Stefan Krämer


Ontology type: schema:Person     


Person Info

NAME

Stefan

SURNAME

Krämer

Publications in SciGraph latest 50 shown

  • 2019-04 Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2018-05-13 Graph Clustering with Local Density-Cut in DATABASE SYSTEMS FOR ADVANCED APPLICATIONS
  • 2018-05 Online multi-label dependency topic models for text classification in MACHINE LEARNING
  • 2018-05 Online estimation of discrete, continuous, and conditional joint densities using classifier chains in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2018-04 Modeling recurring concepts in data streams: a graph-based framework in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2017-09 Erratum zu: Brustrekonstruktion mit gestielten Lappen in JOURNAL FÜR ÄSTHETISCHE CHIRURGIE
  • 2017-09 The best privacy defense is a good privacy offense: obfuscating a search engine user’s profile in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2017 Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2017 Convolutional Neural Networks for the Identification of Regions of Interest in PET Scans: A Study of Representation Learning for Diagnosing Alzheimer’s Disease in ARTIFICIAL INTELLIGENCE IN MEDICINE
  • 2017 An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling in DISCOVERY SCIENCE
  • 2016-12 Filtered circular fingerprints improve either prediction or runtime performance while retaining interpretability in JOURNAL OF CHEMINFORMATICS
  • 2016-09 Brustrekonstruktion mit gestielten Lappen in JOURNAL FÜR ÄSTHETISCHE CHIRURGIE
  • 2016-07 Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath in SCIENTIFIC REPORTS
  • 2016 A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction in COMPUTATIONAL SUSTAINABILITY
  • 2016 Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2016 A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders in ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING
  • 2015-07 Translationale Medizin steht im Vordergrund in GYNÄKOLOGIE + GEBURTSHILFE
  • 2015-06 Reduktionsplastik nach Rezai in JOURNAL FÜR ÄSTHETISCHE CHIRURGIE
  • 2015-04 Efficient redundancy reduced subgroup discovery via quadratic programming in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 2015 Scavenger – A Framework for Efficient Evaluation of Dynamic and Modular Algorithms in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2014-12 CheS-Mapper 2.0 for visual validation of (Q)SAR models in JOURNAL OF CHEMINFORMATICS
  • 2014-07 Highlights aus Expertensicht in GYNÄKOLOGIE + GEBURTSHILFE
  • 2014-07 Relevanz des Resektionsrandes in der Brustkrebschirurgie in DER GYNÄKOLOGE
  • 2014-05 Online Induction of Probabilistic Real-Time Automata in JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
  • 2014 BMaD – A Boolean Matrix Decomposition Framework in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2013-12 Improving structural similarity based virtual screening using background knowledge in JOURNAL OF CHEMINFORMATICS
  • 2012-12 CheS-Mapper - Chemical Space Mapping and Visualization in 3D in JOURNAL OF CHEMINFORMATICS
  • 2012-08 Mammakarzinom in GYNÄKOLOGIE + GEBURTSHILFE
  • 2012 Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming in DISCOVERY SCIENCE
  • 2011-12 Predicting a small molecule-kinase interaction map: A machine learning approach in JOURNAL OF CHEMINFORMATICS
  • 2011-05 Efficient mining for structurally diverse subgraph patterns in large molecular databases in MACHINE LEARNING
  • 2011 Identity Uncertainty in ENCYCLOPEDIA OF MACHINE LEARNING
  • 2011 Inductive Database Approach to Graphmining in ENCYCLOPEDIA OF MACHINE LEARNING
  • 2011 Incremental Learning in ENCYCLOPEDIA OF MACHINE LEARNING
  • 2011 A Numerical Refinement Operator Based on Multi-Instance Learning in INDUCTIVE LOGIC PROGRAMMING
  • 2011 Instance-Based Learning in ENCYCLOPEDIA OF MACHINE LEARNING
  • 2011 Parallel Structural Graph Clustering in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2011 A Case Study of Stacked Multi-view Learning in Dementia Research in ARTIFICIAL INTELLIGENCE IN MEDICINE
  • 2011 Inductive Process Modeling in ENCYCLOPEDIA OF MACHINE LEARNING
  • 2011 Inductive Logic Programming in ENCYCLOPEDIA OF MACHINE LEARNING
  • 2010-11-18 SINDBAD and SiQL: Overview, Applications and Future Developments in INDUCTIVE DATABASES AND CONSTRAINT-BASED DATA MINING
  • 2010-07 Brusterhaltende Chirurgie des Mammakarzinoms unter ästhetischen Aspekten in JOURNAL FÜR ÄSTHETISCHE CHIRURGIE
  • 2010-07 Interpreting PET scans by structured patient data: a data mining case study in dementia research in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2010-07 Ästhetische und tumoradaptierte Reduktionsplastik in JOURNAL FÜR ÄSTHETISCHE CHIRURGIE
  • 2010-07 Alloplastische Brustrekonstruktion nach Mastektomie in JOURNAL FÜR ÄSTHETISCHE CHIRURGIE
  • 2010-07 Brustrekonstruktion nach prophylaktischer Mastektomie in JOURNAL FÜR ÄSTHETISCHE CHIRURGIE
  • 2010 Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships in DISCOVERY SCIENCE
  • 2010 Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung in DISCOVERY SCIENCE
  • 2010 Finding Relational Associations in HIV Resistance Mutation Data in INDUCTIVE LOGIC PROGRAMMING
  • 2010 Latent Structure Pattern Mining in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.5802.f", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.5963.9", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.5949.1", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.6936.a", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.6190.e", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.411097.a", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.491983.e", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.16149.3b", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.6582.9", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.420061.1", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.5252.0", 
            "type": "Organization"
          }
        ], 
        "familyName": "Kr\u00e4mer", 
        "givenName": "Stefan", 
        "id": "sg:person.01163477630.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163477630.27"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T14:57", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_670.json", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.01163477630.27'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.01163477630.27'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.01163477630.27'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.01163477630.27'


     

    This table displays all metadata directly associated to this object as RDF triples.

    36 TRIPLES      10 PREDICATES      21 URIs      7 LITERALS      2 BLANK NODES

    Subject Predicate Object
    1 sg:person.01163477630.27 schema:affiliation Nca925f4f5225438297e6abe721f7d8ab
    2 https://www.grid.ac/institutes/grid.16149.3b
    3 https://www.grid.ac/institutes/grid.411097.a
    4 https://www.grid.ac/institutes/grid.420061.1
    5 https://www.grid.ac/institutes/grid.491983.e
    6 https://www.grid.ac/institutes/grid.5252.0
    7 https://www.grid.ac/institutes/grid.5949.1
    8 https://www.grid.ac/institutes/grid.5963.9
    9 https://www.grid.ac/institutes/grid.6190.e
    10 https://www.grid.ac/institutes/grid.6582.9
    11 https://www.grid.ac/institutes/grid.6936.a
    12 schema:familyName Krämer
    13 schema:givenName Stefan
    14 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163477630.27
    15 schema:sdDatePublished 2019-03-07T14:57
    16 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    17 schema:sdPublisher Na121021a078e49109393eeea2fb27456
    18 sgo:license sg:explorer/license/
    19 sgo:sdDataset persons
    20 rdf:type schema:Person
    21 Na121021a078e49109393eeea2fb27456 schema:name Springer Nature - SN SciGraph project
    22 rdf:type schema:Organization
    23 Nca925f4f5225438297e6abe721f7d8ab schema:affiliation https://www.grid.ac/institutes/grid.5802.f
    24 sgo:isCurrent true
    25 rdf:type schema:OrganizationRole
    26 https://www.grid.ac/institutes/grid.16149.3b schema:Organization
    27 https://www.grid.ac/institutes/grid.411097.a schema:Organization
    28 https://www.grid.ac/institutes/grid.420061.1 schema:Organization
    29 https://www.grid.ac/institutes/grid.491983.e schema:Organization
    30 https://www.grid.ac/institutes/grid.5252.0 schema:Organization
    31 https://www.grid.ac/institutes/grid.5802.f schema:Organization
    32 https://www.grid.ac/institutes/grid.5949.1 schema:Organization
    33 https://www.grid.ac/institutes/grid.5963.9 schema:Organization
    34 https://www.grid.ac/institutes/grid.6190.e schema:Organization
    35 https://www.grid.ac/institutes/grid.6582.9 schema:Organization
    36 https://www.grid.ac/institutes/grid.6936.a schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...