Mihalis A. Nicolaou

Orcid: 0000-0001-9175-477X

According to our database1, Mihalis A. Nicolaou authored at least 61 papers between 2010 and 2024.

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Bibliography

2024
Locality-Preserving Directions for Interpreting the Latent Space of Satellite Image GANs.
IEEE Geosci. Remote. Sens. Lett., 2024

Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization.
CoRR, 2024

Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Toward Explainable and Transferable Deep Downscaling of Atmospheric Pollutants.
IEEE Geosci. Remote. Sens. Lett., 2023

Parts of Speech-Grounded Subspaces in Vision-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MMATR: A Lightweight Approach for Multimodal Sentiment Analysis Based on Tensor Methods.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multimodal Prediction of Alexithymia from Physiological and Audio Signals.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

2022
Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes.
IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

AI for Air Quality: Leveraging Data Fusion for Deep Downscaling of Atmospheric Pollutants.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), 2022

Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Wavelet-based Approach for Multimodal Prediction of Alexithymia from Physiological Signals.
Proceedings of the International Conference on Multimodal Interaction, 2022

Deep Learning on the Sphere for Multi-model Ensembling of Significant Wave Height.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Tensor Methods in Computer Vision and Deep Learning.
Proc. IEEE, 2021

Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer.
Int. J. Comput. Vis., 2021

Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Tensor Component Analysis for Interpreting the Latent Space of GANs.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation.
Int. J. Comput. Vis., 2020

Shared-Space Autoencoders with Randomized Skip Connections for Building Footprint Detection with Missing Views.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Enhancing Facial Data Diversity with Style-based Face Aging.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

TwitchChat: A Dataset for Exploring Livestream Chat.
Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

2019
Editorial of Special Issue on Human Behaviour Analysis "In-the-Wild".
IEEE Trans. Affect. Comput., 2019

Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond.
Int. J. Comput. Vis., 2019

Time-series Clustering with Jointly Learning Deep Representations, Clusters and Temporal Boundaries.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Detecting Early Parkinson's Disease from Keystroke Dynamics using the Tensor-Train Decomposition.
Proceedings of the 27th European Signal Processing Conference, 2019

Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams.
Proceedings of the IEEE Conference on Games, 2019

Streaming Behaviour: Livestreaming as a Paradigm for Analysis of Emotional and Social Signals.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2018
Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Multi-Attribute Robust Component Analysis for Facial UV Maps.
IEEE J. Sel. Top. Signal Process., 2018

Deep unsupervised multi-view detection of video game stream highlights.
Proceedings of the 13th International Conference on the Foundations of Digital Games, 2018

Deep Neuroevolution: Training Deep Neural Networks for False Alarm Detection in Intensive Care Units.
Proceedings of the 26th European Signal Processing Conference, 2018

Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics.
Proceedings of the Discovery Science - 21st International Conference, 2018

Multi-Attribute Probabilistic Linear Discriminant Analysis for 3D Facial Shapes.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
End-to-End Multimodal Emotion Recognition Using Deep Neural Networks.
IEEE J. Sel. Top. Signal Process., 2017

Discovering the Typing Behaviour of Parkinson's Patients Using Topic Models.
Proceedings of the Social Informatics, 2017

Dynamic Probabilistic Linear Discriminant Analysis for video classification.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Initializing probabilistic linear discriminant analysis.
Proceedings of the 25th European Signal Processing Conference, 2017

Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Recognition of Affect in the Wild Using Deep Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Machine Learning Methods for Social Signal Processing.
Proceedings of the Social Signal Processing, 2017

2016
Probabilistic Slow Features for Behavior Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2016

Robust Correlated and Individual Component Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Facial Affect "In-the-Wild": A Survey and a New Database.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Canonical Time Warping.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Machine learning for automatic analysis of affective behaviour.
PhD thesis, 2014

Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

A Unified Framework for Probabilistic Component Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Robust Canonical Correlation Analysis: Audio-visual fusion for learning continuous interest.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Correlated-spaces regression for learning continuous emotion dimensions.
Proceedings of the ACM Multimedia Conference, 2013

Learning Slow Features for Behaviour Analysis.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Output-associative RVM regression for dimensional and continuous emotion prediction.
Image Vis. Comput., 2012

Dynamic Probabilistic CCA for Analysis of Affective Behaviour.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space.
IEEE Trans. Affect. Comput., 2011

A multi-layer hybrid framework for dimensional emotion classification.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Designing frameworks for automatic affect prediction and classification in dimensional space.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

Continuous Analysis of Affect from Voice and Face.
Proceedings of the Computer Analysis of Human Behavior., 2011

2010
Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space.
Proceedings of the 20th International Conference on Pattern Recognition, 2010


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