Search Results - "Drotar, Peter"

Ensemble feature selection using election methods and ranker clustering by Drotár, Peter, Gazda, Matej, Vokorokos, Liberios

“…Feature selection (FS) has become a significant part of the data processing pipeline. Recently, ensemble FS has emerged as a new methodology that promises to…”
Get full text

Dysgraphia detection through machine learning by Drotár, Peter, Dobeš, Marek

“…Dysgraphia, a disorder affecting the written expression of symbols and words, negatively impacts the academic results of pupils as well as their overall…”
Get full text

Weighted nearest neighbors feature selection by Bugata, Peter, Drotár, Peter

“…Huge amounts of data are pervasive in many domains and applications. Unfortunately, high-dimensional data are tightly associated with the curse of…”
Get full text

Feature Selection Based on a Sparse Neural-Network Layer With Normalizing Constraints by Bugata, Peter, Drotar, Peter

“…Feature selection (FS) is an important step in machine learning since it has been shown to improve prediction accuracy while suppressing the curse of…”
Get full text

Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease by Drotár, Peter, Mekyska, Jiří, Rektorová, Irena, Masarová, Lucia, Smékal, Zdeněk, Faundez-Zanuy, Marcos

“…Highlights • Handwriting movements can be used to assist in the diagnosis of Parkinson's disease. • The pressure exerted on the surface during handwriting…”
Get full text

Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets by Zoričák, Martin, Gnip, Peter, Drotár, Peter, Gazda, Vladimír

“…Bankruptcy prediction is still important topic receiving notable attention. Information about an imminent bankruptcy threat is a crucial aspect of the…”
Get full text

Selective oversampling approach for strongly imbalanced data by Gnip, Peter, Vokorokos, Liberios, Drotár, Peter

“…Challenges posed by imbalanced data are encountered in many real-world applications. One of the possible approaches to improve the classifier performance on…”
Get full text

Convolutional neural network ensemble for Parkinson's disease detection from voice recordings by Hireš, Máté, Gazda, Matej, Drotár, Peter, Pah, Nemuel Daniel, Motin, Mohammod Abdul, Kumar, Dinesh Kant

“…The computerized detection of Parkinson's disease (PD) will facilitate population screening and frequent monitoring and provide a more objective measure of…”
Get full text

Computerized analysis of speech and voice for Parkinson's disease: A systematic review by Ngo, Quoc Cuong, Motin, Mohammod Abdul, Pah, Nemuel Daniel, Drotár, Peter, Kempster, Peter, Kumar, Dinesh

“…•Speech and voice may be valuable markers for PD.•Large differences between datasets make it difficult to compare different studies.•Speech analytic methods…”
Get full text

Decision Support Framework for Parkinson's Disease Based on Novel Handwriting Markers by Drotar, Peter, Mekyska, Jiri, Rektorova, Irena, Masarova, Lucia, Smekal, Zdenek, Faundez-Zanuy, Marcos

“…Parkinson's disease (PD) is a neurodegenerative disorder which impairs motor skills, speech, and other functions such as behavior, mood, and cognitive…”
Get full text

On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice by Hireš, Máté, Drotár, Peter, Pah, Nemuel Daniel, Ngo, Quoc Cuong, Kumar, Dinesh Kant

“…Background and Objective: Parkinson's disease is the second-most-common neurodegenerative disorder that affects motor skills, cognitive processes, mood, and…”
Get full text

Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification by Gazda, Matej, Plavka, Jan, Gazda, Jakub, Drotar, Peter

“…Chest radiography is a relatively cheap, widely available medical procedure that conveys key information for making diagnostic decisions. Chest X-rays are…”
Get full text

BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation by Hresko, David Jozef, Drotar, Peter

“…Goal: In recent years, deep neural networks have consistently outperformed previously proposed methods in the domain of medical segmentation. However, due to…”
Get full text

Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease by Drotár, Peter, Mekyska, Jiří, Rektorová, Irena, Masarová, Lucia, Smékal, Zdenek, Faundez-Zanuy, Marcos

“…Highlights • We exploit the fact that movement during handwriting of a text consists of on-surface and in-air movements and use it for differential diagnosis…”
Get full text

Machine Learning Approach to Dysphonia Detection by Dankovičová, Zuzana, Sovák, Dávid, Drotár, Peter, Vokorokos, Liberios

“…This paper addresses the processing of speech data and their utilization in a decision support system. The main aim of this work is to utilize machine learning…”
Get full text

Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm by Kanász, Róbert, Gnip, Peter, Zoričák, Martin, Drotár, Peter

“…The prediction of imminent bankruptcy for a company is important to banks, government agencies, business owners, and different business stakeholders…”
Get full text

Robustness of Interval Monge Matrices in Fuzzy Algebra by Hireš, Máté, Molnárová, Monika, Drotár, Peter

“…Max–min algebra (called also fuzzy algebra) is an extremal algebra with operations maximum and minimum. In this paper, we study the robustness of Monge…”
Get full text

Dynamic spectrum leasing and retail pricing using an experimental economy by Gazda, Juraj, Bugár, Gabriel, Vološin, Marcel, Drotár, Peter, Horváth, Denis, Gazda, Vladimír

“…This paper presents an agent-based computational model for competitive spectrum leasing and pricing. The model can be used to develop strategies for cognitive…”
Get full text

Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset by Galaz, Zoltan, Drotar, Peter, Mekyska, Jiri, Gazda, Matej, Mucha, Jan, Zvoncak, Vojtech, Smekal, Zdenek, Faundez-Zanuy, Marcos, Castrillon, Reinel, Orozco-Arroyave, Juan Rafael, Rapcsak, Steven, Kincses, Tamas, Brabenec, Lubos, Rektorova, Irena

“…Parkinson's disease dysgraphia (PDYS), one of the earliest signs of Parkinson's disease (PD), has been researched as a promising biomarker of PD and as the…”
Get full text

Small- and medium-enterprises bankruptcy dataset by Drotár, Peter, Gnip, Peter, Zoričak, Martin, Gazda, Vladimír

“…Bankruptcy prediction is a long-standing issue that receives significant attention of academic researchers and industry practitioners. Most of the papers on…”
Get full text