Sándor M. Szilágyi

Affiliations:
  • Petru Maior University, Mures, Romania


According to our database1, Sándor M. Szilágyi authored at least 51 papers between 2006 and 2019.

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

Timeline

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Bibliography

2019
Self-Tuning Possibilistic c-Means Clustering Models.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019

2018
Evolving Computationally Efficient Hashing for Similarity Search.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach.
Proceedings of the Image and Video Technology - 8th Pacific-Rim Symposium, 2017

OutIntSys - A Novel Method for the Detection of the Most Intelligent Cooperative Multiagent Systems.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Possibilistic c-means Clustering Model with Cluster Size Estimation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016
A modified two-stage Markov clustering algorithm for large and sparse networks.
Comput. Methods Programs Biomed., 2016

A Study on Cluster Size Sensitivity of Fuzzy c-Means Algorithm Variants.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Recent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Generalization rules for the suppressed fuzzy c-means clustering algorithm.
Neurocomputing, 2014

A fast hierarchical clustering algorithm for large-scale protein sequence data sets.
Comput. Biol. Medicine, 2014

Comparison of various improved-partition fuzzy c-means clustering algorithms in fast color reduction.
Proceedings of the IEEE 12th International Symposium on Intelligent Systems and Informatics, 2014

Application of the Fuzzy-Possibilistic Product Partition in Elliptic Shell Clustering.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

A Fast and Memory-Efficient Hierarchical Graph Clustering Algorithm.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Synthetic Test Data Generation for Hierarchical Graph Clustering Methods.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Fast color reduction using approximative c-means clustering models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Fast Implementations of Markov Clustering for Protein Sequence Grouping.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

Efficient Markov clustering algorithm for protein sequence grouping.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Simulation of Arrhythmia using Adaptive Spatio-temporal Resolution.
Proceedings of the Computing in Cardiology, 2013

Modeling the Influence of High Fibroblast Level on Arrhythmia Development and Obstructed Depolarization Spread.
Proceedings of the Computing in Cardiology, 2013

Study of Electric and Mechanic Properties of the Implanted Artificial Cardiac Tissue Using a Whole Heart Model.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Efficient inhomogeneity compensation using fuzzy c-means clustering models.
Comput. Methods Programs Biomed., 2012

Vascular system reconstruction from MR images using active appearance model.
Proceedings of the 7th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2012

2011
A patient specific electro-mechanical model of the heart.
Comput. Methods Programs Biomed., 2011

Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models.
Biomed. Signal Process. Control., 2011

Efficient 3D Curve Skeleton Extraction from Large Objects.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

An Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Analytical and numerical evaluation of the suppressed fuzzy <i>c</i>-means algorithm: a study on the competition in <i>c</i>-means clustering models.
Soft Comput., 2010

A modified Markov clustering approach to unsupervised classification of protein sequences.
Neurocomputing, 2010

A Generalized Approach to the Suppressed Fuzzy <i>c</i>-Means Algorithm.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

2009
A weighted patient specific electromechanical model of the heart.
Proceedings of the 5th International Symposium on Applied Computational Intelligence and Informatics, 2009

Application of hybrid c-means clustering models in inhomogeneity compensation and MR brain image segmentation.
Proceedings of the 5th International Symposium on Applied Computational Intelligence and Informatics, 2009

A unified approach to c-means clustering models.
Proceedings of the FUZZ-IEEE 2009, 2009

A generalized c-means clustering model using optimized via evolutionary computation.
Proceedings of the FUZZ-IEEE 2009, 2009

2008
A Modified Markov Clustering Approach for Protein Sequence Clustering.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

Analytical and Numerical Evaluation of the Suppressed Fuzzy C-Means Algorithm.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2008

Multi-stage FCM-Based Intensity Inhomogeneity Correction for MR Brain Image Segmentation.
Proceedings of the Artificial Neural Networks, 2008

An Enhanced Accessory Pathway Localization Method for Efficient Treatment of Wolff-Parkinson-White Syndrome.
Proceedings of the Progress in Pattern Recognition, 2008

A Thorough Analysis of the Suppressed Fuzzy C-Means Algorithm.
Proceedings of the Progress in Pattern Recognition, 2008

GeCiM: A Novel Generalized Approach to C-Means Clustering.
Proceedings of the Progress in Pattern Recognition, 2008

2007
Support Vector Machine-Based ECG Compression.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Spatial Heart Simulation and Analysis Using Unified Neural Network.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

A Modified FCM Algorithm for Fast Segmentation of Brain MR Images.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Efficient Feature Extraction for Fast Segmentation of MR Brain Images.
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Spatial Visualization of the Heart in Case of Ectopic Beats and Fibrillation.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007

A Modified Fuzzy C-Means Algorithm for MR Brain Image Segmentation.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

Volumetric Analysis of the Heart Using Echocardiography.
Proceedings of the Functional Imaging and Modeling of the Heart, 2007

Unified Neural Network Based Pathologic Event Reconstruction Using Spatial Heart Model.
Proceedings of the Progress in Pattern Recognition, 2007

Echocardiographic Image Sequence Compression Based on Spatial Active Appearance Model.
Proceedings of the Progress in Pattern Recognition, 2007

Adaptive ECG Compression Using Support Vector Machine.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Quick ECG Analysis for On-Line Holter Monitoring Systems.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Sensibility analysis of the Arruda localization method.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006


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