Adriano L I Oliveira


Ontology type: schema:Person     


Person Info

NAME

Adriano L I

SURNAME

Oliveira

Publications in SciGraph latest 50 shown

  • 2018-04-25 Swarm optimization clustering methods for opinion mining in NATURAL COMPUTING
  • 2017 The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2017
  • 2016 Characterizing Opinion Mining: A Systematic Mapping Study of the Portuguese Language in COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE
  • 2016 Characterizing User-Generated Text Content Mining: A Systematic Mapping Study of the Portuguese Language in NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES
  • 2016 TOPIE: An Open-Source Opinion Mining Pipeline to Analyze Consumers’ Sentiment in Brazilian Portuguese in COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE
  • 2012 One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2012
  • 2012 A Dilation-Erosion-Linear Perceptron for Bovespa Index Prediction in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2012
  • 2012 A Hybrid Model for S&P500 Index Forecasting in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2012
  • 2009-02 Combining nearest neighbor data description and structural risk minimization for one-class classification in NEURAL COMPUTING AND APPLICATIONS
  • 2008 Enhancing RBF-DDA Algorithm’s Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules in ARTIFICIAL INTELLIGENCE IN THEORY AND PRACTICE II
  • 2008 A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule in ARTIFICIAL INTELLIGENCE IN THEORY AND PRACTICE II
  • 2005 A Comparative Study on Machine Learning Techniques for Prediction of Success of Dental Implants in MICAI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 2005 A Comparative Study on Support Vector Machine and Constructive RBF Neural Network for Prediction of Success of Dental Implants in PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS
  • 2004 Combining MLP and RBF Neural Networks for Novelty Detection in Short Time Series in MICAI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 2004 Combining Data Reduction and Parameter Selection for Improving RBF-DDA Performance in ADVANCES IN ARTIFICIAL INTELLIGENCE – IBERAMIA 2004
  • Affiliations

    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.411227.3", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }
        ], 
        "familyName": "Oliveira", 
        "givenName": "Adriano L  I", 
        "id": "sg:person.015377064421.35", 
        "identifier": {
          "name": "orcid_id", 
          "type": "PropertyValue", 
          "value": [
            "0000-0002-5614-229X"
          ]
        }, 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015377064421.35", 
          "https://orcid.org/0000-0002-5614-229X"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T14:02", 
        "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_1807.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.015377064421.35'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.015377064421.35'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.015377064421.35'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.015377064421.35'


     




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


    ...