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prof. Ing. Peter Drotár, PhD.

peter.drotar@tuke.sk

PK6: 011-1

prof. Ing. Peter Drotár, PhD.

peter.drotar@tuke.sk

PK6: 011-1

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Peter Drotár received M.Sc. and Ph.D. degrees in electronics from Technical University of Kosice, Slovakia in 2007 and 2010, respectively. From 2010 to 2012, he was with Honeywell International, Advanced Technology Europe as Scientist for Communication and Surveillance systems. From 2012 to 2015, he was with SIX research centre, Brno University of Technology as postdoctoral research assistant. He acted as a visiting researcher at University of Southern California, LA, USA, Ramon Llull University in Barcelona, ESP and Hamburg University of Technology, Hamburg-Harburg, GER. Currently, he is Associate Professor at the Department of Computers and Informatics, Technical University of Kosice.

Research interests:
  • Machine learning for handwriting and speech analysis
  • Bankruptcy prediction, decision support for digital business
  • Feature selection for big data
Projects:
Publications:

2026

S. Hreško, M. Hireš, J. Staš, P. Drotár

A hierarchical coarse-to-fine whisper adaptation framework for ALS dysarthria severity estimation

Journal: 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

M. Dopiriak, M. Imrich, P. Drotár, L. Vokorokos, P. Mésároš, J. Gazda

Multi-Modal Radiance Fields in Robotics: A Survey

Journal: IEEE 13th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems

B. Setlák, P. Drotár, M. Gazda

Utilization of diffusion models for noise reduction in ultrasound images

Journal: 2025 Fourteenth International Conference on Image Processing, Theory, Tools and Applications.

2025

P. Gnip, P. Drotár, R. Kanász, M. Zoričák

A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction

Journal: 2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics Cifer 2025.

P. Gnip, R. Kanász, M. Zoričák, P. Drotár

An experimental survey of imbalanced learning algorithms for bankruptcy prediction

Journal: Artificial Intelligence Review

M. Hireš, P. Drotár

Augmented speech generalization in parkinson's disease detection

Journal: 2025 IEEE 38th International Symposium on Computer-Based Medical Systems.

J. Gazda, P. Drotár, M. Hireš, S. Dražilová, M. Janičko, P. Jarčuška

Diagnostic potential of speech artificial intelligence analysis in minimal hepatic encephalopathy

Journal: Journal of Hepatology.

M. Gazda, J. Gazda, S. Kadoury, R. Kanász, P. Drotár

Echogan: extending the field of view in transthoracic echocardiography through conditional gan-based outpainting

Journal: Computer methods and programs in biomedicine.

D. J. Hreško, P. Drotár, Q. C. Ngo, D. Kumar

Enhanced domain adaptation for foot ulcer segmentation through mixing self-trained weak labels

Journal: Journal of Imaging Informatics in Medicine.

P. Drotár, M. Hireš, P. Mésároš, J. Gazda, L. Vokorokos

Evaluating Dysgraphia Level Using Handwriting Dynamics

Journal: IEEE 12th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems

K. Demčáková, P. Drotár, M. Hireš, J. Gazda, P. Jarčuška

Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features

Journal: 2025 IEEE 38th International Symposium on Computer-Based Medical Systems.

P. Mésároš, M. Grazianová, A. Hrubovčáková, K. Krajníková, P. Drotár, P. Gnip

Leveraging large language models for cultural heritage digitization: a textual analysis of historical buildings

Journal: IEEE 31st ICE IEEE/ITMC Conference on Engineering, Technology, and Innovation ICE 2025

J. Gazda, J. C. Garcia-pagan, S. Dražilová, P. Drotár, M. Hireš, M. Gazda, M. Janičko, A. Baiges, P. Jarčuška

Prospective evaluation of speech as a digital biomarker for covert hepatic encephalopathy.

Journal: npj Digital Medicine.

2024

D. J. Hreško, Q. C. Ngo, R. Ogrin, P. Drotár, E. Ekinci, A. N. Tint, D. K. Kumar

Application of stylegan architecture for generating venous leg ulcer images

Journal: 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023).

D. J. Hreško, P. Drotár

BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation

Journal: IEEE Open Journal of Engineering in Medicine and Biology.

R. Kanász, P. Drotár, P. Gnip, M. Zoričák

Clash of titans on imbalanced data: TabNet vs XGBoost

Journal: 2024 IEEE Conference on Artificial Intelligence.

M. Gazda, P. Drotár, L. V. Romaguera, S. Kadoury

End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction

Journal: 2023 IEEE 20th International Symposium on Biomedical Imaging.

2023

R. Kanász, P. Gnip, M. Zoričák, P. Drotár

Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm

Journal: PeerJ. Computer science.

Q. C. Ngo, M. A. Motin, N. D. Pah, P. Drotár, P. Kempster, D. Kumar

Computerized analysis of speech and voice for parkinson's disease: a systematic review

Journal: Computer Methods and Programs in Biomedicine

M. Gazda, M. Hireš, P. Drotár

Ensemble of convolutional neural networks for Parkinson’s disease diagnosis from offline handwriting

Journal: The 20th Conference of the International Graphonomics Society.

D. J. Hreško, M. Kurej, J. Gazda, P. Drotár

Ensembled autoencoder regularization for multi-structure segmentation for kidney cancer treatment

Journal: Lesion Segmentation in Surgical and Diagnostic Applications

P. Bugata, P. Drotár

Feature selection based on a sparse neural-network layer with normalizing constraints

Journal: IEEE Transactions on Cybernetics.

M. Hireš, P. Drotár, N. D. Pah, Q. C. Ngo, D. K. Kumar

On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice

Journal: International Journal of Medical Informatics

D. J. Hreško, J. Vereb, V. Krigovsky, M. Gayová, P. Drotár

Refined mixup augmentation for diabetic foot ulcer segmentation

Journal: Diabetic Foot Ulcers Grand Challenge

M. Hireš, M. Gazda, L. Vavrek, P. Drotár

Voice-specific augmentations for Parkinson’s disease detection using deep convolutional neural network

Journal: SAMI 2022