Christos Koutlis
Orcid: 0000-0003-3682-408X
According to our database1,
Christos Koutlis
authored at least 36 papers
between 2015 and 2024.
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Bibliography
2024
VERITE: a Robust benchmark for multimodal misinformation detection accounting for unimodal bias.
Int. J. Multim. Inf. Retr., March, 2024
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems.
Inf. Fusion, 2024
CoRR, 2024
Similarity over Factuality: Are we making progress on multimodal out-of-context misinformation detection?
CoRR, 2024
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
Leveraging Representations from Intermediate Encoder-Blocks for Synthetic Image Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Int. J. Multim. Inf. Retr., June, 2023
VICTOR: Visual incompatibility detection with transformers and fashion-specific contrastive pre-training.
J. Vis. Commun. Image Represent., February, 2023
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning.
CoRR, 2023
CoRR, 2023
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations.
CoRR, 2023
Figments and Misalignments: A Framework for Fine-grained Crossmodal Misinformation Detection.
CoRR, 2023
Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation, 2023
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
2022
Multimodal Quasi-AutoRegression: forecasting the visual popularity of new fashion products.
Int. J. Multim. Inf. Retr., 2022
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022
Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022
2021
The Effect of a Hidden Source on the Estimation of Connectivity Networks from Multivariate Time Series.
Entropy, 2021
2020
LAVARNET: Neural network modeling of causal variable relationships for multivariate time series forecasting.
Appl. Soft Comput., 2020
2019
Identification of Hidden Sources by Estimating Instantaneous Causality in High-Dimensional Biomedical Time Series.
Int. J. Neural Syst., 2019
Evaluation of Granger Causality Measures for Constructing Networks from Multivariate Time Series.
Entropy, 2019
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
2017
Dynamics of Epileptiform Discharges Induced by Transcranial Magnetic Stimulation in Genetic Generalized Epilepsy.
Int. J. Neural Syst., 2017
2015
Transcranial Magnetic Stimulation Combined with EEG Reveals Covert States of Elevated Excitability in the Human Epileptic Brain.
Int. J. Neural Syst., 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015