For applications where multiple stakeholders provide recommendations, a ...
Irregularly-sampled time series (ITS) are native to high-impact domains ...
Explainability helps users trust deep learning solutions for time series...
Early classification algorithms help users react faster to their machine...
Combining the preferences of many rankers into one single consensus rank...
Fair consensus building combines the preferences of multiple rankers int...
Transfer learning has been widely used in natural language processing th...
Foodborne illness is a serious but preventable public health problem – w...
One-shot learning has become an important research topic in the last dec...
Distance metric learning has attracted much attention in recent years, w...
Mining tasks over sequential data, such as clickstreams and gene sequenc...