Schlemmer, Alexander

[["dc.bibliographiccitation.artnumber","20140093"],["dc.bibliographiccitation.issue","2034"],["dc.bibliographiccitation.journal","Philosophical Transactions of the Royal Society of London. A, Mathematical, Physical and Engineering Sciences"],["dc.bibliographiccitation.volume","373"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, S."],["dc.contributor.author","Wessel, N."],["dc.contributor.author","Penzel, Thomas"],["dc.date.accessioned","2018-11-07T10:00:56Z"],["dc.date.available","2018-11-07T10:00:56Z"],["dc.date.issued","2015"],["dc.description.abstract","Transition patterns between different sleep stages are analysed in terms of probability distributions of symbolic sequences for young and old subjects with and without sleep disorder. Changes of these patterns due to ageing are compared with variations of transition probabilities due to sleep disorder."],["dc.identifier.doi","10.1098/rsta.2014.0093"],["dc.identifier.isi","000346962100006"],["dc.identifier.pmid","25548271"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37911"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/120"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.issn","1471-2962"],["dc.relation.issn","1364-503X"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.title","Changes of sleep-stage transitions due to ageing and sleep disorder"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","157"],["dc.bibliographiccitation.lastpage","158"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Zwirnmann, Henning"],["dc.contributor.author","Zabel, Markus"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, Stefan"],["dc.date.accessioned","2019-02-26T15:08:20Z"],["dc.date.available","2019-02-26T15:08:20Z"],["dc.date.issued","2014"],["dc.description.abstract","We evaluate several machine learning algorithms in the context of long-term prediction of cardiac diseases. Results from applying K Nearest Neighbors Classifiers (KNN), Support Vector Machines (SVM) and Random Forests (RF) to data from a cardiological long-term study suggests that multivariate methods can significantly improve classification results. SVMs were found to yield the best results in Matthews Correlation Coefficient and are most stable with respect to a varying number of features."],["dc.identifier.doi","10.1109/ESGCO.2014.6847567"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57623"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/53"],["dc.language.iso","en"],["dc.notes.status","fcwi"],["dc.publisher","IEEE"],["dc.publisher.place","Piscataway, NJ"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.conference","8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)"],["dc.relation.eventend","2014-05-28"],["dc.relation.eventlocation","Trento, Italy"],["dc.relation.eventstart","2014-05-25"],["dc.relation.isbn","978-1-4799-3969-5"],["dc.relation.isbn","978-1-4799-3968-8"],["dc.relation.isbn","978-1-4799-3970-1"],["dc.relation.ispartof","2014 8th Conference of the European Study Group on Cardiovascoular Oscillations (ESGCO 2014)"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.title","Evaluation of Machine Learning Methods for the Long-Term Prediction of Cardiac Diseases"],["dc.type","conference_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

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[["dc.contributor.author","Spreckelsen, Florian"],["dc.contributor.author","Rüchardt, Baltasar"],["dc.contributor.author","Lebert, Jan"],["dc.contributor.author","Luther, Stefan"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Schlemmer, Alexander"],["dc.date.accessioned","2022-05-13T10:05:43Z"],["dc.date.available","2022-05-13T10:05:43Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.20944/preprints202004.0035.v1"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/107869"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/352"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.title","Guidelines for a Standardized File Structure for Scientific Data"],["dc.type","preprint"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Physiology"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Kottlarz, Inga"],["dc.contributor.author","Berg, Sebastian"],["dc.contributor.author","Toscano-Tejeida, Diana"],["dc.contributor.author","Steinmann, Iris"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Luther, Stefan"],["dc.contributor.author","Wilke, Melanie"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Schlemmer, Alexander"],["dc.date.accessioned","2021-04-14T08:29:50Z"],["dc.date.available","2021-04-14T08:29:50Z"],["dc.date.issued","2021"],["dc.description.abstract","In this study, ordinal pattern analysis and classical frequency-based EEG analysis methods are used to differentiate between EEGs of different age groups as well as individuals. As characteristic features, functional connectivity as well as single-channel measures in both the time and frequency domain are considered. We compare the separation power of each feature set after nonlinear dimensionality reduction using t-distributed stochastic neighbor embedding and demonstrate that ordinal pattern-based measures yield results comparable to frequency-based measures applied to preprocessed data, and outperform them if applied to raw data. Our analysis yields no significant differences in performance between single-channel features and functional connectivity features regarding the question of age group separation."],["dc.identifier.doi","10.3389/fphys.2020.614565"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82999"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-042X"],["dc.rights","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Extracting Robust Biomarkers From Multichannel EEG Time Series Using Nonlinear Dimensionality Reduction Applied to Ordinal Pattern Statistics and Spectral Quantities"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","057201"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Physical Review. E"],["dc.bibliographiccitation.volume","83"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Luther, Stefan"],["dc.date.accessioned","2018-11-07T08:56:06Z"],["dc.date.available","2018-11-07T08:56:06Z"],["dc.date.issued","2011"],["dc.description.abstract","Transient dynamics of spiral waves in a two-dimensional Barkley model is shown to be governed by pattern formation processes resulting in regions of synchronized activity separated by moving interfaces. During the transient the number of internally synchronized regions decreases as synchronization fronts move to the boundary of the simulated area. This spatiotemporal transient dynamics in an excitable medium is detected and visualized by means of an analysis of the local periodicity and by evaluation of prediction errors across the spatial domain. During the (long) transient both analyses show patterns that must not be misinterpreted as any information about (spatial) structure of the underlying (completely homogeneous) system."],["dc.identifier.doi","10.1103/PhysRevE.83.057201"],["dc.identifier.isi","000290899200003"],["dc.identifier.pmid","21728699"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/23059"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Physical Soc"],["dc.relation.issn","1550-2376"],["dc.relation.issn","1539-3755"],["dc.title","Synchronization patterns in transient spiral wave dynamics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Fitschen, Timm"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Hornung, Daniel"],["dc.contributor.author","tom Wörden, Henrik"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, Stefan"],["dc.date.accessioned","2022-05-13T10:03:07Z"],["dc.date.available","2022-05-13T10:03:07Z"],["dc.date.issued","2018-01-23"],["dc.description.abstract","Here we present CaosDB, a Research Data Management System (RDMS) designed to ensure seamless integration of inhomogeneous data sources and repositories of legacy data. Its primary purpose is the management of data from biomedical sciences, both from simulations and experiments during the complete research data lifecycle. An RDMS for this domain faces particular challenges: Research data arise in huge amounts, from a wide variety of sources, and traverse a highly branched path of further processing. To be accepted by its users, an RDMS must be built around workflows of the scientists and practices and thus support changes in workflow and data structure. Nevertheless it should encourage and support the development and observation of standards and furthermore facilitate the automation of data acquisition and processing with specialized software. The storage data model of an RDMS must reflect these complexities with appropriate semantics and ontologies while offering simple methods for finding, retrieving, and understanding relevant data. We show how CaosDB responds to these challenges and give an overview of the CaosDB Server, its data model and its easy-to-learn CaosDB Query Language. We briefly discuss the status of the implementation, how we currently use CaosDB, and how we plan to use and extend it."],["dc.identifier.arxiv","1801.07653"],["dc.identifier.doi","10.3390/data4020083"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/107868"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/199"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.title","CaosDB - Research Data Management for Complex, Changing, and Automated Research Workflows"],["dc.type","preprint"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","21"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","The Astrophysical Journal Supplement Series"],["dc.bibliographiccitation.volume","199"],["dc.contributor.author","Wakelam, V."],["dc.contributor.author","Herbst, E."],["dc.contributor.author","Loison, J.-C."],["dc.contributor.author","Smith, I. W. M."],["dc.contributor.author","Chandrasekaran, V."],["dc.contributor.author","Pavone, B."],["dc.contributor.author","Adams, N. G."],["dc.contributor.author","Bacchus-Montabonel, M.-C."],["dc.contributor.author","Bergeat, A."],["dc.contributor.author","Beroff, K."],["dc.contributor.author","Bierbaum, Veronica M."],["dc.contributor.author","Chabot, M."],["dc.contributor.author","Dalgarno, A."],["dc.contributor.author","van Dishoeck, E. F."],["dc.contributor.author","Faure, A."],["dc.contributor.author","Geppert, W. D."],["dc.contributor.author","Gerlich, D."],["dc.contributor.author","Galli, Daniele"],["dc.contributor.author","Hebrard, E. M."],["dc.contributor.author","Hersant, F."],["dc.contributor.author","Hickson, K. M."],["dc.contributor.author","Honvault, P."],["dc.contributor.author","Klippenstein, S. J."],["dc.contributor.author","Le Picard, S."],["dc.contributor.author","Nyman, G."],["dc.contributor.author","Pernot, P."],["dc.contributor.author","Schlemmer, S."],["dc.contributor.author","Selsis, F."],["dc.contributor.author","Sims, I. R."],["dc.contributor.author","Talbi, D."],["dc.contributor.author","Tennyson, Jonathan"],["dc.contributor.author","Troe, Juergen"],["dc.contributor.author","Wester, R."],["dc.contributor.author","Wiesenfeld, L."],["dc.date.accessioned","2018-11-07T09:12:53Z"],["dc.date.available","2018-11-07T09:12:53Z"],["dc.date.issued","2012"],["dc.description.abstract","We present a novel chemical database for gas-phase astrochemistry. Named the KInetic Database for Astrochemistry (KIDA), this database consists of gas-phase reactions with rate coefficients and uncertainties that will be vetted to the greatest extent possible. Submissions of measured and calculated rate coefficients are welcome, and will be studied by experts before inclusion into the database. Besides providing kinetic information for the interstellar medium, KIDA is planned to contain such data for planetary atmospheres and for circumstellar envelopes. Each year, a subset of the reactions in the database (kida.uva) will be provided as a network for the simulation of the chemistry of dense interstellar clouds with temperatures between 10 K and 300 K. We also provide a code, named Nahoon, to study the time-dependent gas-phase chemistry of zero-dimensional and one-dimensional interstellar sources."],["dc.identifier.doi","10.1088/0067-0049/199/1/21"],["dc.identifier.isi","000301119800021"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/9093"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27049"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Iop Publishing Ltd"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/239108/EU//VAMDC"],["dc.relation.issn","0067-0049"],["dc.relation.orgunit","Fakultät für Physik"],["dc.title","A KINETIC DATABASE FOR ASTROCHEMISTRY (KIDA)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Journal of Sleep Research"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Penzel, Thomas"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, S."],["dc.contributor.author","Wessel, N."],["dc.contributor.author","Fietze, Ingo"],["dc.date.accessioned","2018-11-07T10:09:09Z"],["dc.date.available","2018-11-07T10:09:09Z"],["dc.date.issued","2016"],["dc.format.extent","256"],["dc.identifier.isi","000383445201145"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/39605"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.publisher.place","Hoboken"],["dc.relation.conference","23rd Congress of the European-Sleep-Research-Society"],["dc.relation.eventlocation","Bologna, ITALY"],["dc.relation.issn","1365-2869"],["dc.relation.issn","0962-1105"],["dc.title","Sleep stage transitions with aging and sleep disorders"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","83"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Data"],["dc.bibliographiccitation.volume","4"],["dc.contributor.author","Fitschen, Timm"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Hornung, Daniel"],["dc.contributor.author","tom Wörden, Henrik"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, Stefan"],["dc.date.accessioned","2020-12-10T18:47:01Z"],["dc.date.available","2020-12-10T18:47:01Z"],["dc.date.issued","2019"],["dc.description.abstract","Here we present CaosDB, a Research Data Management System (RDMS) designed to ensure seamless integration of inhomogeneous data sources and repositories of legacy data. Its primary purpose is the management of data from biomedical sciences, both from simulations and experiments during the complete research data lifecycle. An RDMS for this domain faces particular challenges: Research data arise in huge amounts, from a wide variety of sources, and traverse a highly branched path of further processing. To be accepted by its users, an RDMS must be built around workflows of the scientists and practices and thus support changes in workflow and data structure. Nevertheless it should encourage and support the development and observation of standards and furthermore facilitate the automation of data acquisition and processing with specialized software. The storage data model of an RDMS must reflect these complexities with appropriate semantics and ontologies while offering simple methods for finding, retrieving, and understanding relevant data. We show how CaosDB responds to these challenges and give an overview of the CaosDB Server, its data model and its easy-to-learn CaosDB Query Language. We briefly discuss the status of the implementation, how we currently use CaosDB, and how we plan to use and extend it."],["dc.identifier.doi","10.3390/data4020083"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16675"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78611"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/275"],["dc.language.iso","en"],["dc.notes","GRO-Red/ SW 8.5.2020: Geprüft. Keine Anpassung erforderlich, da Preprint im Volltext verfügbar."],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.eissn","2306-5729"],["dc.relation.orgunit","Fakultät für Physik"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","CaosDB—Research Data Management for Complex, Changing, and Automated Research Workflows"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]