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Peter Drotár
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2020 – today
- 2024
- [i6]Matej Gazda, Samuel Kadoury, Jakub Gazda, Peter Drotár:
Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits. CoRR abs/2405.20981 (2024) - 2023
- [j19]Máté Hires
, Peter Drotár, Nemuel Daniel Pah
On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice. Int. J. Medical Informatics 179: 105237 (2023) - [j18]Róbert Kanász
Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm. PeerJ Comput. Sci. 9: e1257 (2023) - [j17]Peter Bugata
Feature Selection Based on a Sparse Neural-Network Layer With Normalizing Constraints. IEEE Trans. Cybern. 53(1): 161-172 (2023) - [c13]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: 1-4 - [c12]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: 1-5 - [i5]Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury:
End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction. CoRR abs/2303.07432 (2023) - 2022
- [j16]Máté Hires
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings. Comput. Biol. Medicine 141: 105021 (2022) - [j15]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: 107133 (2022) - [j14]Zoltan Galaz, Peter Drotár, Jirí Mekyska
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers Neuroinformatics 16: 877139 (2022) - [j13]Matej Gazda
Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 78-89 (2022) - [c11]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: 43-51 - [c10]David Jozef Hresko
Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation. DFUC@MICCAI 2022: 92-100 - [i4]Peter Drotár, Jirí Mekyska
Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease. CoRR abs/2203.11269 (2022) - [i3]David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár:
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment. CoRR abs/2208.04007 (2022) - 2021
- [j12]Matej Gazda
Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification. IEEE Access 9: 151972-151982 (2021) - [j11]Peter Gnip
Selective oversampling approach for strongly imbalanced data. PeerJ Comput. Sci. 7: e604 (2021) - [c9]Matej Gazda, Peter Bugata
Mixup Augmentation for Kidney and Kidney Tumor Segmentation. KiTS@MICCAI 2021: 90-97 - [i2]Matej Gazda, Jakub Gazda, Ján Plávka, Peter Drotár
Self-supervised deep convolutional neural network for chest X-ray classification. CoRR abs/2103.03055 (2021) - 2020
- [j10]Peter Bugata
On some aspects of minimum redundancy maximum relevance feature selection. Sci. China Inf. Sci. 63(1): 112103 (2020) - [i1]Peter Bugata, Peter Drotár:
Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints. CoRR abs/2012.06365 (2020)
2010 – 2019
- 2019
- [j9]Peter Drotár
Ensemble feature selection using election methods and ranker clustering. Inf. Sci. 480: 365-380 (2019) - [j8]Peter Bugata
Weighted nearest neighbors feature selection. Knowl. Based Syst. 163: 749-761 (2019) - [c8]Peter Bugata
Stability analysis of WkNN feature selection. SACI 2019: 281-286 - [c7]Peter Gnip, Peter Drotár:
Ensemble methods for strongly imbalanced data: bankruptcy prediction. SISY 2019: 155-160 - [c6]Peter Bugata
Weighted k-nearest neighbors feature selection for high-dimensional multi-class data. SMC 2019: 3066-3073 - 2018
- [c5]Peter Drotár
Single-Class Bankruptcy Prediction Based on the Data from Annual Reports. IDEAL (1) 2018: 344-353 - 2017
- [j7]Peter Drotár, Slavomír Simonák
Comparison of Filter Techniques for Two-Step Feature Selection. Comput. Informatics 36(3): 597-617 (2017) - [j6]Juraj Gazda
Dynamic spectrum leasing and retail pricing using an experimental economy. Comput. Networks 121: 173-184 (2017) - [j5]Juraj Gazda
Tax optimization in an agent-based model of real-time spectrum secondary market. Telecommun. Syst. 64(3): 543-558 (2017) - 2016
- [j4]Peter Drotár
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. Artif. Intell. Medicine 67: 39-46 (2016) - [c4]Marcel Volosin, Juraj Gazda
Spatial Real-Time Price Competition in the Dynamic Spectrum Access Markets. EUMAS/AT 2016: 217-229 - 2015
- [j3]Peter Drotár
An experimental comparison of feature selection methods on two-class biomedical datasets. Comput. Biol. Medicine 66: 1-10 (2015) - [c3]Peter Drotár
Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease. MeMeA 2015: 344-348 - 2014
- [j2]Peter Drotár
Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. Comput. Methods Programs Biomed. 117(3): 405-411 (2014) - [c2]Naveen Kumar, Maarten Van Segbroeck, Kartik Audhkhasi, Peter Drotár
Fusion of diverse denoising systems for robust automatic speech recognition. ICASSP 2014: 5557-5561 - 2013
- [c1]Peter Drotár
A new modality for quantitative evaluation of Parkinson's disease: In-air movement. BIBE 2013: 1-4 - 2010
- [j1]Peter Drotár
Receiver technique for iterative estimation and cancellation of nonlinear distortion in MIMO SFBC-OFDM systems. IEEE Trans. Consumer Electron. 56(2): 471-475 (2010)
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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