Ioannis Tsamardinos
机构: Professor, Computer Science Department, University of Crete
主页: mensxmachina.org
每年引用次数
引用次数
引用: 13,198
H-指数: 47
I10-指数 : 119
出版物: 256
Serum biomarkers in mesothelioma 1-3 years before diagnosis: a pilot study
Robin Mjelle , Pål Sætrom , Oluf Dimitri Røe , Vincenzo Lagani
International Mesothelioma Interest Group Conference
2016
Advances in Integrative Causal Analysis
Ioannis Tsamardinos
ACI'15 Proceedings of the UAI 2015 Conference on Advances in Causal Inference - Volume 1504 90 -91
1
2015
Risk Assessment Models for Diabetes Complications: A Survey of Available Online Tools
Angelina Kouroubali , Vincenzo Lagani , Franco Chiarugi , Lefteris Koumakis
wireless mobile communication and healthcare
1
2012
Forward-Backward Selection with Early Dropping
Ioannis Tsamardinos , Giorgos Borboudakis
Journal of Machine Learning Research 20 ( 8) 1 -39
15
2019
Putting the Human Back in the AutoML Loop.
Vassilis Christophides , Eric Simon , Iordanis Xanthopoulos , Ioannis Tsamardinos
edbt/icdt workshops
2
2020
Metadata record for: STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse
David Gomez-Cabrero , Sonia Tarazona , Isabel Ferreirós-Vidal , Ricardo N Ramirez
figshare
2020
Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions
Christos Tselas , Yannis Pantazis , Vincenzo Lagani , Kleanthi Lakiotaki
bioinformatics and biomedicine 2505 -2512
2020
mensxmachina/CyTOF-Randomization: Challenges in the multivariate analysis of mass cytometry data: the effect of randomization.
Vincenzo Lagani , Jesper Tegner , David Gomez-Cabrero , Angelika Schmidt
Github
2019
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.
Laura Judith Marcos-Zambrano , Kanita Karaduzovic-Hadziabdic , Tatjana Loncar Turukalo , Piotr Przymus
Frontiers in Microbiology 12 634511
121
2021
STATegra: Multi-Omics Data Integration - A Conceptual Scheme With a Bioinformatics Pipeline
Patricia Sebastian-Leon , Vincenzo Lagani , Jesper Tegner , Jesper Tegner
Frontiers in Genetics 12 620453 -620453
16
2021
Deciphering the Methylation Landscape in Breast Cancer: Diagnostic and Prognostic Biosignatures through Automated Machine Learning.
Ekaterini Chatzaki , Maria Panagopoulou , Ioannis Iliopoulos , Vangelis G. Manolopoulos
Cancers 13 ( 7) 1677
2021
Forecasting military mental health in a complete sample of Danish military personnel deployed between 1992-2013.
Jaimie L. Gradus , Kasper Eskelund , Karen-Inge Karstoft , Søren B. Andersen
Journal of Affective Disorders 288 167 -174
2021
Extending greedy feature selection algorithms to multiple solutions
Ioannis Tsamardinos , Ioannis Tsamardinos , Giorgos Borboudakis
Data Mining and Knowledge Discovery 1 -42
2021
Prediction of outcome in patients with non-small cell lung cancer treated with second line PD-1/PDL-1 inhibitors based on clinical parameters: Results from a prospective, single institution study.
Konstantinos Rounis , Dimitrios Makrakis , Chara Papadaki , Alexia Monastirioti
PLOS ONE 16 ( 6)
2021
Metabolomics signature in serum months to years before thoracic cancer: The HUNT study
Oluf D. Røe , Vincenzo Lagani , Hans Fredrik Kvitvang , Maria Markaki
Journal of Clinical Oncology 35
2017
Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells.
Sofia Triantafillou , Vincenzo Lagani , Christina Heinze-Deml , Angelika Schmidt
Scientific Reports 7 ( 1) 12724
35
2017
A systematic review of predictive risk models for diabetes complications based on large scale clinical studies
Vincenzo Lagani , Lefteris Koumakis , Franco Chiarugi , Edin Lakasing
Journal of Diabetes and Its Complications 27 ( 4) 407 -413
38
2013
Realization of a service for the long-term risk assessment of diabetes-related complications
Vincenzo Lagani , Franco Chiarugi , Dimitris Manousos , Vivek Verma
Journal of Diabetes and Its Complications 29 ( 5) 691 -698
14
2015
Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data
Vincenzo Lagani , Franco Chiarugi , Shona Thomson , Jo Fursse
Journal of Diabetes and Its Complications 29 ( 4) 479 -487
30
2015
Multi-Source Causal Analysis: Learning Bayesian Networks from Multiple Datasets
Ioannis Tsamardinos , Asimakis P. Mariglis
artificial intelligence applications and innovations 479 -490
7
2009
Vincenzo Lagani Laura E. Brown Giorgos Borboudakis Martha E. Pollack Sofia Triantafillou Jesper Tegnér Oluf Dimitri Røe Doug Hardin Michail Tsagris Ioannis G. Tollis Nestoras Karathanasis Xenofon Koutsoukos Dirk Colbry Panayiota Poirazi Shawn Levy Grigoris Antoniou John Horty Lefteris Koumakis Panagiotis Tsakalides