Peter Drotár - RankMe

50 papers B 3C 1Misc 3Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Grading of Developmental Dysgraphia Severity in Children: Multimodal Dataset and Classifier Fusion. IEEE Trans. Cogn. Dev. Syst. Jayakanth Kunhoth, Moutaz Saleh, Somaya Al-Máadeed, Peter Drotár, Younes Akbari
2025	—	`conf`	A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction. CIFEr Peter Gnip, Peter Drotár, Róbert Kanász, Martin Zoricak
2025	J	`jnl`	An experimental survey of imbalanced learning algorithms for bankruptcy prediction. Artif. Intell. Rev. Peter Gnip, Róbert Kanász, Martin Zoricak, Peter Drotár
2025	B	`conf`	Augmented Speech Generalization in Parkinson's Disease Detection. CBMS Máté Hires, Peter Drotár
2025	J	`jnl`	Enhanced Domain Adaptation for Foot Ulcer Segmentation Through Mixing Self-Trained Weak Labels. J. Imaging Inform. Medicine David Jozef Hresko, Peter Drotár, Quoc Cuong Ngo, Dinesh Kant Kumar
2025	B	`conf`	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features. CBMS Katarína Demcáková, Peter Drotár, Máté Hires, Jakub Gazda, Peter Jarcuska
2025	J	`jnl`	Large-scale modality-invariant foundation models for brain MRI analysis: Application to lesion segmentation. CoRR Petros Koutsouvelis, Matej Gazda, Leroy Volmer, Sina Amirrajab, Kamil Barbierik, Branislav Setlák, Jakub Gazda, Peter Drotár
2025	J	`jnl`	Prospective evaluation of speech as a digital biomarker for covert hepatic encephalopathy. npj Digit. Medicine Jakub Gazda, Juan Carlos García-Pagan, Sylvia Drazilova, Peter Drotár, Máté Hires, Matej Gazda, Martin Janicko, Anna Baiges, Peter Jarcuska
2025	—	`conf`	Utilization of Diffusion Models for Noise Reduction in Ultrasound Images. IPTA Branislav Setlák, Peter Drotár, Matej Gazda
2025	J	`jnl`	echoGAN: Extending the field of view in Transthoracic Echocardiography through conditional GAN-based outpainting. Comput. Methods Programs Biomed. Matej Gazda, Jakub Gazda, Samuel Kadoury, Róbert Kanász, Peter Drotár
2024	—	`conf`	Clash of titans on imbalanced data: TabNet vs XGBoost. CAI Róbert Kanász, Peter Drotár, Peter Gnip, Martin Zoricak
2024	J	`jnl`	Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. CoRR Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy
2024	J	`jnl`	Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits. CoRR Matej Gazda, Samuel Kadoury, Jakub Gazda, Peter Drotár
2023	—	`conf`	Application of StyleGAN Architecture for Generating Venous Leg Ulcer Images. EMBC David Jozef Hresko, Quoc Cuong Ngo, Rajna Ogrin, Peter Drotár, Elif Ekinci, Aye N. Tint, Dinesh K. Kumar
2023	J	`jnl`	Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm. PeerJ Comput. Sci. Róbert Kanász, Peter Gnip, Martin Zoricak, Peter Drotár
2023	—	`conf`	End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction. ISBI Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury
2023	J	`jnl`	End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction. CoRR Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury
2023	J	`jnl`	Feature Selection Based on a Sparse Neural-Network Layer With Normalizing Constraints. IEEE Trans. Cybern. Peter Bugata, Peter Drotár
2023	J	`jnl`	On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice. Int. J. Medical Informatics Máté Hires, Peter Drotár, Nemuel Daniel Pah, Quoc Cuong Ngo, Dinesh Kant Kumar
2022	J	`jnl`	Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers Neuroinformatics 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
2022	J	`jnl`	Computerized analysis of speech and voice for Parkinson's disease: A systematic review. Comput. Methods Programs Biomed. Quoc Cuong Ngo, Mohammod Abdul Motin, Nemuel Daniel Pah, Peter Drotár, Peter Kempster, Dinesh K. Kumar
2022	J	`jnl`	Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease. CoRR Peter Drotár, Jirí Mekyska, Zdenek Smékal, Irena Rektorová, Lucia Masarová, Marcos Faúndez-Zanuy
2022	J	`jnl`	Convolutional neural network ensemble for Parkinson's disease detection from voice recordings. Comput. Biol. Medicine Máté Hires, Matej Gazda, Peter Drotár, Nemuel Daniel Pah, Mohammod Abdul Motin, Dinesh Kant Kumar
2022	J	`jnl`	Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment. CoRR David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár
2022	—	`conf`	Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment. CuRIOUS/KiPA/MELA@MICCAI David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár
2022	J	`jnl`	Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting. IEEE Trans. Syst. Man Cybern. Syst. Matej Gazda, Máté Hires, Peter Drotár
2022	—	`conf`	Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation. DFUC@MICCAI David Jozef Hresko, Jakub Vereb, Valentin Krigovsky, Michala Gayova, Peter Drotár
2021	—	`conf`	Mixup Augmentation for Kidney and Kidney Tumor Segmentation. KiTS@MICCAI Matej Gazda, Peter Bugata, Jakub Gazda, David Hubacek, David Jozef Hresko, Peter Drotár
2021	J	`jnl`	Selective oversampling approach for strongly imbalanced data. PeerJ Comput. Sci. Peter Gnip, Liberios Vokorokos, Peter Drotár
2021	J	`jnl`	Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification. IEEE Access Matej Gazda, Ján Plávka, Jakub Gazda, Peter Drotár
2021	J	`jnl`	Self-supervised deep convolutional neural network for chest X-ray classification. CoRR Matej Gazda, Jakub Gazda, Ján Plávka, Peter Drotár
2020	J	`jnl`	Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints. CoRR Peter Bugata, Peter Drotár
2020	J	`jnl`	On some aspects of minimum redundancy maximum relevance feature selection. Sci. China Inf. Sci. Peter Bugata, Peter Drotár
2019	J	`jnl`	Ensemble feature selection using election methods and ranker clustering. Inf. Sci. Peter Drotár, Matej Gazda, Liberios Vokorokos
2019	Misc	`conf`	Ensemble methods for strongly imbalanced data: bankruptcy prediction. SISY Peter Gnip, Peter Drotár
2019	Misc	`conf`	Stability analysis of WkNN feature selection. SACI Peter Bugata, Peter Gnip, Peter Drotár
2019	B	`conf`	Weighted k-nearest neighbors feature selection for high-dimensional multi-class data. SMC Peter Bugata, Peter Drotár
2019	J	`jnl`	Weighted nearest neighbors feature selection. Knowl. Based Syst. Peter Bugata, Peter Drotár
2018	—	`conf`	Single-Class Bankruptcy Prediction Based on the Data from Annual Reports. IDEAL (1) Peter Drotár, Peter Gnip, Martin Zoricak, Vladimír Gazda
2017	J	`jnl`	Comparison of Filter Techniques for Two-Step Feature Selection. Comput. Informatics Peter Drotár, Slavomír Simonák, Emília Pietriková, Martin Chovanec, Eva Chovancová, Norbert Ádám, Csaba Szabó, Anton Baláz, Miroslav Binas
2017	J	`jnl`	Dynamic spectrum leasing and retail pricing using an experimental economy. Comput. Networks Juraj Gazda, Gabriel Bugár, Marcel Volosin, Peter Drotár, Denis Horváth, Vladimír Gazda
2017	J	`jnl`	Tax optimization in an agent-based model of real-time spectrum secondary market. Telecommun. Syst. Juraj Gazda, Viliam Kovác, Peter Tóth, Peter Drotár, Vladimír Gazda
2016	J	`jnl`	Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. Artif. Intell. Medicine Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy
2016	—	`conf`	Spatial Real-Time Price Competition in the Dynamic Spectrum Access Markets. EUMAS/AT Marcel Volosin, Juraj Gazda, Peter Drotár, Gabriel Bugár, Vladimír Gazda
2015	J	`jnl`	An experimental comparison of feature selection methods on two-class biomedical datasets. Comput. Biol. Medicine Peter Drotár, Juraj Gazda, Zdenek Smékal
2015	—	`conf`	Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease. MeMeA Peter Drotár, Jirí Mekyska, Zdenek Smékal, Irena Rektorová, Lucia Masarová, Marcos Faúndez-Zanuy
2014	J	`jnl`	Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. Comput. Methods Programs Biomed. Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy
2014	Misc	`conf`	Fusion of diverse denoising systems for robust automatic speech recognition. ICASSP Naveen Kumar, Maarten Van Segbroeck, Kartik Audhkhasi, Peter Drotár, Shrikanth S. Narayanan
2013	C	`conf`	A new modality for quantitative evaluation of Parkinson's disease: In-air movement. BIBE Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy
2010	J	`jnl`	Receiver technique for iterative estimation and cancellation of nonlinear distortion in MIMO SFBC-OFDM systems. IEEE Trans. Consumer Electron. Peter Drotár, Juraj Gazda, Pavol Galajda, Dusan Kocur, Pavol Pavelka