Machine Learning Paradigms

Applications of Learning and Analytics in Intelligent Systems

  • George A. Tsihrintzis
  • Maria Virvou
  • Evangelos Sakkopoulos
  • Lakhmi C. Jain

Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 1)

Table of contents

  1. Front Matter
    Pages i-xx
  2. George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain
    Pages 1-6
  3. Learning and Analytics in Intelligent Medical Systems

    1. Front Matter
      Pages 7-7
    2. Anna Karen Garate Escamilla, Amir Hajjam El Hassani, Emmanuel Andres
      Pages 9-26
    3. Jose Liñares Blanco, Marcos Gestal, Julián Dorado, Carlos Fernandez-Lozano
      Pages 27-65
    4. E. Karampotsis, G. Dounias, J. Jantzen
      Pages 67-127
  4. Learning and Analytics in Intelligent Power Systems

    1. Front Matter
      Pages 129-129
    2. John A. Paravantis, Athanasios Ballis, Nikoletta Kontoulis, Vasilios Dourmas
      Pages 149-203
  5. Learning and Analytics in Performance Assessment

  6. Learning and Analytics in Intelligent Safety and Emergency Response Systems

    1. Front Matter
      Pages 313-313
    2. João Rico, José Barateiro, Juan Mata, António Antunes, Elsa Cardoso
      Pages 315-350
  7. Learning and Analytics in Intelligent Social Media

    1. Front Matter
      Pages 399-399
    2. Paraskevas Koukaras, Christos Tjortjis
      Pages 401-427
  8. Learning and Analytics in Intelligent Imagery and Video

  9. Learning and Analytics in Integrated Circuits

    1. Front Matter
      Pages 517-517
    2. John Liaperdos, Angela Arapoyanni, Yiorgos Tsiatouhas
      Pages 519-548

About this book


This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.


Computational Intelligence Machine Learning Data Analytics Intelligent Systems Data Collection

Editors and affiliations

  • George A. Tsihrintzis
    • 1
  • Maria Virvou
    • 2
  • Evangelos Sakkopoulos
    • 3
  • Lakhmi C. Jain
    • 4
  1. 1.University of PiraeusPireasGreece
  2. 2.Department of InformaticsUniversity of PiraeusPiraeusGreece
  3. 3.University of PiraeusPiraeusGreece
  4. 4.Faculty of Engineering and Information TechnologyCentre for Artificial Intelligence, University of Technology SydneyNSWAustralia

Bibliographic information