Nec Corporation

Jihed Khiari

Luis Moreira-Matias

Amal Saadallah

Bernard Zenko

Saso Dzeroski

A method for ensemble machine learning includes: receiving input data and input models, the input models each having learning properties; generating perturbed data by adding noise to the input data; performing a landmarking operation on the perturbed data to generate meta-features that correlate with the learning properties of the input models; generating decision trees based on the input models and the meta-features.

Method and system for model integration in ensemble learning

A method for providing dispatching services for an on-demand transportation (ODT) service includes determining that a predictive assignment message should be transmitted to a vehicle, generating, in response to the determining that a predictive assignment should be transmitted to a vehicle, the predictive assignment message, and transmitting, to the vehicle, the predictive assignment message. Generating the predictive assignment message uses one or more prediction models computed from historical and real-time ODT service data.

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Heidelberg, Germany

Jihed Khiari