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ORCIDSándor M. Szilágyi
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- affiliation: Petru Maior University, Mures, Romania
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2020 – today
- 2023
[j11]Attila Biró
, Sándor Miklós Szilágyi, László Szilágyi, Jaime Martín-Martín, Antonio I. Cuesta-Vargas:
Machine Learning on Prediction of Relative Physical Activity Intensity Using Medical Radar Sensor and 3D Accelerometer. Sensors 23(7): 3595 (2023)- [j10]József Cseh, Phong Dang, Sándor M. Szilágyi, Géza Lévai:
Orbital Regularity of Exoplanets and the Symmetries of the Kepler Problem. Symmetry 15(12): 2114 (2023) - [c41]Attila Biró, Antonio Ignacio Cuesta-Vargas, Sándor Miklós Szilágyi:
Predictive Sports Strategy Approach Using YOLO and YOLO-NAS in Performance Sports. SISY 2023: 303-308 - [c40]Attila Biró, Antonio Ignacio Cuesta-Vargas, Sándor Miklós Szilágyi:
Real-Time Disease and COVID-19 Detection Pipeline from Voice for Performance Sports. SMC 2023: 2309-2314
2010 – 2019
- 2019
- [j9]László Szilágyi, Szidónia Lefkovits, Sándor M. Szilágyi:
Self-Tuning Possibilistic c-Means Clustering Models. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(Supplement-1): 143-159 (2019) - 2018
- [c39]David Iclanzan, Sándor Miklós Szilágyi, László Szilágyi:
Evolving Computationally Efficient Hashing for Similarity Search. ICONIP (2) 2018: 552-563 - 2017
- [c38]László Szilágyi, Sándor M. Szilágyi:
A Possibilistic c-means Clustering Model with Cluster Size Estimation. CIARP 2017: 661-668 - [c37]Sabri Arik, László Barna Iantovics, Sándor Miklos Szilágyi:
OutIntSys - A Novel Method for the Detection of the Most Intelligent Cooperative Multiagent Systems. ICONIP (4) 2017: 31-40 - [c36]Zoltán Kapás, László Lefkovits, David Iclanzan, Ágnes Gyorfi, Barna László Iantovics, Szidónia Lefkovits, Sándor Miklós Szilágyi, László Szilágyi:
Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach. PSIVT 2017: 137-149 - 2016
- [j8]László Szilágyi, Sándor M. Szilágyi:
A modified two-stage Markov clustering algorithm for large and sparse networks. Comput. Methods Programs Biomed. 135: 15-26 (2016) - [c35]László Szilágyi, Sándor M. Szilágyi, Calin Enachescu:
A Study on Cluster Size Sensitivity of Fuzzy c-Means Algorithm Variants. ICONIP (2) 2016: 470-478 - 2015
- [c34]László Szilágyi, Lajos Loránd Nagy, Sándor Miklós Szilágyi:
Recent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm. ICONIP (2) 2015: 28-35 - 2014
- [j7]Sándor M. Szilágyi, László Szilágyi:
A fast hierarchical clustering algorithm for large-scale protein sequence data sets. Comput. Biol. Medicine 48: 94-101 (2014) - [j6]László Szilágyi, Sándor M. Szilágyi:
Generalization rules for the suppressed fuzzy c-means clustering algorithm. Neurocomputing 139: 298-309 (2014) - [c33]László Szilágyi, Gellert Denesi, Sándor Miklós Szilágyi:
Fast color reduction using approximative c-means clustering models. FUZZ-IEEE 2014: 194-201 - [c32]László Szilágyi, Sándor Miklós Szilágyi, Béat Hirsbrunner:
A Fast and Memory-Efficient Hierarchical Graph Clustering Algorithm. ICONIP (1) 2014: 247-254 - [c31]László Szilágyi, Levente Kovács, Sándor Miklós Szilágyi:
Synthetic Test Data Generation for Hierarchical Graph Clustering Methods. ICONIP (2) 2014: 303-310 - [c30]László Szilágyi, Zsuzsa Réka Varga, Sándor Miklós Szilágyi:
Application of the Fuzzy-Possibilistic Product Partition in Elliptic Shell Clustering. MDAI 2014: 158-169 - [c29]László Szilágyi, Gellert Denesi, Levente Kovács, Sándor M. Szilágyi:
Comparison of various improved-partition fuzzy c-means clustering algorithms in fast color reduction. SISY 2014: 197-202 - 2013
- [c28]Sándor Miklós Szilágyi, László Szilágyi, Béat Hirsbrunner:
Study of Electric and Mechanic Properties of the Implanted Artificial Cardiac Tissue Using a Whole Heart Model. CIARP (2) 2013: 230-237 - [c27]Sándor M. Szilágyi, László Szilágyi, Béat Hirsbrunner:
Modeling the Influence of High Fibroblast Level on Arrhythmia Development and Obstructed Depolarization Spread. CinC 2013: 45-48 - [c26]Sándor M. Szilágyi, László Szilágyi, Béat Hirsbrunner:
Simulation of Arrhythmia using Adaptive Spatio-temporal Resolution. CinC 2013: 365-368 - [c25]László Szilágyi, Sándor M. Szilágyi:
Efficient Markov clustering algorithm for protein sequence grouping. EMBC 2013: 639-642 - [c24]László Szilágyi, Sándor Miklós Szilágyi:
Fast Implementations of Markov Clustering for Protein Sequence Grouping. MDAI 2013: 214-225 - 2012
- [j5]László Szilágyi, Sándor M. Szilágyi, Balázs Benyó:
Efficient inhomogeneity compensation using fuzzy c-means clustering models. Comput. Methods Programs Biomed. 108(1): 80-89 (2012) - [c23]Sándor M. Szilágyi, Calin Enachescu:
Vascular system reconstruction from MR images using active appearance model. SACI 2012: 163-168 - 2011
- [j4]László Szilágyi, Sándor M. Szilágyi, Balázs Benyó, Zoltán Benyó:
Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models. Biomed. Signal Process. Control. 6(1): 3-12 (2011) - [j3]Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó:
A patient specific electro-mechanical model of the heart. Comput. Methods Programs Biomed. 101(2): 183-200 (2011) - [c22]László Szilágyi, Sándor M. Szilágyi, David Iclanzan, Lehel Szabó:
Efficient 3D Curve Skeleton Extraction from Large Objects. CIARP 2011: 133-140 - [c21]László Szilágyi, David Iclanzan, Lehel Craciun, Sándor M. Szilágyi:
An Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models. CIARP 2011: 312-319 - 2010
- [j2]László Szilágyi, Lehel Medvés, Sándor M. Szilágyi:
A modified Markov clustering approach to unsupervised classification of protein sequences. Neurocomputing 73(13-15): 2332-2345 (2010) - [j1]László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó:
Analytical and numerical evaluation of the suppressed fuzzy c-means algorithm: a study on the competition in c-means clustering models. Soft Comput. 14(5): 495-505 (2010) - [c20]László Szilágyi, Sándor M. Szilágyi, Csilla Kiss:
A Generalized Approach to the Suppressed Fuzzy c-Means Algorithm. MDAI 2010: 140-151
2000 – 2009
- 2009
- [c19]László Szilágyi, David Iclanzan, Sándor M. Szilágyi, Dan Dumitrescu, Béat Hirsbrunner:
A generalized c-means clustering model using optimized via evolutionary computation. FUZZ-IEEE 2009: 451-455 - [c18]László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó:
A unified approach to c-means clustering models. FUZZ-IEEE 2009: 456-461 - [c17]László Szilágyi, Sándor M. Szilágyi, Balázs Benyó, Zoltán Benyó:
Application of hybrid c-means clustering models in inhomogeneity compensation and MR brain image segmentation. SACI 2009: 105-110 - [c16]Sándor M. Szilágyi, László Szilágyi, David Iclanzan, Zoltán Benyó:
A weighted patient specific electromechanical model of the heart. SACI 2009: 111-116 - 2008
- [c15]László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó:
A Thorough Analysis of the Suppressed Fuzzy C-Means Algorithm. CIARP 2008: 203-210 - [c14]László Szilágyi, David Iclanzan, Sándor M. Szilágyi, Dan Dumitrescu:
GeCiM: A Novel Generalized Approach to C-Means Clustering. CIARP 2008: 235-242 - [c13]Sándor M. Szilágyi, László Szilágyi, Levente K. Görög, Constantin T. Luca, Dragos Cozma, Gabriel Ivanica, Zoltán Benyó:
An Enhanced Accessory Pathway Localization Method for Efficient Treatment of Wolff-Parkinson-White Syndrome. CIARP 2008: 269-276 - [c12]László Szilágyi, Sándor M. Szilágyi, László Dávid, Zoltán Benyó:
Multi-stage FCM-Based Intensity Inhomogeneity Correction for MR Brain Image Segmentation. ICANN (2) 2008: 527-536 - [c11]László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó:
Analytical and Numerical Evaluation of the Suppressed Fuzzy C-Means Algorithm. MDAI 2008: 146-157 - [c10]Lehel Medvés, László Szilágyi, Sándor M. Szilágyi:
A Modified Markov Clustering Approach for Protein Sequence Clustering. PRIB 2008: 110-120 - 2007
- [c9]Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó:
Adaptive ECG Compression Using Support Vector Machine. CIARP 2007: 594-603 - [c8]Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó:
Echocardiographic Image Sequence Compression Based on Spatial Active Appearance Model. CIARP 2007: 841-850 - [c7]Sándor M. Szilágyi, László Szilágyi, Attila Frigy, Levente K. Görög, Zoltán Benyó:
Unified Neural Network Based Pathologic Event Reconstruction Using Spatial Heart Model. CIARP 2007: 851-860 - [c6]Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó:
Volumetric Analysis of the Heart Using Echocardiography. FIMH 2007: 81-90 - [c5]László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó:
A Modified Fuzzy C-Means Algorithm for MR Brain Image Segmentation. ICIAR 2007: 866-877 - [c4]Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó:
Spatial Visualization of the Heart in Case of Ectopic Beats and Fibrillation. PSIVT 2007: 548-561 - [c3]László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó:
Efficient Feature Extraction for Fast Segmentation of MR Brain Images. SCIA 2007: 611-620 - [p3]László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó:
A Modified FCM Algorithm for Fast Segmentation of Brain MR Images. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 119-127 - [p2]Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó:
Spatial Heart Simulation and Analysis Using Unified Neural Network. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 346-354 - [p1]Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó:
Support Vector Machine-Based ECG Compression. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 737-745 - 2006
- [c2]László Szilágyi, Sándor M. Szilágyi, Gergely Fördös, Zoltán Benyó:
Quick ECG Analysis for On-Line Holter Monitoring Systems. EMBC 2006: 1678-1681 - [c1]Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó:
Sensibility analysis of the Arruda localization method. EMBC 2006: 3998-4001
Coauthor Index
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