Christos Koutlis

Orcid: 0000-0003-3682-408X

According to our database1, Christos Koutlis authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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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

Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection.
CoRR, 2024

2023
MemeTector: enforcing deep focus for meme detection.
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

FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.
CoRR, 2023

RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection.
CoRR, 2023

FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning.
CoRR, 2023

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases.
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

Synthetic Misinformers: Generating and Combating Multimodal Misinformation.
Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation, 2023

MemeFier: Dual-stage Modality Fusion for Image Meme Classification.
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

Design-time Fashion Popularity Forecasting in VR Environments.
CoRR, 2022

InDistill: Transferring Knowledge From Pruned Intermediate Layers.
CoRR, 2022

Novel Paradigms of Human-Fashion Interaction.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models.
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
GAP: Geometric Aggregation of Popularity Metrics.
Inf., 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

Data-Driven Song Recognition Estimation Using Collective Memory Dynamics Models.
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

Causality networks from multivariate time series and application to epilepsy.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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