Toyota Technological Institute At Chicago View Homepage


Ontology type: grid:Education  | foaf:Organization     


Organization Info

NAME

Toyota Technological Institute At Chicago

HOMEPAGE

http://www.ttic.edu/

ADDRESS

http://www.grid.ac/institutes/grid.287491.1/address-0

Publications in SciGraph latest 20 shown

  • 2018-12-17 Author Correction: Predicting the clinical impact of human mutation with deep neural networks in NATURE GENETICS
  • 2018-08 Predicting the clinical impact of human mutation with deep neural networks in NATURE GENETICS
  • 2018-05 RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning in BMC BIOINFORMATICS
  • 2017 Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition in NEW ERA FOR ROBUST SPEECH RECOGNITION
  • 2017 Strategic Integration of Multiple Bioinformatics Resources for System Level Analysis of Biological Networks in BIOLOGICAL NETWORKS AND PATHWAY ANALYSIS
  • 2017 Integrated Intelligence for Human-Robot Teams in 2016 INTERNATIONAL SYMPOSIUM ON EXPERIMENTAL ROBOTICS
  • 2016-05 Metric extension operators, vertex sparsifiers and Lipschitz extendability in ISRAEL JOURNAL OF MATHEMATICS
  • 2016-05 Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields in SCIENTIFIC REPORTS
  • 2016 A Neural Approach to Blind Motion Deblurring in COMPUTER VISION – ECCV 2016
  • 2016 Learning Representations for Automatic Colorization in COMPUTER VISION – ECCV 2016
  • 2016 Capturing Dynamic Textured Surfaces of Moving Targets in COMPUTER VISION – ECCV 2016
  • 2014-05 Part and Attribute Discovery from Relative Annotations in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2014 Nonuniform Graph Partitioning with Unrelated Weights in AUTOMATA, LANGUAGES, AND PROGRAMMING
  • 2013-06 Pathwidth, trees, and random embeddings in COMBINATORICA
  • 2013 Online Non-clairvoyant Scheduling to Simultaneously Minimize All Convex Functions in APPROXIMATION, RANDOMIZATION, AND COMBINATORIAL OPTIMIZATION. ALGORITHMS AND TECHNIQUES
  • 2012 Planarizing an Unknown Surface in APPROXIMATION, RANDOMIZATION, AND COMBINATORIAL OPTIMIZATION. ALGORITHMS AND TECHNIQUES
  • 2010 Parameterized Memory Models and Concurrent Separation Logic in PROGRAMMING LANGUAGES AND SYSTEMS
  • 2009-07 Shape Based Detection and Top-Down Delineation Using Image Segments in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2009-04 Certifying Low-Level Programs with Hardware Interrupts and Preemptive Threads in JOURNAL OF AUTOMATED REASONING
  • 2009 Weak updates and separation logic in PROGRAMMING LANGUAGES AND SYSTEMS
  • JSON-LD is the canonical representation for SciGraph data.

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "foaf:homepage": [
          {
            "id": "http://www.ttic.edu/"
          }
        ], 
        "grid:establishedYear": [
          {
            "@value": "2003-01-01", 
            "type": "http://www.w3.org/2001/XMLSchema#gYear"
          }
        ], 
        "grid:hasAddress": [
          {
            "id": "http://www.grid.ac/institutes/grid.287491.1/address-0"
          }
        ], 
        "grid:hasWikidataId": [
          {
            "id": "http://www.wikidata.org/entity/Q7830888"
          }
        ], 
        "grid:id": [
          {
            "@value": "grid.287491.1"
          }
        ], 
        "grid:isni": [
          {
            "@value": "0000 0004 0613 2258"
          }
        ], 
        "grid:wikipediaPage": [
          {
            "id": "https://en.wikipedia.org/wiki/Toyota_Technological_Institute_at_Chicago"
          }
        ], 
        "id": "http://www.grid.ac/institutes/grid.287491.1", 
        "rdfs:label": "Toyota Technological Institute At Chicago", 
        "sdDataset": "grid", 
        "skos:prefLabel": [
          {
            "@value": "Toyota Technological Institute At Chicago"
          }
        ], 
        "type": [
          "http://www.grid.ac/ontology/Education", 
          "http://xmlns.com/foaf/0.1/Organization"
        ], 
        "vivo:abbreviation": [
          {
            "@value": "TTIC"
          }
        ]
      }
    ]
     

    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://www.grid.ac/institutes/grid.287491.1'

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

    curl -H 'Accept: application/n-triples' 'https://www.grid.ac/institutes/grid.287491.1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://www.grid.ac/institutes/grid.287491.1'

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

    curl -H 'Accept: application/rdf+xml' 'https://www.grid.ac/institutes/grid.287491.1'


     

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

    13 TRIPLES      12 PREDICATES      13 URIs      6 LITERALS

    Subject Predicate Object
    1 grid-institutes:grid.287491.1 sgo:sdDataset grid
    2 vivo:abbreviation TTIC
    3 grid:establishedYear 2003-01-01
    4 grid:hasAddress grid-institutes:grid.287491.1/address-0
    5 grid:hasWikidataId wd:Q7830888
    6 grid:id grid.287491.1
    7 grid:isni 0000 0004 0613 2258
    8 grid:wikipediaPage https://en.wikipedia.org/wiki/Toyota_Technological_Institute_at_Chicago
    9 rdf:type grid:Education
    10 foaf:Organization
    11 rdfs:label Toyota Technological Institute At Chicago
    12 skos:prefLabel Toyota Technological Institute At Chicago
    13 foaf:homepage http://www.ttic.edu/
     




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


    ...