What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning

19 October 2021

Papers citing "What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning"

8 / 8 papers shown

Title
An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction Henryk Mustroph Michel Kunkler Stefanie Rinderle-Ma 78 0 0 27 May 2025
Process Outcome Prediction: CNN vs. LSTM (with Attention) Hans Weytjens Jochen De Weerdt AI4TS 48 44 0 14 Apr 2021
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network Zaharah Bukhsh Aaqib Saeed R. Dijkman AI4TS 19 48 0 01 Apr 2021
A systematic literature review on state-of-the-art deep learning methods for process prediction Dominic A. Neu Johannes Lahann Peter Fettke AI4CE 52 130 0 22 Jan 2021
Tensor Fusion Network for Multimodal Sentiment Analysis Amir Zadeh Minghai Chen Soujanya Poria Min Zhang Louis-Philippe Morency 64 1,227 0 23 Jul 2017
Predictive Business Process Monitoring with LSTM Neural Networks Niek Tax I. Verenich M. Rosa Marlon Dumas 47 446 0 07 Dec 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 350 7,381 0 12 Sep 2016
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks Samy Bengio Oriol Vinyals Navdeep Jaitly Noam M. Shazeer 133 2,031 0 09 Jun 2015