157 citations · 173 across the 7 of their papers we have counts for
3 papers · 1 filter
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
Federico Giannini, Emanuele Della Valle
Internet of Things (IoT) Analytics often involves applying machine learning (ML) models on data streams. In such scenarios, traditional ML paradigms face obstacles related to conti…
cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
Federico Giannini, Giacomo Ziffer, Emanuele Della Valle
Dealing with an unbounded data stream involves overcoming the assumption that data is identically distributed and independent. A data stream can, in fact, exhibit temporal dependen…
Rebalancing Learning on Evolving Data Streams
Alessio Bernardo, Emanuele Della Valle, Albert Bifet
Nowadays, every device connected to the Internet generates an ever-growing stream of data (formally, unbounded). Machine Learning on unbounded data streams is a grand challenge due…