Ioannis Tsamardinos

Constantin F. Aliferis , Alexander R. Statnikov , Pierre P. Massion , Ioannis Tsamardinos
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'03 47 -53

2003

Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.

Constantin F. Aliferis , Alexander R. Statnikov , Laura E. Brown , Ioannis Tsamardinos
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'03 371 -376

2003

Causal Data Mining in Bioinformatics.

Ioannis Tsamardinos
Ercim News 2007

2007

Towards Principled Feature Selection: Relevancy, Filters and Wrappers.

Constantin F. Aliferis , Ioannis Tsamardinos
international conference on artificial intelligence and statistics

192

2003

Learning Causal Structure from Overlapping Variable Sets

Sofia Triantafilou , Ioannis G. Tollis , Ioannis Tsamardinos
international conference on artificial intelligence and statistics 860 -867

2010

Methods for multi-category cancer diagnosis from gene expression data: a comprehensive evaluation to inform decision support system development.

Constantin F. Aliferis , Alexander R. Statnikov , Ioannis Tsamardinos
Studies in health technology and informatics 107 813 -817

2004

Flexible Dispatch of Disjunctive Plans

Philip Ganchev , Ioannis Tsamardinos , Martha E. Pollack
Sixth European Conference on Planning

2014

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions

Constantin F. Aliferis , Xenofon D. Koutsoukos , Alexander Statnikov , Subramani Mani
Journal of Machine Learning Research 11 ( 8) 235 -284

203

2010

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation

Constantin F. Aliferis , Xenofon D. Koutsoukos , Alexander Statnikov , Subramani Mani
Journal of Machine Learning Research 11 ( 7) 171 -234

614

2010

A Strategy for Making Predictions Under Manipulation

Laura E. Brown , Ioannis Tsamardinos
WCCI Causation and Prediction Challenge 35 -52

2008

Towards integrative causal analysis of heterogeneous data sets and studies

Vincenzo Lagani , Sofia Triantafillou , Ioannis Tsamardinos
Journal of Machine Learning Research 13 ( 1) 1097 -1157

2012

Constraint-based causal discovery from multiple interventions over overlapping variable sets

Sofia Triantafillou , Ioannis Tsamardinos
Journal of Machine Learning Research 16 ( 1) 2147 -2205

125

2015

"Hunting" for lung-cancer / mesothelioma early diagnostic biomarkers: results of a pilot analysis from the Cancer-Biomarker-HUNT study

Konstantinos Kerkentzes , Robin Mjelle , Oluf Dimitri Røe , Vincenzo Lagani
International Mesothelioma Interest Group Conference

2014

The possibility of integrative causal analysis: learning from different datasets and studies

Sofia Triantafillou , Ioannis Tsamardinos
International journal of engineering intelligent systems for electrical engineering and communications 17 163 -175

2009

Subtle but critical errors in deriving cancer signatures and markers from high-throughput molecular data: Two high-profile case studies

Constantin Aliferis , Jonathan Schildcrout , Alexander Statnikov , Frank Harrell
Clinical Cancer Research 13

2007

Score-based vs Constraint-based Causal Learning in the Presence of Confounders.

Sofia Triantafillou , Ioannis Tsamardinos
CFA@UAI 59 -67

2016

Skjulte skatter i “gamle” microarrays: Genprofilering portretterer biologi og resistensmekanismer i lungekreft og normalvev

Mogens Vyberg , Konstantinos Kerkentzes , Oluf Dimitri Røe , Vincenzo Lagani
BestPractice : Onkologi/hematologi (Norge) ( 21) 48 -54

2015