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.
- 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.
- 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.