Root Cause Identification for Collective Anomalies in Time Series given
an Acyclic Summary Causal Graph with Loops

Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops

7 March 2023

Charles K. Assaad

Imad Ez-zejjari

Papers citing "Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops"

16 / 16 papers shown

Title
Local Markov Equivalence and Local Causal Discovery for Identifying Controlled Direct Effects Timothée Loranchet Charles K. Assaad CML 42 0 0 05 May 2025
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data M. Asres C. Omlin the CMS-HCAL Collaboration 85 0 0 16 Dec 2024
Causal reasoning in difference graphs Charles K. Assaad CML 33 0 0 02 Nov 2024
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs Simon Ferreira Charles K. Assaad CML 46 0 0 31 Oct 2024
Root Cause Analysis Of Productivity Losses In Manufacturing Systems Utilizing Ensemble Machine Learning Stanislau Stankevich Brandon K. Sai Wojciech Dudek 24 1 0 31 Jul 2024
Identifying macro conditional independencies and macro total effects in summary causal graphs with latent confounding Simon Ferreira Charles K. Assaad CML 34 5 0 10 Jul 2024
Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of Concept Alexandre Trilla Rajesh Rajendran Ossee Yiboe Quentin Possamaï Nenad Mijatovic Jordi Vitrià 28 0 0 10 Jul 2024
Counterfactual-based Root Cause Analysis for Dynamical Systems Juliane Weilbach S. Gerwinn Karim Barsim Martin Fränzle 45 1 0 12 Jun 2024
Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion Charles K. Assaad CML 36 2 0 09 Jun 2024
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems Lei Zan Charles K. Assaad Emilie Devijver Éric Gaussier 34 1 0 09 Feb 2024
Identifiability of total effects from abstractions of time series causal graphs Charles K. Assaad Emilie Devijver Éric Gaussier Gregor Gössler Anouar Meynaoui CML 32 5 0 23 Oct 2023
Case Studies of Causal Discovery from IT Monitoring Time Series Ali Aït-Bachir Charles K. Assaad Christophe de Bignicourt Emilie Devijver Simon Ferreira Éric Gaussier Hosein Mohanna Lei Zan CML AI4TS 36 8 0 28 Jul 2023
Identifiability of Direct Effects from Summary Causal Graphs Simon Ferreira Charles K. Assaad CML 32 6 0 29 Jun 2023
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms D. Bystrova Charles K. Assaad Julyan Arbel Emilie Devijver Éric Gaussier W. Thuiller AI4TS CML 32 6 0 14 Jun 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 21 17 0 17 Mar 2023
On Root Cause Localization and Anomaly Mitigation through Causal Inference Xiao Han Lu Zhang Yongkai Wu Shuhan Yuan 31 7 0 08 Dec 2022