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Herausgeber: 
  • Christopher Buckley
  • Lee Cooper
  • Min Zhou
  • Michael Kamp
  • Donato Malerba
  • Bodo Rosenhahn
  • Ricard Gavaldà
  • Sebastian Ventura
  • Andrea Ferretti
  • Mykola Pechenizkiy
  • João Gama
  • Rita Ribeiro
  • Giovanni Ponti
  • Przemyslaw Biecek
  • Adrien Bibal
  • Anna Monreale
  • Christine Largeron
  • Pedro M. Ferreira
  • Meng Sun
  • Philippe Fournier-Viger
  • Gregor Schiele
  • Valerio Bitetta
  • Ilaria Bordino
  • Riccardo Guidotti
  • Francesco Gullo
  • Yamuna Krishnamurthy
  • Irena Koprinska
  • Massimiliano Ruocco
  • Tim Verbelen
  • Pablo Lanillos
  • Michaela Blott
  • Holger Fröning
  • Franz Pernkopf
  • Lorenzo Severini
  • Linara Adilova
  • Ibéria Medeiros
  • Eirini Ntoutsi
  • Salvatore Rinzivillo
  • Jefrey Lijffijt
  • Bo Kang
  • Tiphaine Viard
  • Pascal Welke
  • Erlend Aune
  • Claudio Gallicchio
  • Guilherme Graça
  • Günther Schindler
  • Daniela Cialfi
  • Maxwell Ramstead
  • Giuseppina Andresini
  • Tassadit Bouadi
  • M. Saqib Nawaz
  • Benoît Frénay
  • Naghmeh Ghazaleh
  • Jonas Richiardi
  • Damian Roqueiro
  • Diego Saldana Miranda
  • Konstantinos Sechidis
  • Luis Galárraga
  • José Oramas
  • Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September  
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Februar 2022  
    Genre:  EDV / Informatik 
     
    ArtificialIntelligence / Bildverarbeitung / computationallinguistics / Computerhardware / ComputerNetworks / computersecurity / computersystems / Databases
    ISBN:  9783030937324 
    EAN-Code: 
    9783030937324 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 33 mm 
    Gewicht:  914 gr 
    Seiten:  612 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online.
    The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops:
    Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)
    Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)
    Workshop on Graph Embedding and Mining (GEM 2021)
    Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)
    Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)
    Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)
    Workshop on Bias and Fairness in AI (BIAS 2021)
    Workshop on Workshop on Active Inference (IWAI 2021)
    Workshop on Machine Learning for Cybersecurity (MLCS 2021)
    Workshop on Machine Learning in Software Engineering (MLiSE 2021)
    Workshop on MIning Data for financial applications (MIDAS 2021)
    Sixth Workshop on Data Science for Social Good (SoGood 2021)
    Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)
    Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)
    Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)

      



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