Discovering patterns in EEG-signals: Comparative study of a few methods View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

1993

AUTHORS

Miroslav Kubat , Doris Flotzinger , Gert Pfurtscheller

ABSTRACT

The objective of this paper is to draw the attention of the ML-researchers to the domain of data analysis. The issue is illustrated by an attractive case study—automatic classification of non-averaged EEG-signals. We applied several approaches and obtained best results from a combination of an ID3-like program with Bayesian learning.

PAGES

366-371

Book

TITLE

Machine Learning: ECML-93

ISBN

978-3-540-56602-1
978-3-540-47597-2

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-56602-3_152

DOI

http://dx.doi.org/10.1007/3-540-56602-3_152

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031928176


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Graz University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.410413.3", 
          "name": [
            "Ludwig-Boltzmann Institute of Medical Informatics and Neuroinformatics, Graz University of Technology, Brockmanngasse 41, 8010\u00a0Graz"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kubat", 
        "givenName": "Miroslav", 
        "id": "sg:person.016461026707.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016461026707.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Graz University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.410413.3", 
          "name": [
            "Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Brockmanngasse 41, 8010\u00a0Graz"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Flotzinger", 
        "givenName": "Doris", 
        "id": "sg:person.01217761534.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217761534.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Graz University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.410413.3", 
          "name": [
            "Ludwig-Boltzmann Institute of Medical Informatics and Neuroinformatics, Graz University of Technology, Brockmanngasse 41, 8010\u00a0Graz"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pfurtscheller", 
        "givenName": "Gert", 
        "id": "sg:person.01040327776.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040327776.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1006/jmca.1993.1030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045215463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/5.58325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061179721"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1993", 
    "datePublishedReg": "1993-01-01", 
    "description": "The objective of this paper is to draw the attention of the ML-researchers to the domain of data analysis. The issue is illustrated by an attractive case study\u2014automatic classification of non-averaged EEG-signals. We applied several approaches and obtained best results from a combination of an ID3-like program with Bayesian learning.", 
    "editor": [
      {
        "familyName": "Brazdil", 
        "givenName": "Pavel B.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/3-540-56602-3_152", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-540-56602-1", 
        "978-3-540-47597-2"
      ], 
      "name": "Machine Learning: ECML-93", 
      "type": "Book"
    }, 
    "name": "Discovering patterns in EEG-signals: Comparative study of a few methods", 
    "pagination": "366-371", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/3-540-56602-3_152"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "98197dba7aa09036cd0d450f7bd20fa2e98095594965d0843837dcb99ddad02e"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1031928176"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/3-540-56602-3_152", 
      "https://app.dimensions.ai/details/publication/pub.1031928176"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T13:15", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000055.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/3-540-56602-3_152"
  }
]
 

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/pub.10.1007/3-540-56602-3_152'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/3-540-56602-3_152'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/3-540-56602-3_152'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/3-540-56602-3_152'


 

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

86 TRIPLES      23 PREDICATES      29 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/3-540-56602-3_152 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author Nc8ee590b3e5042e5ac6059207c2c96c2
4 schema:citation https://doi.org/10.1006/jmca.1993.1030
5 https://doi.org/10.1109/5.58325
6 schema:datePublished 1993
7 schema:datePublishedReg 1993-01-01
8 schema:description The objective of this paper is to draw the attention of the ML-researchers to the domain of data analysis. The issue is illustrated by an attractive case study—automatic classification of non-averaged EEG-signals. We applied several approaches and obtained best results from a combination of an ID3-like program with Bayesian learning.
9 schema:editor Nf194238fdbfa47d088b8d3e3fa9a6847
10 schema:genre chapter
11 schema:inLanguage en
12 schema:isAccessibleForFree true
13 schema:isPartOf N7709ba50c65a41d59a1ac6c4c0f1f962
14 schema:name Discovering patterns in EEG-signals: Comparative study of a few methods
15 schema:pagination 366-371
16 schema:productId N6648a86fffb9415b84ea7c459cc65ef2
17 N958a197285a045bb96b7cc895c85c3ed
18 Nf9b835372ef8461b94cb5cd61afe5b03
19 schema:publisher N688f8c466d614fd79e2f93ffece63a2c
20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031928176
21 https://doi.org/10.1007/3-540-56602-3_152
22 schema:sdDatePublished 2019-04-15T13:15
23 schema:sdLicense https://scigraph.springernature.com/explorer/license/
24 schema:sdPublisher N38deb22ddc6d467bbf7240fb54bfa37a
25 schema:url http://link.springer.com/10.1007/3-540-56602-3_152
26 sgo:license sg:explorer/license/
27 sgo:sdDataset chapters
28 rdf:type schema:Chapter
29 N38deb22ddc6d467bbf7240fb54bfa37a schema:name Springer Nature - SN SciGraph project
30 rdf:type schema:Organization
31 N61eda2e26c5549008d8306c4f0c57974 schema:familyName Brazdil
32 schema:givenName Pavel B.
33 rdf:type schema:Person
34 N6648a86fffb9415b84ea7c459cc65ef2 schema:name doi
35 schema:value 10.1007/3-540-56602-3_152
36 rdf:type schema:PropertyValue
37 N688f8c466d614fd79e2f93ffece63a2c schema:location Berlin, Heidelberg
38 schema:name Springer Berlin Heidelberg
39 rdf:type schema:Organisation
40 N769acb21c09e422688778cb23f4bac94 rdf:first sg:person.01217761534.69
41 rdf:rest N8349f7969b6d478b8b66824d29d69337
42 N7709ba50c65a41d59a1ac6c4c0f1f962 schema:isbn 978-3-540-47597-2
43 978-3-540-56602-1
44 schema:name Machine Learning: ECML-93
45 rdf:type schema:Book
46 N8349f7969b6d478b8b66824d29d69337 rdf:first sg:person.01040327776.75
47 rdf:rest rdf:nil
48 N958a197285a045bb96b7cc895c85c3ed schema:name readcube_id
49 schema:value 98197dba7aa09036cd0d450f7bd20fa2e98095594965d0843837dcb99ddad02e
50 rdf:type schema:PropertyValue
51 Nc8ee590b3e5042e5ac6059207c2c96c2 rdf:first sg:person.016461026707.02
52 rdf:rest N769acb21c09e422688778cb23f4bac94
53 Nf194238fdbfa47d088b8d3e3fa9a6847 rdf:first N61eda2e26c5549008d8306c4f0c57974
54 rdf:rest rdf:nil
55 Nf9b835372ef8461b94cb5cd61afe5b03 schema:name dimensions_id
56 schema:value pub.1031928176
57 rdf:type schema:PropertyValue
58 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
59 schema:name Mathematical Sciences
60 rdf:type schema:DefinedTerm
61 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
62 schema:name Statistics
63 rdf:type schema:DefinedTerm
64 sg:person.01040327776.75 schema:affiliation https://www.grid.ac/institutes/grid.410413.3
65 schema:familyName Pfurtscheller
66 schema:givenName Gert
67 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040327776.75
68 rdf:type schema:Person
69 sg:person.01217761534.69 schema:affiliation https://www.grid.ac/institutes/grid.410413.3
70 schema:familyName Flotzinger
71 schema:givenName Doris
72 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217761534.69
73 rdf:type schema:Person
74 sg:person.016461026707.02 schema:affiliation https://www.grid.ac/institutes/grid.410413.3
75 schema:familyName Kubat
76 schema:givenName Miroslav
77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016461026707.02
78 rdf:type schema:Person
79 https://doi.org/10.1006/jmca.1993.1030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045215463
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1109/5.58325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061179721
82 rdf:type schema:CreativeWork
83 https://www.grid.ac/institutes/grid.410413.3 schema:alternateName Graz University of Technology
84 schema:name Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Brockmanngasse 41, 8010 Graz
85 Ludwig-Boltzmann Institute of Medical Informatics and Neuroinformatics, Graz University of Technology, Brockmanngasse 41, 8010 Graz
86 rdf:type schema:Organization
 




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


...