Ioannis Tsamardinos

About Ioannis Tsamardinos

Ioannis Tsamardinos, With an exceptional h-index of 45 and a recent h-index of 36 (since 2020), a distinguished researcher at University of Crete, specializes in the field of Machine Learning, Data Science, Bioinformatics, Causal Discovery, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improving Lung Cancer Screening Selection: The HUNT Lung Cancer Risk Model for Ever-Smokers Versus the NELSON and 2021 United States Preventive Services Task Force Criteria in …

Leveraging compact feature sets for TCGA-based molecular subtype classification on new samples

Towards Automated Causal Discovery: a case study on 5G telecommunication data

Do we really need imputation in AutoML predictive modeling?

A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML

Corrigendum to “A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning”[IBRO Neurosci Rep. 15 (2023) 77–89]

A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning

Correction: 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 …

Ioannis Tsamardinos Information

University

Position

Professor Computer Science Department

Citations(all)

12687

Citations(since 2020)

5647

Cited By

9163

hIndex(all)

45

hIndex(since 2020)

36

i10Index(all)

117

i10Index(since 2020)

83

Email

University Profile Page

Google Scholar

Ioannis Tsamardinos Skills & Research Interests

Machine Learning

Data Science

Bioinformatics

Causal Discovery

Artificial Intelligence

Top articles of Ioannis Tsamardinos

Improving Lung Cancer Screening Selection: The HUNT Lung Cancer Risk Model for Ever-Smokers Versus the NELSON and 2021 United States Preventive Services Task Force Criteria in …

JTO Clinical and Research Reports

2024/4/1

Leveraging compact feature sets for TCGA-based molecular subtype classification on new samples

Cancer Research

2024/3/22

Towards Automated Causal Discovery: a case study on 5G telecommunication data

arXiv preprint arXiv:2402.14481

2024/2/22

Sofia Triantafillou
Sofia Triantafillou

H-Index: 8

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

Do we really need imputation in AutoML predictive modeling?

ACM Transactions on Knowledge Discovery from Data

2024

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML

arXiv preprint arXiv:2312.06305

2023/12/11

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

Corrigendum to “A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning”[IBRO Neurosci Rep. 15 (2023) 77–89]

IBRO Neuroscience Reports

2023/12

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning

IBRO Neuroscience Reports

2023/12/1

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

Correction: 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 …

Plos one

2023/11/9

XPF interacts with TOP2B for R-loop processing and DNA looping on actively transcribed genes

Science Advances

2023/11/8

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

Caroline Austin
Caroline Austin

H-Index: 0

Learning biologically-interpretable latent representations for gene expression data: pathway activity score learning algorithm

Machine Learning

2023/11

Vincenzo Lagani
Vincenzo Lagani

H-Index: 18

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

Automated machine learning for genome wide association studies

Bioinformatics

2023/9/1

A meta-level analysis of online anomaly detectors

The VLDB Journal

2023/7

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

Prediction of 6-year risk of bladder cancer using the HUNT Lung Cancer Risk Model in ever-smokers: A HUNT study.

2023/6/1

Vincenzo Lagani
Vincenzo Lagani

H-Index: 18

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

EP01. 01-009 Common MicroRNAs in Pre-diagnostic Serum Associated with Lung Cancer in Two Cohorts up to Eight Years Before Diagnosis: A HUNT Study

Journal of Thoracic Oncology

2022/9/1

Corrigendum to “A validated clinical risk prediction model for lung cancer in smokers of all ages and exposure types: A HUNT study”[EBioMedicine 31 (2018) 36–46]

EBioMedicine

2022/8/1

Out-of-sample tuning for causal discovery

IEEE transactions on neural networks and learning systems

2022/7/13

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

Sofia Triantafillou
Sofia Triantafillou

H-Index: 8

Just add data: automated predictive modeling for knowledge discovery and feature selection

NPJ precision oncology

2022/6/16

The essentials of multiomics

2022/4/1

Gerry Melino
Gerry Melino

H-Index: 66

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

Tissue-specific methylation biosignatures for monitoring diseases: an in silico approach

International Journal of Molecular Sciences

2022/3/9

Ioannis Iliopoulos
Ioannis Iliopoulos

H-Index: 9

Ioannis Tsamardinos
Ioannis Tsamardinos

H-Index: 30

Liquid biopsy in type 2 diabetes mellitus management: building specific biosignatures via machine learning

Journal of Clinical Medicine

2022/2/17

See List of Professors in Ioannis Tsamardinos University(University of Crete)

Co-Authors

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