most citedDemand Forecasting using Long Short-Term Memory Neural Networks

7 citations · 13 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020★ 7 cited

Demand Forecasting using Long Short-Term Memory Neural Networks

Marta Gołąbek, Robin Senge, Rainer Neumann

In this paper we investigate to what extent long short-term memory neural networks (LSTMs) are suitable for demand forecasting in the e-grocery retail sector. For this purpose, uni…

cs.LG2019★ 6 cited

Rectifying Classifier Chains for Multi-Label Classification

Robin Senge, Juan José del Coz, Eyke Hüllermeier

Classifier chains have recently been proposed as an appealing method for tackling the multi-label classification task. In addition to several empirical studies showing its state-of…