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Large language models (LLMs), such as GPT series and Llama series have demonstrated strong capabilities in natural language processing, contextual understanding, and text generation.
Shakespearizing modern language using copy-enriched sequence to sequence models
H. Jhamtani, V. Gangal, E. Hovy, and E. Nyberg · 2017
Earlier work this paper cites.
Recognition of affect in the wild using deep neural networks
Dimitrios Kollias, Mihalis A Nicolaou, Irene Kotsia, Guoying Zhao, and Stefanos Zafeiriou · 2017
Earlier work this paper cites.
Aff-wild: Valence and arousal ‘in-the-wild’challenge
Stefanos Zafeiriou, Dimitrios Kollias, Mihalis A Nicolaou, Athanasios Papaioannou, Guoying Zhao, and Irene Kotsia · 2017
Earlier work this paper cites.
Deep neural architectures for prediction in healthcare
Dimitrios Kollias, Athanasios Tagaris, Andreas Stafylopatis, Stefanos Kollias, and Georgios Tagaris · 2018
Earlier work this paper cites.
Face behavior a la carte: Expressions, affect and action units in a single network
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2019
Earlier work this paper cites.
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, Björn Schuller, Irene Kotsia, and Stefanos Zafeiriou · 2019
Earlier work this paper cites.
Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
Dimitrios Kollias and Stefanos Zafeiriou · 2019
Earlier work this paper cites.
Deep transparent prediction through latent representation analysis
Dimitrios Kollias, N Bouas, Y Vlaxos, V Brillakis, M Seferis, Ilianna Kollia, Levon Sukissian, James Wingate, and S Kollias · 2020
Earlier work this paper cites.
Deep neural network augmentation: Generating faces for affect analysis
Dimitrios Kollias, Shiyang Cheng, Evangelos Ververas, Irene Kotsia, and Stefanos Zafeiriou · 2020
Earlier work this paper cites.
Analysing affective behavior in the first abaw 2020 competition
D Kollias, A Schulc, E Hajiyev, and S Zafeiriou · 2020
Earlier work this paper cites.
Transparent adaptation in deep medical image diagnosis
Dimitris Kollias, Y Vlaxos, M Seferis, Ilianna Kollia, Levon Sukissian, James Wingate, and Stefanos D Kollias · 2020
Earlier work this paper cites.
Distribution matching for heterogeneous multi-task learning: a large-scale face study
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2021
Earlier work this paper cites.
Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework
Dimitrios Kollias and Stefanos Zafeiriou · 2021
Earlier work this paper cites.
Analysing affective behavior in the second abaw2 competition
Dimitrios Kollias and Stefanos Zafeiriou · 2021
Earlier work this paper cites.
Text style transfer: A review and experimental evaluation
Z. Hu, R.K.-W. Lee, C.C. Aggarwal, and A. Zhang · 2022
Earlier work this paper cites.
Dimitrios Kollias · 2022
Earlier work this paper cites.
Mixaugment & mixup: Augmentation methods for facial expression recognition
Andreas Psaroudakis and Dimitrios Kollias · 2022
Earlier work this paper cites.
Medical image segmentation: A review of modern architectures
Natalia Salpea, Paraskevi Tzouveli, and Dimitrios Kollias · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E.H. Chi, Q.V. Le, and D. Zhou · 2022
Cited alongside, same era.
Data-driven covid-19 detection through medical imaging
Anastasios Arsenos, Andjoli Davidhi, Dimitrios Kollias, Panos Prassopoulos, and Stefanos Kollias · 2023
Cited alongside, same era.
Multi-label compound expression recognition: C-expr database & network
Dimitrios Kollias · 2023
Cited alongside, same era.
Ai-enabled analysis of 3-d ct scans for diagnosis of covid-19 & its severity
Dimitrios Kollias, Anastasios Arsenos, and Stefanos Kollias · 2023
Cited alongside, same era.
A deep neural architecture for harmonizing 3-d input data analysis and decision making in medical imaging
Bridging the gap: Protocol towards fair and consistent affect analysis
Guanyu Hu, Eleni Papadopoulou, Dimitrios Kollias, Paraskevi Tzouveli, Jie Wei, and Xinyu Yang · 2024
Closest in time.
Who wrote it and why? prompting large-language models for authorship verification
C.-Y. Hung, Z. Hu, Y. Hu, and R.K.-W. Lee · 2024
Closest in time.
Vasileios Karampinis, Anastasios Arsenos, Orfeas Filippopoulos, Evangelos Petrongonas, Christos Skliros, Dimitrios Kollias, Stefanos Kollias, and Athanasios Voulodimos · 2024
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Dimitrios Kollias, Anastasios Arsenos, and Stefanos Kollias · 2024
Closest in time.
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Dimitrios Kollias, Anastasios Arsenos, and Stefanos Kollias · 2023
Cited alongside, same era.
Facernet: a facial expression intensity estimation network
Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos, and Paraskeui Theofilou · 2023
Cited alongside, same era.
Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird, Alan Cowen, and Stefanos Zafeiriou · 2023
Cited alongside, same era.
Btdnet: A multi-modal approach for brain tumor radiogenomic classification
Dimitrios Kollias, Karanjot Vendal, Priyankaben Gadhavi, and Solomon Russom · 2023
Cited alongside, same era.
A survey of controllable text generation using transformer-based pre-trained language models
H. Zhang, H. Song, S. Li, M. Zhou, and D. Song · 2023
Cited alongside, same era.
Common corruptions for evaluating and enhancing robustness in air-to-air visual object detection
Anastasios Arsenos, Vasileios Karampinis, Evangelos Petrongonas, Christos Skliros, Dimitrios Kollias, Stefanos Kollias, and Athanasios Voulodimos · 2024
Cited alongside, same era.
Uncertainty-guided contrastive learning for single source domain generalisation
Anastasios Arsenos, Dimitrios Kollias, Evangelos Petrongonas, Christos Skliros, and Stefanos Kollias · 2024
Cited alongside, same era.
Dimitrios Kollias, Anastasios Arsenos, James Wingate, and Stefanos Kollias · 2024
Closest in time.
Behaviour4all: in-the-wild facial behaviour analysis toolkit
Dimitrios Kollias, Chunchang Shao, Odysseus Kaloidas, and Ioannis Patras · 2024
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Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2024
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The 6th affective behavior analysis in-the-wild (abaw) competition
Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen, Stefanos Zafeiriou, Chunchang Shao, and Guanyu Hu · 2024
Closest in time.
7th abaw competition: Multi-task learning and compound expression recognition
Dimitrios Kollias, Stefanos Zafeiriou, Irene Kotsia, Abhinav Dhall, Shreya Ghosh, Chunchang Shao, and Guanyu Hu · 2024
Closest in time.
Chatharuhi: Reviving anime character in reality via large language model
C. Li et al · 2024
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Delete, retrieve, generate: A simple approach to sentiment and style transfer
J. Li, R. Jia, H. He, and P. Liang · 2024
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Can machine learning assist in diagnosis of primary immune thrombocytopenia? a feasibility study
Haroon Miah, Dimitrios Kollias, Giacinto Luca Pedone, Drew Provan, and Frederick Chen · 2024
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A systematic survey of prompt engineering in large language models: Techniques and applications
P. Sahoo, A.K. Singh, S. Saha, V. Jain, S. Mondal, and A. Chadha · 2024
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Elon musk: A future worth getting excited about — tesla texas gigafactory interview — ted
TED · 2024
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Paraphrasing for style
W. Xu, A. Ritter, B. Dolan, R. Grishman, and C. Cherry · 2024
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Tree of thoughts: Deliberate problem solving with large language models
S. Yao, D. Yu, J. Zhao, I. Shafran, T.L. Griffiths, Y. Cao, and K. Narasimhan · 2024
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