Peter Drotár

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 32

Top Topics

Feature Selection

Top Venues

Comput. Biol. Medicine

Comput. Methods Programs Biomed.

PeerJ Comput. Sci.

Publications

Matej Gazda, Samuel Kadoury, Jakub Gazda, Peter Drotár
Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits. CoRR (2024)
Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury
End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction. CoRR (2023)
Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury
End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction. ISBI (2023)
David Jozef Hresko, Quoc Cuong Ngo, Rajna Ogrin, Peter Drotár, Elif Ekinci, Aye N. Tint, Dinesh K. Kumar
Application of StyleGAN Architecture for Generating Venous Leg Ulcer Images. EMBC (2023)
Peter Bugata, Peter Drotár
Feature Selection Based on a Sparse Neural-Network Layer With Normalizing Constraints. IEEE Trans. Cybern. 53 (1) (2023)
Máté Hires, Peter Drotár, Nemuel Daniel Pah, Quoc Cuong Ngo, Dinesh Kant Kumar
On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice. Int. J. Medical Informatics 179 (2023)
Róbert Kanász, Peter Gnip, Martin Zoricak, Peter Drotár
Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm. PeerJ Comput. Sci. 9 (2023)
David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár
Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment. CuRIOUS/KiPA/MELA@MICCAI (2022)
David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment. CoRR (2022)
David Jozef Hresko, Jakub Vereb, Valentin Krigovsky, Michala Gayova, Peter Drotár
Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation. DFUC@MICCAI (2022)
Matej Gazda, Máté Hires, Peter Drotár
Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting. IEEE Trans. Syst. Man Cybern. Syst. 52 (1) (2022)
Máté Hires, Matej Gazda, Peter Drotár, Nemuel Daniel Pah, Mohammod Abdul Motin, Dinesh Kant Kumar
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings. Comput. Biol. Medicine 141 (2022)
Zoltan Galaz, Peter Drotár, Jirí Mekyska, Matej Gazda, Jan Mucha, Vojtech Zvoncak, Zdenek Smékal, Marcos Faúndez-Zanuy, Reinel Castrillon, Juan Rafael Orozco-Arroyave, Steven Z. Rapcsak, Tamas Kincses, Lubos Brabenec, Irena Rektorová
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers Neuroinformatics 16 (2022)
Quoc Cuong Ngo, Mohammod Abdul Motin, Nemuel Daniel Pah, Peter Drotár, Peter Kempster, Dinesh K. Kumar
Computerized analysis of speech and voice for Parkinson's disease: A systematic review. Comput. Methods Programs Biomed. 226 (2022)
Peter Drotár, Jirí Mekyska, Zdenek Smékal, Irena Rektorová, Lucia Masarová, Marcos Faúndez-Zanuy
Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease. CoRR (2022)
Matej Gazda, Jakub Gazda, Ján Plávka, Peter Drotár
Self-supervised deep convolutional neural network for chest X-ray classification. CoRR (2021)
Peter Gnip, Liberios Vokorokos, Peter Drotár
Selective oversampling approach for strongly imbalanced data. PeerJ Comput. Sci. 7 (2021)
Matej Gazda, Peter Bugata, Jakub Gazda, David Hubacek, David Jozef Hresko, Peter Drotár
Mixup Augmentation for Kidney and Kidney Tumor Segmentation. KiTS@MICCAI (2021)
Matej Gazda, Ján Plávka, Jakub Gazda, Peter Drotár
Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification. IEEE Access 9 (2021)
Peter Bugata, Peter Drotár
On some aspects of minimum redundancy maximum relevance feature selection. Sci. China Inf. Sci. 63 (1) (2020)
Peter Bugata, Peter Drotár
Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints. CoRR (2020)
Peter Bugata, Peter Drotár
Weighted nearest neighbors feature selection. Knowl. Based Syst. 163 (2019)
Peter Gnip, Peter Drotár
Ensemble methods for strongly imbalanced data: bankruptcy prediction. SISY (2019)
Peter Bugata, Peter Drotár
Weighted k-nearest neighbors feature selection for high-dimensional multi-class data. SMC (2019)
Peter Drotár, Matej Gazda, Liberios Vokorokos
Ensemble feature selection using election methods and ranker clustering. Inf. Sci. 480 (2019)
Peter Bugata, Peter Gnip, Peter Drotár
Stability analysis of WkNN feature selection. SACI (2019)
Peter Drotár, Peter Gnip, Martin Zoricak, Vladimír Gazda
Single-Class Bankruptcy Prediction Based on the Data from Annual Reports. IDEAL (1) (2018)
Juraj Gazda, Gabriel Bugár, Marcel Volosin, Peter Drotár, Denis Horváth, Vladimír Gazda
Dynamic spectrum leasing and retail pricing using an experimental economy. Comput. Networks 121 (2017)
Juraj Gazda, Viliam Kovác, Peter Tóth, Peter Drotár, Vladimír Gazda
Tax optimization in an agent-based model of real-time spectrum secondary market. Telecommun. Syst. 64 (3) (2017)
Peter Drotár, Slavomír Simonák, Emília Pietriková, Martin Chovanec, Eva Chovancová, Norbert Ádám, Csaba Szabó, Anton Baláz, Miroslav Binas
Comparison of Filter Techniques for Two-Step Feature Selection. Comput. Informatics 36 (3) (2017)
Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. Artif. Intell. Medicine 67 (2016)
Marcel Volosin, Juraj Gazda, Peter Drotár, Gabriel Bugár, Vladimír Gazda
Spatial Real-Time Price Competition in the Dynamic Spectrum Access Markets. EUMAS/AT (2016)
Peter Drotár, Jirí Mekyska, Zdenek Smékal, Irena Rektorová, Lucia Masarová, Marcos Faúndez-Zanuy
Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease. MeMeA (2015)
Peter Drotár, Juraj Gazda, Zdenek Smékal
An experimental comparison of feature selection methods on two-class biomedical datasets. Comput. Biol. Medicine 66 (2015)
Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy
Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. Comput. Methods Programs Biomed. 117 (3) (2014)
Naveen Kumar, Maarten Van Segbroeck, Kartik Audhkhasi, Peter Drotár, Shrikanth S. Narayanan
Fusion of diverse denoising systems for robust automatic speech recognition. ICASSP (2014)
Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy
A new modality for quantitative evaluation of Parkinson's disease: In-air movement. BIBE (2013)
Peter Drotár, Juraj Gazda, Pavol Galajda, Dusan Kocur, Pavol Pavelka
Receiver technique for iterative estimation and cancellation of nonlinear distortion in MIMO SFBC-OFDM systems. IEEE Trans. Consumer Electron. 56 (2) (2010)