An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction

27 May 2025

Papers citing "An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction"

13 / 13 papers shown

Title
What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning István Ketykó F. Mannhardt Marwan Hassani B. V. Dongen AI4TS 16 10 0 19 Oct 2021
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences Farbod Taymouri M. Rosa S. Erfani 34 26 0 15 Feb 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 215 1,893 0 12 Nov 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 185 1,388 0 21 Oct 2019
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring I. Verenich Marlon Dumas M. Rosa F. Maggi Irene Teinemaa AI4TS 27 150 0 08 May 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 123 1,273 0 07 Nov 2017
Deep and Confident Prediction for Time Series at Uber Lingxue Zhu N. Laptev BDL AI4TS 119 344 0 06 Sep 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 81 2,080 0 13 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 317 4,667 0 15 Mar 2017
Predicting Process Behaviour using Deep Learning Joerg Evermann Jana-Rebecca Rehse Peter Fettke 64 353 0 14 Dec 2016
Predictive Business Process Monitoring with LSTM Neural Networks Niek Tax I. Verenich M. Rosa Marlon Dumas 47 444 0 07 Dec 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 140 1,644 0 16 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 550 9,233 0 06 Jun 2015