9th International Workshop on Biological Knowledge Discovery from Data (Workshop BIOKDD'18 )

     
    September 4, 2018
    09:00 - 10:30

    BIOKDD - Session 1

    Location : 7 (Lecture Hall 7)

  • New modeling ideas for the exact solution of the closest string problem
    Giuseppe Lancia, Marcello Dalpasso

  • Ensemble Clustering based Dimensional Reduction
    Loai Abdallah , Malik Yousef

  • Detecting Low Back Pain from Clinical Narratives using Machine Learning Approaches
    Akshay Rajaram, Brent Wolfram, Farhana Zulkernine, Michael Judd, David Barber

  •  
    September 4, 2018
    10:30 - 11:00

    Coffee Break

     
    September 4, 2018
    11:00 - 12:00

    Keynote Talk

    Location : 1 (Lecture Hall 1)

    Session Chair : Carlos Ordonez

  • "Smart Aging: Topics, Applications, Technologies, and Agenda"

    Il-Yeol Song, Drexel University Philadelphia, USA


  •  
    September 4, 2018
    12:00 - 13:30

    Lunch

     
    September 4, 2018
    13:30 - 15:00

    BIOKDD - Session 2

    Location : 7 (Lecture Hall 7)

  • Classifying big DNA methylation data: a gene oriented approach
    Emanuel Weitschek, Fabio Cumbo, Eleonora Cappelli, Giovanni Felici, Paola Bertolazzi

  • Classifying Leukemia and Gout Patients with Neural Networks
    Guryash Bahra, Lena Wiese

  • Incremental Wrapper based Random Forest Gene Subset Selection for Tumor Discernment
    Alia Fatima, Usman Qamar, Saad Rehman, Aiman Khan Nazir

  •  
    September 4, 2018
    15:00 - 15:30

    Coffee Break

     
    September 4, 2018
    15:30 - 17:00

    BIOKDD - Session 3

    Location : 7 (Lecture Hall 7)

  • Protein Identification as a Suitable Application for Fast Data Architecture
    Roman Zoun, Gabriel Campero Durand, Kay Schallert, Apoorva Patrikar, David Broneske, Wolfram Fenske, Robert Heyer, Dirk Benndorf, Gunter Saake

  • Mining geometrical motifs co-occurrences in the CMS dataset
    Mirto Musci, Marco Ferretti

  • Suitable overlapping set visualization techniques and their application to visualize biclustering results on gene expression data
    Haithem Aouabed, Rodrigo SantamarĂ­a, Mourad Elloumi