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Bibliography

aGrUM/pyAgrum Citations

This page is built using Google Scholar (here and here) or manually if we find papers that use aGrUM but do not cite one of our references: (‡) at the end of the title.

❝ To cite aGrUM/pyAgrum, please use:
aGrUM/pyAgrum : a Toolbox to Build Models and Algorithms for Probabilistic Graphical Models in Python

Ducamp et al, International Conference on Probabilistic Graphical Models, Sep 2020, Skørping, Denmark.

BibTeX

Total citations: 140

Citations by year

2026
1
2025
23
2024
34
2023
20
2022
20
2021
25
2020
3
2019
5
2018
5
2017
2
2015
1

Citations by categories

Bayesian Network
24
Medicine
19
Modeling
16
Causality
14
Classification And Explainability
8
Robotic
8
Decision Support
7
Database
6
Intelligent Tutoring System
6
Diagnostic
5
Monitoring
5
Software
5
Bio Informatic
4
Forensic
4
Optimization
3
Risk Management
3
Epistemology
1
Finance
1
Statistics
1

Bayesian Network

Total citations: 24

1
2017
1
2018
1
2020
8
2021
4
2022
1
2023
3
2024
5
2025
  • [ 2025 ] - "A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools" , Canonaco, Francesco and Gaudillo, Joverlyn and Astrologo, Nicole and Stella, Fabio and Acerbi, Enzo , Frontiers in Systems Biology , vol. Volume 5 - 2025
  • [ 2025 ] - "Beyond Representing and Reasoning in Quantum Bayesian networks" , Fathallah, Walid
  • [ 2025 ] - "Differentiable Constraint-Based Causal Discovery" , Jincheng Zhou and Mengbo Wang and Anqi He and Yumeng Zhou and Hessam Olya and Murat Kocaoglu and Bruno Ribeiro
  • [ 2025 ] - "Probabilistic causal graphs as categorical data synthesizers: Do they do better than Gaussian Copulas and Conditional Tabular GANs?" , Olha Shaposhnyk and Noor Abid and Mouri Zakir and Svetlana Yanushkevich
  • [ 2025 ] - "AIA: A Customized Multi-Core RISC-V SoC for Discrete Sampling Workloads in 16 nm" , Zhao, Shirui and Shah, Nimish and Meert, Wannes and Verhelst, Marian , IEEE Journal of Solid-State Circuits , pp. 1--14
  • [ 2024 ] - "A full DAG score-based algorithm for learning causal bayesian networks with latent confounders" , Gonzales, Christophe and Valizadeh, Amir-Hosein , arXiv preprint arXiv:2408.11181
  • [ 2024 ] - "bnRep: A repository of Bayesian networks from the academic literature" , Manuele Leonelli
  • [ 2024 ] - "Approximate inference on optimized quantum Bayesian networks" , Walid Fathallah and Nahla Ben Amor and Philippe Leray , International Journal of Approximate Reasoning , vol. 175 , pp. 109307
  • [ 2023 ] - "Efficient search for relevance explanations using MAP-independence in Bayesian networks" , Enrique Valero-Leal and Concha Bielza and Pedro Larrañaga and Silja Renooij , International Journal of Approximate Reasoning , pp. 108965
  • [ 2022 ] - "A Hybrid Algorithm for Learning Causal Networks using Uncertain Experts' Knowledge" , Gonzales, Christophe and Journe, Axel and Mabrouk, Ahmed , in International Conference on Probabilistic Graphical Models , pp. 241--252
  • [ 2022 ] - "Apprentissage de structure de réseau bayésien sous contraintes en présence de connaissances d'experts" , Gonzales, Christophe and Journe, Axel and Mabrouk, Ahmed , JIAF , pp. 55
  • [ 2022 ] - "Apprentissages dans les réseaux bayésiens à base de copules non-paramétriques" , Lasserre, Marvin , no. 2022SORUS029 , Sorbonne University
  • [ 2022 ] - "Constraint-Based Learning for Non-Parametric Continuous Bayesian Networks" , Lebrun, Régis and Lasserre, Marvin and Wuillemin, Pierre-Henri
  • [ 2021 ] - "Representing Relationships between Variables from Discrete, Continuous and Mixed Data with Graphical Models" , Dogan, Haluk , The University of Nebraska-Lincoln
  • [ 2021 ] - "PROCOP: probabilistic rules compilation and optimisation" , Ducamp, Gaspard
  • [ 2021 ] - "Une Représentation Efficace en Tenseurs de Faible Rang pour les Algorithmes dans les Modeles Graphiques Probabilistes Complexes" , Ducamp, Gaspard and Bonnard, Philippe and Nouy, Anthony and Wuillemin, Pierre-Henri
  • [ 2021 ] - "Constraint-Based Bayesian Network Structure Learning using Uncertain Experts' Knowledge" , Gonzales, Christophe and Journe, Axel and Mabrouk, Ahmed , in The International FLAIRS Conference Proceedings , vol. 34
  • [ 2021 ] - "Apprentissage de modéles continus à grandes dimensions en utilisant l'information mutuelle et les réseaux bayésiens de copules" , Lasserre, Marvin and Lebrun, Régis and Wuillemin, Pierre-Henri , in 10èmes Journées Francophones sur les Réseaux Bayésiens et les Modéles Graphiques Probabilistes
  • [ 2021 ] - "Constraint-based learning for non-parametric continuous bayesian networks" , Lasserre, Marvin and Lebrun, Régis and Wuillemin, Pierre-Henri , Annals of Mathematics and Artificial Intelligence , vol. 89 , no. 10 , pp. 1035--1052 , Springer
  • [ 2021 ] - "Learning continuous high-dimensional models using mutual information and copula bayesian networks" , Lasserre, Marvin and Lebrun, Régis and Wuillemin, Pierre-Henri , in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 35 , no. 13 , pp. 12139--12146
  • [ 2021 ] - "sparta: Sparse tables and their algebra with a view towards high dimensional graphical models" , Lindskou, Mads and Højsgaard, Søren and Eriksen, Poul Svante and Tvedebrink, Torben , arXiv preprint
  • [ 2020 ] - "An efficient low-rank tensors representation for algorithms in complex probabilistic graphical models" , Ducamp, Gaspard and Bonnard, Philippe and Wuillemin, Pierre-Henri and others , in International Conference on Probabilistic Graphical Models , pp. 173--184
  • [ 2018 ] - "Improving probabilistic rules compilation using prm" , Ducamp, Gaspard and Bonnard, Philippe and de Sainte Marie, Christian and Gonzales, Christophe and Wuillemin, Pierre-Henri , in RuleML+ RR Doctoral Consortium 2018 (2nd International Joint Conference on Rules and Reasoning)
  • [ 2017 ] - "Raisonnement incertain pour les régles métier" , Agli, Hamza , Sorbonne université

Medicine

Total citations: 19

3
2022
3
2023
11
2024
2
2025
  • [ 2025 ] - "A simulated annealing-based Bayesian network structure optimization framework for late morbidity prediction with a large prospective dataset" , Stenhouse, Kailyn and McGeachy, Philip and Spampinato, Sofia and Tanderup, Kari and Kirchheiner, Kathrin and Martell, Kevin and Quirk, Sarah and Viswanathan, Akila N. and Roumeliotis, Michael , Medical Physics , vol. n/a , no. n/a
  • [ 2025 ] - "Bridging the gap between hepatocellular carcinoma management guidelines and personalised medicine: a Bayesian network study" , Wang, Yi-Chun and Bulte, Daniel and Brady, Michael , Frontiers in Bioinformatics , vol. Volume 5 - 2025
  • [ 2024 ] - "Classification probabiliste pour la prédiction et l'explication d'événements de santé défavorables et évitables en EHPAD" , Charon, Clara , no. 2024SORUS200
  • [ 2024 ] - "One Month Prediction of Pressure Ulcers in Nursing Home Residents With Bayesian Networks" , Clara Charon and Pierre-Henri Wuillemin and Charlotte Havreng-Théry and Joël Belmin , Journal of the American Medical Directors Association
  • [ 2024 ] - "Colorectal cancer risk mapping through Bayesian Networks" , Daniel Corrales and Alejandro Santos and Susana Lòpez and Alejandro Lucìa and David Rìos Insua
  • [ 2024 ] - "Continuous Optimization of a Hierarchical Bayesian Network for Friedreich's Ataxia Severity Classification" , Dissanayake, Sahan and Krishna, Ragil and Pathirana, Pubudu N and Horne, Malcolm K and Smulewicz, David J and Corben, Louise A , in 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , pp. 1--4
  • [ 2024 ] - "Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: a UKRI Global Challenges Research Fund (GCRF) Action Against Stunting Hub protocol paper" , Rosenstock, Todd S and Yet, Barbaros , BMJ Paediatrics Open , vol. 8 , no. Suppl 1 , BMJ Publishing Group
  • [ 2024 ] - "Applications of Machine Learning to the High-Dose-Rate Cervical Brachytherapy Workflow: Applicator Prediction and Late Toxicity Modelling" , Stenhouse, Kailyn
  • [ 2024 ] - "Using Machine Learning Approaches for Risk Prediction and Stratification in Healthcare" , Toffaha, Khaled
  • [ 2024 ] - "Construction and validation of an algorithm to separate focal and generalised epilepsy using clinical variables: A comparison of machine learning approaches" , Victor Patterson and David H. Glass and Shambhu Kumar and Sarah Misbah El-Sadig and Inaam Mohamed and Rahba El-Amin and Mamta Singh , Epilepsy & Behavior , vol. 155 , pp. 109793
  • [ 2024 ] - "Application of machine learning to assess the influence of microstructure on twin nucleation in Mg alloys" , Yang, Biaobiao and Vassilev-Galindo, Valentin and Llorca, Javier , npj Computational Materials , vol. 10 , no. 1 , pp. 26
  • [ 2024 ] - "Probabilistic Causal Data Modeling of Barriers to Accessibility for Persons with Disabilities in Canada" , Zakir, Mouri , University of Calgary
  • [ 2024 ] - "A Causal Approach to Investigating Accessibility Experiences of Persons with Disabilities" , Zakir, Mouri and Wolbring, Gregor and Yanushkevich, Svetlana , in 2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS) , pp. 1--8
  • [ 2023 ] - "Improving Pressure Ulcers Prediction in Nursing Homes with ML Algorithm" , Charon, Clara and Wuillemin, Pierre-Henri and Belmin, Joël , in MIE 2023 , vol. 302
  • [ 2023 ] - "Réseaux bayésiens pour la prédiction d'escarre chez les personnes âgés en institution" , Charon, Clara and Wuillemin, Pierre-Henri and Belmin, Joël , in JFRB 2023: 11èmes Journées Francophones sur les Réseaux Bayésiens et les Modéles Graphiques Probabilistes
  • [ 2023 ] - "Bayesian Networks for Modelling the Respiratory System and Predicting Hospitalizations" , Lopo Martinez, Victor
  • [ 2022 ] - "Assessment of tissue toxicity risk in breast radiotherapy using Bayesian networks" , Ciunkiewicz, Philip and Roumeliotis, Michael and Stenhouse, Kailyn and McGeachy, Philip and Quirk, Sarah and Grendarova, Petra and Yanushkevich, Svetlana , Medical Physics , vol. 49 , no. 6 , pp. 3585--3596 , Wiley Online Library
  • [ 2022 ] - "Improved Design of Bayesian Networks for Modelling Toxicity Risk in Breast Radiotherapy using Dynamic Discretization" , Ciunkiewicz, Philip and Yanushkevich, Svetlana and Roumeliotis, Michael and Stenhouse, Kailyn and McGeachy, Philip and Quirk, Sarah and Grendarova, Petra , in 2022 International Joint Conference on Neural Networks (IJCNN) , pp. 01--08
  • [ 2022 ] - "Building an Artificial Intelligence Framework for Hypertension Diagnosis: A Use Case of the Problem List Curation" , Shamavu, Ketemwabi Yves , University of Nebraska

Modeling

Total citations: 16

1
2017
1
2018
2
2019
1
2022
4
2023
2
2024
5
2025
  • [ 2025 ] - "Auto-ADMET: An Effective and Interpretable AutoML Method for Chemical ADMET Property Prediction" , Alex G. C. de Sá and David B. Ascher
  • [ 2025 ] - "Uncertainty analysis of the durability of Guyanese wood fiber insulation panels using a Credal Network (‡)" , Baudrit, Cédric and Hamzah, Hajjar and Fernandez, Christophe and Moreau, Jérôme and Michaud, Franck and Candelier, Kévin and Damay, Jérémie and Day, Arnaud and Duborper, Alexis and Coureau, Jean-Luc and Vignon, Pierre and Bossu, Julie
  • [ 2025 ] - "Bridging Modeling and Domain Expertise Through Visualization: A Case Study on Bread-Making with Bayesian Networks" , Johnson, Omi H and Munch, Melanie and Kansou, Kamal and Baudrit, Cedric and Bezerianos, Anastasia and Boukhelifa, Nadia , in Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems , Association for Computing Machinery
  • [ 2025 ] - "From the COVID-19 Pandemic to the Mental Health of the Philippines: Modelling the Cascade of Disasters using an Influence Diagram" , Santos, Gabriel Lorenzo and Montecillo, Paul James and Sevilleja, Jesus Emmanuel and Jose, Will and Platero, Janinalaine and Tuason, M Teresa and Güss, C Dominik and Bongolan, Vena Pearl A , medRxiv , pp. 2025--05 , Cold Spring Harbor Laboratory Press
  • [ 2025 ] - "Explaining Complex ML Models to Domain Experts Using LLM & Visualization: An Exploration in the French Breadmaking Industry" , Twitchell, Briggs and Katsirelos, George and Bezerianos, Anastasia and Boukhelifa, Nadia , in Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems , Association for Computing Machinery
  • [ 2024 ] - "Approach Based on Bayesian Network and Ontology for Identifying Factors Impacting the States of People with Psychological Problems from Data on Social Media", booktitle="Model and Data Engineering" , Ellouze, Mourad and Belguith, Lamia Hadrich , pp. 128--141 , Springer Nature Switzerland
  • [ 2024 ] - "Probabilistic modelling of tidal inlets" , Laan, Jorick
  • [ 2023 ] - "Causal Dynamic Bayesian Networks for Simulation Metamodeling" , Amaranath, Pracheta and Haas, Peter J. and Jensen, David and Witty, Sam , in 2023 Winter Simulation Conference (WSC) , pp. 746--757
  • [ 2023 ] - "Clinical Intervention Effectiveness Estimation through Dynamic Bayesian Network" , Bregoli, Alessandro and Neri, Luca and Usvyat, Len and Bellocchio, Francesco , in Proceedings of the 2nd Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023)
  • [ 2023 ] - "Conception d'un Outil de Diagnostic: Application à l'Essai de Panification en Industrie Boulangére" , Munch, Melanie and Baudrit, Cedric and Kansou, Kamal and Fernandez, Christophe , in JFRB 2023: 11èmes Journées Francophones sur les Réseaux Bayésiens et les Modéles Graphiques Probabilistes
  • [ 2023 ] - "Conception des blocs de terre comprimée guidée par l'intelligence artificielle" , Nassar, Sarah and Saliba, Jacqueline and Baudrit, Cédric and Saiyouri, Nadia , Academic Journal of Civil Engineering , vol. 41 , no. 1 , pp. 313--322
  • [ 2022 ] - "Identifier et reconnaitre des essences de bois à l'aide d'un réseau Bayésien basé sur des indicateurs macroscopiques" , Baudrit, Cédric and Michaud, Franck and Fernandez, Christophe and Munch, M and LIMBHA, Ecole Supérieure du Bois , in IC'22 Journées francophones d'Ingénierie des Connaissances
  • [ 2019 ] - "Uncertainty processing and risk monitoring in construction projects using hierarchical probabilistic relational models" , Baudrit, Cédric and Taillandier, Franck and Tran, Thi Thuy Phuong and Breysse, Denys , Computer-Aided Civil and Infrastructure Engineering , vol. 34 , no. 2 , pp. 97--115 , Wiley Online Library
  • [ 2019 ] - "Application of decision support systems for advanced equipment selection in construction" , Marcher, Carmen and Giusti, Andrea and Schimanski, Christoph P and Matt, Dominik T , in International Conference on Cooperative Design, Visualization and Engineering , pp. 229--235
  • [ 2018 ] - "Prendre en compte l'humain en génie civil, la modélisation face au défi de la complexité" , Taillandier, Franck Sfiligoï , Université de Bordeaux
  • [ 2017 ] - "Learning probabilistic relational models using an ontology of transformation processes" , Munch, Mélanie and Wuillemin, Pierre-Henri and Manfredotti, Cristina and Dibie, Juliette and Dervaux, Stephane , in OTM Confederated International Conferences" On the Move to Meaningful Internet Systems" , pp. 198--215

Causality

Total citations: 14

3
2022
3
2023
5
2024
2
2025
1
2026

Classification And Explainability

Total citations: 8

3
2021
1
2022
1
2023
1
2024
2
2025
  • [ 2025 ] - "Interpreting Machine Learning Pipelines Produced by Evolutionary AutoML for Biochemical Property Prediction" , de Sá, Alex G. C. and Pappa, Gisele L. and Freitas, Alex A. and Ascher, David B. , in Proceedings of the Genetic and Evolutionary Computation Conference Companion , pp. 1944–1952 , Association for Computing Machinery
  • [ 2025 ] - "Use of Bayesian networks in Brazil high school educational database: analysis of the impact of COVID-19 on ENEM in Pará between 2019 and 2022" , Santos, Sandio Maciel Dos and Silva, Marcelino Silva da and França Lobato, Fábio Manoel and Francês, Carlos Renato Lisboa , Frontiers in Big Data , vol. 8 , pp. 1485493 , Frontiers Media SA
  • [ 2024 ] - "Enhancing Assurance of AI-enabled Systems through Uncertainty Quantification" , El Mekkaoui, Sara and Agrell, Christian and Hafver, Andreas and Dijkstra, Harmen , in Proceedings of the 2024 8th International Conference on Advances in Artificial Intelligence , pp. 107--113
  • [ 2023 ] - "Interpreting Predictive Models through Causality: A Query-Driven Methodology" , Ali, Mahdi Hadj and Le Biannic, Yann and Wuillemin, Pierre-Henri , in The International FLAIRS Conference Proceedings , vol. 36
  • [ 2022 ] - "Learning Bayesian Networks for the Prediction of Unfavorable Health Events in Nursing Homes" , Charon, Clara and Wuillemin, Pierre-Henri and Belmin, Joël , in Challenges of Trustable AI and Added-Value on Health , vol. 294 , pp. 147--148 , IOS Press
  • [ 2021 ] - "Réseaux Bayésiens pour la Prédiction d'événements de Santé Défavorables en EHPAD (établissement d'Hébergement pour Personnes Âgées Dépendantes)" , Charon, Clara and Wuillemin, Pierre-Henri and Belmin, Joël , in 10èmes Journées Francophones sur les Réseaux Bayésiens et les Modéles Graphiques Probabilistes (JFRB 2021)
  • [ 2021 ] - "Réseaux bayésiens et valeurs de Shapley" , Hadj Ali, Mahdi and Le Biannic, Yann and Wuillemin, Pierre-Henri , in 10èmes Journée Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB 2021)
  • [ 2021 ] - "Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier" , Kuzmanić Skelin, Ana and Vojković, Lea and Mohović, Dani and Zec, Damir , Transactions on Maritime Science , vol. 10 , no. 02 , pp. 330--347 , Pomorski fakultet u Splitu

Robotic

Total citations: 8

2
2018
2
2021
1
2023
1
2024
2
2025
  • [ 2025 ] - "Argumentation in recommender dialogue agents (ARDA): An unexpected journey from Pragmatics to conversational agents" , Di Maro, Maria and Di Bratto, Martina and Mennella, Sabrina and Origlia, Antonio and Cutugno, Francesco , Open Linguistics , vol. 11 , no. 1 , pp. 20250052 , De Gruyter
  • [ 2025 ] - "Grasping causality for the explanation of criticality for automated driving" , Koopmann, Tjark and Putze, Lina and Westhofen, Lukas and Gansch, Roman and Adee, Ahmad and Neurohr, Christian , IEEE Access , IEEE
  • [ 2024 ] - "A Linguistically Motivated Approach to Hybrid Conversational AI with the FANTASIA Plugin" , Origlia, Antonio and Di Maro, Maria , in Proceedings of the 24th ACM International Conference on Intelligent Virtual Agents , pp. 1--3
  • [ 2023 ] - "Recognition Using Multi-Modal Data Fusion" , Irfan, Bahar and Belpaeme, Tony
  • [ 2021 ] - "Multi-modal open world user identification" , Irfan, Bahar and Ortiz, Michael Garcia and Lyubova, Natalia and Belpaeme, Tony , ACM Transactions on Human-Robot Interaction (THRI) , vol. 11 , no. 1 , pp. 1--50 , ACM New York, NY
  • [ 2021 ] - "On the Design of a Decision Support System for Robotic Equipment Adoption in Construction Processes" , Marcher, Carmen and Giusti, Andrea and Matt, Dominik T , Applied Sciences , vol. 11 , no. 23 , pp. 114--115 , MDPI
  • [ 2018 ] - "Multi-modal open-set person identification in hri" , Irfan, Bahar and Lyubova, Natalia and Garcia Ortiz, M and Belpaeme, Tony
  • [ 2018 ] - "Autonomous and Online Generation of Skills Inferring Actions Adapted to Low-Level and High-Level Contextual States" , Maestre, Carlos , Sorbonne université

Decision Support

Total citations: 7

2
2021
1
2022
4
2024
  • [ 2024 ] - "Risk-Averse Decision Support for Optimal Use of Electric Vehicles" , Borth, Michael and Kupper, Frank and Mulder, Lars and Willems, Frank , in 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) , pp. 104--109
  • [ 2024 ] - "Designing a Theoretically Motivated Animation System for Environment Aware Virtual Humans" , Origlia, Antonio and Di Maro, Maria , Proceedings of AVICH
  • [ 2024 ] - "Linguistics-based dialogue simulations to evaluate argumentative conversational recommender systems" , Di Bratto, Martina and Origlia, Antonio and Di Maro, Maria and Mennella, Sabrina , User Modeling and User-Adapted Interaction
  • [ 2024 ] - "Aligning to Human Decision-Makers in Military Medical Triage" , Molineaux, Matthew and Weber, Rosina O. and Floyd, Michael W. and Menager, David and Larue, Othalia and Addison, Ursula and Kulhanek, Ray and Reifsnyder, Noah and Rauch, Christopher and Mainali, Mallika and Sen, Anik and Goel, Prateek and Karneeb, Justin and Turner, JT and Meyer, John , in Case-Based Reasoning Research and Development , pp. 371--387 , Springer Nature Switzerland
  • [ 2022 ] - "Towards better flood risk management using a Bayesian network approach" , Wessels, Gert and Botha, Natasha and Koen, Hildegarde and Botha, Nicolene and van Eden, Beatrice , MATEC Web of Conferences , vol. 370 , pp. 1--15
  • [ 2021 ] - "Personalized Arterovenous Fistula Management through Utility Maximization with Influence Diagram." , Bregoli, Alessandro and Neri, Luca and Botler, Max and Schumacher, Erik and Peralta, Ricardo and Ponce, Pedro and Stuard, Stefano and Bellocchio, Francesco , in SMARTERCARE@ AI∗ IA , pp. 61--66
  • [ 2021 ] - "Decision Support for Infection Outbreak Analysis: the case of the Diamond Princess cruise ship" , Oliveira, Helder CR and Shmerko, Vlad and Yanushkevich, Svetlana N , in 2021 IEEE Symposium Series on Computational Intelligence (SSCI) , pp. 1--8

Database

Total citations: 6

1
2020
2
2021
1
2022
2
2024

Intelligent Tutoring System

Total citations: 6

1
2015
1
2019
1
2023
3
2025

Diagnostic

Total citations: 5

1
2018
1
2021
1
2022
1
2023
1
2024
  • [ 2024 ] - "Fitness Assessment of AI-Based Systems" , Borth, Michael and De Oliveira Filho, Julio and Van der Ploeg, Chris , in 2024 Prognostics and System Health Management Conference (PHM) , pp. 235--240
  • [ 2023 ] - "Enhancing Fault Diagnosis in Cyber-Physical Systems : A Model-Based Approach with Bayesian Networks" , Mustafa Hayri {Bilgin}
  • [ 2022 ] - "Model-based Probabilistic Diagnostics of Cyber-Physical Systems" , Guus {Grievink}
  • [ 2021 ] - "Embedding Diagnosability of Complex Industrial Systems Into the Design Process Using a Model-Based Methodology" , Barbini, Leonardo and Bratosin, Carmen and Nägele, Thomas , in PHM Society European Conference , vol. 6 , no. 1 , pp. 9--9
  • [ 2018 ] - "Application of bayesian reasoning for fault diagnosis over a controller of a software defined network" , Benayas de los Santos, Fernando , Telecomunicacion

Monitoring

Total citations: 5

1
2019
1
2020
2
2021
1
2024
  • [ 2024 ] - "REAL-SAP: Real-time Evidence Aware Liable Safety Assessment for Perception in Autonomous Driving" , Sun, Chen and Ning, Minghao and Deng, Zejian and Khajepour, Amir , IEEE Transactions on Vehicular Technology , pp. 1--14
  • [ 2021 ] - "A unifying framework and comparative evaluation of statistical and machine learning approaches to non-specific syndromic surveillance" , Kulessa, Moritz and Mencìa, Eneldo Loza and Fürnkranz, Johannes , Computers , vol. 10 , no. 3 , pp. 32 , MDPI
  • [ 2021 ] - "Epidemic Attack on the Aircraft Carrier Theodore Roosevelt: Bridging the Gaps in Emergency Management" , Lai, Kenneth and Yanushkevich, Svetlana N and Shmerko, Vlad P , The Journal of Defense Modeling and Simulation , SAGE Publications London, England
  • [ 2020 ] - "Dynamic bayesian networks based abnormal event classifier for nuclear power plants in case of cyber security threats" , Vaddi, Pavan Kumar and Pietrykowski, Michael C and Kar, Diptendu and Diao, Xiaoxu and Zhao, Yunfei and Mabry, Timothy and Ray, Indrajit and Smidts, Carol , Progress in Nuclear Energy , vol. 128 , pp. 103479 , Elsevier
  • [ 2019 ] - "Uncertainty processing and risk monitoring in construction projects using hierarchical probabilistic relational models" , Baudrit, Cédric and Taillandier, Franck and Tran, Thi Thuy Phuong and Breysse, Denys , Computer-Aided Civil and Infrastructure Engineering , vol. 34 , no. 2 , pp. 97--115 , Wiley Online Library

Software

Total citations: 5

1
2021
2
2022
1
2024
  • [ 2024 ] - "Explainable Artificial Intelligence and Process Mining Applications for Healthcare: Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings" , Valero-Leal, Enrique and Larrañaga, Pedro and Bielza, Concha , pp. 41 , Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain enrique. valero@ upm. es
  • [ 2022 ] - "BayesianSafety-An Open-Source Package for Causality-Guided, Multi-model Safety Analysis" , Maier, Robert and Mottok, Jürgen , in Computer Safety, Reliability, and Security: 41st International Conference, SAFECOMP 2022, Munich, Germany, September 6--9, 2022, Proceedings , pp. 17--30
  • [ 2022 ] - "Developing Embodied Conversational Agents in the Unreal Engine: The FANTASIA Plugin" , Origlia, Antonio and Di Bratto, Martina and Di Maro, Maria and Mennella, Sabrina , in Proceedings of the 30th ACM International Conference on Multimedia , pp. 6950--6951
  • [ 2021 ] - "PyCID: A Python Library for Causal Influence Diagrams" , Fox, James and Everitt, Tom and Carey, Ryan and Langlois, Eric and Abate, Alessandro and Wooldridge, Michael , SciPy
  • "dbnR: Gaussian Dynamic Bayesian Network Learning and Inference in R" , Quesada, David and Larrañaga, Pedro and Bielza, Concha

Bio Informatic

Total citations: 4

1
2019
2
2021
1
2023
  • [ 2023 ] - "ProbExplainer: A Library for Unified Explainability of Probabilistic Models and an Application in Interneuron Classification" , Valero-Leal, Enrique and Larrañaga, Pedro and Bielza, Concha , in International Workshop on Explainable Artificial Intelligence in Healthcare , pp. 41--51
  • [ 2021 ] - "Elucidation of dynamic microRNA regulations in cancer progression using integrative machine learning" , Dogan, Haluk and Hakguder, Zeynep and Madadjim, Roland and Scott, Stephen and Pierobon, Massimiliano and Cui, Juan , Briefings in bioinformatics , vol. 22 , no. 6 , pp. 270 , Oxford University Press
  • [ 2021 ] - "Using an integrative machine learning approach to study microRNA regulation networks in pancreatic cancer progression" , Madadjim, Roland
  • [ 2019 ] - "Elucidation of MicroRNA-Gene Regulation in Human Cancer with Integrative Network Models" , Dogan, Haluk and Hakguder, Zeynep and Scott, Stephen and Cui, Juan , in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) , pp. 2729--2734

Forensic

Total citations: 4

3
2023
1
2024
  • [ 2024 ] - "Decisionalizing the problem of reliance on expert and machine evidence" , Biedermann, Alex and Lau, Timothy , Law, Probability and Risk , vol. 23 , no. 1 , Oxford Academic
  • [ 2023 ] - "Evaluating Methods for Setting a Prior Probability of Guilt" , van Leeuwen, Ludi and Verheij, Bart and Verbrugge, Rineke and Renooij, Silja , in Legal Knowledge and Information Systems , vol. 379 , pp. 63--72 , IOS Press
  • [ 2023 ] - "Using agent-based simulations to evaluate Bayesian Networks for criminal scenarios" , van Leeuwen, Ludi and Verheij, Bart and Verbrugge, Rineke and Renooij, Silja , in Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law , pp. 323--332
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Optimization

Total citations: 3

2
2021
1
2024

Risk Management

Total citations: 3

1
2022
1
2023
1
2025

Epistemology

Total citations: 1

  • [ 2022 ] - "The punctuated equilibrium of scientific change: a Bayesian network model" , Grim, Patrick and Seidl, Frank and McNamara, Calum and Astor, Isabell N and Diaso, Caroline , Synthese , vol. 200 , no. 4 , pp. 1--25 , Springer

Finance

Total citations: 1

Statistics

Total citations: 1