Mehmet Can Yavuz

Orcid: 0000-0003-1677-9496

According to our database1, Mehmet Can Yavuz authored at least 14 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography.
Medical Image Anal., 2024

Policy Gradient-Driven Noise Mask.
CoRR, 2024

Self-Supervised Variational Contrastive Learning with Applications to Face Understanding.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023
Variational Self-Supervised Contrastive Learning Using Beta Divergence.
CoRR, 2023

2022
Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images.
Neurocomputing, 2022

VCL-PL: Semi-Supervised Learning from Noisy Web Data with Variational Contrastive Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches.
CoRR, 2021

Multilingual, Temporal and Sentimental Distant-Reading of City Events.
CoRR, 2021

YFCC-CelebA Face Attributes Datasets.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

Analyses of Dramatic Network Simulations by Using Markov Chains.
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

2020
Analyses of Characters in Dramatic Works by Using Document Embeddings.
DHandNLP@PROPOR, 2020

Analyses of Character Emotions in Dramatic Works by Using EmoLex Unigrams.
Proceedings of the Seventh Italian Conference on Computational Linguistics, 2020

Analyses of Character Networks in Dramatic Works by Using Graphs.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019
Analyses of Literary Texts by Using Statistical Inference Methods.
Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019


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