Final program

Monday Morning

9.30 -13.30

Massimo Buscema

Theoretical and mathematical background of Artificial Adaptive Systems.

Foundation of Artificial Adaptive Systems

  1. Evolutionary Algorithms
  2. Artificial Neural Networks
    1. i.      Supervised (Validation)
    2. ii.      Unsupervised (Validation)
  3. Hybrid Systems
  4. Complex Organisms


Monday Afternoon


Massimo Buscema; Enzo Grossi


  • How to prepare  data sets for  artificial adaptive systems analysis
    • The four fundamental files (.nna/.hid/.var/.nnv)
    • Scaling and unfolding values
    • Variables augmentation
    • Real world examples (From Excel to ASCII)
      • Gang
      • Rooms
      • Iris
      • Digit
      • Gastritis
      • Classroom exercises
      • Question & answers
      • Small groups home works



Tuesday morning


Enzo Grossi


The emergency of complexity in medicine: philosophical and practical issues



Massimo Buscema

Semantic connectivity maps: Finding  out  Hidden Links among variables with Contractive Maps Algorithms  and minimum spanning tree ( Auto-CM )


Tuesday  Afternoon


Massimo Buscema; Enzo Grossi


  • Application of Auto-CM software to a number of real world data sets concerning complex diseases: Alzheimer; Amyotrophic Lateral Sclerosis; Autism; GERD, etc
  • Comparison among different algorithms
  • Question & answers
  • Small groups exercitations


Wednesday morning


Massimo Buscema; William Tastle

Classify and Predict:  Supervised Artificial Neural Networks (ANNs)


  • K-CM: The theory
  • How to use K-CM in real world datasets


Wednesday afternoon


Massimo Buscema; Enzo Grossi


  • TWIST algorithm: How to select dynamically the best dataset variables (MB)
  • Comparison and bench mark among supervised algorithms (MB)
  • A practical example of variables selection (EG)
  • Application of  K-CM and other ANNs  software to a number of real world data sets concerning complex diseases Amyotrophic Lateral Sclerosis; Autism; Myocardial Infarction(EG)
  • Question & Aswers

Small groups exercitations


Thursday morning


Massimo Buscema

Disentangling the Electrophysiological Signals Chaos in EEG.

Invariants extraction, preprocessing and features selection.

Application to Alzheimer disease in diagnosis and prognosis


  • IFast: Theory and results
  • DNB & TDM : theory and results


Thursday afternoon



Seeing the invisible: Active Connection Matrix( ACM)  family algorithms in diagnostic imaging

Massimo Buscema; Enzo Grossi


ACM : Theory (MB)

ACM: Practical applications (EG)


Friday morning

9.30- 13.30

Enzo Grossi; Massimo Buscema ; Weldon Lodwick

Location theory and TWC algorithm: finding out the hidden source of epidemics

  • Historical  Introduction (EG)
  • TWC Theory (MB)
  • Mathematical Consequences and application (WL)


Friday afternoon


T-SPACE application ( Semeion – NaIf )

T-Space is a platform developed by Semeion and NAIf Company (Na-if means Natural Interfaces ). It is  a novel way to investigate and to  extrapolate hidden information from spatial observations.



General discussion and future plans