Marco Scutari - RankMe

49 papers B 1C 1Journal 34Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Benchmarking Constraint-Based Bayesian Structure Learning Algorithms: Role of Network Topology. CoRR Radha Nagarajan, Marco Scutari
2025	J	`jnl`	Causal Discovery on Higher-Order Interactions. CoRR Alessio Zanga, Marco Scutari, Fabio Stella
2025	—	`conf`	Causal Networks of Infodemiological Data: Modelling Dermatitis. AIME (1) Marco Scutari, Samir Salah, Delphine Kerob, Jean Krutmann
2025	J	`jnl`	DAG Learning from Zero-Inflated Count Data Using Continuous Optimization. CoRR Noriaki Sato, Marco Scutari, Shuichi Kawano, Rui Yamaguchi, Seiya Imoto
2025	J	`jnl`	Federated causal discovery with missing data in a multicentric study on endometrial cancer. J. Biomed. Informatics Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Anthony C. Constantinou
2025	J	`jnl`	Large scale causal modeling to identify adults at risk for combined and common variable immunodeficiencies. npj Digit. Medicine Giorgos Papanastasiou, Marco Scutari, Raffi Tachdjian, Vivian Hernandez-Trujillo, Jason Raasch, Kaylyn Billmeyer, Nikolay V. Vasilyev, Vladimir Ivanov
2025	J	`jnl`	Practical Causal Evaluation Metrics for Biological Networks. CoRR Noriaki Sato, Marco Scutari, Shuichi Kawano, Rui Yamaguchi, Seiya Imoto
2025	J	`jnl`	Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics. CoRR Daniele Malpetti, Marco Scutari, Francesco Gualdi, Jessica van Setten, Sander W. Van der Laan, Saskia Haitjema, Aaron Mark Lee, Isabelle Hering, Francesca Mangili
2025	J	`jnl`	Technical and legal aspects of federated learning in bioinformatics: applications, challenges and opportunities. Frontiers Digit. Health Daniele Malpetti, Marco Scutari, Francesco Gualdi, Jessica van Setten, Sander W. Van der Laan, Saskia Haitjema, Aaron Mark Lee, Isabelle Hering, Francesca Mangili
2025	—	`conf`	Unveiling Sleep Dysregulation in Chronic Fatigue Syndrome with and Without Fibromyalgia Through Bayesian Networks. AIME (1) Michal Bechny, Marco Scutari, Julia van der Meer, Francesca D. Faraci, Stéphane Meystre, Benjamin H. Natelson, Akifumi Kishi
2024	J	`jnl`	Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation. Algorithms Marco Scutari
2024	J	`jnl`	Learning Bayesian networks with heterogeneous agronomic data sets via mixed-effect models and hierarchical clustering. Eng. Appl. Artif. Intell. Lorenzo Valleggi, Marco Scutari, Federico Mattia Stefanini
2023	C	`conf`	Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks. TIME Alessandro Bregoli, Karin Rathsman, Marco Scutari, Fabio Stella, Søren Wengel Mogensen
2023	J	`jnl`	Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks. CoRR Alessandro Bregoli, Karin Rathsman, Marco Scutari, Fabio Stella, Søren Wengel Mogensen
2023	B	`conf`	Causal Discovery with Missing Data in a Multicentric Clinical Study. AIME Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2023	J	`jnl`	Causal Discovery with Missing Data in a Multicentric Clinical Study. CoRR Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2023	J	`jnl`	Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation. CoRR Marco Scutari
2023	J	`jnl`	Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering. CoRR Lorenzo Valleggi, Marco Scutari, Federico Mattia Stefanini
2023	J	`jnl`	Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach. CoRR Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2023	—	`conf`	Towards a Transportable Causal Network Model Based on Observational Healthcare Data. HC@AIxIA Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Antonio Stella
2023	J	`jnl`	Towards a Transportable Causal Network Model Based on Observational Healthcare Data. CoRR Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Stella
2023	J	`jnl`	fairml: A Statistician's Take on Fair Machine Learning Modelling. CoRR Marco Scutari
2022	J	`jnl`	A Bayesian hierarchical score for structure learning from related data sets. Int. J. Approx. Reason. Laura Azzimonti, Giorgio Corani, Marco Scutari
2022	J	`jnl`	Achieving fairness with a simple ridge penalty. Stat. Comput. Marco Scutari, Francesca Panero, Manuel Proissl
2022	J	`jnl`	Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors. Comput. Biol. Medicine Matteo Delucchi, Georg Ralph Spinner, Marco Scutari, Philippe Bijlenga, Sandrine Morel, Christoph M. Friedrich, Reinhard Furrer, Sven Hirsch
2022	J	`jnl`	Comments on: "Hybrid Semiparametric Bayesian Networks". CoRR Marco Scutari
2022	—	`conf`	Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach. HC@AIxIA Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2022	J	`jnl`	Using Mixed-Effect Models to Learn Bayesian Networks from Related Data Sets. CoRR Marco Scutari, Christopher Marquis, Laura Azzimonti
2022	—	`conf`	Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets. PGM Marco Scutari, Christopher Marquis, Laura Azzimonti
2021	J	`jnl`	A constraint-based algorithm for the structural learning of continuous-time Bayesian networks. Int. J. Approx. Reason. Alessandro Bregoli, Marco Scutari, Fabio Stella
2021	J	`jnl`	Achieving Fairness with a Simple Ridge Penalty. CoRR Marco Scutari, Manuel Proissl
2021	J	`jnl`	Learning Bayesian networks from incomplete data with the node-average likelihood. Int. J. Approx. Reason. Tjebbe Bodewes, Marco Scutari
2020	—	`conf`	Constraing-Based Learning for Continous-Time Bayesian Networks. PGM Alessandro Bregoli, Marco Scutari, Fabio Stella
2020	J	`jnl`	Constraint-Based Learning for Continuous-Time Bayesian Networks. CoRR Alessandro Bregoli, Marco Scutari, Fabio Stella
2020	J	`jnl`	Hard and Soft EM in Bayesian Network Learning from Incomplete Data. Algorithms Andrea Ruggieri, Francesco Stranieri, Fabio Stella, Marco Scutari
2020	J	`jnl`	Hard and Soft EM in Bayesian Network Learning from Incomplete Data. CoRR Andrea Ruggieri, Francesco Stranieri, Fabio Stella, Marco Scutari
2020	—	`conf`	Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data. PGM Tjebbe Bodewes, Marco Scutari
2020	—	`conf`	Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. PGM Laura Azzimonti, Giorgio Corani, Marco Scutari
2020	J	`jnl`	Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. CoRR Laura Azzimonti, Giorgio Corani, Marco Scutari
2019	J	`jnl`	Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation. Stat. Comput. Marco Scutari, Claudia Vitolo, Allan Tucker
2019	J	`jnl`	Who learns better Bayesian network structures: Accuracy and speed of structure learning algorithms. Int. J. Approx. Reason. Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez
2018	—	`conf`	Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez
2017	—	`conf`	Dirichlet Bayesian Network Scores and the Maximum Entropy Principle. AMBN Marco Scutari
2016	—	`conf`	An Empirical-Bayes Score for Discrete Bayesian Networks. Probabilistic Graphical Models Marco Scutari
2015	—	`ch.`	Graphical Modelling in Genetics and Systems Biology. Foundations of Biomedical Knowledge Representation Marco Scutari
2015	—	`ch.`	Personalised Medicine: Taking a New Look at the Patient. Foundations of Biomedical Knowledge Representation Marco Scutari
2014	J	`jnl`	Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package. CoRR Marco Scutari
2013	J	`jnl`	Identifying significant edges in graphical models of molecular networks. Artif. Intell. Medicine Marco Scutari, Radhakrishnan Nagarajan
2009	J	`jnl`	NATbox: a network analysis toolbox in R. BMC Bioinform. Shweta S. Chavan, Michael A. Bauer, Marco Scutari, Radhakrishnan Nagarajan