Tailoring Machine Learning for Process Mining

Tailoring Machine Learning for Process Mining

17 June 2023

Sylvio Barbon Junior

Ernesto Damiani

Wil M.P. van der Aalst

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Papers citing "Tailoring Machine Learning for Process Mining"

16 / 16 papers shown

Title
Scientific Machine Learning Benchmarks Jeyan Thiyagalingam Mallikarjun Shankar Geoffrey C. Fox Tony (Anthony) John Grenville Hey 56 114 0 25 Oct 2021
A Framework for Explainable Concept Drift Detection in Process Mining Jan Niklas Adams S. V. Zelst Lara Quack Kathrin Hausmann Wil M.P. van der Aalst Thomas Rose 30 24 0 27 May 2021
One Model to Rule them All: Towards Zero-Shot Learning for Databases Benjamin Hilprecht Carsten Binnig VLM 99 33 0 03 May 2021
A systematic literature review on state-of-the-art deep learning methods for process prediction Dominic A. Neu Johannes Lahann Peter Fettke AI4CE 68 132 0 22 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 385 6,592 0 26 Nov 2020
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark Efrén Rama-Maneiro J. Vidal Manuel Lama 91 77 0 24 Sep 2020
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs Z. Bozorgi Irene Teinemaa Marlon Dumas M. Rosa Artem Polyvyanyy CML AI4TS 36 45 0 03 Sep 2020
Handling Concept Drift for Predictions in Business Process Mining Lucas Baier J. Reimold Niklas Kühl AI4TS 35 16 0 12 May 2020
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 173 866 0 31 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 260 3,962 0 12 Jul 2019
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 132 2,401 0 27 Sep 2018
Predictive Business Process Monitoring with LSTM Neural Networks Niek Tax I. Verenich M. Rosa Marlon Dumas 65 450 0 07 Dec 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 198 10,934 0 03 Jul 2016
Event Abstraction for Process Mining using Supervised Learning Techniques Niek Tax N. Sidorova R. Haakma Wil M.P. van der Aalst AI4TS 31 89 0 23 Jun 2016
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 267 9,258 0 16 May 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 277 9,816 0 26 Mar 2014