Ινστιτούτο Πληροφορικής & Τηλεπικοινωνιών
Do We Really Need Feature Selection in a Data Analysis Pipeline?
About — Ioannis Tsamardinos
Non-parametric combination analysis of multiple data types enables detection of novel regulatory mechanisms in T cells of multiple sclerosis patients | Scientific Reports
JCM | Free Full-Text | Liquid Biopsy in Type 2 Diabetes Mellitus Management: Building Specific Biosignatures via Machine Learning
Performance-Estimation Properties of Cross-Validation-Based Protocols with Simultaneous Hyper-Parameter Optimization | SpringerLink
A Unified View of Causal and Non-causal Feature Selection | ACM Transactions on Knowledge Discovery from Data
Speakers | phd-seminar-22-11-2021
Ioannis Tsamardinos – Gnosis
GLL-MB: Generalized Local Learning-Markov Blanket algorithm. | Download Scientific Diagram
Causal Discovery from Mass Cytometry Data: Ioannis Tsamardinos - Department of Philosophy - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University
The h-index for Greek origin Computer Scientists & Engineers
Ioannis Tsamardinos – Gnosis
Frontiers | Structural Basis of the Subcellular Topology Landscape of Escherichia coli | Microbiology
Ranking The Researchers and Scientists in Greece 2017 | PDF | Scholarly Communication | Methodology
Konstantinos Paraschakis - Senior Data Scientist - JADBio | LinkedIn
JADBio Automated Machine Learning Platform - AutoML
Do We Really Need Feature Selection in a Data Analysis Pipeline?
CV - IOANNIS MOURTZAKIS
The h-index for Greek origin Computer Scientists & Engineers
Five types of causal discovery from local (types 1, 2), to global (4,... | Download Scientific Diagram
Relationship between causal structure and predictivity in faithful... | Download Scientific Diagram
Distinguished Lecture Series Archive – Center for Causal Discovery
Scenarios explaining good empirical performance of PC(T ) set for... | Download Scientific Diagram
Speakers | phd-seminar-22-11-2021
Ινστιτούτο Πληροφορικής & Τηλεπικοινωνιών
The h-index for Greek origin Computer Scientists & Engineers
