Conference2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
MembersA hierarchical coarse-to-fine whisper adaptation framework for ALS dysarthria severity estimation A strong linear baseline for whole-heart cardiac shape completion on CT, with an open eleven-structure statistical shape model Detection of Covert Hepatic Encephalopathy from Voice and Speech Us- ing Stability-Driven Feature Selection and XGBoost Grading of developmental dysgraphia severity in children: Multimodal dataset and classifier fusion Large-scale modality-invariant foundation models for brain mri analysis: application to lesion segmentation Multi-Modal Radiance Fields in Robotics: A Survey Utilization of diffusion models for noise reduction in ultrasound images A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction An experimental survey of imbalanced learning algorithms for bankruptcy prediction Augmented speech generalization in parkinson's disease detection Diagnostic potential of speech artificial intelligence analysis in minimal hepatic encephalopathy Echogan: extending the field of view in transthoracic echocardiography through conditional gan-based outpainting Enhanced domain adaptation for foot ulcer segmentation through mixing self-trained weak labels Evaluating Dysgraphia Level Using Handwriting Dynamics Leveraging large language models for cultural heritage digitization: a textual analysis of historical buildings Prospective evaluation of speech as a digital biomarker for covert hepatic encephalopathy. Application of stylegan architecture for generating venous leg ulcer images BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation Clash of titans on imbalanced data: TabNet vs XGBoost End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm Computerized analysis of speech and voice for parkinson's disease: a systematic review Ensemble of convolutional neural networks for Parkinson’s disease diagnosis from offline handwriting Ensembled autoencoder regularization for multi-structure segmentation for kidney cancer treatment Feature selection based on a sparse neural-network layer with normalizing constraints On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice Refined mixup augmentation for diabetic foot ulcer segmentation Voice-specific augmentations for Parkinson’s disease detection using deep convolutional neural network Convolutional neural network ensemble for parkinson's disease detection from voice recordings Mixup augmentation for kidney and kidney tumor segmentation Multiple-fine-tuned convolutional neural networks for parkinson’s disease diagnosis from offline handwriting
prof. Ing. Peter Drotár, PhD.
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
Publications
85 publications · 2008–2026
2026
7JournalIEEE Access
ConferenceInternational Vocal Biomarkers Conference
JournalIEEE Transactions on Cognitive and Developmental Systems.
Conference2026 IEEE 23rd International Symposium on Biomedical Imaging
ConferenceIEEE 13th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems
Conference2025 Fourteenth International Conference on Image Processing, Theory, Tools and Applications.
2025
10Conference2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics Cifer 2025.
JournalArtificial Intelligence Review
Conference2025 IEEE 38th International Symposium on Computer-Based Medical Systems.
JournalJournal of Hepatology.
JournalComputer methods and programs in biomedicine.
JournalJournal of Imaging Informatics in Medicine.
ConferenceIEEE 12th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems
Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
Conference2025 IEEE 38th International Symposium on Computer-Based Medical Systems.
ConferenceIEEE 31st ICE IEEE/ITMC Conference on Engineering, Technology, and Innovation ICE 2025
Journalnpj Digital Medicine.
2024
4Conference2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023).
JournalIEEE Open Journal of Engineering in Medicine and Biology.
Conference2024 IEEE Conference on Artificial Intelligence.
Conference2023 IEEE 20th International Symposium on Biomedical Imaging.
2023
8JournalPeerJ. Computer science.
JournalComputer Methods and Programs in Biomedicine
ConferenceThe 20th Conference of the International Graphonomics Society.
ConferenceLesion Segmentation in Surgical and Diagnostic Applications
JournalIEEE Transactions on Cybernetics.
JournalInternational Journal of Medical Informatics
ConferenceDiabetic Foot Ulcers Grand Challenge
ConferenceSAMI 2022
2022
3JournalComputers in Biology and Medicine
ConferenceKidney and Kidney Tumor Segmentation.
JournalIEEE Transactions on Systems, Man, and Cybernetics