Receiver technique for iterative estimation and cancellation of nonlinear distortion in MIMO SFBC-OFDM systems. - Peter Drotár; Juraj Gazda; Pavol Galajda; Dusan Kocur; Pavol Pavelka (IEEE Trans. Consumer Electron., 2010)

A new modality for quantitative evaluation of Parkinson's disease: In-air movement. - Peter Drotár; Jirí Mekyska; Irena Rektorová; Lucia Masarová; Zdenek Smékal; Marcos Faúndez-Zanuy (BIBE, 2013)

Fusion of diverse denoising systems for robust automatic speech recognition. - Naveen Kumar 004; Maarten Van Segbroeck; Kartik Audhkhasi; Peter Drotár; Shrikanth S. Narayanan (ICASSP, 2014)

Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. - Peter Drotár; Jirí Mekyska; Irena Rektorová; Lucia Masarová; Zdenek Smékal; Marcos Faúndez-Zanuy (Comput. Methods Programs Biomed., 2014)

Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease. - Peter Drotár; Jirí Mekyska; Zdenek Smékal; Irena Rektorová; Lucia Masarová; Marcos Faúndez-Zanuy (MeMeA, 2015)

An experimental comparison of feature selection methods on two-class biomedical datasets. - Peter Drotár; Juraj Gazda; Zdenek Smékal (Comput. Biol. Medicine, 2015)

Spatial Real-Time Price Competition in the Dynamic Spectrum Access Markets. - Marcel Volosin; Juraj Gazda; Peter Drotár; Gabriel Bugár; Vladimír Gazda (EUMAS/AT, 2016)

Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. - Peter Drotár; Jirí Mekyska; Irena Rektorová; Lucia Masarová; Zdenek Smékal; Marcos Faúndez-Zanuy (Artif. Intell. Medicine, 2016)

Comparison of Filter Techniques for Two-Step Feature Selection. - Peter Drotár; Slavomír Simonák; Emília Pietriková; Martin Chovanec; Eva Chovancová; Norbert Ádám; Csaba Szabó; Anton Baláz; Miroslav Binas (Comput. Informatics, 2017)

Dynamic spectrum leasing and retail pricing using an experimental economy. - Juraj Gazda; Gabriel Bugár; Marcel Volosin; Peter Drotár; Denis Horváth; Vladimír Gazda (Comput. Networks, 2017)

Tax optimization in an agent-based model of real-time spectrum secondary market. - Juraj Gazda; Viliam Kovác; Peter Tóth; Peter Drotár; Vladimír Gazda (Telecommun. Syst., 2017)

Single-Class Bankruptcy Prediction Based on the Data from Annual Reports. - Peter Drotár; Peter Gnip; Martin Zoricak; Vladimír Gazda (IDEAL (1), 2018)

Stability analysis of WkNN feature selection. - Peter Bugata; Peter Gnip; Peter Drotár (SACI, 2019)

Ensemble methods for strongly imbalanced data: bankruptcy prediction. - Peter Gnip; Peter Drotár (SISY, 2019)

Weighted k-nearest neighbors feature selection for high-dimensional multi-class data. - Peter Bugata; Peter Drotár (SMC, 2019)

Ensemble feature selection using election methods and ranker clustering. - Peter Drotár; Matej Gazda; Liberios Vokorokos (Inf. Sci., 2019)

Weighted nearest neighbors feature selection. - Peter Bugata; Peter Drotár (Knowl. Based Syst., 2019)

On some aspects of minimum redundancy maximum relevance feature selection. - Peter Bugata; Peter Drotár (Sci. China Inf. Sci., 2020)

Mixup Augmentation for Kidney and Kidney Tumor Segmentation. - Matej Gazda; Peter Bugata; Jakub Gazda; David Hubacek; David Jozef Hresko; Peter Drotár (KiTS@MICCAI, 2021)

Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification. - Matej Gazda; Ján Plávka; Jakub Gazda; Peter Drotár (IEEE Access, 2021)

Selective oversampling approach for strongly imbalanced data. - Peter Gnip; Liberios Vokorokos; Peter Drotár (PeerJ Comput. Sci., 2021)

Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment. - David Jozef Hresko; Marek Kurej; Jakub Gazda; Peter Drotár (CuRIOUS/KiPA/MELA@MICCAI, 2022)

Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation. - David Jozef Hresko; Jakub Vereb; Valentin Krigovsky; Michala Gayova; Peter Drotár (DFUC@MICCAI, 2022)

Convolutional neural network ensemble for Parkinson's disease detection from voice recordings. - Máté Hires; Matej Gazda; Peter Drotár; Nemuel Daniel Pah; Mohammod Abdul Motin; Dinesh Kant Kumar (Comput. Biol. Medicine, 2022)

Computerized analysis of speech and voice for Parkinson's disease: A systematic review. - Quoc Cuong Ngo; Mohammod Abdul Motin; Nemuel Daniel Pah; Peter Drotár; Peter Kempster; Dinesh K. Kumar (Comput. Methods Programs Biomed., 2022)

Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. - 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; et al. (Frontiers Neuroinformatics, 2022)

Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting. - Matej Gazda; Máté Hires; Peter Drotár (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Application of StyleGAN Architecture for Generating Venous Leg Ulcer Images. - David Jozef Hresko; Quoc Cuong Ngo; Rajna Ogrin; Peter Drotár; Elif Ekinci; Aye N. Tint; Dinesh K. Kumar (EMBC, 2023)

End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction. - Matej Gazda; Peter Drotár; Liset Vázquez Romaguera; Samuel Kadoury (ISBI, 2023)

Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm. - Róbert Kanász; Peter Gnip; Martin Zoricak; Peter Drotár (PeerJ Comput. Sci., 2023)

Feature Selection Based on a Sparse Neural-Network Layer With Normalizing Constraints. - Peter Bugata; Peter Drotár (IEEE Trans. Cybern., 2023)

On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice. - Máté Hires; Peter Drotár; Nemuel Daniel Pah; Quoc Cuong Ngo; Dinesh Kant Kumar (Int. J. Medical Informatics, 2023)

Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits. - Matej Gazda; Samuel Kadoury; Jakub Gazda; Peter Drotár (CoRR, 2024)

Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features. - Katarína Demcáková; Peter Drotár; Máté Hires; Jakub Gazda; Peter Jarcuska (CBMS, 2025)

Augmented Speech Generalization in Parkinson's Disease Detection. - Máté Hires; Peter Drotár (CBMS, 2025)

A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction. - Peter Gnip; Peter Drotár; Róbert Kanász; Martin Zoricak (CIFEr, 2025)

echoGAN: Extending the field of view in Transthoracic Echocardiography through conditional GAN-based outpainting. - Matej Gazda; Jakub Gazda; Samuel Kadoury; Róbert Kanász; Peter Drotár (Comput. Methods Programs Biomed., 2025)

An experimental survey of imbalanced learning algorithms for bankruptcy prediction. - Peter Gnip; Róbert Kanász; Martin Zoricak; Peter Drotár (Artif. Intell. Rev., 2025)