61 citations · 68 across the 15 of their papers we have counts for
5 papers · 1 filter
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
Piotr S. Maciąg, Marzena Kryszkiewicz, Robert Bembenik +2
Unsupervised anomaly discovery in stream data is a research topic with many practical applications. However, in many cases, it is not easy to collect enough training data with labe…
Rank aggregation for non-stationary data streams
Ekhine Irurozki, Jesus Lobo, Aritz Perez +1
We consider the problem of learning over non-stationary ranking streams. The rankings can be interpreted as the preferences of a population and the non-stationarity means that the…
Spiking Neural Networks and Online Learning: An Overview and Perspectives
Jesus L. Lobo, Javier Del Ser, Albert Bifet +1
Applications that generate huge amounts of data in the form of fast streams are becoming increasingly prevalent, being therefore necessary to learn in an online manner. These condi…
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning
Jesus L. Lobo, Izaskun Oregi, Albert Bifet +1
Stream data processing has gained progressive momentum with the arriving of new stream applications and big data scenarios. One of the most promising techniques in stream learning…
Real-time Electrical Power Prediction in a Combined Cycle Power Plant
Jesus L. Lobo, Igor Ballesteros, Izaskun Oregi +1
The prediction of electrical power in combined cycle power plants is a key challenge in the electrical power and energy systems field. This power output can vary depending on envir…