Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Ana Maria Tomé"'
Publikováno v:
Data Science and Management, Vol 5, Iss 3, Pp 137-148 (2022)
In this study, we address a demanding time series forecasting problem that deals simultaneously with the following: (1) intermittent time series, (2) multi-step ahead forecasting, (3) time series with multiple seasonal periods, and (4) performance me
Externí odkaz:
https://doaj.org/article/16767e5e15d24a9cb874fcf368aa6eaa
Publikováno v:
PLoS ONE, Vol 11, Iss 12, p e0167957 (2016)
Lately, Ensemble Empirical Mode Decomposition (EEMD) techniques receive growing interest in biomedical data analysis. Event-Related Modes (ERMs) represent features extracted by an EEMD from electroencephalographic (EEG) recordings. We present a new a
Externí odkaz:
https://doaj.org/article/64566607f9e742cd8c7d2243d687335b
Autor:
Karema Al-Subari, Saad Al-Baddai, Ana Maria Tomé, Gregor Volberg, Rainer Hammwöhner, Elmar W Lang
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0119489 (2015)
We discuss a data-driven analysis of EEG data recorded during a combined EEG/fMRI study of visual processing during a contour integration task. The analysis is based on an ensemble empirical mode decomposition (EEMD) and discusses characteristic feat
Externí odkaz:
https://doaj.org/article/dd8a81a78bd24a8f94580d89b2810037
Publikováno v:
Ieee transactions on pattern analysis and machine intelligence, 42(10):8753557, 2567-2580. IEEE COMPUTER SOC
Service robots are expected to be more autonomous and work effectively in human-centric environments. This implies that robots should have special capabilities, such as learning from past experiences and real-time object category recognition. This pa
Publikováno v:
Journal of Manufacturing Systems. 54:62-73
The paper introduces a novel approach for the extraction of physically meaningful thermal component time series during the manufacturing of casting parts. We treat their extraction as Blind Source Separation (BSS) problem by exploiting process-relate
Data science highlights fields of study and research such as time series, which, although widely explored in the past, gain new perspectives in the context of this discipline. This chapter presents two approaches to time series forecasting, long shor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a76bd381cf85c16b1c820818fbc47c56
https://doi.org/10.4018/978-1-7998-6985-6.ch011
https://doi.org/10.4018/978-1-7998-6985-6.ch011
Autor:
Karema Al-Subari, Jordi Solé-Casals, Bernd Ludwig, Saad Al-Baddai, Ana Maria Tomé, Esteve Gallego-Jutglà, Pere Marti-Puig, Elmar Lang
Publikováno v:
Soft Computing. 24:3809-3827
Face recognition or verification remains a real challenge in the area of pattern recognition and image processing. The image acquisition process is a crucial step in which noise will inevitably be introduced, and in most cases this noise drastically
Autor:
H Wankerl, Elmar Lang, Ch Bert, Theresa Ida Götz, Ana Maria Tomé, Bernhard Hensel, Anke Meyer-Baese
Publikováno v:
Medical Physics. 46:2025-2030
Purpose High dose rate brachytherapy applies intense and destructive radiation. A treatment plan defines radiation source dwell positions to avoid irradiating healthy tissue. The study discusses methods to quantify any positional changes of source lo
Autor:
Sebastian M. Frank, Wilhelm M. Malloni, Stefan Wüst, Ana Maria Tomé, Gina-Isabelle Henze, Simon Wein, Elmar Lang, Mark W. Greenlee
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Scientific Reports
Scientific Reports
A central question in neuroscience is how self-organizing dynamic interactions in the brain emerge on their relatively static structural backbone. Due to the complexity of spatial and temporal dependencies between different brain areas, fully compreh
Autor:
Simon, Wein, Gustavo, Deco, Ana Maria, Tomé, Markus, Goldhacker, Wilhelm M, Malloni, Mark W, Greenlee, Elmar W, Lang
Publikováno v:
Computational Intelligence and Neuroscience
This short survey reviews the recent literature on the relationship between the brain structure and its functional dynamics. Imaging techniques such as diffusion tensor imaging (DTI) make it possible to reconstruct axonal fiber tracks and describe th