Computational Intelligence & Machine Learning Group
    Department of Computer Science - University of Pisa

 
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Datasets & Software

 


Description

The current research of the Group addresses the development of new Machine Learning methodologies.
Public datasets and software tools related to the research on Machine Learning recently developed by the group are lisetd below.





Data sets

  • ARTREE (tree data set) - Artificial Tree Generator: ARTREE page @ CIML

  • Indoor User Movement Prediction from RSS data Data Set: "Indoor" Data Set @ UCI Machine Learning Repository
    Related to the paper: D. Bacciu, P. Barsocchi, S. Chessa, C. Gallicchio, and A. Micheli, 'An experimental characterization of reservoir computing in ambient assisted living applications', Neural Computing and Applications, Springer-Verlag, vol. 24 (6), pp. 1451-1464, ISSN 0941-0643, 2014.

  • Activity Recognition system based on Multisensor data fusion (AReM): "AReM" Data Set @ UCI Machine Learning Repository
    Related to the paper: F. Palumbo, C. Gallicchio, R. Pucci and A. Micheli, 'Human activity recognition using multisensor data fusion based on Reservoir Computing', Journal of Ambient Intelligence and Smart Environments, 2016, 8 (2), pp. 87-107.

  • Balance Assessment Dataset: BalanceDataset @ CIML
    Related to the paper: D. Bacciu, S. Chessa, C. Gallicchio, A. Micheli, L. Pedrelli, E. Ferro, L. Fortunati, D. La Rosa, F. Palumbo, F. Vozzi, O. Parodi. "A learning system for automatic Berg Balance Scale score estimation", Engineering Applications of Artificial Intelligence, vol. 66 (2017), pp. 60-74.



Links at University of Pisa

- University of Pisa 

- Dept. of Computer Science 

 
Address

Dipartimento di Informatica
Largo B. Pontecorvo, 3
56127 Pisa
Italy

Tel: +39-050-2212700
Fax: +39-050-2212726
 

 
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