Mihalis A. Nicolaou; Vladimir Pavlovic 001; Maja Pantic (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Machine learning for automatic analysis of affective behaviour. - Mihalis Nicolaou (2014)

Deep Canonical Time Warping. - George Trigeorgis; Mihalis A. Nicolaou; Stefanos Zafeiriou; Björn W. Schuller (CVPR, 2016)

Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment. - George Trigeorgis; Patrick Snape; Mihalis A. Nicolaou; Epameinondas Antonakos; Stefanos Zafeiriou (CVPR, 2016)

Facial Affect "In-the-Wild": A Survey and a New Database. - Stefanos Zafeiriou; Athanasios Papaioannou; Irene Kotsia; Mihalis A. Nicolaou; Guoying Zhao 001 (CVPR Workshops, 2016)

Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network. - George Trigeorgis; Fabien Ringeval; Raymond Brueckner; Erik Marchi; Mihalis A. Nicolaou; Björn W. Schuller; Stefanos Zafeiriou (ICASSP, 2016)

Robust Correlated and Individual Component Analysis. - Yannis Panagakis; Mihalis A. Nicolaou; Stefanos Zafeiriou; Maja Pantic (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Probabilistic Slow Features for Behavior Analysis. - Lazaros Zafeiriou; Mihalis A. Nicolaou; Stefanos Zafeiriou; Symeon Nikitidis; Maja Pantic (IEEE Trans. Neural Networks Learn. Syst., 2016)

Machine Learning Methods for Social Signal Processing. - Ognjen Rudovic; Mihalis A. Nicolaou; Vladimir Pavlovic 001 (Social Signal Processing, 2017)

Recognition of Affect in the Wild Using Deep Neural Networks. - Dimitrios Kollias; Mihalis A. Nicolaou; Irene Kotsia; Guoying Zhao 001; Stefanos Zafeiriou (CVPR Workshops, 2017)

Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge. - Stefanos Zafeiriou; Dimitrios Kollias; Mihalis A. Nicolaou; Athanasios Papaioannou; Guoying Zhao 001; Irene Kotsia (CVPR Workshops, 2017)

Initializing probabilistic linear discriminant analysis. - Stylianos Moschoglou; Mihalis A. Nicolaou; Yannis Panagakis; Stefanos Zafeiriou (EUSIPCO, 2017)

Dynamic Probabilistic Linear Discriminant Analysis for video classification. - Alessandro Fabris; Mihalis A. Nicolaou; Irene Kotsia; Stefanos Zafeiriou (ICASSP, 2017)

Discovering the Typing Behaviour of Parkinson's Patients Using Topic Models. - Antony Milne; Mihalis Nicolaou; Katayoun Farrahi (SocInfo (2), 2017)

End-to-End Multimodal Emotion Recognition Using Deep Neural Networks. - Panagiotis Tzirakis; George Trigeorgis; Mihalis A. Nicolaou; Björn W. Schuller; Stefanos Zafeiriou (IEEE J. Sel. Top. Signal Process., 2017)

Multi-Attribute Probabilistic Linear Discriminant Analysis for 3D Facial Shapes. - Stylianos Moschoglou; Stylianos Ploumpis; Mihalis A. Nicolaou; Stefanos Zafeiriou (ACCV (3), 2018)

Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics. - Antony Milne; Katayoun Farrahi; Mihalis A. Nicolaou (DS, 2018)

Deep Neuroevolution: Training Deep Neural Networks for False Alarm Detection in Intensive Care Units. - Oroojeni M. J. Hooman; Mohammad Majid al-Rifaie; Mihalis A. Nicolaou (EUSIPCO, 2018)

Deep unsupervised multi-view detection of video game stream highlights. - Charles Ringer; Mihalis A. Nicolaou (FDG, 2018)

Multi-Attribute Robust Component Analysis for Facial UV Maps. - Stylianos Moschoglou; Evangelos Ververas; Yannis Panagakis; Mihalis A. Nicolaou; Stefanos Zafeiriou (IEEE J. Sel. Top. Signal Process., 2018)

Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences. - George Trigeorgis; Mihalis A. Nicolaou; Björn W. Schuller; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Streaming Behaviour: Livestreaming as a Paradigm for Analysis of Emotional and Social Signals. - Charles Ringer; Mihalis A. Nicolaou (ACII Workshops, 2019)

Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams. - Charles Ringer; James Alfred Walker; Mihalis A. Nicolaou (CoG, 2019)

Detecting Early Parkinson's Disease from Keystroke Dynamics using the Tensor-Train Decomposition. - Oroojeni M. J. Hooman; James Oldfield 001; Mihalis A. Nicolaou (EUSIPCO, 2019)

Time-series Clustering with Jointly Learning Deep Representations, Clusters and Temporal Boundaries. - Panagiotis Tzirakis; Mihalis A. Nicolaou; Björn W. Schuller; Stefanos Zafeiriou (FG, 2019)

Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. - Dimitrios Kollias; Panagiotis Tzirakis; Mihalis A. Nicolaou; Athanasios Papaioannou; Guoying Zhao 001; Björn W. Schuller; Irene Kotsia; Stefanos Zafeiriou (Int. J. Comput. Vis., 2019)

Editorial of Special Issue on Human Behaviour Analysis "In-the-Wild". - Mihalis A. Nicolaou; Stefanos Zafeiriou; Irene Kotsia; Guoying Zhao 001; Jeffrey F. Cohn (IEEE Trans. Affect. Comput., 2019)

TwitchChat: A Dataset for Exploring Livestream Chat. - Charles Ringer; Mihalis A. Nicolaou; James Alfred Walker (AIIDE, 2020)

Enhancing Facial Data Diversity with Style-based Face Aging. - Markos Georgopoulos; James Oldfield 001; Mihalis A. Nicolaou; Yannis Panagakis; Maja Pantic (CVPR Workshops, 2020)

Shared-Space Autoencoders with Randomized Skip Connections for Building Footprint Detection with Missing Views. - Giannis Ashiotis; James Oldfield 001; Charalambos Chrysostomou; Theodoros Christoudias; Mihalis A. Nicolaou (ICPR Workshops (7), 2020)

3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation. - Stylianos Moschoglou; Stylianos Ploumpis; Mihalis A. Nicolaou; Athanasios Papaioannou; Stefanos Zafeiriou (Int. J. Comput. Vis., 2020)

Tensor Component Analysis for Interpreting the Latent Space of GANs. - James Oldfield 001; Markos Georgopoulos; Yannis Panagakis; Mihalis A. Nicolaou; Ioannis Patras (BMVC, 2021)

Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks. - Charalambos Chrysostomou; Floris Alexandrou; Mihalis A. Nicolaou; Huseyin Seker (EMBC, 2021)

Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer. - Markos Georgopoulos; James Oldfield 001; Mihalis A. Nicolaou; Yannis Panagakis; Maja Pantic (Int. J. Comput. Vis., 2021)

Tensor Methods in Computer Vision and Deep Learning. - Yannis Panagakis; Jean Kossaifi; Grigorios G. Chrysos; James Oldfield 001; Mihalis A. Nicolaou; Anima Anandkumar; Stefanos Zafeiriou (Proc. IEEE, 2021)

Deep Learning on the Sphere for Multi-model Ensembling of Significant Wave Height. - Andrea Littardi; Anders Hildeman; Mihalis A. Nicolaou (ICASSP, 2022)

A Wavelet-based Approach for Multimodal Prediction of Alexithymia from Physiological Signals. - Valeria Filippou; Nikolas Theodosiou; Mihalis Nicolaou; Elena Constantinou; Georgia G. Panayiotou; Marios Theodorou (ICMI Companion, 2022)

Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT. - Christos Papadopoulos; Yannis Panagakis; Manolis Koubarakis; Mihalis Nicolaou (NAACL-HLT (Findings), 2022)

AI for Air Quality: Leveraging Data Fusion for Deep Downscaling of Atmospheric Pollutants. - Giannis Ashiotis; Evgenios Tsigkanos; Theodoros Christoudias; Mihalis A. Nicolaou (MACLEAN@PKDD/ECML, 2022)

Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models. - Nikos Kostagiolas; Mihalis Nicolaou; Yannis Panagakis (SETN, 2022)

Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes. - James Oldfield 001; Yannis Panagakis; Mihalis A. Nicolaou (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multimodal Prediction of Alexithymia from Physiological and Audio Signals. - Valeria Filippou; Mihalis A. Nicolaou; Nikolas Theodosiou; Georgia G. Panayiotou; Elena Constantinou; Marios Theodorou; Maria Panteli (ACIIW, 2023)

MMATR: A Lightweight Approach for Multimodal Sentiment Analysis Based on Tensor Methods. - Panagiotis Koromilas; Mihalis A. Nicolaou; Theodoros Giannakopoulos; Yannis Panagakis (ICASSP, 2023)

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs. - James Oldfield 001; Christos Tzelepis; Yannis Panagakis; Mihalis Nicolaou; Ioannis Patras (ICLR, 2023)

Parts of Speech-Grounded Subspaces in Vision-Language Models. - James Oldfield 001; Christos Tzelepis; Yannis Panagakis; Mihalis Nicolaou; Ioannis Patras (NeurIPS, 2023)

Toward Explainable and Transferable Deep Downscaling of Atmospheric Pollutants. - Giannis Ashiotis; Pantelis Georgiades; Theodoros Christoudias; Mihalis A. Nicolaou (IEEE Geosci. Remote. Sens. Lett., 2023)

Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis. - Theodoros Kouzelis; Emmanouil Plitsis; Mihalis Nicolaou; Yannis Panagakis (BMVC, 2024)

Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses. - Panagiotis Koromilas; Giorgos Bouritsas; Theodoros Giannakopoulos; Mihalis Nicolaou; Yannis Panagakis (ICML, 2024)

Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization. - James Oldfield 001; Markos Georgopoulos; Grigorios Chrysos 002; Christos Tzelepis; Yannis Panagakis; Mihalis Nicolaou; Jiankang Deng; Ioannis Patras (NeurIPS, 2024)

Locality-Preserving Directions for Interpreting the Latent Space of Satellite Image GANs. - Georgia Kourmouli; Nikos Kostagiolas; Mihalis A. Nicolaou; Yannis Panagakis (IEEE Geosci. Remote. Sens. Lett., 2024)

Bilinear Models of Parts and Appearances in Generative Adversarial Networks. - James Oldfield 001; Christos Tzelepis; Yannis Panagakis; Mihalis A. Nicolaou; Ioannis Patras (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders. - James Oldfield 001; Shawn Im; Yixuan Li; Mihalis A. Nicolaou; Ioannis Patras; Grigorios G. Chrysos (CoRR, 2025)

A Principled Framework for Multi-View Contrastive Learning. - Panagiotis Koromilas; Efthymios Georgiou; Giorgos Bouritsas; Theodoros Giannakopoulos; Mihalis A. Nicolaou; Yannis Panagakis (CoRR, 2025)