3 papers
stat.ML2018
Unified recurrent neural network for many feature types
Alexander Stec, Diego Klabjan, Jean Utke
There are time series that are amenable to recurrent neural network (RNN) solutions when treated as sequences, but some series, e.g. asynchronous time series, provide a richer vari…
stat.ML2018
Nested multi-instance classification
Alexander Stec, Diego Klabjan, Jean Utke
There are classification tasks that take as inputs groups of images rather than single images. In order to address such situations, we introduce a nested multi-instance deep networ…
stat.ML2018
Forecasting Crime with Deep Learning
Alexander Stec, Diego Klabjan
The objective of this work is to take advantage of deep neural networks in order to make next day crime count predictions in a fine-grain city partition. We make predictions using…