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2020 – today
- 2024
[j9]Cheng Kang
, Jindrich Prokop, Lei Tong, Huiyu Zhou, Yong Hu, Daniel Novák:
InA: Inhibition Adaption on pre-trained language models. Neural Networks 178: 106410 (2024)- [i1]Tomás Lima, Igor Varga, Eduard Bakstein, Daniel Novák, Victor Alves:
Subthalamic Nucleus segmentation in high-field Magnetic Resonance data. Is space normalization by template co-registration necessary? CoRR abs/2407.15485 (2024) - 2020
- [j8]David Cuesta-Frau, Jakub Schneider, Eduard Bakstein, Pavel Vostatek, Filip Spaniel, Daniel Novák:
Classification of Actigraphy Records from Bipolar Disorder Patients Using Slope Entropy: A Feasibility Study. Entropy 22(11): 1243 (2020) - [c21]Igor Varga, Eduard Bakstein, Greydon Gilmore, Daniel Novák:
Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement. ML-CDS/CLIP@MICCAI 2020: 34-43
2010 – 2019
- 2019
- [j7]David Cuesta-Frau, Daniel Abásolo, Daniel Novák:
Recent Improvements on Complexity Measures for Time Series. Complex. 2019: 5903789:1-5903789:2 (2019) - [j6]David Cuesta-Frau, Daniel Novák, Vaclav Burda, Daniel E. Abásolo, Tricia Adjei, Manuel Varela, Borja Vargas, Milos Mraz, Petra Kavalkova, Marek Benes, Martin Haluzik:
Influence of Duodenal-Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods. Complex. 2019: 6070518:1-6070518:10 (2019) - 2018
- [j5]Eva M. Cirugeda-Roldán, Antonio Molina-Picó, Daniel Novák, David Cuesta-Frau, Václav Kremen:
Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation. Comput. Math. Methods Medicine 2018: 1874651:1-1874651:8 (2018) - [j4]David Cuesta-Frau, Daniel Novák, Vaclav Burda, Antonio Molina-Picó, Borja Vargas, Milos Mraz, Petra Kavalkova, Marek Benes, Martin Haluzik:
Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics. Entropy 20(11): 871 (2018) - [c20]Eduard Bakstein, Tomás Sieger, Filip Ruzicka, Daniel Novák, Robert Jech:
Fusion of Microelectrode Neuronal Recordings and MRI Landmarks for Automatic Atlas Fitting in Deep Brain Stimulation Surgery. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 175-183 - 2017
- [j3]Sara Isabel Duque, Andrés Orozco-Duque, Václav Kremen, Daniel Novák, Catalina Tobón, John Bustamante:
Feature subset selection and classification of intracardiac electrograms during atrial fibrillation. Biomed. Signal Process. Control. 38: 182-190 (2017) - 2016
- [c19]Vaclav Burda, Daniel Novák, Jakub Schneider:
Evaluation of diabetes mellitus compensation after one year of using Mobiab system. EMBC 2016: 6002-6005 - [c18]Eduard Bakstein, Tomás Sieger, Daniel Novák, Robert Jech:
Probabilistic Model of Neuronal Background Activity in Deep Brain Stimulation Trajectories. ITBAM 2016: 97-111 - 2015
- [j2]Eva M. Cirugeda-Roldán, Daniel Novák, Václav Kremen, David Cuesta-Frau, Matthias Walter Keller, Armin Luik, Martina Srutová:
Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study. Entropy 17(11): 7493-7509 (2015) - [c17]Eduard Bakstein, Jakub Schneider, Tomás Sieger, Daniel Novák, Jirí Wild, Robert Jech:
Supervised segmentation of microelectrode recording artifacts using power spectral density. EMBC 2015: 1524-1527 - [c16]Jakub Schneider, Daniel Novák, Robert Jech:
Optimization of Parkinson Disease treatment combining anti-Parkinson drugs and deep brain stimulation using patient diaries. EMBC 2015: 3444-3447 - [c15]Vladimir Smejkal, Ladislav Sieger, Jindrich Kodl, Daniel Novák, Jakub Schneider:
The dynamic biometric signature - Is the biometric data in the created signature constant? ICCST 2015: 385-390 - [c14]Vaclav Burda, Daniel Novák:
Mobiab system for diabetes mellitus compensation. IWCIM 2015: 1-3 - 2014
- [c13]Andrés Orozco-Duque, Sara Isabel Duque, Juan P. Ugarte, Catalina Tobón, Daniel Novák, Václav Kremen, Germán Castellanos-Domínguez, Javier Saiz, John Bustamante:
Fractionated electrograms and rotors detection in chronic atrial fibrillation using model-based clustering. EMBC 2014: 1579-1582 - [c12]Andrés Orozco-Duque, Juan David Martínez-Vargas, Daniel Novák, John Bustamante, Germán Castellanos-Domínguez:
Feature selection for discrimination of fractionation levels in atrial electrograms. EMBC 2014: 1595-1598 - [c11]Daniel Novák, Filip Albert, Filip Sniel:
Analysis of actigraph parameters for relapse prediction in bipolar disorder: A feasibility study. EMBC 2014: 4972-4975 - 2013
- [c10]Martin Macas, Lenka Lhotská, Daniel Novák:
Hidden Markov models for analysis of eye movements of dyslexic children. DSP 2013: 1-5 - 2012
- [j1]Martin Macas, Lenka Lhotská, Eduard Bakstein, Daniel Novák, Jirí Wild, Tomás Sieger, Pavel Vostatek, Robert Jech:
Wrapper feature selection for small sample size data driven by complete error estimates. Comput. Methods Programs Biomed. 108(1): 138-150 (2012)
2000 – 2009
- 2008
- [c9]Daniel Novák, Ales Pilný, Pavel Kordík, Stefan Holiga, Petr Posík, R. Cerný, Richard Brzezny:
Analysis of Vestibular-Ocular Reflex by Evolutionary Framework. ICANN (1) 2008: 452-461 - [c8]Erik Saudek, Daniel Novák, Dita Wagnerová, Milan Hájek:
Analysis of Human Brain NMR Spectra in Vivo Using Artificial Neural Networks. ICANN (2) 2008: 517-526 - 2007
- [c7]Massimo Busuoli, T. Gallelli, Martin Haluzik, Vratislav Fabián, Daniel Novák, Olga Stepánková:
Entertainment and Ambient: A New OLDES' View. HCI (7) 2007: 511-519 - 2006
- [c6]Jan Brutovsky, Daniel Novák:
Low-cost motivated rehabilitation system for post-operation exercises. EMBC (Supplement) 2006: 6663-6666 - [c5]Martin Macas, Daniel Novák, Lenka Lhotská:
Constraints in Particle Swarm Optimization of Hidden Markov Models. IDEAL 2006: 1399-1406 - 2005
- [c4]Pau Micó, David Cuesta-Frau, Daniel Novák:
Clustering Improvement for Electrocardiographic Signals. ICIAP 2005: 892-899 - 2004
- [c3]Daniel Novák, Lenka Lhotská, David Cuesta-Frau, Pau Micó, Tarik Al-Ani, Yskandar Hamam, Mateo Aboy:
Morphology Analysis of Physiological Signals Using Hidden Markov Models. ICPR (3) 2004: 754-757 - [c2]Pau Micó, David Cuesta-Frau, Daniel Novák:
Preclustering of Electrocardiographic Signals Using Left-to-Right Hidden Markov Models. SSPR/SPR 2004: 939-947 - 2002
- [c1]David Cuesta-Frau, Juan-Carlos Perez-Cortes, Gabriela Andreu García, Daniel Novák:
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study. ICPR (3) 2002: 961-964
Coauthor Index
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last updated on 2024-08-25 19:08 CEST by the dblp team
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