74 citations
- Politecnico di TorinoIT21 papers
- Heinrich Heine University DüsseldorfDE2 papers
- National University of UzbekistanUZ2 papers
- Osaka City UniversityJP2 papers
- Tohoku UniversityJP2 papers
- Bharathidasan UniversityIN1 paper
- Brown UniversityUS1 paper
- Carl von Ossietzky Universität OldenburgDE1 paper
- City, University of LondonGB1 paper
- Clausthal University of TechnologyDE1 paper
- Institute of Problems of Mechanical EngineeringRU1 paper
- Kyoto UniversityJP1 paper
4 papers · 1 filter
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms
Pietro Barbiero, Giovanni Squillero, Alberto Tonda
A coreset is a subset of the training set, using which a machine learning algorithm obtains performances similar to what it would deliver if trained over the whole original data. C…
Sparse and Center Classifiers
Giuseppe C. Calafiore, Giulia Fracastoro
The nearest-centroid classifier is a simple linear-time classifier based on computing the centroids of the data classes in the training phase, and then assigning a new datum to the…
Automating concept-drift detection by self-evaluating predictive model degradation
Tania Cerquitelli, Stefano Proto, Francesco Ventura +2
A key aspect of automating predictive machine learning entails the capability of properly triggering the update of the trained model. To this aim, suitable automatic solutions to s…
The invisible power of fairness. How machine learning shapes democracy
Elena Beretta, Antonio Santangelo, Bruno Lepri +2
Many machine learning systems make extensive use of large amounts of data regarding human behaviors. Several researchers have found various discriminatory practices related to the…