Building Interpretable Models for Business Process Prediction using
Shared and Specialised Attention Mechanisms

Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms

3 September 2021

B. Wickramanayake

Catarina Moreira

Renuka Sindhgatta

Papers citing "Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms"

17 / 17 papers shown

Title
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network Zaharah Bukhsh Aaqib Saeed R. Dijkman AI4TS 24 49 0 01 Apr 2021
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark Efrén Rama-Maneiro J. Vidal Manuel Lama 54 77 0 24 Sep 2020
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring Nijat Mehdiyev Peter Fettke AI4TS 48 55 0 04 Sep 2020
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP Sven Weinzierl Sandra Zilker Jens Brunk K. Revoredo Martin Matzner J. Becker 53 27 0 18 Aug 2020
Explainable Predictive Process Monitoring Musabir Musabayli F. Maggi Williams Rizzi Josep Carmona Chiara Di Francescomarino 40 61 0 04 Aug 2020
Is Attention Interpretable? Sofia Serrano Noah A. Smith 101 683 0 09 Jun 2019
Exploiting Event Log Event Attributes in RNN Based Prediction Markku Hinkka Teemu Lehto Keijo Heljanko 42 28 0 15 Apr 2019
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 67 252 0 28 May 2018
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 51 154 0 08 May 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 124 3,957 0 06 Feb 2018
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek Thomas Wiegand K. Müller XAI VLM 72 1,189 0 28 Aug 2017
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark Irene Teinemaa Marlon Dumas M. Rosa F. Maggi 32 185 0 21 Jul 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,906 0 22 May 2017
Predicting Process Behaviour using Deep Learning Joerg Evermann Jana-Rebecca Rehse Peter Fettke 67 359 0 14 Dec 2016
Predictive Business Process Monitoring with LSTM Neural Networks Niek Tax I. Verenich M. Rosa Marlon Dumas 52 450 0 07 Dec 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 115 1,245 0 19 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.