Peter Drotár

Orcid: 0000-0002-6634-4696

According to our database1, Peter Drotár authored at least 33 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits.
CoRR, 2024

2023
On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice.
Int. J. Medical Informatics, November, 2023

Feature Selection Based on a Sparse Neural-Network Layer With Normalizing Constraints.
IEEE Trans. Cybern., 2023

Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm.
PeerJ Comput. Sci., 2023

End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Application of StyleGAN Architecture for Generating Venous Leg Ulcer Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting.
IEEE Trans. Syst. Man Cybern. Syst., 2022

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

Computerized analysis of speech and voice for Parkinson's disease: A systematic review.
Comput. Methods Programs Biomed., 2022

Convolutional neural network ensemble for Parkinson's disease detection from voice recordings.
Comput. Biol. Medicine, 2022

Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation.
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Third Challenge, 2022

Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022

2021
Selective oversampling approach for strongly imbalanced data.
PeerJ Comput. Sci., 2021

Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification.
IEEE Access, 2021

Mixup Augmentation for Kidney and Kidney Tumor Segmentation.
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

2020
On some aspects of minimum redundancy maximum relevance feature selection.
Sci. China Inf. Sci., 2020

2019
Weighted nearest neighbors feature selection.
Knowl. Based Syst., 2019

Ensemble feature selection using election methods and ranker clustering.
Inf. Sci., 2019

Weighted k-nearest neighbors feature selection for high-dimensional multi-class data.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Ensemble methods for strongly imbalanced data: bankruptcy prediction.
Proceedings of the 17th IEEE International Symposium on Intelligent Systems and Informatics, 2019

Stability analysis of WkNN feature selection.
Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019

2018
Single-Class Bankruptcy Prediction Based on the Data from Annual Reports.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017
Tax optimization in an agent-based model of real-time spectrum secondary market.
Telecommun. Syst., 2017

Dynamic spectrum leasing and retail pricing using an experimental economy.
Comput. Networks, 2017

Comparison of Filter Techniques for Two-Step Feature Selection.
Comput. Informatics, 2017

2016
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease.
Artif. Intell. Medicine, 2016

Spatial Real-Time Price Competition in the Dynamic Spectrum Access Markets.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2016

2015
An experimental comparison of feature selection methods on two-class biomedical datasets.
Comput. Biol. Medicine, 2015

Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015

2014
Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease.
Comput. Methods Programs Biomed., 2014

Fusion of diverse denoising systems for robust automatic speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
A new modality for quantitative evaluation of Parkinson's disease: In-air movement.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2010
Receiver technique for iterative estimation and cancellation of nonlinear distortion in MIMO SFBC-OFDM systems.
IEEE Trans. Consumer Electron., 2010


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