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aGrUM/pyAgrum Citations

Cite aGrUM/pyAgrum (BibTeX)

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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.

Cite aGrUM/pyAgrum (BibTeX)
Total citations 141

Citations by year

2026
2
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
Decision Support
8
Robotic
8
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

Decision Support

Total citations: 8

2
2021
1
2022
4
2024
1
2026

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

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
  • [ 2023 ] - "Legal Knowledge and Information Systems" , Van Leeuwen, Ludi and Verheij, Bart and Verbrugge, Rineke and Renooij, Silja , in 36th International Conference on Legal Knowledge and Information Systems, JURIX 2023 , pp. 63--72

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