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Konstantina Nikolaidou
Konstantina Nikolaidou
PhD Candidate, EISLAB Machine Learning Group, Luleå University of Technology
Verified email at ltu.se
Title
Cited by
Cited by
Year
A Survey of Historical Document Image Datasets
K Nikolaidou, M Seuret, H Mokayed, M Liwicki
International Journal on Document Analysis and Recognition (IJDAR) 25 (4), 2022
272022
Detecting COVID-19 from Audio Recording of Coughs Using Random Forests and Support Vector Machines.
I Södergren, MP Nodeh, PC Chhipa, K Nikolaidou, G Kovács
Interspeech, 916-920, 2021
182021
Potential idiomatic expression (PIE)-english: Corpus for classes of idioms
TP Adewumi, R Vadoodi, A Tripathy, K Nikolaidou, F Liwicki, M Liwicki
arXiv preprint arXiv:2105.03280, 2021
132021
ICDAR 2021 competition on historical document classification
M Seuret, A Nicolaou, D Rodríguez-Salas, N Weichselbaumer, ...
International Conference on Document Analysis and Recognition, 618-634, 2021
122021
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
K Nikolaidou, G Retsinas, V Christlein, M Seuret, G Sfikas, EB Smith, ...
International Conference on Document Analysis and Recognition 14188, 384-401, 2023
52023
Beyond human forgeries: An investigation into detecting diffusion-generated handwriting
G Carrière, K Nikolaidou, F Kordon, M Mayr, M Seuret, V Christlein
International Conference on Document Analysis and Recognition, 5-19, 2023
12023
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
GG Pihlgren, K Nikolaidou, PC Chhipa, N Abid, R Saini, F Sandin, ...
arXiv preprint arXiv:2302.04032, 2023
12023
Investigating the Effect of Using Synthetic and Semi-synthetic Images for Historical Document Font Classification
K Nikolaidou, R Upadhyay, M Seuret, M Liwicki
International Workshop on Document Analysis Systems, 613-626, 2022
12022
How GANs assist in Covid-19 pandemic era: a review
YSSM Saleh, H Mokayed, K Nikolaidou, L Alkhaled, YC Hum
Multimedia Tools and Applications, 1-30, 2023
2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
G Grund Pihlgren, K Nikolaidou, PC Chhipa, N Abid, R Saini, F Sandin, ...
arXiv e-prints, arXiv: 2302.04032, 2023
2023
Enabling Deep Document Image Analysis with Generative Models
K Nikolaidou
Luleå University of Technology, 2023
2023
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