Ilias Tagkopoulos
Artificial Intelligence · 2008–2016
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
Whom Ilias Tagkopoulos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ilias Tagkopoulos overall
Papers from Ilias Tagkopoulos's perspective
Ordered by how strongly the researchers Ilias Tagkopoulos trusts endorse each paper. Same corpus, a different order for every researcher.
- Pattern Recognition and Machine Learning
- The Elements of Statistical Learning
- The Surviving Sepsis Campaign: results of an international guideline-based performance improvement program targeting severe sepsis (Intensive Care Medicine)
- Data Analysis with Bayesian Networks: A Bootstrap Approach
- Early Goal-Directed Therapy in the Treatment of Severe Sepsis and Septic Shock
- ROC Graphs: Notes and Practical Considerations for Researchers
- Identification of genes required for cellulose synthesis by regression analysis of public microarray data sets. (Proceedings of the National Academy of Sciences of the United States of America)
- Identification of Novel Genes in Arabidopsis Involved in Secondary Cell Wall Formation Using Expression Profiling and Reverse Genetics (The Plant Cell Online)
- Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock, 2012
- Learning Bayesian Networks with the bnlearn R Package
Their papers
- From Data to Optimal Decision Making: A Data-Driven, Probabilistic Machine Learning Approach to Decision Support for Patients With Sepsis (2015) — 101 citations
- Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli (2016) — 134 citations
- Predictive Behavior Within Microbial Genetic Networks (2008) — 458 citations
- An Arabidopsis Gene Regulatory Network for Secondary Cell Wall Synthesis (2014) — 683 citations
- From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system (2014) — 184 citations