• Generalife Palace
  • Alhambra View
  • Alhambra's Night
  • Granada's Panoramic (I)
  • Granada's Panoramic (II)
  • Granada's Cathedral
  • Moorish Windows
  • Court of the Lions
  • Costa Tropical of Granada
Generalife Palace1 Alhambra View2 Alhambra's Night3 Granada's Panoramic (I)4 Granada's Panoramic (II)5 Granada's Cathedral6 Moorish Windows7 Court of the Lions8 Costa Tropical of Granada9
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Special Session Proposals


  • SS1 Forecasting Evolution



    Organizer:
    Prof. Philip Gerrish, School of Biology, Georgia Institute of Technology, 310 Ferst Dr, Atlanta, GA 30332
    SS2 Forecasting Climate –Weather and Operation Impact on Reliability, Safety and Resilience of Critical Infrastructures



    Organizers:
    Prof. Krzysztof Kołowrocki, Gdynia Maritime University, Poland
    Prof. Joanna Soszyńska-Budny, Gdynia Maritime University, Poland
    SS3 Applications of time series for hydro-climatic data



    Possible tutorial: Monte Carlo methods for goodness-of-fit tests (B. Remillard)

    Aim: The goal is to bring together theoreticians and practitioners interested in time series with applications to hydro-climatic data.

    The topics covered will include long-memory, notions of persistence, estimation problems, hidden Markov models, goodness-of-fit, and detection of change-points.

    Organizers:
    Prof. Bruno Remillardi, Professor at HEC Montréal. Consultant at the National Bank of Canada
    Prof. Bouchra R. Nasri
    SS4 Times series analysis in geosciences a



    Motivation and objectives for the session.

    Times series are ubiquitous in geosciences. Time series analysis is amply used in hydrology, climatology, geology, environmental geosciences, geophysics, etc. The main objective of this session is the presentation of methodologies and cases studies dealing with the analysis of times series analysis in geosciences. New theoretical developments, new algorithms implementing known methodologies, new strategies for dealing with classical problems or classical methodologies dealing with new problems as well as case studies are appropriate for this special session.

    Organizers:
    Prof. Eulogio Pardo-Igúzquiza, Professor at Instituto Geológico y Minero de España (IGME)
    Prof. Francisco Javier Rodríguez-Tovar, Depart. Estratigrafía y Paleontología, University of Granada, Spain.
    SS5 Reliability of Automotive Components Evolution



    Organizers:
    Prof. Peter Gloesekoetter, Fachbereich Elektrotechnik und Informatik, Stegerwaldstraße 39, 48565 Steinfurt, Germany.
    Prof. Bernd Burchard, Elmos Semiconductor AG, Germany.
    SS6 Quantum Computing



    Organizers:
    Prof. Peter Gloesekoetter, Fachbereich Elektrotechnik und Informatik, Stegerwaldstraße 39, 48565 Steinfurt, Germany.
    Prof. Bernd Burchard, Elmos Semiconductor AG, Germany.
    SS7 Computational Intelligence methods for Time Series

    Within the field of science and engineering, it is very common to have data arranged in the form of time series data which must be subsequently analyzed, modeled and classified with the eventual goal of predicting future values. The literature shows that all these tasks related to time series can be undertaken using computational intelligence methods. In fact, new and further computational intelligence approaches, their efficiency and their comparison to statistical methods and other fact-checked computational intelligence methods, is a significant topic in academic and professional projects and works.

    Therefore, this special session aims at showing to our research community high quality and state of the art computational intelligence (and statistical) related works, applied to time series data and their tasks: analysis, forecasting, classification, and clustering. Furthermore, the experts can, from the starting point that the works shown provide, discuss different solutions and research issues for these topics.

    The topics of interest include but are not limited to:

    Computational Intelligence (CI) techniques applied to

    • time series analysis
    • time series modeling
    • time series forecasting
    • time series classification
    • time series clustering
    • statistical and CI techniques for time series, comparative evaluation and/or novel propositions
    • Organizer:
      Prof. Dr. Héctor Pomares , Dep. Computer Architecture and Computer Technology, University of Granada, Spain
      Prof. Dr. German Gutierrez , Dep. Computer Science, E.P.S. University Carlos III of Madrid, Spain
    SS8 Structural Time Series Models

    SS9 Recent Developments on Time-Series Modelling.