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020			_a9783030706500
024	7		_a10.1007/978-3-030-70650-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.758 _b2021 EB
245	0	0	_aFrom data to models and back : _b9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers _cedited by Juliana Bowles, Giovanna Broccia, Mirco Nanni
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (XII, 227 páginas) _b49 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aProgramming and Software Engineering _v12611
505	0		_aSynthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks -- Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation -- STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction -- A Simulation-Based Approach for the Behavioural Analysis of Cancer Pathways -- Discovering the Impact of Notifications on Social Network Addiction -- A Simulation Study on Demand Disruptions and Limited Resources for Healthcare Provision -- A Formal Model for Emulating the Generation of Human Knowledge in Semantic Memory -- Analysis of COVID-19 data with PRISM: Parameter Estimation and SIR Modelling -- A Formal Model for the Simulation and Analysis of Early Biofilm Formation -- Query Rewriting On Path Views Without Integrity Constraints -- Evaluating Trace Encoding Methods in Process Mining -- Semantic Annotations in Clinical Guidelines -- Deriving Performance Measures of Workflow in Radiation Therapy from Real-Time Data -- Handshape Classification in a Reverse Dictionary of Sign Languages for the Deaf.
520	3		_aThis book constitutes the refereed proceedings of the 9th International Symposium on From Data Models and Back, DataMod 2020, held virtually, in October 2020. The 11 full papers and 3 short papers presented in this book were selected from 19 submissions. The papers are grouped in these topical sections: machine learning; simulation-based approaches, and data mining and processing related approaches.
988			_aSpringer_Computer_2021
650		7	_2embne _aIngeniería del software _vCongresos y asambleas _9152630
700	1		_aBowles, Juliana _eeditor literario _0(orcid)0000-0002-5918-9114 _1https://orcid.org/0000-0002-5918-9114 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBroccia, Giovanna _eeditor literario _0(orcid)0000-0002-4737-5761 _1https://orcid.org/0000-0002-4737-5761 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aNanni, Mirco _eeditor literario _0(orcid)0000-0003-3534-4332 _1https://orcid.org/0000-0003-3534-4332 _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-70650-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2021 _dz _eb _zSI