Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Peifeng Yin , Nilam Ram , Wang-Chien Lee , Conrad Tucker , Shashank Khandelwal , Marcel Salathé

ABSTRACT

There are millions of accounts in Twitter. In this paper, we categorize twitter accounts into two types, namely Personal Communication Account (PCA) and Public Dissemination Account (PDA). PCAs are accounts operated by individuals and are used to express that individual’s thoughts and feelings. PDAs, on the other hand, refer to accounts owned by non-individuals such as companies, governments, etc. Generally, Tweets in PDA (i) disseminate a specific type of information (e.g., job openings, shopping deals, car accidents) rather than sharing an individual’s personal life; and (ii) may be produced by non-human entities (e.g., bots). We aim to develop techniques for identifying PDAs so as to (i) facilitate social scientists to reduce “noise” in their study of human behaviors, and (ii) to index them for potential recommendation to users looking for specific types of information. Through analysis, we find these two types of accounts follow different temporal, spatial and textual patterns. Accordingly we develop probabilistic models based on these features to identify PDAs. We also conduct a series of experiments to evaluate those algorithms for cleaning the Twitter data stream. More... »

PAGES

163-175

References to SciGraph publications

  • 2008-06-05. Understanding individual human mobility patterns in NATURE
  • 2011. Detecting and Analyzing Automated Activity on Twitter in PASSIVE AND ACTIVE MEASUREMENT
  • 2010. Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach in DATA AND APPLICATIONS SECURITY AND PRIVACY XXIV
  • 2011. Spam Filtering in Twitter Using Sender-Receiver Relationship in RECENT ADVANCES IN INTRUSION DETECTION
  • 2011. Die Free or Live Hard? Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers in RECENT ADVANCES IN INTRUSION DETECTION
  • 2011. Identifying Automatic Posting Systems in Microblogs in PROGRESS IN ARTIFICIAL INTELLIGENCE
  • Book

    TITLE

    Advances in Knowledge Discovery and Data Mining

    ISBN

    978-3-319-06607-3
    978-3-319-06608-0

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-06608-0_14

    DOI

    http://dx.doi.org/10.1007/978-3-319-06608-0_14

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1010786204


    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/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Pennsylvania State University", 
              "id": "https://www.grid.ac/institutes/grid.29857.31", 
              "name": [
                "Department of Computer Science & Engineering, Pennsylvania State University, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yin", 
            "givenName": "Peifeng", 
            "id": "sg:person.013334364651.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013334364651.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pennsylvania State University", 
              "id": "https://www.grid.ac/institutes/grid.29857.31", 
              "name": [
                "Human Development and Psychology, Pennsylvania State University, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ram", 
            "givenName": "Nilam", 
            "id": "sg:person.01152452245.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152452245.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pennsylvania State University", 
              "id": "https://www.grid.ac/institutes/grid.29857.31", 
              "name": [
                "Department of Computer Science & Engineering, Pennsylvania State University, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Wang-Chien", 
            "id": "sg:person.010527727731.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010527727731.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pennsylvania State University", 
              "id": "https://www.grid.ac/institutes/grid.29857.31", 
              "name": [
                "School of Engineering Design Technology, Pennsylvania State University, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tucker", 
            "givenName": "Conrad", 
            "id": "sg:person.010634362757.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010634362757.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pennsylvania State University", 
              "id": "https://www.grid.ac/institutes/grid.29857.31", 
              "name": [
                "Department of Biology, Pennsylvania State University, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Khandelwal", 
            "givenName": "Shashank", 
            "id": "sg:person.01173311335.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173311335.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pennsylvania State University", 
              "id": "https://www.grid.ac/institutes/grid.29857.31", 
              "name": [
                "Department of Biology, Pennsylvania State University, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Salath\u00e9", 
            "givenName": "Marcel", 
            "id": "sg:person.0726232461.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726232461.50"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1145/1866307.1866311", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006722650"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-23644-0_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007937539", 
              "https://doi.org/10.1007/978-3-642-23644-0_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1978942.1978976", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008841514"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1920261.1920265", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013415795"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-19260-9_11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015565610", 
              "https://doi.org/10.1007/978-3-642-19260-9_11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-19260-9_11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015565610", 
              "https://doi.org/10.1007/978-3-642-19260-9_11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2020408.2020581", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016242694"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-24769-9_46", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024795415", 
              "https://doi.org/10.1007/978-3-642-24769-9_46"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-24769-9_46", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024795415", 
              "https://doi.org/10.1007/978-3-642-24769-9_46"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1656274.1656278", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028526411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-13739-6_25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029807094", 
              "https://doi.org/10.1007/978-3-642-13739-6_25"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-13739-6_25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029807094", 
              "https://doi.org/10.1007/978-3-642-13739-6_25"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/asi.21416", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033667663"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/asi.21416", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033667663"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2487788.2488027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034744760"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06958", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034823586", 
              "https://doi.org/10.1038/nature06958"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2020408.2020579", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040445944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1162/coli_a_00049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040708172"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2065023.2065039", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045228902"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-23644-0_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046636838", 
              "https://doi.org/10.1007/978-3-642-23644-0_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1871437.1871535", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049430653"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1202775", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062464504"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5210/fm.v15i1.2793", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072709664"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014", 
        "datePublishedReg": "2014-01-01", 
        "description": "There are millions of accounts in Twitter. In this paper, we categorize twitter accounts into two types, namely Personal Communication Account (PCA) and Public Dissemination Account (PDA). PCAs are accounts operated by individuals and are used to express that individual\u2019s thoughts and feelings. PDAs, on the other hand, refer to accounts owned by non-individuals such as companies, governments, etc. Generally, Tweets in PDA (i) disseminate a specific type of information (e.g., job openings, shopping deals, car accidents) rather than sharing an individual\u2019s personal life; and (ii) may be produced by non-human entities (e.g., bots). We aim to develop techniques for identifying PDAs so as to (i) facilitate social scientists to reduce \u201cnoise\u201d in their study of human behaviors, and (ii) to index them for potential recommendation to users looking for specific types of information. Through analysis, we find these two types of accounts follow different temporal, spatial and textual patterns. Accordingly we develop probabilistic models based on these features to identify PDAs. We also conduct a series of experiments to evaluate those algorithms for cleaning the Twitter data stream.", 
        "editor": [
          {
            "familyName": "Tseng", 
            "givenName": "Vincent S.", 
            "type": "Person"
          }, 
          {
            "familyName": "Ho", 
            "givenName": "Tu Bao", 
            "type": "Person"
          }, 
          {
            "familyName": "Zhou", 
            "givenName": "Zhi-Hua", 
            "type": "Person"
          }, 
          {
            "familyName": "Chen", 
            "givenName": "Arbee L. P.", 
            "type": "Person"
          }, 
          {
            "familyName": "Kao", 
            "givenName": "Hung-Yu", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-06608-0_14", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-319-06607-3", 
            "978-3-319-06608-0"
          ], 
          "name": "Advances in Knowledge Discovery and Data Mining", 
          "type": "Book"
        }, 
        "name": "Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter", 
        "pagination": "163-175", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-06608-0_14"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "3362dabe5bccd373d6ba0af9bf3e3ebab281accbcded7e044fe0639fc15b4672"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1010786204"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-06608-0_14", 
          "https://app.dimensions.ai/details/publication/pub.1010786204"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T19:07", 
        "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_8684_00000249.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-319-06608-0_14"
      }
    ]
     

    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.10.1007/978-3-319-06608-0_14'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-06608-0_14'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-06608-0_14'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-06608-0_14'


     

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

    186 TRIPLES      23 PREDICATES      46 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-06608-0_14 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N6953a903403d4efc852b28e30b2ac00e
    4 schema:citation sg:pub.10.1007/978-3-642-13739-6_25
    5 sg:pub.10.1007/978-3-642-19260-9_11
    6 sg:pub.10.1007/978-3-642-23644-0_16
    7 sg:pub.10.1007/978-3-642-23644-0_17
    8 sg:pub.10.1007/978-3-642-24769-9_46
    9 sg:pub.10.1038/nature06958
    10 https://doi.org/10.1002/asi.21416
    11 https://doi.org/10.1126/science.1202775
    12 https://doi.org/10.1145/1656274.1656278
    13 https://doi.org/10.1145/1866307.1866311
    14 https://doi.org/10.1145/1871437.1871535
    15 https://doi.org/10.1145/1920261.1920265
    16 https://doi.org/10.1145/1978942.1978976
    17 https://doi.org/10.1145/2020408.2020579
    18 https://doi.org/10.1145/2020408.2020581
    19 https://doi.org/10.1145/2065023.2065039
    20 https://doi.org/10.1145/2487788.2488027
    21 https://doi.org/10.1162/coli_a_00049
    22 https://doi.org/10.5210/fm.v15i1.2793
    23 schema:datePublished 2014
    24 schema:datePublishedReg 2014-01-01
    25 schema:description There are millions of accounts in Twitter. In this paper, we categorize twitter accounts into two types, namely Personal Communication Account (PCA) and Public Dissemination Account (PDA). PCAs are accounts operated by individuals and are used to express that individual’s thoughts and feelings. PDAs, on the other hand, refer to accounts owned by non-individuals such as companies, governments, etc. Generally, Tweets in PDA (i) disseminate a specific type of information (e.g., job openings, shopping deals, car accidents) rather than sharing an individual’s personal life; and (ii) may be produced by non-human entities (e.g., bots). We aim to develop techniques for identifying PDAs so as to (i) facilitate social scientists to reduce “noise” in their study of human behaviors, and (ii) to index them for potential recommendation to users looking for specific types of information. Through analysis, we find these two types of accounts follow different temporal, spatial and textual patterns. Accordingly we develop probabilistic models based on these features to identify PDAs. We also conduct a series of experiments to evaluate those algorithms for cleaning the Twitter data stream.
    26 schema:editor N5d486a2df5fd4f928fc173011efa72f4
    27 schema:genre chapter
    28 schema:inLanguage en
    29 schema:isAccessibleForFree false
    30 schema:isPartOf N0ba778084b00432db25fc9fafbb999d7
    31 schema:name Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter
    32 schema:pagination 163-175
    33 schema:productId N28dca72d028e476db8acdc36da025e4a
    34 N84e66a98a80a4479a437d0737d20e639
    35 Nb13f7e9e367441889e0975315431a1a0
    36 schema:publisher N75a4ed51242848a7ac49d6d87bf627b9
    37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010786204
    38 https://doi.org/10.1007/978-3-319-06608-0_14
    39 schema:sdDatePublished 2019-04-15T19:07
    40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    41 schema:sdPublisher N75b22c5442fa4d9886106581eed7c924
    42 schema:url http://link.springer.com/10.1007/978-3-319-06608-0_14
    43 sgo:license sg:explorer/license/
    44 sgo:sdDataset chapters
    45 rdf:type schema:Chapter
    46 N0ba778084b00432db25fc9fafbb999d7 schema:isbn 978-3-319-06607-3
    47 978-3-319-06608-0
    48 schema:name Advances in Knowledge Discovery and Data Mining
    49 rdf:type schema:Book
    50 N1908f8ca23f949cba6b394dc84348b3d rdf:first sg:person.01173311335.22
    51 rdf:rest Na738cd78712448cc87029b68d98ce7c4
    52 N288b6e1b21bb4593a246238bd91ee588 schema:familyName Kao
    53 schema:givenName Hung-Yu
    54 rdf:type schema:Person
    55 N28dca72d028e476db8acdc36da025e4a schema:name readcube_id
    56 schema:value 3362dabe5bccd373d6ba0af9bf3e3ebab281accbcded7e044fe0639fc15b4672
    57 rdf:type schema:PropertyValue
    58 N3affdbdc4a894221943dab6d5eb50c9c rdf:first Nb48374f264334fa3bb5d7d0930966d59
    59 rdf:rest N564cc664b31a4cc28a9d40f29e7bc34b
    60 N564cc664b31a4cc28a9d40f29e7bc34b rdf:first Nc1d2a04b4ae54dff975727bc8faa06c7
    61 rdf:rest Nb4ad3bf3bbb643f6986853138bf668b6
    62 N5d486a2df5fd4f928fc173011efa72f4 rdf:first Ne032614bbbb648f5a771532290f712e8
    63 rdf:rest Nea4a8047ac474b308dc11dcda308ee79
    64 N6953a903403d4efc852b28e30b2ac00e rdf:first sg:person.013334364651.70
    65 rdf:rest Ncebb02f1e99d4d3894c26131e079438b
    66 N75a4ed51242848a7ac49d6d87bf627b9 schema:location Cham
    67 schema:name Springer International Publishing
    68 rdf:type schema:Organisation
    69 N75b22c5442fa4d9886106581eed7c924 schema:name Springer Nature - SN SciGraph project
    70 rdf:type schema:Organization
    71 N76fd8ac046dd406ab2c74381ca3d1994 schema:familyName Ho
    72 schema:givenName Tu Bao
    73 rdf:type schema:Person
    74 N84e66a98a80a4479a437d0737d20e639 schema:name dimensions_id
    75 schema:value pub.1010786204
    76 rdf:type schema:PropertyValue
    77 Na738cd78712448cc87029b68d98ce7c4 rdf:first sg:person.0726232461.50
    78 rdf:rest rdf:nil
    79 Nb13f7e9e367441889e0975315431a1a0 schema:name doi
    80 schema:value 10.1007/978-3-319-06608-0_14
    81 rdf:type schema:PropertyValue
    82 Nb48374f264334fa3bb5d7d0930966d59 schema:familyName Zhou
    83 schema:givenName Zhi-Hua
    84 rdf:type schema:Person
    85 Nb4ad3bf3bbb643f6986853138bf668b6 rdf:first N288b6e1b21bb4593a246238bd91ee588
    86 rdf:rest rdf:nil
    87 Nc1d2a04b4ae54dff975727bc8faa06c7 schema:familyName Chen
    88 schema:givenName Arbee L. P.
    89 rdf:type schema:Person
    90 Ncebb02f1e99d4d3894c26131e079438b rdf:first sg:person.01152452245.24
    91 rdf:rest Nde2c6a4db70a4d76afcc819def9bc0a3
    92 Nde2c6a4db70a4d76afcc819def9bc0a3 rdf:first sg:person.010527727731.13
    93 rdf:rest Ne23b57959d0146ecb57cfecf0f41a64c
    94 Ne032614bbbb648f5a771532290f712e8 schema:familyName Tseng
    95 schema:givenName Vincent S.
    96 rdf:type schema:Person
    97 Ne23b57959d0146ecb57cfecf0f41a64c rdf:first sg:person.010634362757.18
    98 rdf:rest N1908f8ca23f949cba6b394dc84348b3d
    99 Nea4a8047ac474b308dc11dcda308ee79 rdf:first N76fd8ac046dd406ab2c74381ca3d1994
    100 rdf:rest N3affdbdc4a894221943dab6d5eb50c9c
    101 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    102 schema:name Information and Computing Sciences
    103 rdf:type schema:DefinedTerm
    104 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    105 schema:name Artificial Intelligence and Image Processing
    106 rdf:type schema:DefinedTerm
    107 sg:person.010527727731.13 schema:affiliation https://www.grid.ac/institutes/grid.29857.31
    108 schema:familyName Lee
    109 schema:givenName Wang-Chien
    110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010527727731.13
    111 rdf:type schema:Person
    112 sg:person.010634362757.18 schema:affiliation https://www.grid.ac/institutes/grid.29857.31
    113 schema:familyName Tucker
    114 schema:givenName Conrad
    115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010634362757.18
    116 rdf:type schema:Person
    117 sg:person.01152452245.24 schema:affiliation https://www.grid.ac/institutes/grid.29857.31
    118 schema:familyName Ram
    119 schema:givenName Nilam
    120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152452245.24
    121 rdf:type schema:Person
    122 sg:person.01173311335.22 schema:affiliation https://www.grid.ac/institutes/grid.29857.31
    123 schema:familyName Khandelwal
    124 schema:givenName Shashank
    125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173311335.22
    126 rdf:type schema:Person
    127 sg:person.013334364651.70 schema:affiliation https://www.grid.ac/institutes/grid.29857.31
    128 schema:familyName Yin
    129 schema:givenName Peifeng
    130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013334364651.70
    131 rdf:type schema:Person
    132 sg:person.0726232461.50 schema:affiliation https://www.grid.ac/institutes/grid.29857.31
    133 schema:familyName Salathé
    134 schema:givenName Marcel
    135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726232461.50
    136 rdf:type schema:Person
    137 sg:pub.10.1007/978-3-642-13739-6_25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029807094
    138 https://doi.org/10.1007/978-3-642-13739-6_25
    139 rdf:type schema:CreativeWork
    140 sg:pub.10.1007/978-3-642-19260-9_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015565610
    141 https://doi.org/10.1007/978-3-642-19260-9_11
    142 rdf:type schema:CreativeWork
    143 sg:pub.10.1007/978-3-642-23644-0_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007937539
    144 https://doi.org/10.1007/978-3-642-23644-0_16
    145 rdf:type schema:CreativeWork
    146 sg:pub.10.1007/978-3-642-23644-0_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046636838
    147 https://doi.org/10.1007/978-3-642-23644-0_17
    148 rdf:type schema:CreativeWork
    149 sg:pub.10.1007/978-3-642-24769-9_46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024795415
    150 https://doi.org/10.1007/978-3-642-24769-9_46
    151 rdf:type schema:CreativeWork
    152 sg:pub.10.1038/nature06958 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034823586
    153 https://doi.org/10.1038/nature06958
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1002/asi.21416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033667663
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1126/science.1202775 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062464504
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1145/1656274.1656278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028526411
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1145/1866307.1866311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006722650
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1145/1871437.1871535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049430653
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1145/1920261.1920265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013415795
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1145/1978942.1978976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008841514
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1145/2020408.2020579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040445944
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1145/2020408.2020581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016242694
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1145/2065023.2065039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045228902
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1145/2487788.2488027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034744760
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1162/coli_a_00049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040708172
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.5210/fm.v15i1.2793 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072709664
    180 rdf:type schema:CreativeWork
    181 https://www.grid.ac/institutes/grid.29857.31 schema:alternateName Pennsylvania State University
    182 schema:name Department of Biology, Pennsylvania State University, USA
    183 Department of Computer Science & Engineering, Pennsylvania State University, USA
    184 Human Development and Psychology, Pennsylvania State University, USA
    185 School of Engineering Design Technology, Pennsylvania State University, USA
    186 rdf:type schema:Organization
     




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


    ...