D. Della Casa, G. John, LiveCodeLab 2.0 and its language LiveCodeLang, ACM SIGPLAN, FARM 2014 workshop. [pdf]

“We present LiveCodeLab 2.0, a web-based livecoding framework, and its language LiveCodeLang. We describe its operation, its connection with other livecoding frameworks, and its aspects related to functional programming.”

 

D. Della Casa, F.Masulli, M. Pardo, G. Sberveglieri, G. Valentini, Boosting applied to electronic nose data, LFTNC-SC 2001 – 2001 NATO ARW on Limits and Future Trends of Neural Computing, 2001 [pdf]

“We apply boosting to the discrimination of different types of coffee for espresso. […] As base learners multilayer perceptrons are used. The boosting algorithm was able to halve the classification error for the blends data and to diminish it from 21% to 18% for the more difficult monovarieties data set with confront to a single learner.”

 

D. Della Casa, F.Masulli, M. Pardo, G. Sberveglieri, G. Valentini, Multiple classifiers for electronic nose data, 8th International Symposium on Olfaction and Electronic Noses, Washington, 2001 [pdf]

“We apply a method -called boosting- for constructing a classifier out of a set of (base or weak) classifiers for the discrimination of two groups of coffees (blends and monovarieties).”