Labs

• Classification & Regression Methods

  • SVM slides Ioannis Tsamardinos
  • Tutorial on Support Vector Machine (SVM)
  • A Tutorial on Support Vector Machines for Pattern Recognition
  • Neural Networks 28/10/2016, University of British Columbia

  Applications (Indoor Localization)

  • Localization Dataset (Kaggle) with code
• Matlab tutorial
  • Tutorial 1 25-02-2014, George Fortetsanakis
  • Tutorial 2 27-02-2014, George Fortetsanakis
• Network management, SNMP, Network measurements and analysis
  • Tutorial 3 24-03-2014, Michalis Katsarakis
  • slides 2011, Tasos Alexandridis
• Machine learning tutorial
  • slides Paulos Charonyktakis & Maria Plakia
  • Matlab code Paulos Charonyktakis & Maria Plakia
• Fitting data into various probability distributions & comparing distributions
  • slides
  • code
• Spectrum Analysers
  • slides
• Android Project Overview
  • slides
• RFIDs
  • slides
• Android Tutorial
  • slides 2012, Michalis Katsarakis
  • 1st tutorial code 2012, Michalis Katsarakis
  • 2nd tutorial code: positioning 08-04-2014, Michalis Katsarakis
  • Monitoring Android Apps using the logcat and iperf tools 22-05-2015, Michalis Katsarakis
  • slides 2011, Manolis Surligas
  • code 2011, Manolis Surligas
• Wireless Sensor Networks
  • slides: part 1, part 2 08-04-2014, Nancy Panousopoulou
• Machine Learning
  • slides, 28-04-2014, Paulos Charonyktakis & Maria Plakia
• Ad-hoc routing protocols
  • slides
• Signal strength data collection
  • code