ZOBRAZIT PŘEHLED:
Ing. Miroslav Čepek

Ing. Miroslav Čepek (foto) Ing. Miroslav Čepek

Odborný asistent
Postgraduální student - přerušení studia do obhajoby disertační práce



  Kontakt:  
 
e-mail:cepekmir[at]fel·cvut·cz
telefon:+420-22435-7340
místnost:Praha 2, Karlovo náměstí 13, E-407
další informace:http://neuron.felk.cvut.cz/~cepekm1odkaz mimo tento server

  Výzkumná skupina:   (2)
 

  Pedagogická činnost:   rozvrh na FELodkaz mimo tento server
  V tomto semestru cvičí předměty: (1/1/2)

Přednášel či cvičil předměty: (33)

  Publikace:   (4/11)
 
Publikace - významné: (4)


Publikace - ostatní: (11)

  • Automatic Preprocessing Moduleodkaz mimo tento server (Software splňující podmínky RIV (dřív Autorizovaný)
    2011, ČEPEK M., PILNÝ A.
    [Software splňující podmínky RIV (dřív Autorizovaný]. 2011.
  • The Effect of Modelling Method to the Inductive Preprocessing Algorithmodkaz mimo tento server (Stať ve sborníku)
    2010, ČEPEK M., KORDÍK P., ŠNOREK M.
    In Proceedings of 3rd International Conference on Inductive Modelling 2010. Kiev: Ukr. INTEI, 2010, p. 131-138.
  • Modelling of Age from the Teeth Development (Stať ve sborníku)
    2010, ČEPEK M., PILNÝ A., KUBELKOVÁ R., VELEMÍNSKÁ J., ŠNOREK M.
    In Proceedings of the 7th EUROSIM Congress on Modelling and Simulation, Vol. 2: Full Papers. Prague: Department of Computer Science and Engineering, FEE, CTU in Prague, 2010, p. 118-125. ISBN 978-80-01-04589-3.
  • Testing of Inductive Preprocessing Algorithmodkaz mimo tento server (Stať ve sborníku)
    2009, ČEPEK M., KORDÍK P., ŠNOREK M.
    In Proceedings of the 3rd International Workshop on Inductive Modelling 2009. Kiev: Ukr. INTEI, 2009, p. 13-18.
  • FAKE GAMEodkaz mimo tento server (Software splňující podmínky RIV (dřív Autorizovaný)
    2009, KORDÍK P., ČEPEK M., DRCHAL J., KOVÁŘÍK O., PILNÝ A.
    [Software splňující podmínky RIV (dřív Autorizovaný]. 2009.
  • ECG Signal Classification using GAME Neural Network and its comparison to other classifiers (Stať ve sborníku)
    2008, ČEPEK M., ŠNOREK M., CHUDÁČEK V.
    In Artificial Neural Networks - ICANN 2008, PT I. Heidelberg: Springer, 2008, p. 768-777. ISBN 978-3-540-87535-2.
  • Basic Data Reduction Techniques and Their Influence on GAME Modeling Method (Stať ve sborníku)
    2008, ČEPEK M., ŠNOREK M.
    In Proceedings of UKSIM Tenth International Conference on Computer Modelling and Simulation. Los Alamitos: IEEE Computer Society, 2008, p. 138-143. ISBN 0-7695-3114-8.
  • Automatic Method for Data Preprocessing for the GAME Inductive Modelling Method (Stať ve sborníku)
    2008, ČEPEK M., KORDÍK P., PAVLÍČEK M., ŠNOREK M.
    In Proceedings of the 2nd International Conference on Inductive Modelling. Kiev: Ukr. INTEI, 2008, p. 207-212. ISBN 978-966-02-4889-2.
  • Comparison of Inductive Modeling Method to Other Classification Methods for Holter ECG (Stať ve sborníku)
    2007, ČEPEK M., CHUDÁČEK V., PETRÍK M., LHOTSKÁ L., GEORGOULAS G., STYLIOS Ch., ŠNOREK M.
    In IWIM 2007 - International Workshop on Inductive Modelling. Praha: Czech Technical University in Prague, 2007, . ISBN 978-80-01-03881-9.
  • Application of Inductive Modeling to Sleep Stages Classification (Stať ve sborníku)
    2007, ČEPEK M., ŠNOREK M., KORDÍK P.
    In Proceedings of 41th Spring International Conference MOSIS'07. Ostrava: MARQ, 2007, vol. 1, p. 63-70. ISBN 978-80-86840-30-7.
  • IWIM 2007odkaz mimo tento server (Pořádání konference)
    2007, KORDÍK P., ČEPEK M., SKRBEK M., KOUTNÍK J., ŠNOREK M., DRCHAL J., MAREK R., BUK Z., BURYAN P., KOVÁŘÍK O., NÁPLAVA P.
    [Pořádání konference]. 2007.

  Citace:   (14/11)
 
Citace - významné: (14)

  • Meta-learning approach to neural network optimizationodkaz mimo tento server (Článek)
    2010, KORDÍK P., KOUTNÍK J., DRCHAL J., KOVÁŘÍK O., ČEPEK M., ŠNOREK M.
    Neural Networks. 2010, vol. 2010 (23), no. 4, p. 568-582. ISSN 0893-6080.
    Citováno v:
    • Macek K, Kukal J, Bostik J
      ON REINFORCEMENT LEARNING IN OPTIMIZATION HEURISTICS AND OPTIMAL METHOD SWITCHING

      16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MENDEL 2010, ISSN 1803-3814, , 2010
    • Zainuddin Z, Pauline O
      Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data

      APPLIED SOFT COMPUTING, ISSN 1568-4946, SCI Expanded, 2011
    • Cruz-Ramirez M, Fernandez JC, Valero A, et al.
      Multiobjective Pareto Ordinal Classification for Predictive Microbiology

      SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, ISSN 2194-5357, , 2013
    • Furtuna R, Piuleac CG, Curteanu S
      MULTI-OBJECTIVE OPTIMIZATION OF A STACKED NEURAL NETWORK USED IN MODELING OF AN ELECTROLYSIS PROCESS

      ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, ISSN 1582-9596, SCI Expanded, 2012
  • Examining Cross-Database Global Training to Evaluate Five Different Methods for Ventricular Beat Classificationodkaz mimo tento server (Článek)
    2009, CHUDÁČEK V., GEORGOULAS G., LHOTSKÁ L., STYLIOS C., PETRÍK M., ČEPEK M.
    Physiological Measurement. 2009, vol. 30, no. 7, p. 661-677. ISSN 0967-3334.
    Citováno v:
    • Homaeinezhad MR, Tavakkoli E, Atyabi SA, et al.
      Synthesis of multiple-type classification algorithms for robust heart rhythm type recognition: Neuro-svm-pnn learning machine with virtual QRS image-based geometrical features

      SCIENTIA IRANICA, ISSN 1026-3098, SCI Expanded, 2011
    • Sekkal, M., Chikh, M.A., Settouti, N.
      Evolving neural networks using a genetic algorithm for heartbeat classification

      Journal of Medical Engineering and Technology, ISSN 0309-1902, Other impacted journals, 2011
    • Mohammad Reza Homaeinezhad, Ali Ghaffari, Reza Rahmani
      Multi-lead Discrete Wavelet-based ECG Arrhythmia Recognition via Sequential Particle Support Vector Machine Classifiers

      JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, ISSN 1609-0985, SCI Expanded, 2011
    • Sekkal M, Chikh MA
      NEURO-GENETIC APPROACH TO CLASSIFICATION OF CARDIAC ARRYTHMIAS

      JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, ISSN 0219-5194, SCI Expanded, 2012
    • Llamedo M, Martinez JP
      An Automatic Patient-Adapted ECG Heartbeat Classifier Allowing Expert Assistance

      IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, ISSN 0018-9294, SCI, 2012
    • Llamedo M, Khawaja A, Martinez JP
      Cross-Database Evaluation of a Multilead Heartbeat Classifier

      IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, ISSN 1089-7771, SCI, 2012
    • Homaeinezhad MR, Atyabi SA, Tavakkoli E, et al.
      ECG arrhythmia recognition via a neuro-SVM-KNN hybrid classifier with virtual QRS image-based geometrical features

      EXPERT SYSTEMS WITH APPLICATIONS, ISSN 0957-4174, SCI Expanded, 2012
  • Comparison of Seven Approaches for Holter ECG Clustering and Classification (Stať ve sborníku)
    2007, CHUDÁČEK V., PETRÍK M., GEORGOULAS G., ČEPEK M., LHOTSKÁ L., STYLIOS Ch.
    In Sciences and Technologies for Health. Piscataway: IEEE, 2007, p. 3844-3847. ISBN 1-4244-0788-5.
    Citováno v:
    • Wang LP, Shen M, Tong JF, et al.
      An Uncertainty Reasoning Method for Abnormal ECG Detection

      2009 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE & EDUCATION, VOLS 1 AND 2, PROCEEDINGS, ISSN , , 2009
    • She LH, Song YN, Zhang S, et al.
      A Precise Ambulatory ECG Arrhythmia Intelligent Analysis Algorithm Based On Support Vector Machine Classifiers

      2010 3RD INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2010), VOLS 1-7, ISSN , , 2010
    • Korürek M., Doǧan B.
      ECG Beat Classification Using Particle Swarm Optimization and Radial Basis Function Neural Network

      EXPERT SYSTEMS WITH APPLICATIONS, ISSN 0957-4174, SCI Expanded, 2010

Citace - ostatní: (11)

  • Examining Cross-Database Global Training to Evaluate Five Different Methods for Ventricular Beat Classificationodkaz mimo tento server (Článek)
    2009, CHUDÁČEK V., GEORGOULAS G., LHOTSKÁ L., STYLIOS C., PETRÍK M., ČEPEK M.
    Physiological Measurement. 2009, vol. 30, no. 7, p. 661-677. ISSN 0967-3334.
    Citováno v:
    • Homaeinezhad, M.R., Tavakkoli, E., Afshar, A., Atyabi, S.A., Ghaffari, A.
      Neuro-ANFIS architecture for ECG rhythm-type recognition using different QRS geometrical-based features

      Iranian Journal of Electrical and Electronic Engineering, ISSN 1735-2827, 2011
    • Ghaffari, A., Homaeinezhad, M.R., Akraminia, M.
      Discrimination of the heart ventricular and atrial abnormalities via a wavelet-aided Adaptive Network Fuzzy Inference System (anfis) classifier

      Iranian Journal of Electrical and Electronic Engineering, ISSN 1735-2827, 2010
    • Mansouria Sekkal, Mohamed Amine Chikh, Nesma Settouti
      Evolving Neural Networks Using a Genetic Algorithm for Heartbeat Classification

      JOURNAL OF MEDICAL ENGINEERING AND TECHNOLOGY, ISSN 1752-6418, 2011
    • Mohammad Reza Homaeinezhad, Ehsan Tavakkoli, Ali Ghaffari
      Discrete Wavelet-based Fuzzy Network Architecture for ECG Rhythm-Type Recognition: Feature Extraction and Clustering- Oriented Tuning of Fuzzy Inference System

      International Journal of Signal Processing, Image Processing and Pattern Recognition, ISSN 2005-4254, 2011
    • M. R. Homaeinezhad, A. Ghaffari, M. Akraminia, M. Atarod, M. M. Daevaeiha
      Detection and Classification of Heart Premature Contractions via α-Level Binary Neyman-Pearson Radius Test: A Comparative Study

      Iranian Journal of Electrical & Electronic Engineering, ISSN 1735-2827, 2010
  • ECG Signal Classification using GAME Neural Network and its comparison to other classifiers (Stať ve sborníku)
    2008, ČEPEK M., ŠNOREK M., CHUDÁČEK V.
    In Artificial Neural Networks - ICANN 2008, PT I. Heidelberg: Springer, 2008, p. 768-777. ISBN 978-3-540-87535-2.
    Citováno v:
    • Albu, D. Lukkien, J. Verhoeven, R.
      On-Node Processing of ECG Signals

      Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE, ISSN , 2010
    • Peter Dürr, Walter Karlen, Jérémie Guignard, Claudio Mattiussi, Dario Floreano
      Evolutionary selection of features for neural sleep/wake discrimination

      Journal of Artificial Evolution and Applications, ISSN 1687-6229, 2009
    • Ing. Diana Albu
      On-node processing: Algorithms for Activity Classi cation and Monitoring in Wireless Sensor Networks

      MASTER'S THESIS, ISSN , 2010
  • Comparison of Seven Approaches for Holter ECG Clustering and Classification (Stať ve sborníku)
    2007, CHUDÁČEK V., PETRÍK M., GEORGOULAS G., ČEPEK M., LHOTSKÁ L., STYLIOS Ch.
    In Sciences and Technologies for Health. Piscataway: IEEE, 2007, p. 3844-3847. ISBN 1-4244-0788-5.
    Citováno v:
    • Wang, L.-P., Dong, J.
      The Advance Research and Analysis of Electrocardiogram Pattern Classification

      CHINESE JOURNAL OF BIOMEDICAL ENGINEERING, ISSN 0258-8021, 2010
    • Doǧan B., Korürek M.
      ECG Beat Classification Using Ant Colony Optimization for Continuous Domains

      2010 National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010, ISSN , 2010
    • De Lannoy G., Verleysen M., Delbeke J.
      Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification

      BIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing, ISSN , 2009

  Granty:   (6)
 

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Vygenerováno: 24.04.2013 17:08

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